Best Match: New relevance search for PubMed

Optimizing search engines using clickthrough data

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Okapi at TREC

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Learning to rank for information retrieval

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Learning to Rank for Information Retrieval

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Accurately interpreting clickthrough data as implicit feedback

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From RankNet to LambdaRank to LambdaMART: An Overview

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Encyclopedia of Machine Learning and Data Mining

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A Deep Relevance Matching Model for Ad-hoc Retrieval

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Learning to Rank Short Text Pairs with Convolutional Deep Neural Networks

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Literature mining for the biologist: from information retrieval to biological discovery

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DNorm: disease name normalization with pairwise learning to rank

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Understanding PubMed(R) user search behavior through log analysis

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Yahoo! Learning to Rank Challenge Overview

Chapelle, O., & Chang, Y. (2010) · Cited by 231 · see citing works

TREC genomics special issue overview

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A model to estimate intrinsic document relevance from the clickthrough logs of a web search engine

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Neural information retrieval: at the end of the early years

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Towards PubMed 2.0

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An empirical evaluation of supervised learning approaches in assigning diagnosis codes to electronic medical records

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Online Controlled Experiments and A/B Testing

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Banner advertising: Measuring effectiveness and optimizing placement

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MeSH Now: Automatic MeSH indexing at PubMed scale via learning to rank

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An empirical study of tokenization strategies for biomedical information retrieval

Jiang, J., & Zhai, C. (2007) · Information Retrieval · doi:10.1007/s10791-007-9027-7 · Cited by 78 · see citing works

Information Retrieval

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A machine learning approach for improved BM25 retrieval

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Two-Stage Learning to Rank for Information Retrieval

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Generating labels from clicks

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Bridging the gap: Incorporating a semantic similarity measure for effectively mapping PubMed queries to documents

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Deep Learning for Information Retrieval

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Evaluating Relevance Ranking Strategies for MEDLINE Retrieval

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How good is a span of terms?

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ProtDec-LTR2.0: an improved method for protein remote homology detection by combining pseudo protein and supervised Learning to Rank

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Deep Learning for Biomedical Information Retrieval: Learning Textual Relevance from Click Logs

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Large-Scale Learning to Rank Using Boosted Decision Trees

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A survey on Learning to Rank (LETOR) approaches in information retrieval

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Position-Aware Representations for Relevance Matching in Neural Information Retrieval

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Learning to rank-based gene summary extraction

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A Field Sensor: computing the composition and intent of PubMed queries

Yeganova, L. E., Kim, W. B., Comeau, D. C., Wilbur, W. J., & Lu, Z. (2018) · Database · doi:10.1093/database/bay052 · Cited by 6 · see citing works

ETH Zurich at TREC Clinical Decision Support 2016.

Greuter, S., Junker, P., Kuhn, L., Mance, F., Mermet, V., Rellstab, A., & Eickhoff, C. (2016) · Text REtrieval Conference · Cited by 4 · see citing works

WaterlooClarke: TREC 2015 Clinical Decision Support Track

Ghenai, A., Khalilov, E., Valov, P., & Clarke, C. L. A. (2015) · Text REtrieval Conference · Cited by 3 · see citing works

Learning to rank for biomedical information retrieval

Xu, B., Lin, H., Lin, Y., Ma, Y., Yang, L., Wang, J., & Yang, Z. (2015) · IEEE International Conference on Bioinformatics and Biomedicine (BIBM) · doi:10.1109/bibm.2015.7359729 · Cited by 3 · see citing works

A Generative Model for Generating Relevance Labels from Human Judgments and Click-Logs

Ye, X., Li, J., Qi, Z., Peng, B., & Massey, D. (2014) · ACM International Conference on Information and Knowledge Management (CIKM) · doi:10.1145/2661829.2661897 · Cited by 2 · see citing works

Database resources of the National Center for Biotechnology Information: update

Wheeler, D. L. (2003) · Nucleic Acids Research · doi:10.1093/nar/gkh073 · Cited by 10,691 · see citing works

Database resources of the national center for biotechnology information

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Database resources of the National Center for Biotechnology Information

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Database resources of the National Center for Biotechnology Information

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Database resources of the National Center for Biotechnology Information in 2023

