A context-aware citation recommendation model with BERT and graph convolutional networks

BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Devlin, J., Chang, M.-W., Lee, K., & Toutanova, K. (2018) · arXiv · doi:10.48550/arxiv.1810.04805 · Cited by 73,173

BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Devlin, J., Chang, M.-W., Lee, K., & Toutanova, K. (2019) · Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers) · doi:10.18653/v1/n19-1423 · Cited by 54,325

Variational Graph Auto-EncodersPreprint

Kipf, T., & Welling, M. (2016) · arXiv (Cornell University) · doi:10.48550/arxiv.1611.07308 · Cited by 4,300

Learning Convolutional Neural Networks for GraphsPreprint

Niepert, M., Ahmed, M., & Kutzkov, K. (2016) · International Conference on Machine Learning · doi:10.48550/arxiv.1605.05273 · Cited by 2,315

Measuring Contextual Citation Impact of Scientific Journals

Moed, H. F. (2010) · Journal of Informetrics · doi:10.1016/j.joi.2010.01.002 · Cited by 628

Context-aware citation recommendation

He, Q., Pei, J., Kifer, D., Mitra, P., & Giles, C. L. (2010) · International World Wide Web Conference (WWW) · doi:10.1145/1772690.1772734 · Cited by 371

A Dataset of Peer Reviews (PeerRead): Collection, Insights and NLP Applications

Kang, D., Ammar, W., Dalvi, B., Zuylen, M., Kohlmeier, S., Hovy, E., & Schwartz, R. (2018) · Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers) · doi:10.18653/v1/n18-1149 · Cited by 270

The ACL anthology network corpus

Radev, D., Muthukrishnan, P., Qazvinian, V., & Abu-Jbara, A. (2013) · Language Resources and Evaluation · doi:10.1007/s10579-012-9211-2 · Cited by 252

A scientometric review of emerging trends and new developments in recommendation systems

Kim, M. C., & Chen, C. (2015) · Scientometrics · doi:10.1007/s11192-015-1595-5 · Cited by 182

A Neural Probabilistic Model for Context Based Citation Recommendation

Huang, W., Wu, Z., Liang, C., Mitra, P., & Giles, C. L. (2015) · Proceedings of the AAAI Conference on Artificial Intelligence · doi:10.1609/aaai.v29i1.9528 · Cited by 161

BERTScore: Evaluating Text Generation with BERT

Zhang, T., Kishore, V., Wu, F., Weinberger, K. Q., & Artzi, Y. (2019) · arXiv · doi:10.48550/arxiv.1904.09675 · Cited by 2,865

SPECTER: Document-level Representation Learning using Citation-informed Transformers

Cohan, A., Feldman, S., Beltagy, I., Downey, D., & Weld, D. S. (2020) · Proceedings of the conference - Association for Computational Linguistics. Meeting · doi:10.18653/v1/2020.acl-main.207 · Cited by 769

S2ORC: The Semantic Scholar Open Research Corpus

Lo, K., Wang, L. L., Neumann, M., Kinney, R., & Weld, D. (2020) · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics · doi:10.18653/v1/2020.acl-main.447 · Cited by 457

Covid-19 classification by FGCNet with deep feature fusion from graph convolutional network and convolutional neural network

Wang‎, S., Govindaraj, V., Górriz, J. M., Zhang, X., & Zhang, Y. (2020) · Information Fusion · doi:10.1016/j.inffus.2020.10.004 · Cited by 353

VGCN-BERT: Augmenting BERT with Graph Embedding for Text Classification

Lu, Z., Du, P., & Nie, J. (2020) · Lecture notes in computer science · doi:10.1007/978-3-030-45439-5_25 · Cited by 162

Deep learning in citation recommendation models survey

Ali, Z., Kefalas, P., Muhammad, K., Ali, B., & Imran, M. (2020) · Expert Systems with Applications · doi:10.1016/j.eswa.2020.113790 · Cited by 92

Citation recommendation: approaches and datasets

Färber, M., & Jatowt, A. (2020) · Repository KITopen (Karlsruhe Institute of Technology) · doi:10.5445/ir/1000123311 · Cited by 88

