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:

Extracting seizure frequency from epilepsy clinic notes: a machine reading approach to natural language processing
Kevin Xie, Ryan S. Gallagher, Erin C. Conrad, et al.
Journal of the American Medical Informatics Association (2022) Vol. 29, Iss. 5, pp. 873-881
Open Access | Times Cited: 44

Showing 1-25 of 44 citing articles:

Artificial intelligence in epilepsy — applications and pathways to the clinic
Alfredo Lucas, Andrew Y. Revell, Kathryn A. Davis
Nature Reviews Neurology (2024) Vol. 20, Iss. 6, pp. 319-336
Closed Access | Times Cited: 18

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: 64

Are AI language models such as ChatGPT ready to improve the care of individuals with epilepsy?
Christian M. Boßelmann, Costin Leu, Dennis Lal
Epilepsia (2023) Vol. 64, Iss. 5, pp. 1195-1199
Open Access | Times Cited: 41

Large Language Models in Neurology Research and Future Practice
Michael F. Romano, Ludy C. Shih, Ioannis Ch. Paschalidis, et al.
Neurology (2023) Vol. 101, Iss. 23, pp. 1058-1067
Open Access | Times Cited: 30

Review of Machine Learning and Artificial Intelligence (ML/AI) for the Pediatric Neurologist
Grace Gombolay, Nakul Gopalan, Andrea Bernasconi, et al.
Pediatric Neurology (2023) Vol. 141, pp. 42-51
Open Access | Times Cited: 28

Heart disease risk factors detection from electronic health records using advanced NLP and deep learning techniques
Essam H. Houssein, Rehab E. Mohamed, Abdelmgeid A. Ali
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 23

Transforming epilepsy research: A systematic review on natural language processing applications
Arister N. J. Yew, Marijn Schraagen, Willem M. Otte, et al.
Epilepsia (2022) Vol. 64, Iss. 2, pp. 292-305
Open Access | Times Cited: 35

Machine Learning and Artificial Intelligence Applications to Epilepsy: a Review for the Practicing Epileptologist
Wesley T. Kerr, Katherine N. McFarlane
Current Neurology and Neuroscience Reports (2023) Vol. 23, Iss. 12, pp. 869-879
Closed Access | Times Cited: 22

Disparities in seizure outcomes revealed by large language models
Kevin Xie, William K.S. Ojemann, Ryan S. Gallagher, et al.
Journal of the American Medical Informatics Association (2024) Vol. 31, Iss. 6, pp. 1348-1355
Open Access | Times Cited: 7

Potential merits and flaws of large language models in epilepsy care: A critical review
Eric van Diessen, Ramon A. van Amerongen, Maeike Zijlmans, et al.
Epilepsia (2024) Vol. 65, Iss. 4, pp. 873-886
Open Access | Times Cited: 6

Long‐term epilepsy outcome dynamics revealed by natural language processing of clinic notes
Kevin Xie, Ryan S. Gallagher, Russell T. Shinohara, et al.
Epilepsia (2023) Vol. 64, Iss. 7, pp. 1900-1909
Open Access | Times Cited: 14

Extracting patient lifestyle characteristics from Dutch clinical text with BERT models
Hielke Muizelaar, M. Haas, Koert van Dortmont, et al.
BMC Medical Informatics and Decision Making (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 4

Clinical signatures of genetic epilepsies precede diagnosis in electronic medical records of 32,000 individuals
Peter D. Galer, Shridhar Parthasarathy, Julie Xian, et al.
Genetics in Medicine (2024) Vol. 26, Iss. 11, pp. 101211-101211
Closed Access | Times Cited: 4

A review of medical text analysis: Theory and practice
Yani Chen, Chunwu Zhang, Ruibin Bai, et al.
Information Fusion (2025), pp. 103024-103024
Closed Access

Utilizing Large Language Models to Detect and Decipher Abbreviation in Clinical Notes (Preprint)
Hamed Jafarpour, Cheligeer Cheligeer, Jun Yan, et al.
(2025)
Closed Access

Leveraging pretrained language models for seizure frequency extraction from epilepsy evaluation reports
Rashmie Abeysinghe, Shiqiang Tao, Samden D. Lhatoo, et al.
npj Digital Medicine (2025) Vol. 8, Iss. 1
Open Access

A Systematic Review of Large Language Models in Medical Specialties: Applications, Challenges and Future Directions
Asma Musabah Alkalbani, Ahmed Salim Alrawahi, Ahmad Salah, et al.
Research Square (Research Square) (2025)
Open Access

Zero-Shot Extraction of Seizure Outcomes from Clinical Notes Using Generative Pretrained Transformers
William K.S. Ojemann, Kevin Xie, Kevin Liu, et al.
Journal of Healthcare Informatics Research (2025)
Open Access

Development of a natural language processing algorithm to extract seizure types and frequencies from the electronic health record
Barbara Decker, Alexandra Turco, Jian Xu, et al.
Seizure (2022) Vol. 101, pp. 48-51
Open Access | Times Cited: 16

Machine understanding surgical actions from intervention procedure textbooks
Marco Bombieri, Marco Rospocher, Simone Paolo Ponzetto, et al.
Computers in Biology and Medicine (2022) Vol. 152, pp. 106415-106415
Open Access | Times Cited: 16

Machine Learning Approaches for Electronic Health Records Phenotyping: A Methodical Review
Siyue Yang, Paul Varghese, Ellen Stephenson, et al.
medRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 15

Improving Neurology Clinical Care With Natural Language Processing Tools
Wendong Ge, Hunter Rice, Irfan Sheikh, et al.
Neurology (2023) Vol. 101, Iss. 22, pp. 1010-1018
Closed Access | Times Cited: 9

Artificial intelligence in epilepsy phenotyping
Andrew Knight, Tilo Gschwind, Peter D. Galer, et al.
Epilepsia (2023)
Closed Access | Times Cited: 8

Direct Clinical Applications of Natural Language Processing in Common Neurological Disorders: Scoping Review
Ilana Lefkovitz, Samantha Walsh, Leah J. Blank, et al.
JMIR Neurotechnology (2024) Vol. 3, pp. e51822-e51822
Open Access | Times Cited: 3

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