Sayers, E. W., Bolton, E., Brister, J. R., Canese, K., Chan, J., Comeau, D. C., Farrell, C. M., Feldgarden, M., Fine, A. M., Funk, K., et al. (2022) · Nucleic Acids Research · doi:10.1093/nar/gkac1032 · Cited by 436 · see citing works

Database resources of the National Center for Biotechnology Information

Sayers, E. W., Beck, J. D., Brister, J. R., Bolton, E., Canese, K., Comeau, D. C., Funk, K., Ketter, A., Kim, S., Kimchi, A., et al. (2019) · Nucleic Acids Research · doi:10.1093/nar/gkz899 · Cited by 412 · see citing works

Database resources of the National Center for Biotechnology Information

Sayers, E. W., Beck, J. D., Bolton, E., Brister, J. R., Chan, J., Comeau, D. C., Connor, R. P., DiCuccio, M. N., Farrell, C. M., Feldgarden, M., et al. (2023) · Nucleic Acids Research · doi:10.1093/nar/gkad1044 · Cited by 383 · see citing works

Can large language models replace humans in systematic reviews? Evaluating <scp>GPT</scp> ‐4's efficacy in screening and extracting data from peer‐reviewed and grey literature in multiple languages

Khraisha, Q., Put, S., Kappenberg, J., Warraitch, A., & Hadfield, K. (2024) · Research Synthesis Methods · doi:10.1002/jrsm.1715 · Cited by 269 · see citing works

Can large language models replace humans in the systematic review process? Evaluating GPT-4's efficacy in screening and extracting data from peer-reviewed and grey literature in multiple languages

Khraisha, Q., Put, S., Kappenberg, J., Warraitch, A., & Hadfield, K. (2023) · arXiv · doi:10.48550/arxiv.2310.17526 · Cited by 268 · see citing works

LitCovid: an open database of COVID-19 literature

Chen, Q., Allot, A., & Lu, Z. (2021) · Nucleic Acids Research · doi:10.1093/nar/gkaa952 · Cited by 253 · see citing works

MedCPT: Contrastive Pre-trained Transformers with large-scale PubMed search logs for zero-shot biomedical information retrieval

Jin, Q., Kim, W., Chen, Q., Comeau, D. C., Yeganova, L., Wilbur, W. J., & Lu, Z. (2023) · Bioinformatics · doi:10.1093/bioinformatics/btad651 · Cited by 175 · see citing works

PubMed and beyond: biomedical literature search in the age of artificial intelligence

Jin, Q., Leaman, R., & Lu, Z. (2024) · EBioMedicine · doi:10.1016/j.ebiom.2024.104988 · Cited by 140 · see citing works

Defining Aging in Place: The Intersectionality of Space, Person, and Time

Rogers, W. A., Ramadhani, W., & Harris, M. T. (2020) · Innovation in Aging · doi:10.1093/geroni/igaa036 · Cited by 119 · see citing works

Factors Affecting the Quality of Person-Generated Wearable Device Data and Associated Challenges: Rapid Systematic Review

Cho, S., Ensari, I., Weng, C., Kahn, M. G., & Natarajan, K. (2021) · JMIR mhealth and uhealth · doi:10.2196/20738 · Cited by 110 · see citing works

Information Retrieval

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Artificial Intelligence in Action: Addressing the COVID-19 Pandemic with Natural Language Processing

Chen, Q., Leaman, R., Allot, A., Luo, L., Wei, C.-H., Yan, S., & Lu, Z. (2021) · Annual Review of Biomedical Data Science · doi:10.1146/annurev-biodatasci-021821-061045 · Cited by 75 · see citing works

How user intelligence is improving PubMed

Fiorini, N., Leaman, R., Lipman, D. J., & Lu, Z. (2018) · Nature Biotechnology · doi:10.1038/nbt.4267 · Cited by 74 · see citing works

Enhancing systematic literature reviews with generative artificial intelligence: development, applications, and performance evaluation

Li, Y., Datta, S., Rastegar-Mojarad, M., Lee, K., Paek, H., Glasgow, J., Liston, C., He, L., Wang, X., & Xu, Y. (2025) · Journal of the American Medical Informatics Association · doi:10.1093/jamia/ocaf030 · Cited by 69 · see citing works

Exploring semi-supervised variational autoencoders for biomedical relation extraction