Citation recommendation: approaches and datasets

Färber, M., & Jatowt, A. (2020) · International Journal on Digital Libraries · doi:10.1007/s00799-020-00288-2 · Cited by 117

A comprehensive review of recommender systems: Transitioning from theory to practice

Raza, S., Rahman, M., Kamawal, S., Toroghi, A., Raval, A., Navah, F., & Kazemeini, A. (2025) · Computer Science Review · doi:10.1016/j.cosrev.2025.100849 · Cited by 159

Neighborhood Contrastive Learning for Scientific Document Representations with Citation Embeddings

Ostendorff, M., Rethmeier, N., Augenstein, I., Gipp, B., & Rehm, G. (2022) · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing · doi:10.18653/v1/2022.emnlp-main.802 · Cited by 56

Incorporating medical knowledge in BERT for clinical relation extraction

Roy, A., & Pan, S. (2021) · Conference on Empirical Methods in Natural Language Processing (EMNLP) · doi:10.18653/v1/2021.emnlp-main.435 · Cited by 78

Citation Intent Classification Using Word Embedding

Roman, M., Shahid, A., Khan, S., Koubâa, A., & Yu, L. (2021) · IEEE Access · doi:10.1109/access.2021.3050547 · Cited by 59

Context-Aware Recommendation Systems in the IoT Environment (IoT-CARS)–A Comprehensive Overview

Nawara, D., & Kashef, R. F. (2021) · IEEE Access · doi:10.1109/access.2021.3122098 · Cited by 55

Semantic and explainable research-related recommendation system based on semi-supervised methodology using BERT and LDA models

Yang, N., Jo, J., Jeon, M. J., Kim, W., & Kang, J. (2021) · Expert Systems with Applications · doi:10.1016/j.eswa.2021.116209 · Cited by 57

Deep learning for patent landscaping using transformer and graph embedding

Choi, S., Lee, H., Park, E., & Choi, S. (2021) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2021.121413 · Cited by 56

Citation recommendation using semantic representation of cited papers’ relations and content

Zhang, J., & Zhu, L. (2021) · Expert Systems with Applications · doi:10.1016/j.eswa.2021.115826 · Cited by 43

Towards more robust hate speech detection: using social context and user data

Nagar, S., Barbhuiya, F. A., & Dey, K. (2023) · Social Network Analysis and Mining · doi:10.1007/s13278-023-01051-6 · Cited by 42

Bert-Enhanced Text Graph Neural Network for Classification

Yang, Y., & Cui, X. (2021) · Entropy · doi:10.3390/e23111536 · Cited by 51

An overview and evaluation of citation recommendation models

Ali, Z., Ullah, I., Khan, A. U., Jan, A. U., & Muhammad, K. (2021) · Scientometrics · doi:10.1007/s11192-021-03909-y · Cited by 37

Exploring science-technology linkages: A deep learning-empowered solution

Chen, X., Ye, P., Huang, L., Wang, C., Cai, Y., Deng, L., & Ren, H. (2022) · Information Processing & Management · doi:10.1016/j.ipm.2022.103255 · Cited by 40

Enhancing citation recommendation using citation network embedding

Pornprasit, C., Liu, X., Kiattipadungkul, P., Kertkeidkachorn, N., Kim, K., Noraset, T., Hassan, S., & Tuarob, S. (2022) · Scientometrics · doi:10.1007/s11192-021-04196-3 · Cited by 35

Graph Neural Networks: A bibliometrics overview

Keramatfar, A., Rafiee, M., & Amirkhani, H. (2022) · Machine Learning with Applications · doi:10.1016/j.mlwa.2022.100401 · Cited by 39

Semantic and relational spaces in science of science: deep learning models for article vectorisation

Kozlowski, D., Dusdal, J., Pang, J., & Zilian, A. (2021) · Scientometrics · doi:10.1007/s11192-021-03984-1 · Cited by 37

Local Citation Recommendation with Hierarchical-Attention Text Encoder and SciBERT-Based Reranking

Gu, N., Gao, Y., & Hahnloser, R. H. R. (2022) · Lecture notes in computer science · doi:10.1007/978-3-030-99736-6_19 · Cited by 28

