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

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

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Variational Graph Auto-EncodersPreprint

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Learning Convolutional Neural Networks for GraphsPreprint

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Measuring Contextual Citation Impact of Scientific Journals

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Context-aware citation recommendation

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

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

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A Neural Probabilistic Model for Context Based Citation Recommendation

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Neural Citation Network for Context-Aware Citation Recommendation

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Predicting the citations of scholarly paper

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Context-Based Collaborative Filtering for Citation Recommendation

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Citation recommendation without author supervision

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A LSTM Based Model for Personalized Context-Aware Citation Recommendation

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A bibliometric and network analysis of the field of computational linguistics

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Inferring Dynamic User Interests in Streams of Short Texts for User Clustering

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Cross-language context-aware citation recommendation in scientific articles

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QuoteRec

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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

BERTScore: Evaluating Text Generation with BERT

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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 572 · see citing works

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 · see citing works

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

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

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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 90 · see citing works

Citation recommendation: approaches and datasets

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Citation recommendation: approaches and datasets

Färber, M., & Jatowt, A. (2020) · International Journal on Digital Libraries · doi:10.1007/s00799-020-00288-2 · Cited by 103 · see citing works

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 125 · see citing works

Neighborhood Contrastive Learning for Scientific Document Representations with Citation Embeddings

Ostendorff, M., Rethmeier, N., Augenstein, I., Gipp, B., & Rehm, G. (2022) · Conference on Empirical Methods in Natural Language Processing (EMNLP) · doi:10.18653/v1/2022.emnlp-main.802 · Cited by 78 · see citing works

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 70 · see citing works

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 · see citing works

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 · see citing works

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 54 · see citing works

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 53 · see citing works

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 · see citing works

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 · see citing works

Bert-Enhanced Text Graph Neural Network for Classification

Yang, Y., & Cui, X. (2021) · Entropy · doi:10.3390/e23111536 · Cited by 46 · see citing works

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 · see citing works

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 · see citing works

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 36 · see citing works

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 35 · see citing works

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 31 · see citing works

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 · see citing works

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 · see citing works

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 26 · see citing works

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 25 · see citing works

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 23 · see citing works

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 · see citing works

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 · see citing works

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 21 · see citing works

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 · see citing works

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 21 · see citing works

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 · see citing works

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 26 · see citing works

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 · see citing works

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 · see citing works

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 · see citing works

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 · see citing works

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 · see citing works

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

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

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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 14 · see citing works

A light heterogeneous graph collaborative filtering model using textual information

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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 · see citing works

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 · see citing works

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 · see citing works

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 12 · see citing works

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 · see citing works

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 · see citing works

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 12 · see citing works

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 · see citing works

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 · see citing works

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 10 · see citing works

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 10 · see citing works

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 · see citing works

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 36 · see citing works

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 9 · see citing works

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 · see citing works

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 · see citing works

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 · see citing works

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 · see citing works

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 · see citing works

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 · see citing works

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 · see citing works

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 · see citing works

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 · see citing works

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 9 · see citing works

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 · see citing works

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 · see citing works

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 · see citing works

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 · see citing works

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 9 · see citing works

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 · see citing works

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 7 · see citing works

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 · see citing works

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 · see citing works

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 · see citing works

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 6 · see citing works

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 8 · see citing works

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 5 · see citing works

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 · see citing works

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 · see citing works

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

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A novel NIH research grant recommender using BERT

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

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NeuSub: A Neural Submodular Approach for Citation Recommendation

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Deep Learning For Knowledge Graph Completion With XLNET

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Detecting and analyzing missing citations to published scientific entities

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Neuro-Symbolic Representations for Information Retrieval

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

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Supporting search engines with knowledge and context

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GORC: A large contextual citation graph of academic papersPreprint

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Heterogeneous hypergraph learning for literature retrieval based on citation intents

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

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Retrieving Webpages Using Online Discussions

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Deep Pre-Training Transformers for Scientific Paper Representation

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

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

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

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

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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

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

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