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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

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Showing 1-25 of 85 citing articles:

AMMU: A survey of transformer-based biomedical pretrained language models
Katikapalli Subramanyam Kalyan, Ajit Rajasekharan, S. Sangeetha
Journal of Biomedical Informatics (2021) Vol. 126, pp. 103982-103982
Open Access | Times Cited: 187
Pretrained Language Models for Biomedical and Clinical Tasks: Understanding and Extending the State-of-the-Art
Patrick Lewis, Myle Ott, Jingfei Du, et al.
(2020)
Open Access | Times Cited: 138
BioBART: Pretraining and Evaluation of A Biomedical Generative Language Model
Hongyi Yuan, Zheng Yuan, Ruyi Gan, et al.
(2022)
Open Access | Times Cited: 81
Scientific Large Language Models: A Survey on Biological & Chemical Domains
Qiang Zhang, Keyan Ding, Tingting Lv, et al.
ACM Computing Surveys (2025)
Closed Access | Times Cited: 2
COVID-19 Literature Knowledge Graph Construction and Drug Repurposing Report Generation
Qingyun Wang, Manling Li, Xuan Wang, et al.
(2021)
Open Access | Times Cited: 100
Deep learning methods for biomedical named entity recognition: a survey and qualitative comparison
Bosheng Song, Fen Li, Yuansheng Liu, et al.
Briefings in Bioinformatics (2021) Vol. 22, Iss. 6
Closed Access | Times Cited: 85
A Systematic Review of Transformer-Based Pre-Trained Language Models through Self-Supervised Learning
Evans Kotei, Ramkumar Thirunavukarasu
Information (2023) Vol. 14, Iss. 3, pp. 187-187
Open Access | Times Cited: 39
Clinical named entity recognition and relation extraction using natural language processing of medical free text: A systematic review
David Fraile Navarro, Kiran Ijaz, Dana Rezazadegan, et al.
International Journal of Medical Informatics (2023) Vol. 177, pp. 105122-105122
Open Access | Times Cited: 30
A Comparison of Pre-Trained Language Models for Multi-Class Text Classification in the Financial Domain
Yusuf Arslan, Kevin Allix, Lisa Veiber, et al.
Companion Proceedings of the The Web Conference 2018 (2021), pp. 260-268
Open Access | Times Cited: 48
MT-clinical BERT: scaling clinical information extraction with multitask learning
Andriy Mulyar, Özlem Uzuner, Bridget T. McInnes
Journal of the American Medical Informatics Association (2021) Vol. 28, Iss. 10, pp. 2108-2115
Open Access | Times Cited: 44
Benchmarking Multi-Task Learning for Sentiment Analysis and Offensive Language Identification in Under-Resourced Dravidian Languages
Adeep Hande, Siddhanth U Hegde, Ruba Priyadharshini, et al.
Research Square (Research Square) (2022)
Open Access | Times Cited: 31
Multi-task learning for few-shot biomedical relation extraction
Vincenzo Moscato, Giuseppe Napolano, Marco Postiglione, et al.
Artificial Intelligence Review (2023) Vol. 56, Iss. 11, pp. 13743-13763
Open Access | Times Cited: 19
BioREx: Improving biomedical relation extraction by leveraging heterogeneous datasets
Po‐Ting Lai, Chih-Hsuan Wei, Ling Luo, et al.
Journal of Biomedical Informatics (2023) Vol. 146, pp. 104487-104487
Open Access | Times Cited: 16
Transformer models in biomedicine
Sumit Madan, Manuel Lentzen, Johannes Brandt, et al.
BMC Medical Informatics and Decision Making (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 7
Utilizing large language models for gastroenterology research: a conceptual framework
Parul Berry, Rohan Raju Dhanakshirur, Sahil Khanna
Therapeutic Advances in Gastroenterology (2025) Vol. 18
Open Access
COVID-19 Literature Knowledge Graph Construction and Drug Repurposing Report Generation
Qingyun Wang, Manling Li, Xuan Wang, et al.
arXiv (Cornell University) (2020)
Open Access | Times Cited: 32
How Do Your Biomedical Named Entity Recognition Models Generalize to Novel Entities?
Hyunjae Kim, Jaewoo Kang
IEEE Access (2022) Vol. 10, pp. 31513-31523
Open Access | Times Cited: 20
A review on Natural Language Processing Models for COVID-19 research
Karl Hall, Victor Chang, Chrisina Jayne
Healthcare Analytics (2022) Vol. 2, pp. 100078-100078
Open Access | Times Cited: 20
Entity recognition from colloquial text
Tamara Babaian, Jennifer Xu
Decision Support Systems (2024) Vol. 179, pp. 114172-114172
Open Access | Times Cited: 4
A Multi-Task Approach for Improving Biomedical Named Entity Recognition by Incorporating Multi-Granularity information
Yiqi Tong, Yidong Chen, Xiaodong Shi
(2021), pp. 4804-4813
Open Access | Times Cited: 24
Deep learning to refine the identification of high-quality clinical research articles from the biomedical literature: Performance evaluation
Cynthia Lokker, Elham Bagheri, Wael Abdelkader, et al.
Journal of Biomedical Informatics (2023) Vol. 142, pp. 104384-104384
Open Access | Times Cited: 10
Identification of Semantically Similar Sentences in Clinical Notes: Iterative Intermediate Training Using Multi-Task Learning
Diwakar Mahajan, Ananya Poddar, Jennifer J. Liang, et al.
JMIR Medical Informatics (2020) Vol. 8, Iss. 11, pp. e22508-e22508
Open Access | Times Cited: 27
Better Few-Shot Relation Extraction with Label Prompt Dropout
Peiyuan Zhang, Wei Lü
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2022), pp. 6996-7006
Open Access | Times Cited: 15
“Transforming” Personality Scale Development: Illustrating the Potential of State-of-the-Art Natural Language Processing
Shea Fyffe, Philseok Lee, Seth A. Kaplan
Organizational Research Methods (2023) Vol. 27, Iss. 2, pp. 265-300
Closed Access | Times Cited: 8
Applying Natural Language Processing to Textual Data From Clinical Data Warehouses: Systematic Review
Adrien Bazoge, Emmanuel Morin, Béatrice Daille, et al.
JMIR Medical Informatics (2023) Vol. 11, pp. e42477-e42477
Open Access | Times Cited: 7
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