A two-stage deep learning-based system for patent citation recommendation

Choi, J., Lee, J., Yoon, J., Jang, S., Kim, J., & Choi, S. (2022) · Scientometrics · doi:10.1007/s11192-022-04301-0 · Cited by 28

TRP-BERT: Discrimination of transient receptor potential (TRP) channels using contextual representations from deep bidirectional transformer based on BERT

Shah, S. M. A., & Ou, Y. (2021) · Computers in Biology and Medicine · doi:10.1016/j.compbiomed.2021.104821 · Cited by 25

An anatomization of research paper recommender system: Overview, approaches and challenges

Sharma, R., Gopalani, D., & Meena, Y. K. (2022) · Engineering Applications of Artificial Intelligence · doi:10.1016/j.engappai.2022.105641 · Cited by 28

Heterogeneous deep graph convolutional network with citation relational BERT for COVID-19 inline citation recommendation

Dai, T., Zhao, J., Li, D., Tian, S., Zhao, X., & Pan, S. (2022) · Expert Systems with Applications · doi:10.1016/j.eswa.2022.118841 · Cited by 25

Graph-Convolved Factorization Machines for Personalized Recommendation

Zheng, Y., Wei, P., Chen, Z., Cao, Y., & Lin, L. (2021) · IEEE Transactions on Knowledge and Data Engineering · doi:10.1109/tkde.2021.3100564 · Cited by 22

A Systematic Survey of Graph Convolutional Networks for Artificial Intelligence Applications

Sadasivan, A., Gananathan, K., Dhanith, P. R. J., & Surendiran, B. (2025) · Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery · doi:10.1002/widm.70012 · Cited by 21

A scientific citation recommendation model integrating network and text representations

Qiu, T., Yu, C., Zhong, Y., An, L., & Li, G. (2021) · Scientometrics · doi:10.1007/s11192-021-04161-0 · Cited by 22

Identification of topic evolution: network analytics with piecewise linear representation and word embedding

Huang, L., Chen, X., Zhang, Y., Wang, C., Cao, X., & Liu, J. (2022) · Scientometrics · doi:10.1007/s11192-022-04273-1 · Cited by 21

Research on semantic representation and citation recommendation of scientific papers with multiple semantics fusion

Lu, Y., Yuan, M., Liu, J., & Chen, M. (2023) · Scientometrics · doi:10.1007/s11192-022-04566-5 · Cited by 27

Research paper recommender system based on public contextual metadata

Haruna, K., Ismail, M. A., Qazi, A., Kakudi, H. A., Hassan, M., Muaz, S. A., & Chiroma, H. (2020) · Scientometrics · doi:10.1007/s11192-020-03642-y · Cited by 20

A Review of State of the Art Deep Learning Models for Ontology Construction

Zengeya, T., & Fonou-Dombeu, J. V. (2024) · IEEE Access · doi:10.1109/access.2024.3406426 · Cited by 29

Global-local neighborhood based network representation for citation recommendation

Cai, X., Wang, N., Yang, L., & Mei, X. (2022) · Applied Intelligence · doi:10.1007/s10489-021-02964-5 · Cited by 18

GraphCite: Citation Intent Classification in Scientific Publications via Graph Embeddings

Berrebbi, D., Huynh, N., & Balalau, O. (2022) · International World Wide Web Conference (WWW) · doi:10.1145/3487553.3524657 · Cited by 18

A deep multi-embedding model for mobile application recommendation

Liu, Y., Chen, Y., & Chang, P.-Y. (2023) · Decision Support Systems · doi:10.1016/j.dss.2023.114011 · Cited by 19

Enhancing local citation recommendation with recurrent highway networks and SciBERT-based embedding

Dinh, T. N., Pham, P., Giang, N. L., & Vo, B. (2023) · Expert Systems with Applications · doi:10.1016/j.eswa.2023.122911 · Cited by 19

Graph Neural Networks: a bibliometrics overviewPreprint

Keramatfar, A., Rafiee, M., & Amirkhani, H. (2022) · Research Square · doi:10.21203/rs.3.rs-1639305/v1 · Cited by 16

A personalized paper recommendation method based on knowledge graph and transformer encoder with a self-attention mechanism

Gao, L., Lan, Y., Yu, Z. T., & Zhu, J. (2023) · Applied Intelligence · doi:10.1007/s10489-023-05108-z · Cited by 15