Zhang, Y., & Lu, Z. (2019) · Methods · doi:10.1016/j.ymeth.2019.02.021 · Cited by 66 · see citing works

SMAC, a computational system to link literature, biomedical and expression data

Pirro, S., Gadaleta, E., Galgani, A., Colizzi, V., & Chelala, C. (2019) · Scientific Reports · doi:10.1038/s41598-019-47046-2 · Cited by 65 · see citing works

Using the contextual language model BERT for multi-criteria classification of scientific articles

Ambalavanan, A. K., & Devarakonda, M. V. (2020) · Journal of Biomedical Informatics · doi:10.1016/j.jbi.2020.103578 · Cited by 56 · see citing works

LitSense: making sense of biomedical literature at sentence level

Allot, A., Chen, Q., Kim, S., Alvarez, R. V., Comeau, D. C., Wilbur, W. J., & Lu, Z. (2019) · Nucleic Acids Research · doi:10.1093/nar/gkz289 · Cited by 55 · see citing works

Proceedings of the 20th Workshop on Biomedical Language Processing

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DISNET: a framework for extracting phenotypic disease information from public sources

García, G. L., Rodríguez‐González, A., Santamaría, L. P., del Valle, E. P. G., Zanin, M., & Menasalvas, E. (2020) · PeerJ · doi:10.7717/peerj.8580 · Cited by 44 · see citing works

A Systematic Review of Fairness, Accountability, Transparency, and Ethics in Information Retrieval

Bernard, N., & Balog, K. (2023) · ACM Computing Surveys · doi:10.1145/3637211 · Cited by 43 · see citing works

Advancing Chinese biomedical text mining with community challenges

Zong, H., Wu, R., Cha, J., Feng, W., Wu, E., Li, J., Shao, A., Tao, L., Li, Z., Tang, B., et al. (2024) · Journal of Biomedical Informatics · doi:10.1016/j.jbi.2024.104716 · Cited by 42 · see citing works

Large expert-curated database for benchmarking document similarity detection in biomedical literature search

Brown, P., Tan, A.-C., El-Esawi, M. A., Liehr, T., Blanck, O., Gladue, D. P., Almeida, G. M. D. F., Cernava, T., Sorzano, C. Ó. S., Yeung, A. W. K., et al. (2019) · Database · doi:10.1093/database/baz085 · Cited by 42 · see citing works

Information Retrieval and Knowledge Organization: A Perspective from the Philosophy of Science

Hjørland, B. (2021) · Information · doi:10.3390/info12030135 · Cited by 42 · see citing works

Applications of natural language processing in ophthalmology: present and future

Chen, J., & Baxter, S. L. (2022) · Frontiers in Medicine · doi:10.3389/fmed.2022.906554 · Cited by 40 · see citing works

Artificial intelligence behind the scenes: PubMed’s Best Match algorithm

Kiester, L., & Turp, C. (2022) · Journal of the Medical Library Association JMLA · doi:10.5195/jmla.2022.1236 · Cited by 36 · see citing works

Controversial Past, Splendid Present, Unpredictable Future: A Brief Review of Alzheimer Disease History

Bermejo‐Pareja, F., & del Ser, T. (2024) · Journal of Clinical Medicine · doi:10.3390/jcm13020536 · Cited by 35 · see citing works

PPFIA4 Promotes Colon Cancer Cell Proliferation and Migration by Enhancing Tumor Glycolysis

Huang, J., Yang, M., Liu, Z., Li, X., Wang, J., Fu, N., Cao, T., & Yang, X. (2021) · Frontiers in Oncology · doi:10.3389/fonc.2021.653200 · Cited by 32 · see citing works

Biomedical event extraction with a novel combination strategy based on hybrid deep neural networks

Zhu, L., & Zheng, H. (2020) · BMC Bioinformatics · doi:10.1186/s12859-020-3376-2 · Cited by 31 · see citing works

Biomedical Relation Extraction With Knowledge Graph-Based Recommendations

Sousa, D., & Couto, F. M. (2022) · IEEE Journal of Biomedical and Health Informatics · doi:10.1109/jbhi.2022.3173558 · Cited by 31 · see citing works

MedAide: Information fusion and anatomy of medical intents via LLM-based agent collaboration

