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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.

Requested Article:

Deep learning in clinical natural language processing: a methodical review
Stephen Wu, Kirk Roberts, Surabhi Datta, et al.
Journal of the American Medical Informatics Association (2019) Vol. 27, Iss. 3, pp. 457-470
Open Access | Times Cited: 390

Showing 1-25 of 390 citing articles:

Using machine learning approaches for multi-omics data analysis: A review
Parminder Singh Reel, Smarti Reel, Ewan R. Pearson, et al.
Biotechnology Advances (2021) Vol. 49, pp. 107739-107739
Open Access | Times Cited: 520
Large language models are few-shot clinical information extractors
Monica Agrawal, Stefan Hegselmann, Hunter Lang, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2022)
Open Access | Times Cited: 176
Natural Language Processing Advancements By Deep Learning: A Survey
Amirsina Torfi, Rouzbeh A. Shirvani, Yaser Keneshloo, et al.
arXiv (Cornell University) (2020)
Open Access | Times Cited: 171
Natural Language Processing in Electronic Health Records in relation to healthcare decision-making: A systematic review
Elias Hossain, Rajib Rana, Niall Higgins, et al.
Computers in Biology and Medicine (2023) Vol. 155, pp. 106649-106649
Open Access | Times Cited: 170
A systematic review of natural language processing applied to radiology reports
Arlene Casey, Emma Davidson, Michael T. C. Poon, et al.
BMC Medical Informatics and Decision Making (2021) Vol. 21, Iss. 1
Open Access | Times Cited: 151
Natural language processing for smart construction: Current status and future directions
Chengke Wu, Xiao Li, Yuanjun Guo, et al.
Automation in Construction (2021) Vol. 134, pp. 104059-104059
Closed Access | Times Cited: 133
Neural Natural Language Processing for unstructured data in electronic health records: A review
Irene Li, Jessica Pan, Jeremy Goldwasser, et al.
Computer Science Review (2022) Vol. 46, pp. 100511-100511
Open Access | Times Cited: 125
Med7: A transferable clinical natural language processing model for electronic health records
Andrey Kormilitzin, Nemanja Vaci, Qiang Liu, et al.
Artificial Intelligence in Medicine (2021) Vol. 118, pp. 102086-102086
Open Access | Times Cited: 122
Limitations of Transformers on Clinical Text Classification
Shang Gao, Mohammed Alawad, M. Todd Young, et al.
IEEE Journal of Biomedical and Health Informatics (2021) Vol. 25, Iss. 9, pp. 3596-3607
Open Access | Times Cited: 111
Pre-trained Language Models in Biomedical Domain: A Systematic Survey
Benyou Wang, Qianqian Xie, Jiahuan Pei, et al.
ACM Computing Surveys (2023) Vol. 56, Iss. 3, pp. 1-52
Open Access | Times Cited: 86
Artificial intelligence for modelling infectious disease epidemics
Moritz U. G. Kraemer, Joseph L.-H. Tsui, Serina Chang, et al.
Nature (2025) Vol. 638, Iss. 8051, pp. 623-635
Closed Access | Times Cited: 5
Clinical concept extraction: A methodology review
Sunyang Fu, David Chen, Huan He, et al.
Journal of Biomedical Informatics (2020) Vol. 109, pp. 103526-103526
Open Access | Times Cited: 132
Clinical concept extraction using transformers
Xi Yang, Jiang Bian, William R. Hogan, et al.
Journal of the American Medical Informatics Association (2020) Vol. 27, Iss. 12, pp. 1935-1942
Open Access | Times Cited: 131
Using deep learning and visual analytics to explore hotel reviews and responses
Yung‐Chun Chang, Chih‐Hao Ku, Chien‐Hung Chen
Tourism Management (2020) Vol. 80, pp. 104129-104129
Closed Access | Times Cited: 91
Machine learning in haematological malignancies
Nathan Radakovich, Matthew Nagy, Aziz Nazha
The Lancet Haematology (2020) Vol. 7, Iss. 7, pp. e541-e550
Closed Access | Times Cited: 91
The adoption of deep neural network (DNN) to the prediction of soil liquefaction based on shear wave velocity
Yonggang Zhang, Yuanlun Xie, Yan Zhang, et al.
Bulletin of Engineering Geology and the Environment (2021) Vol. 80, Iss. 6, pp. 5053-5060
Closed Access | Times Cited: 88
Machine learning and natural language processing methods to identify ischemic stroke, acuity and location from radiology reports
Charlene Ong, Agni Orfanoudaki, Rebecca Zhang, et al.
PLoS ONE (2020) Vol. 15, Iss. 6, pp. e0234908-e0234908
Open Access | Times Cited: 87
Deep learning in electron microscopy
Jeffrey M. Ede
Machine Learning Science and Technology (2020) Vol. 2, Iss. 1, pp. 011004-011004
Open Access | Times Cited: 84
Machine learning for modeling the progression of Alzheimer disease dementia using clinical data: a systematic literature review
Sayantan Kumar, Inez Y. Oh, Suzanne E. Schindler, et al.
JAMIA Open (2021) Vol. 4, Iss. 3
Open Access | Times Cited: 84
AI applications in functional genomics
Claudia Caudai, Antonella Galizia, Filippo Geraci, et al.
Computational and Structural Biotechnology Journal (2021) Vol. 19, pp. 5762-5790
Open Access | Times Cited: 80
Artificial intelligence and machine learning in emergency medicine: a narrative review
Brianna Mueller, Takahiro Kinoshita, Alexander T. Peebles, et al.
Acute Medicine & Surgery (2022) Vol. 9, Iss. 1
Open Access | Times Cited: 68
Using text mining to establish knowledge graph from accident/incident reports in risk assessment
Chang Liu, Shiwu Yang
Expert Systems with Applications (2022) Vol. 207, pp. 117991-117991
Closed Access | Times Cited: 65
Machine learning approaches for electronic health records phenotyping: a methodical review
Siyue Yang, Paul Varghese, Ellen Stephenson, et al.
Journal of the American Medical Informatics Association (2022) Vol. 30, Iss. 2, pp. 367-381
Open Access | Times Cited: 63
Predicting the dynamic process and model parameters of the vector optical solitons in birefringent fibers via the modified PINN
Gang-Zhou Wu, Yin Fang, Yue‐Yue Wang, et al.
Chaos Solitons & Fractals (2021) Vol. 152, pp. 111393-111393
Open Access | Times Cited: 62
Sepsis prediction, early detection, and identification using clinical text for machine learning: a systematic review
Melissa Y. Yan, Lise Tuset Gustad, Øystein Nytrø
Journal of the American Medical Informatics Association (2021) Vol. 29, Iss. 3, pp. 559-575
Open Access | Times Cited: 62
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