A deep learning approach for context-aware citation recommendation using rhetorical zone classification and similarity to overcome cold-start problem

Abbas, M. A., Ajayi, S. O., Bilal, M., Oyegoke, A. S., Pasha, M., & Ali, H. T. (2022) · Journal of Ambient Intelligence and Humanized Computing · doi:10.1007/s12652-022-03899-6 · Cited by 14

Gated relational stacked denoising autoencoder with localized author embedding for global citation recommendation

Dai, T., Yan, W., Zhang, K., Chen, Q., Zhao, X., & Pan, S. (2021) · Expert Systems with Applications · doi:10.1016/j.eswa.2021.115359 · Cited by 15

A light heterogeneous graph collaborative filtering model using textual information

Wang, C., Guo, Z., Li, G., Li, J., Pan, P., & Liu, K. (2021) · Knowledge-Based Systems · doi:10.1016/j.knosys.2021.107602 · Cited by 15

Mutually reinforced network embedding: An integrated approach to research paper recommendation

Mei, X., Cai, X., Xu, S., Li, W., Pan, S., & Yang, L. (2022) · Expert Systems with Applications · doi:10.1016/j.eswa.2022.117616 · Cited by 13

Automated citation recommendation tools encourage questionable citations

Horbach, S. P. J. M., Maatman, F. O., Halffman, W., & Hepkema, W. M. (2022) · Research Evaluation · doi:10.1093/reseval/rvac016 · Cited by 13

LitSearch: A Retrieval Benchmark for Scientific Literature Search

Ajith, A., Xia, M., Chevalier, A., Goyal, T., Chen, D., & Gao, T. (2024) · arXiv · doi:10.48550/arxiv.2407.18940 · Cited by 13

Citation recommendation based on argumentative zoning of user queries

Ma, S.-T., Zhang, C.-Z., Zhang, H., & Gao, Z. (2025) · J. Informetrics · doi:10.1016/j.joi.2024.101607 · Cited by 15

Context-aware citation recommendation of scientific papers: comparative study, gaps and trends

Jebari, C., Herrera‐Viedma, E., & Cobo, M. J. (2023) · Scientometrics · doi:10.1007/s11192-023-04773-8 · Cited by 16

A Hybrid Citation Recommendation Model With SciBERT and GraphSAGE

Dinh, T. N., Pham, P., Giang, N. L., Nguyên, N. T., & Vo, B. (2024) · IEEE Transactions on Systems Man and Cybernetics Systems · doi:10.1109/tsmc.2024.3490774 · Cited by 13

ActTRANS: Functional classification in active transport proteins based on transfer learning and contextual representations

Taju, S. W., Shah, S. M. A., & Ou, Y. (2021) · Computational Biology and Chemistry · doi:10.1016/j.compbiolchem.2021.107537 · Cited by 11

Contrastive Learning for User Sequence Representation in Personalized Product Search

Dai, S., Liu, J., Dou, Z., Haonan, W., Liu, L., Long, B., & Wen, J.-R. (2023) · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · doi:10.1145/3580305.3599287 · Cited by 15

Domain-Specific Contextualized Embedding: A Systematic Literature Review

Yunianto, I., Permanasari, A. E., & Widyawan, W. (2020) · doi:10.1109/icitee49829.2020.9271752 · Cited by 12

Global Citation Recommendation employing Multi-view Heterogeneous Network Embedding

Ali, Z., Qi, G., Muhammad, K., Khalil, A., Ullah, I., & Khan, A. U. (2021) · Conference on Information Sciences and Systems · doi:10.1109/ciss50987.2021.9400311 · Cited by 11

GraphConfRec: A Graph Neural Network-Based Conference Recommender System

Iana, A., & Paulheim, H. (2021) · ACM/IEEE Joint Conference on Digital Libraries · doi:10.1109/jcdl52503.2021.00021 · Cited by 12

A Scientific Paper Recommendation Framework Based on Multi-Topic Communities and Modified PageRank

Hadhiatma, A., Azhari, A., & Suyanto, Y. (2023) · IEEE Access · doi:10.1109/access.2023.3251189 · Cited by 14