Yang, D., Wei, J., Li, M., Liu, J., Liu, L., Hu, M., He, J., Ju, Y., Zhou, W., Liu, Y., et al. (2025) · Information Fusion · doi:10.1016/j.inffus.2025.103743 · Cited by 28 · see citing works

PubMed Labs: an experimental system for improving biomedical literature search

Fiorini, N., Canese, K., Bryzgunov, R., Radetska, I., Gindulytė, A., Latterner, M., Miller, V., Osipov, M., Kholodov, M., Starchenko, G., et al. (2018) · Database · doi:10.1093/database/bay094 · Cited by 28 · see citing works

Searching PubMed to Retrieve Publications on the COVID-19 Pandemic: Comparative Analysis of Search Strings

Lazarus, J. V., Palayew, A., Rasmussen, L. N., Andersen, T. H., Nicholson, J., & Norgaard, O. (2020) · Journal of Medical Internet Research · doi:10.2196/23449 · Cited by 25 · see citing works

Google Versus PubMed: Comparison of Google and PubMed’s Search Tools for Answering Clinical Questions in the Emergency Department

Morshed, T., & Hayden, S. R. (2019) · Annals of Emergency Medicine · doi:10.1016/j.annemergmed.2019.07.003 · Cited by 24 · see citing works

Literature search sandbox: a large language model that generates search queries for systematic reviews

Adam, G. P., DeYoung, J., Paul, A., Saldanha, I. J., Balk, E. M., Trikalinos, T. A., & Wallace, B. (2024) · JAMIA Open · doi:10.1093/jamiaopen/ooae098 · Cited by 21 · see citing works

SIB Literature Services: RESTful customizable search engines in biomedical literature, enriched with automatically mapped biomedical concepts

Gobeill, J., Caucheteur, D., Michel, P.-A., Mottin, L., Pasche, E., & Ruch, P. (2020) · Nucleic Acids Research · doi:10.1093/nar/gkaa328 · Cited by 20 · see citing works

Supporting Scholarly Search by Query Expansion and Citation Analysis

Khalid, S., & Wu, S. (2020) · Engineering Technology & Applied Science Research · doi:10.48084/etasr.3655 · Cited by 19 · see citing works

Navigation-based candidate expansion and pretrained language models for citation recommendation

Nogueira, R. F., Jiang, Z., Cho, K., & Lin, J. (2020) · Scientometrics · doi:10.1007/s11192-020-03718-9 · Cited by 19 · see citing works

Literature Review of COVID-19, Pulmonary and Extrapulmonary Disease

Yazdanpanah, F., Garg, A., Shadman, S., & Asmarz, H. Y. (2021) · The American Journal of the Medical Sciences · doi:10.1016/j.amjms.2021.01.023 · Cited by 17 · see citing works

Generating Biomedical Question Answering Corpora From Q&A Forums

Lamúrias, A., Sousa, D., & Couto, F. M. (2020) · IEEE Access · doi:10.1109/access.2020.3020868 · Cited by 16 · see citing works

Problem gambling during Covid-19

Frisone, F., Alibrandi, A., & Settineri, S. (2020) · Mediterranean Journal of Clinical Psychology · doi:10.6092/2282-1619/mjcp-2457 · Cited by 15 · see citing works

Systematic review of flaxseed (Linum usitatissimum L.) extract and formulation in wound healing

Sharil, A. T. M., Ezzat, M. B., Widya, L., Nurhakim, M. H. A., Hikmah, A. R. N., Zafira, Z. N., & Haris, M. S. (2022) · Journal of Pharmacy & Pharmacognosy Research · doi:10.56499/jppres21.1125_10.1.1 · Cited by 15 · see citing works

Information Retrieval

Hersh, W. (2021) · Springer eBooks · doi:10.1007/978-3-030-58721-5_23 · Cited by 14 · see citing works

GRAPHENE

Zhao, S., Su, C., Sboner, A., & Wang, F. (2019) · ACM International Conference on Information and Knowledge Management (CIKM) · doi:10.1145/3357384.3358038 · Cited by 14 · see citing works

Ten tips for a text-mining-ready article: How to improve automated discoverability and interpretability

Leaman, R., Wei, C.-H., Allot, A., & Lu, Z. (2020) · PLoS Biology · doi:10.1371/journal.pbio.3000716 · Cited by 14 · see citing works

