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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:

Artificial Intelligence Transforms the Future of Health Care
Nariman Noorbakhsh-Sabet, Ramin Zand, Yanfei Zhang, et al.
The American Journal of Medicine (2019) Vol. 132, Iss. 7, pp. 795-801
Open Access | Times Cited: 438

Showing 26-50 of 438 citing articles:

Multirole of the internet of medical things (IoMT) in biomedical systems for managing smart healthcare systems: An overview of current and future innovative trends
Darin Mansor Mathkor, Noof Mathkor, Zaid Bassfar, et al.
Journal of Infection and Public Health (2024) Vol. 17, Iss. 4, pp. 559-572
Open Access | Times Cited: 37
Artificial Intelligence in Hospitality and Tourism: Insights From Industry Practices, Research Literature, and Expert Opinions
Hyunsu Kim, Kevin Kam Fung So, Seunghun Shin, et al.
Journal of Hospitality & Tourism Research (2024) Vol. 49, Iss. 2, pp. 366-385
Closed Access | Times Cited: 34
Explainable AI-driven IoMT fusion: Unravelling techniques, opportunities, and challenges with Explainable AI in healthcare
Niyaz Ahmad Wani, Ravinder Kumar, ­ Mamta, et al.
Information Fusion (2024) Vol. 110, pp. 102472-102472
Closed Access | Times Cited: 33
Revolutionizing Drug Discovery: A Comprehensive Review of AI Applications
Rushikesh Dhudum, Ankit Ganeshpurkar, Atmaram Pawar
Drugs and Drug Candidates (2024) Vol. 3, Iss. 1, pp. 148-171
Open Access | Times Cited: 28
Artificial intelligence and multimodal data fusion for smart healthcare: topic modeling and bibliometrics
Xieling Chen, Haoran Xie, Xiaohui Tao, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 4
Open Access | Times Cited: 25
Exploring the Role of Artificial Intelligence in Mental Healthcare: Current Trends and Future Directions – A Narrative Review for a Comprehensive Insight
Ahmed M. Alhuwaydi
Risk Management and Healthcare Policy (2024) Vol. Volume 17, pp. 1339-1348
Open Access | Times Cited: 24
The Role of Artificial Intelligence in Identifying Depression and Anxiety: A Comprehensive Literature Review
Fabeha Zafar, Laraib Fakhare Alam, Rafael R Vivas, et al.
Cureus (2024)
Open Access | Times Cited: 20
Integrating large language models in systematic reviews: a framework and case study using ROBINS-I for risk of bias assessment
Bashar Hasan, Samer Saadi, Noora S. Rajjoub, et al.
BMJ evidence-based medicine (2024) Vol. 29, Iss. 6, pp. 394-398
Closed Access | Times Cited: 19
Investigation and Assessment of AI’s Role in Nutrition—An Updated Narrative Review of the Evidence
Hanin Kassem, A. Shamla Beevi, Sondos Basheer, et al.
Nutrients (2025) Vol. 17, Iss. 1, pp. 190-190
Open Access | Times Cited: 4
Artificial intelligence in mental health care: a systematic review of diagnosis, monitoring, and intervention applications
Pablo Cruz-Gonzalez, Anxun He, Eva K. M. Lam, et al.
Psychological Medicine (2025) Vol. 55
Closed Access | Times Cited: 3
Industry 4.0 Disruption and Its Neologisms in Major Industrial Sectors: A State of the Art
Ocident Bongomin, Aregawi Yemane, Brendah Kembabazi, et al.
Journal of Engineering (2020) Vol. 2020, pp. 1-45
Open Access | Times Cited: 121
Health Information Management: Implications of Artificial Intelligence on Healthcare Data and Information Management
Mary H Stanfill, David T. Marc
Yearbook of Medical Informatics (2019) Vol. 28, Iss. 01, pp. 056-064
Open Access | Times Cited: 117
Artificial Intelligence in Plastic Surgery: Current Applications, Future Directions, and Ethical Implications
Tyler L. Jarvis, Danielle A. Thornburg, Alanna M. Rebecca, et al.
Plastic & Reconstructive Surgery Global Open (2020) Vol. 8, Iss. 10, pp. e3200-e3200
Open Access | Times Cited: 94
Artificial intelligence in gastroenterology: A state-of-the-art review
Paul T. Kröner, Megan Engels, Benjamin S. Glicksberg, et al.
World Journal of Gastroenterology (2021) Vol. 27, Iss. 40, pp. 6794-6824
Open Access | Times Cited: 93
Machine Learning and Surgical Outcomes Prediction: A Systematic Review
Omar Elfanagely, Yoshiko Toyoda, Sammy Othman, et al.
Journal of Surgical Research (2021) Vol. 264, pp. 346-361
Closed Access | Times Cited: 73
Novel binary logistic regression model based on feature transformation of XGBoost for type 2 Diabetes Mellitus prediction in healthcare systems
Yalin Wu, Qianjian Zhang, Hu Yaqin, et al.
Future Generation Computer Systems (2021) Vol. 129, pp. 1-12
Closed Access | Times Cited: 72
Applications of artificial intelligence and machine learning in heart failure
Tauben Averbuch, Kristen Sullivan, Andrew J. Sauer, et al.
European Heart Journal - Digital Health (2022) Vol. 3, Iss. 2, pp. 311-322
Open Access | Times Cited: 66
Imputation of missing values for electronic health record laboratory data
Jiang Li, Xiaowei Yan, Durgesh Chaudhary, et al.
npj Digital Medicine (2021) Vol. 4, Iss. 1
Open Access | Times Cited: 65
Next-generation business models for artificial intelligence start-ups in the healthcare industry
Ignat Kulkov
International Journal of Entrepreneurial Behaviour & Research (2021) Vol. 29, Iss. 4, pp. 860-885
Open Access | Times Cited: 57
Equity within AI systems: What can health leaders expect?
Emma Gurevich, Basheer El Hassan, Christo El Morr
Healthcare Management Forum (2022) Vol. 36, Iss. 2, pp. 119-124
Open Access | Times Cited: 54
An efficient image encryption scheme for healthcare applications
Parsa Sarosh, Shabir A. Parah, G. Mohiuddin Bhat
Multimedia Tools and Applications (2022) Vol. 81, Iss. 5, pp. 7253-7270
Open Access | Times Cited: 52
Artificial intelligence in pharmacology research and practice
Maaike van der Lee, Jesse J. Swen
Clinical and Translational Science (2022) Vol. 16, Iss. 1, pp. 31-36
Open Access | Times Cited: 49
Best practices in the real-world data life cycle
Joe Zhang, Joshua Symons, Paul‐Michael Agapow, et al.
PLOS Digital Health (2022) Vol. 1, Iss. 1, pp. e0000003-e0000003
Open Access | Times Cited: 47
Machine Learning Algorithms for Predicting Surgical Outcomes after Colorectal Surgery: A Systematic Review
Mustafa Bektaş, Jurriaan B. Tuynman, Jaime Costa Pereira, et al.
World Journal of Surgery (2022) Vol. 46, Iss. 12, pp. 3100-3110
Open Access | Times Cited: 44
Artificial Intelligence in Drug Discovery and Development
Kit‐Kay Mak, Yi-Hang Wong, Mallikarjuna Rao Pichika
Springer eBooks (2023), pp. 1-38
Closed Access | Times Cited: 35

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