UMLS-KGI-BERT: Data-Centric Knowledge Integration in Transformers for Biomedical Entity Recognition

Mannion, A., Schwab, D., & Goeuriot, L. (2023) · Clinical Natural Language Processing Workshop (ClinicalNLP) · doi:10.18653/v1/2023.clinicalnlp-1.35 · Cited by 10

S2ORC: The Semantic Scholar Open Research CorpusPreprint

Lo, K., Wang, L. L., Neumann, M., Kinney, R., & Weld, D. S. (2019) · arXiv (Cornell University) · doi:10.48550/arxiv.1911.02782 · Cited by 115

A fast local citation recommendation algorithm scalable to multi-topics

Yin, M. J., Wang, B., & Ling, C. X. (2023) · Expert Systems with Applications · doi:10.1016/j.eswa.2023.122031 · Cited by 10

Assisting researchers in bibliographic tasks: A new usable, real‐time tool for analyzing bibliographies

Dattolo, A., & Corbatto, M. (2021) · Journal of the Association for Information Science and Technology · doi:10.1002/asi.24578 · Cited by 12

Searching for Legal Documents at Paragraph Level: Automating Label Generation and Use of an Extended Attention Mask for Boosting Neural Models of Semantic Similarity

Tang, L., & Clematide, S. (2021) · Natural Legal Language Processing Workshop (NLLP) · doi:10.18653/v1/2021.nllp-1.12 · Cited by 9

Leveraging full-text article exploration for citation analysis

Quatra, M. L., Cagliero, L., & Baralis, E. (2021) · Scientometrics · doi:10.1007/s11192-021-04117-4 · Cited by 9

PSRMTE: Paper submission recommendation using mixtures of transformer

Nguyen, D. H., Huynh, S. T., Dinh, C. V., Huynh, P. T., & Nguyen, B. T. (2022) · Expert Systems with Applications · doi:10.1016/j.eswa.2022.117096 · Cited by 8

Part-of-speech- and syntactic-aware graph convolutional network for aspect-level sentiment classification

Tian, Y., Yue, R., Wang, D., Liu, J., & Xiao, L. (2023) · Multimedia Tools and Applications · doi:10.1007/s11042-023-16671-5 · Cited by 8

Graph Convolutional Flocking Control for Unmanned Aerial Vehicles With Packet Dropouts

Chen, S., Kang, Y., Di, J., & Cao, Y. H. (2024) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2024.3370972 · Cited by 8

Finding the reference text in citation contexts using attention model

Khan, D., Ahmed, I., Ullah, I., & Alwabli, A. (2024) · Service Oriented Computing and Applications · doi:10.1007/s11761-024-00410-1 · Cited by 8

Context-Based Quotation Recommendation

MacLaughlin, A., Чен, Т., Ayan, B. K., & Roth, D. (2021) · Proceedings of the International AAAI Conference on Web and Social Media · doi:10.1609/icwsm.v15i1.18070 · Cited by 9

A New Citation Recommendation Strategy Based on Term Functions in Related Studies Section

Chen, H. (2021) · Journal of Data and Information Science · doi:10.2478/jdis-2021-0022 · Cited by 8

An empirical study of the design choices for local citation recommendation systems

Medić, Z., & Šnajder, J. (2022) · Expert Systems with Applications · doi:10.1016/j.eswa.2022.116852 · Cited by 10

Semantic Modelling of Citation Contexts for Context-Aware Citation Recommendation

Saier, T., & Färber, M. (2020) · Lecture notes in computer science · doi:10.1007/978-3-030-45439-5_15 · Cited by 8

Fake News Detection using Semi-Supervised Graph Convolutional NetworkPreprint

Meel, P., & Vishwakarma, D. K. (2021) · arXiv (Cornell University) · doi:10.48550/arxiv.2109.13476 · Cited by 13

Nudging Toward Responsible Recommendations: A Graph-Based Approach to Mitigate Belief Filter Bubbles

Wang, M., Hu, Y., Wu, S., Li, W., Bai, Q., Yuan, Z., & Jiang, C. (2024) · IEEE Transactions on Artificial Intelligence · doi:10.1109/tai.2024.3373392 · Cited by 10