Do it faster with PICOS: Generative AI-Assisted systematic review screening

Vallamchetla, S. K., Abdelkader, O., Elnaggar, A., Ramadan, D., Islam Shourav, M. M., Riaz, I. B., & Lin, M. P. (2025) · Journal of Biomedical Informatics · doi:10.1016/j.jbi.2025.104860 · Cited by 13 · see citing works

Comprehensive review of academic search systems: evolution, analysis, and future research directions

Khalid, S., Almutairi, S. S., Namoun, A., Khan, J., Khattak, H. A., & Shah, H. (2025) · Social Network Analysis and Mining · doi:10.1007/s13278-025-01476-1 · Cited by 13 · see citing works

You Can Teach an Old Dog New Tricks: Rank Fusion applied to Coordination Level Matching for Ranking in Systematic Reviews

Scells, H., Zuccon, G., & Koopman, B. (2020) · Lecture notes in computer science · doi:10.1007/978-3-030-45439-5_27 · Cited by 13 · see citing works

Efficacy improvement in searching MEDLINE database using a novel PubMed visual analytic system: EEEvis

Lee, J.-C., Lee, B. J., Park, C., Song, H., Ock, C., Sung, H., Woo, S., Youn, Y., Jung, K., Jung, J. H., et al. (2023) · PLoS ONE · doi:10.1371/journal.pone.0281422 · Cited by 13 · see citing works

Discovering novel disease comorbidities using electronic medical records

Chaganti, S., Welty, V. F., Taylor, W. D., Albert, K. M., Failla, M. D., Cascio, C. J., Smith, S. A., Mawn, L. A., Resnick, S. M., Beason‐Held, L. L., et al. (2019) · PLoS ONE · doi:10.1371/journal.pone.0225495 · Cited by 13 · see citing works

The Central Metabolism Model of Anopheles gambiae: A Tool for Understanding Malaria Vector Biology

Adedeji, E. O., Ogunlana, O. O., Fatumo, S., Aromolaran, O., Beder, T., Koenig, R., & Adebiyi, E. F. (2023) · Springer eBooks · doi:10.1007/978-3-031-33370-5_16 · Cited by 12 · see citing works

Gatekeeping should be conserved in the open science era

Desmond, H. (2024) · Synthese · doi:10.1007/s11229-024-04559-2 · Cited by 12 · see citing works

Better synonyms for enriching biomedical search

Yeganova, L. E., Kim, S., Chen, Q., Balasanov, G., Wilbur, W. J., & Lu, Z. (2020) · Journal of the American Medical Informatics Association · doi:10.1093/jamia/ocaa151 · Cited by 12 · see citing works

Commentary to Gusenbauer and Haddaway 2020: Evaluating retrieval qualities of Google Scholar and PubMed

Klopfenstein, D. V., & Dampier, W. (2020) · Research Synthesis Methods · doi:10.1002/jrsm.1456 · Cited by 10 · see citing works

Towards a unified search: Improving PubMed retrieval with full text

Kim, W. B., Yeganova, L. E., Comeau, D. C., Wilbur, W. J., & Lu, Z. (2022) · Journal of Biomedical Informatics · doi:10.1016/j.jbi.2022.104211 · Cited by 10 · see citing works

LADER: Log-Augmented DEnse Retrieval for Biomedical Literature Search

Jin, Q., Shin, A., & Lu, Z. (2023) · International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · doi:10.1145/3539618.3592005 · Cited by 10 · see citing works

The Weight of Surgical Knowledge

Choi, J., Stave, C. D., & Spain, D. A. (2021) · Annals of Surgery · doi:10.1097/sla.0000000000005365 · Cited by 10 · see citing works

Risk factors for surgical site infections using a data-driven approach

van Niekerk, J. M., Vos, M. D., Stein, A., Braakman‐Jansen, L. M. A., holt, A. F. V. I. ’., & van Gemert‐Pijnen, J. E. W. C. (2020) · PLoS ONE · doi:10.1371/journal.pone.0240995 · Cited by 10 · see citing works

Recommender Systems

Castells, P., & Jannach, D. (2024) · ACM eBooks · doi:10.1145/3674127.3674131 · Cited by 9 · see citing works

