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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:

Development and Validation of a Machine Learning-Based Decision Support Tool for Residency Applicant Screening and Review
Jesse Burk‐Rafel, Ilan Reinstein, James J. Feng, et al.
Academic Medicine (2021) Vol. 96, Iss. 11S, pp. S54-S61
Open Access | Times Cited: 35

Showing 1-25 of 35 citing articles:

A scoping review of artificial intelligence in medical education: BEME Guide No. 84
Morris Gordon, Michelle Daniel, Aderonke Ajiboye, et al.
Medical Teacher (2024) Vol. 46, Iss. 4, pp. 446-470
Open Access | Times Cited: 73
Precision Medical Education
Marc M. Triola, Jesse Burk‐Rafel
Academic Medicine (2023) Vol. 98, Iss. 7, pp. 775-781
Open Access | Times Cited: 42
Will ChatGPT Match to Your Program?
Jennifer M. Zumsteg, Cherry Junn
American Journal of Physical Medicine & Rehabilitation (2023)
Open Access | Times Cited: 22
Insights Gained from Using AI to Produce Cases for Problem-Based Learning
Enjy Abouzeid, Patricia Harris
(2025), pp. 5-5
Open Access | Times Cited: 1
Data sharing and big data in health professions education: Ottawa consensus statement and recommendations for scholarship
Kulamakan Kulasegaram, Lawrence Grierson, Cassandra Barber, et al.
Medical Teacher (2024) Vol. 46, Iss. 4, pp. 471-485
Closed Access | Times Cited: 6
Artificial Intelligence Screening of Medical School Applications: Development and Validation of a Machine-Learning Algorithm
Marc M. Triola, Ilan Reinstein, Marina Marin, et al.
Academic Medicine (2023) Vol. 98, Iss. 9, pp. 1036-1043
Open Access | Times Cited: 13
Uso de la inteligencia artificial en la educación médica: ¿herramienta o amenaza? Revisión de alcance
Mateo Aguirre Flórez, José Fernándo Gómez, Laura Alejandra Jímenez-Osorio, et al.
Investigación en Educación Médica (2025) Vol. 14, Iss. 53, pp. 90-106
Open Access
Model interpretability enhances domain generalization in the case of textual complexity modeling
Frans van der Sluis, Egon L. van den Broek
Patterns (2025) Vol. 6, Iss. 2, pp. 101177-101177
Open Access
Applications of Artificial Intelligence in Medical Education: A Systematic Review
Eric Hallquist, Ishank Gupta, Michael Montalbano, et al.
Cureus (2025)
Open Access
Investigating the Road to Equity: A Scoping Review of Solutions to Mitigate Implicit Bias in Assessment within Medical Education
Kristin E. Mangalindan, Tasha R. Wyatt, Kirsten R. Brown, et al.
Perspectives on Medical Education (2025) Vol. 14, Iss. 1, pp. 92-106
Open Access
Advancing health professions education: a review of holistic admissions and competency-based admissions practices
Michael C. Jernigan, Kira J. Carbonneau
Medical Education Online (2025) Vol. 30, Iss. 1
Open Access
Using artificial intelligence in medical school admissions screening to decrease inter- and intra-observer variability
Graham Keir, Willie Hu, Christopher G. Filippi, et al.
JAMIA Open (2023) Vol. 6, Iss. 1
Open Access | Times Cited: 11
A New Tool for Holistic Residency Application Review: Using Natural Language Processing of Applicant Experiences to Predict Interview Invitation
Arun Mahtani, Ilan Reinstein, Marina Marin, et al.
Academic Medicine (2023) Vol. 98, Iss. 9, pp. 1018-1021
Open Access | Times Cited: 11
Measuring and Predicting Faculty Consensus Rankings of Standardized Letters of Evaluation.
Morgan Sehdev, Benjamin Schnapp, Nicole M. Dubosh, et al.
PubMed (2024) Vol. 16, Iss. 1, pp. 51-58
Closed Access | Times Cited: 4
Using Holistic Residency Applicant Review and Selection in Radiation Oncology to Enhance Diversity and Inclusion—An ASTRO SCAROP-ADROP-ARRO Collaboration
Rachel Jimenez, Chelsea C. Pinnix, Titania Juang, et al.
International Journal of Radiation Oncology*Biology*Physics (2023) Vol. 116, Iss. 2, pp. 334-347
Closed Access | Times Cited: 9
Using Natural Language Processing and Machine Learning to Identify Internal Medicine–Pediatrics Residency Values in Applications
Benjamin Drum, Jianlin Shi, Bennet Peterson, et al.
Academic Medicine (2023) Vol. 98, Iss. 11, pp. 1278-1282
Open Access | Times Cited: 9
Artificial intelligence: Reducing inconsistency in the surgical residency application review process
M J Markow, Mallory Jebbia, Bima J. Hasjim, et al.
The American Journal of Surgery (2024) Vol. 238, pp. 115816-115816
Closed Access | Times Cited: 2
Artificial Intelligence in Residency Recruitment
Rachel Gottlieb-Smith, Kathryn Xixis, Jaclyn M. Martindale, et al.
Neurology Education (2024) Vol. 3, Iss. 3
Closed Access | Times Cited: 2
Large Language Models in Otolaryngology Residency Admissions: A Random Sampling Analysis
Akash S. Halagur, Karthik Balakrishnan, Noel Ayoub
The Laryngoscope (2024)
Closed Access | Times Cited: 1
The Potential for Artificial Intelligence Tools in Residency Recruitment
Arlene M. Ruiz de Luzuriaga
Cutis (2024) Vol. 113, Iss. 2
Open Access | Times Cited: 1
From Bytes to Insights: The Promise and Peril of Artificial Intelligence–Powered Psychiatry
Alex Luna, Steven E. Hyler
Academic Psychiatry (2024)
Closed Access | Times Cited: 1
Artificial Intelligence: Reflections on Its Use to Promote DEIA Principles for Residency Recruitment
Priyanka Tulshian
Family Medicine (2024) Vol. 56, Iss. 6, pp. 344-345
Open Access | Times Cited: 1
Analyzing the Landscape of the 2021 Virtual Match: A Nationwide Survey of Radiology Programs’ Stakeholders
Serageldin Kamel, Mindy X. Wang, Jeffrey Guccione, et al.
Academic Radiology (2021) Vol. 29, Iss. 9, pp. 1432-1446
Closed Access | Times Cited: 10
A Decision Support Tool for Buying Farm Tractors, Based on Predictive Analytics
Luis Ruiz-García, Patricia Sanchez-Guerrero
Agriculture (2022) Vol. 12, Iss. 3, pp. 331-331
Open Access | Times Cited: 7
Machine Learning for The Prediction of Ranked Applicants and Matriculants to an Internal Medicine Residency Program
Christiaan A. Rees, Hilary F. Ryder
Teaching and Learning in Medicine (2022) Vol. 35, Iss. 3, pp. 277-286
Closed Access | Times Cited: 7
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