Researcher influence prediction (ResIP) using academic genealogy network

Kumar, D., Bhowmick, P. K., & Paik, J. H. (2023) · Journal of Informetrics · doi:10.1016/j.joi.2023.101392 · Cited by 7

Scientific document processing: challenges for modern learning methods

Kashyap, A. R., Yang, Y., & Kan, M. (2023) · International Journal on Digital Libraries · doi:10.1007/s00799-023-00352-7 · Cited by 13

RAR-SB: research article recommendation using SciBERT with BiGRU

Thierry, N., Bao, B., & Ali, Z. (2023) · Scientometrics · doi:10.1007/s11192-023-04840-0 · Cited by 7

Enhancing emerging technology discovery in nanomedicine by integrating innovative sentences using BERT and NLDA

Wang, Y., Liu, X., & Zhu, X.-L. (2024) · Journal of Data and Information Science · doi:10.2478/jdis-2024-0031 · Cited by 8

Neighborhood structure enhancement and denoising method for multi-behavior recommendation

Cai, W., Zheng, Z., Zhang, X., Shang, W., Ma, Y., Gao, W., & Jin, Z. G. (2025) · Neural Networks · doi:10.1016/j.neunet.2025.107760 · Cited by 7

News Article Retrieval in Context for Event-centric Narrative Creation

Voskarides, N., Meij, E., Sauer, S., & de Rijke, M. (2021) · ACM SIGIR International Conference on Theory of Information Retrieval (ICTIR) · doi:10.1145/3471158.3472247 · Cited by 7

PRM-KGED: paper recommender model using knowledge graph embedding and deep neural network

Thierry, N., Bao, B., Ali, Z., Tan, Z., Chatelain, I. B. C., & Kefalas, P. (2023) · Applied Intelligence · doi:10.1007/s10489-023-05162-7 · Cited by 7

Industrial Chain Disruption Events Monitoring with Deep Learning Methods: A Practical Application in China

Tang, H., Yuan, Y., & Gong, T. (2023) · International Journal of Intelligent Systems · doi:10.1155/2023/3338184 · Cited by 7

Predicting the emergence of disruptive technologies by comparing with references via soft prompt-aware shared BERT

He, G., Lin, C., Ren, J., & Duan, P. (2024) · Journal of Informetrics · doi:10.1016/j.joi.2024.101596 · Cited by 9

Emati: a recommender system for biomedical literature based on supervised learning

Kart, Ö., Mestiashvili, A., Lachmann, K., Kwasnicki, R., & Schroeder, M. (2022) · Database · doi:10.1093/database/baac104 · Cited by 8

Graph based fuzzy clustering algorithm for crime report labelling

Pramanik, A., Das, A. K., & Ding, W. (2023) · Applied Soft Computing · doi:10.1016/j.asoc.2023.110261 · Cited by 6

Graph Enhanced BERT for Query Understanding

Li, J., Zeng, W., Cheng, S., Ma, Y., Tang, J., Wang, S., & Yin, D. (2023) · International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · doi:10.1145/3539618.3591845 · Cited by 6

Investigating Maps of Science Using Contextual Proximity of Citations Based on Deep Contextualized Word Representation

Roman, M., Shahid, A., Khan, S., Yu, L., Asif, M., & Ghadi, Y. Y. (2022) · IEEE Access · doi:10.1109/access.2022.3159980 · Cited by 7

A novel NIH research grant recommender using BERT

Zhu, J., Patra, B. G., Wu, H., & Yaseen, A. S. (2023) · PLoS ONE · doi:10.1371/journal.pone.0278636 · Cited by 8

NEM-GNN: DAC/ADC-less, Scalable, Reconfigurable, Graph and Sparsity-Aware Near-Memory Accelerator for Graph Neural Networks

Raman, S. R. S., John, L. K., & Kulkarni, J. P. (2024) · ACM Transactions on Architecture and Code Optimization · doi:10.1145/3652607 · Cited by 5

NeuSub: A Neural Submodular Approach for Citation Recommendation

Kieu, B. T., Unanue, I. J., Pham, S. B., Phan, X.-H., & Piccardi, M. (2021) · IEEE Access · doi:10.1109/access.2021.3120727 · Cited by 5