Disparities in Regional Publication Trends on the Topic of Artificial Intelligence in Biomedical Science Over the Last Five Years: A Bibliometric Analysis

Shiferaw, K. B., Waltemath, D., & Zeleke, A. A. (2022) · Studies in health technology and informatics · doi:10.3233/shti220541 · Cited by 9 · see citing works

The Governance of Core Competencies for Public Health: A Rapid Review of the Literature

Sandhu, H. S., Otterman, V., Tjaden, L., Shephard, R., Apatu, E., Ruggiero, E. D., Musto, R., Pawa, J., Steinberg, M., & Betker, C. (2023) · Public health reviews · doi:10.3389/phrs.2023.1606110 · Cited by 9 · see citing works

The direct anterior approach in total hip arthroplasty: Publication trends of Asian countries on PubMed

Rhatomy, S., Rasyid, F. A., & Phatama, K. Y. (2020) · Annals of Medicine and Surgery · doi:10.1016/j.amsu.2020.06.001 · Cited by 9 · see citing works

Reporting quality of meta-analyses in acupuncture: Investigating adherence to the PRISMA statement

Chu, Q., Ma, H., Mandizadza, O. O., Xu, X., & Ji, C. (2024) · Medicine · doi:10.1097/md.0000000000039933 · Cited by 8 · see citing works

Ranking ‘by Relevance’ in Academic Literature Searches: Prevalence, Definitions, and Implications

Jordan, K., & Tsai, S. P. (2024) · Postdigital Science and Education · doi:10.1007/s42438-024-00530-z · Cited by 8 · see citing works

ARtPM: Article Retrieval for Precision Medicine

Milliken, L. K., Motomarry, S. K., & Kulkarni, A. (2019) · Journal of Biomedical Informatics · doi:10.1016/j.jbi.2019.103224 · Cited by 8 · see citing works

A relevance and quality-based ranking algorithm applied to evidence-based medicine

Serrano‐Guerrero, J., Romero, F. P., & Olivas, J. Á. (2020) · Computer Methods and Programs in Biomedicine · doi:10.1016/j.cmpb.2020.105415 · Cited by 8 · see citing works

Research note. Open letter to the users of the new PubMed: a critical appraisal

García‐Puente, M., Pastor-Ramón, E., Agirre, O., Morán, J. M., & Herrera‐Peco, I. (2020) · El Profesional de la Informacion · doi:10.3145/epi.2020.may.36 · Cited by 8 · see citing works

LitSense 2.0: AI-powered biomedical information retrieval with sentence and passage level knowledge discovery

Yeganova, L. E., Kim, W. B., Tian, S., Comeau, D. C., Wilbur, W. J., & Lu, Z. (2025) · Nucleic Acids Research · doi:10.1093/nar/gkaf417 · Cited by 7 · see citing works

A human-LLM collaborative annotation approach for screening articles on precision oncology randomized controlled trials

Chen, H., Zhao, J., Zheng, S., Zhang, X., Duan, H., & Lü, X. (2025) · BMC Medical Research Methodology · doi:10.1186/s12874-025-02674-3 · Cited by 7 · see citing works

Artificial INtelligence to Support Informed DEcision-making (INSIDE) for Improved Literature Analysis in Oncology

Stenzl, A., Armstrong, A. J., Sboner, A., Ghith, J., Serfass, L., Bland, C. S., Schijvenaars, B. J. A., & Sternberg, C. N. (2024) · European Urology Focus · doi:10.1016/j.euf.2024.05.022 · Cited by 7 · see citing works

MedGraph: A semantic biomedical information retrieval framework using knowledge graph embedding for PubMed

Ebeid, I. A. (2022) · Frontiers in Big Data · doi:10.3389/fdata.2022.965619 · Cited by 7 · see citing works

Creating enriched training sets of eligible studies for large systematic reviews: the utility of PubMed's Best Match algorithm

Sampson, M., Nama, N., O’Hearn, K., Murto, K., Nasr, A., Katz, S. L., Macartney, G. M., Momoli, F., & McNally, J. D. (2020) · International Journal of Technology Assessment in Health Care · doi:10.1017/s0266462320002159 · Cited by 7 · see citing works

Evaluating pretrained transformer models for citation recommendation

Nogueira, R. F., Jiang, Z., Cho, K., & Lin, J. (2020) · Cited by 6 · see citing works