Deep Learning For Knowledge Graph Completion With XLNET

Su, M., Su, H.-Y., Zheng, H., & Yan, B. (2021) · International Conference on Deep Learning Technologies (ICDLT) · doi:10.1145/3480001.3480022 · Cited by 5

Detecting and analyzing missing citations to published scientific entities

Lin, J., Yao, Y., Song, J., & Shi, X. (2022) · Scientometrics · doi:10.1007/s11192-022-04334-5 · Cited by 8

Neuro-Symbolic Representations for Information Retrieval

Dietz, L., Bast, H., Chatterjee, S., Dalton, J., Nie, J., & Nogueira, R. F. (2023) · International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · doi:10.1145/3539618.3594246 · Cited by 5

Exploiting Labeled and Unlabeled Data via Transformer Fine-tuning for Peer-Review Score Prediction

Muangkammuen, P., Fukumoto, F., Li, J., & Suzuki, Y. (2022) · Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP) · doi:10.18653/v1/2022.findings-emnlp.164 · Cited by 5

Supporting search engines with knowledge and context

Voskarides, N. (2021) · ACM SIGIR Forum · doi:10.1145/3527546.3527573 · Cited by 5

GORC: A large contextual citation graph of academic papersPreprint

Lo, K., Wang, L. L., Neumann, M. E., Kinney, R., & Weld, D. S. (2019) · arXiv (Cornell University) · Cited by 5

Heterogeneous hypergraph learning for literature retrieval based on citation intents

Shi, K., Liu, K., & He, X. (2024) · Scientometrics · doi:10.1007/s11192-024-05066-4 · Cited by 5

MedNote BERT: Modeling Medical Notes and Predicting Drug-Disease Interactions

Mishra, P., & Sharma, S. (2024) · International Conference on Decision Aid Sciences and Applications (DASA) · doi:10.1109/dasa63652.2024.10836617 · Cited by 4

Retrieving Webpages Using Online Discussions

Ros, K., Jin, M., Levine, J., & Zhai, C. (2023) · ACM SIGIR International Conference on Theory of Information Retrieval (ICTIR) · doi:10.1145/3578337.3605139 · Cited by 4

Deep Pre-Training Transformers for Scientific Paper Representation

Wang, J., Yang, Z., & Cheng, Z. (2024) · Electronics · doi:10.3390/electronics13112123 · Cited by 5

Identification of efflux proteins based on contextual representations with deep bidirectional transformer encoders

Taju, S. W., Shah, S. M. A., & Ou, Y. (2021) · Analytical Biochemistry · doi:10.1016/j.ab.2021.114416 · Cited by 4

SentCite: a sentence-level citation recommender based on the salient similarity among multiple segments

Wang, H., Cheng, J., & Yang, C.-T. (2022) · Scientometrics · doi:10.1007/s11192-022-04339-0 · Cited by 4

CRM-RMS: context-aware citation recommender model using recurrent reasoning memory network over SPECTER

Chatelain, I. B. C., Su, P., & Thierry, N. (2026) · Scientometrics · doi:10.1007/s11192-026-05755-2

Enhanced context-aware citation recommendation with auxiliary textual information based on an auto-encoding mechanism

Dinh, T. N., Pham, P., Giang, N. L., & Vo, B. (2023) · Applied Intelligence · doi:10.1007/s10489-022-04423-1 · Cited by 13

Context-Aware Graph Neural Citation Recommendation Integrating Hierarchical Scholarly Semantics

Harasim, Z., Janczak, F., & Gola, N. (2025) · Journal of Intelligent Information and Communication · doi:10.64972/jiic.2025v3.220p7s:83-96

A Hybrid Citation Recommendation Model With SciBERT and GraphSAGE

Dinh, T. N., Pham, P., Giang, N. L., Nguyên, N. T., & Vo, B. (2024) · IEEE Transactions on Systems Man and Cybernetics Systems · doi:10.1109/tsmc.2024.3490774 · Cited by 13

Enhancing local citation recommendation with recurrent highway networks and SciBERT-based embedding

Dinh, T. N., Pham, P., Giang, N. L., & Vo, B. (2023) · Expert Systems with Applications · doi:10.1016/j.eswa.2023.122911 · Cited by 19