BEEDS: Large-Scale Biomedical Event Extraction using Distant Supervision and Question Answering

Wang, X. D., Leser, U., & Weber, L. (2022) · Workshop on Biomedical Language Processing (BioNLP) · doi:10.18653/v1/2022.bionlp-1.28 · Cited by 6 · see citing works

PubMed Computed Authors in 2024: an open resource of disambiguated author names in biomedical literature

Tian, S., Chen, Q., Comeau, D. C., Wilbur, W. J., & Lu, Z. (2024) · Bioinformatics · doi:10.1093/bioinformatics/btae672 · Cited by 5 · see citing works

BibliZap: An exploratory evaluation of an automated multi-level citation searching tool for systematic and rapid reviews

Bentegeac, R., Guellec, B. L., Leblanc, V., Lenain, R., Dauchet, L., Gauthier, V., Gerard, E., Chazard, E., Amouyel, P., Aymes, E., et al. (2026) · Research Synthesis Methods · doi:10.1017/rsm.2026.10079 · Cited by 5 · see citing works

High-precision information retrieval for rapid clinical guideline updates

Borchert, F., Wullenweber, P., Oeser, A., Kreuzberger, N., Karge, T., Langer, T. G., Skoetz, N., Wieler, L. H., Schapranow, M.-P., & Bert Arnrich, A. (2025) · npj Digital Medicine · doi:10.1038/s41746-025-01648-5 · Cited by 5 · see citing works

MicroRNA childhood cancer catalog (M3Cs): a resource for translational bioinformatics toward health informatics in pediatric cancer

Rashed, W. M., Adel, F., Rezk, M. A., Basiouny, L., Rezk, A. A., & Abdel-Razek, A. H. (2022) · Database · doi:10.1093/database/baac013 · Cited by 5 · see citing works

Biomedical Text Mining: Biocuration and Literature Search Engines

Acharya, K. K., Sravanthi, D., Moushumi, G., Kitchlu, A., Bindurani, B., Manchigegowda, S. B., Akhilesh, B., & Divya, D. (2024) · Elsevier eBooks · doi:10.1016/b978-0-323-95502-7.00101-9 · Cited by 5 · see citing works

Inferring Drug–Gene Relationships in Cancer Using Literature-Augmented Large Language Models

Lai, Y.-J., Wang, L.-J., Yasaka, T. M., Shin, Y., Ning, M., Tan, Y., Shih, C.-H., Guo, Y., Chen, P.-Y., Galloway, H., et al. (2025) · Cancer Research Communications · doi:10.1158/2767-9764.crc-25-0030 · Cited by 4 · see citing works

Conversational Search

Trippas, J. R. (2024) · ACM eBooks · doi:10.1145/3674127.3674135 · Cited by 4 · see citing works

Time arrow in published clinical studies/trials indexed in MEDLINE: a systematic analysis of retrospective vs. prospective study design, from 1960 to 2017

Ciulla, M. M., & Vivona, P. (2019) · PeerJ · doi:10.7717/peerj.6363 · Cited by 4 · see citing works

Unbalanced Multistage Heat Conduction and Mass Diffusion Algorithm in an Educational Digital Library

Yin, P., Wang, G., Bhuiyan, M. Z. A., Shan, M., & Qi, F. (2019) · IEEE Access · doi:10.1109/access.2019.2946262 · Cited by 4 · see citing works

Knowledge-based framework for estimating the relevance of scientific articles

Fernández-Isabel, A., Barriuso, A. A., Cabezas, J., de Diego, I. M., & Pinheiro, J. F. J. V. (2020) · Expert Systems with Applications · doi:10.1016/j.eswa.2020.113692 · Cited by 4 · see citing works

History of Mastoidectomy: PubMed, Best Matches, Secondary References, and Inaccuracies

Mudry, A. C. (2020) · Otology & Neurotology · doi:10.1097/mao.0000000000002802 · Cited by 4 · see citing works

Measuring the relative importance of full text sections for information retrieval from scientific literature.

Yeganova, L. E., Kim, W. G., Comeau, D. C., Wilbur, W. J., & Lu, Z. (2021) · Workshop on Biomedical Language Processing (BioNLP) · doi:10.18653/v1/2021.bionlp-1.27 · Cited by 4 · see citing works

Designing Formulae for Ranking Search Results: Mixed Methods Evaluation Study

Douze, L., Sylvia Pelayo, A., Messaadi, N., Julien Grosjean, A., Kerdelhué, G., & Marcilly, R. (2022) · JMIR Human Factors · doi:10.2196/30258 · Cited by 4 · see citing works

Graph-Enriched Biomedical Entity Representation Transformer

Sakhovskiy, A., Semenova, N., Kadurin, A., & Tutubalina, E. V. (2023) · Lecture notes in computer science · doi:10.1007/978-3-031-42448-9_10 · Cited by 4 · see citing works

Automated verification, assembly, and extension of GBM stem cell network model with knowledge from literature and dataPreprint

Holtzapple, E., Cochran, B., & Miškov-Živanov, N. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.07.04.451062 · Cited by 4 · see citing works

A framework for integrating biomedical knowledge in Wikidata with open biological and biomedical ontologies and MeSH keywords

Turki, H., Chebil, K., Dossou, B. F. P., Emezue, C. C., Owodunni, A. T., Taieb, M. A. H., & Aouicha, M. B. (2024) · Heliyon · doi:10.1016/j.heliyon.2024.e38448 · Cited by 3 · see citing works

Causes of Irregular Expenditure in KwaZulu-Natal Municipalities: Perspectives of Councillors

Zungu, A., Sibanda, M., & Nomlala, B. C. (2025) · International Journal of Applied Research in Business and Management · doi:10.51137/wrp.ijarbm.2025.azcb.45697 · Cited by 3 · see citing works

Clear aligner therapy and its effectiveness in the management of overbite and inter-arch occlusal contact: A narrative review

Lim, Z. W., & Meade, M. J. (2025) · Seminars in Orthodontics · doi:10.1053/j.sodo.2025.04.002 · Cited by 3 · see citing works

Representation of Social Determinants of Health terminology in medical subject headings: impact of added terms

Suda-King, C., Winch, L., Tucker, J. M., Zuehlke, A. D., Hunter, C. M., & Simmons, J. M. (2024) · Journal of the American Medical Informatics Association · doi:10.1093/jamia/ocae191 · Cited by 3 · see citing works

Relation-aware deep neural network enables more efficient biomedical knowledge acquisition from massive literature

Song, C., Zeng, Z., Tian, C., Li, K., Yao, Y., Zheng, S., Liu, Z., & Sun, M. (2024) · AI Open · doi:10.1016/j.aiopen.2024.08.002 · Cited by 3 · see citing works

MeSH2Matrix: combining MeSH keywords and machine learning for biomedical relation classification based on PubMed

Turki, H., Dossou, B. F. P., Emezue, C. C., Owodunni, A. T., Taieb, M. A. H., Aouicha, M. B., Hassen, H. B., & Masmoudi, A. (2024) · Journal of Biomedical Semantics · doi:10.1186/s13326-024-00319-w · Cited by 3 · see citing works

A context-enhanced neural network model for biomedical event trigger detection

Wang, Z., Ren, Y., Peng, Q., & Ji, D. (2024) · Information Sciences · doi:10.1016/j.ins.2024.121625 · Cited by 3 · see citing works

New Relevance Search Algorithm for PubMed.

Fiorini, N., & Lu, Z. (2017) · AMIA

RefMed: Relevance Feedback Retrieval System for PubMed∗

Yu, H., Kim, T., Oh, J., Ko, I., & Kim, S. (2015)

Creating enriched training sets of eligible studies for large systematic reviews: the utility of PubMed's Best Match algorithm

Sampson, M., Nama, N., O’Hearn, K., Murto, K., Nasr, A., Katz, S. L., Macartney, G. M., Momoli, F., & McNally, J. D. (2020) · International Journal of Technology Assessment in Health Care · doi:10.1017/s0266462320002159 · Cited by 7 · see citing works

RefMed

Yu, H., Kim, T., Oh, J., Ko, I., & Kim, S. (2009) · ACM International Conference on Information and Knowledge Management (CIKM) · doi:10.1145/1645953.1646322 · Cited by 12 · see citing works

PubMed and the Best Match Algorithm

Salvesen, L. M. (2021) · Technical Services Quarterly · doi:10.1080/07317131.2021.1934340