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:

Explainable Artificial Intelligence for Predictive Modeling in Healthcare
Christopher C. Yang
Journal of Healthcare Informatics Research (2022) Vol. 6, Iss. 2, pp. 228-239
Open Access | Times Cited: 134

Showing 1-25 of 134 citing articles:

A systematic review of Explainable Artificial Intelligence models and applications: Recent developments and future trends
A. Saranya, R. Subhashini
Decision Analytics Journal (2023) Vol. 7, pp. 100230-100230
Open Access | Times Cited: 193

The enlightening role of explainable artificial intelligence in medical & healthcare domains: A systematic literature review
Subhan Ali, Filza Akhlaq, Ali Shariq Imran, et al.
Computers in Biology and Medicine (2023) Vol. 166, pp. 107555-107555
Open Access | Times Cited: 107

Explainable Artificial Intelligence (XAI) for Internet of Things: A Survey
İbrahim Kök, Feyza Yıldırım Okay, Özgecan Muyanlı, et al.
IEEE Internet of Things Journal (2023) Vol. 10, Iss. 16, pp. 14764-14779
Open Access | Times Cited: 60

Artificial Intelligence in Regenerative Medicine: Applications and Implications
Hamed Nosrati, Masoud Nosrati
Biomimetics (2023) Vol. 8, Iss. 5, pp. 442-442
Open Access | Times Cited: 59

Explainable AI for Operational Research: A defining framework, methods, applications, and a research agenda
Koen W. De Bock, Kristof Coussement, Arno De Caigny, et al.
European Journal of Operational Research (2023) Vol. 317, Iss. 2, pp. 249-272
Open Access | Times Cited: 47

AI‐organoid integrated systems for biomedical studies and applications
Sudhiksha Maramraju, Andrew Kowalczewski, Anirudh Kaza, et al.
Bioengineering & Translational Medicine (2024) Vol. 9, Iss. 2
Open Access | Times Cited: 16

The Nexus of Healthcare and Technology
Pooja Darda, Nikita Matta
Advances in healthcare information systems and administration book series (2024), pp. 261-282
Closed Access | Times Cited: 15

A Systematic Comparative Study on the use of Machine Learning Techniques to Predict Lung Cancer and its Metastasis to the Liver: LCLM-Predictor Model
Shajeni Justin, Tamil Selvan
International Journal of Computational and Experimental Science and Engineering (2025) Vol. 11, Iss. 1
Open Access | Times Cited: 3

Metaverse assisted Telesurgery in Healthcare 5.0: An interplay of Blockchain and Explainable AI
Pronaya Bhattacharya, Mohammad S. Obaidat, Darshan Savaliya, et al.
(2022), pp. 1-5
Closed Access | Times Cited: 55

Machine learning for small molecule drug discovery in academia and industry
Andrea Volkamer, Sereina Riniker, Eva Nittinger, et al.
Artificial Intelligence in the Life Sciences (2023) Vol. 3, pp. 100056-100056
Open Access | Times Cited: 30

Artificial Intelligence-Assisted Diagnostic Cytology and Genomic Testing for Hematologic Disorders
Lealem Gedefaw, Chia-Fei Liu, Rosalina K. L. Ip, et al.
Cells (2023) Vol. 12, Iss. 13, pp. 1755-1755
Open Access | Times Cited: 30

Revolutionizing healthcare and medicine: The impact of modern technologies for a healthier future—A comprehensive review
Aswin Thacharodi, Prabhakar Singh, Ramu Meenatchi, et al.
Health care science (2024) Vol. 3, Iss. 5, pp. 329-349
Open Access | Times Cited: 14

Critical review of self‐diagnosis of mental health conditions using artificial intelligence
Supra Wimbarti, Bernabas H. R. Kairupan, Trina Ekawati Tallei
International Journal of Mental Health Nursing (2024) Vol. 33, Iss. 2, pp. 344-358
Closed Access | Times Cited: 8

Explainable AI in Healthcare
Shantha Visalakshi Upendran
Advances in healthcare information systems and administration book series (2024), pp. 58-71
Closed Access | Times Cited: 8

Current methods in explainable artificial intelligence and future prospects for integrative physiology
Bettina Finzel
Pflügers Archiv - European Journal of Physiology (2025)
Open Access | Times Cited: 1

Can Artificial Intelligence Replace the Unique Nursing Role?
S.K. Mohanasundari, M Kalpana, U Madhusudhan, et al.
Cureus (2023)
Open Access | Times Cited: 21

Implementation of artificial intelligence in thoracic imaging—a what, how, and why guide from the European Society of Thoracic Imaging (ESTI)
Fergus Gleeson, Marie-Pierre Revel, Jürgen Biederer, et al.
European Radiology (2023) Vol. 33, Iss. 7, pp. 5077-5086
Open Access | Times Cited: 16

Emerging Trends in AI-Driven Health Tech: A Comprehensive Review and Future Prospects
Sreeram Mullankandy, Israr Kazmi, Tasriqul Islam, et al.
European Journal of Technology (2024) Vol. 8, Iss. 2, pp. 25-40
Open Access | Times Cited: 6

Revolutionizing Gastrointestinal Disorder Management: Cutting-Edge Advances and Future Prospects
C. Raman Suri, Babita Pande, Tarun Sahu, et al.
Journal of Clinical Medicine (2024) Vol. 13, Iss. 13, pp. 3977-3977
Open Access | Times Cited: 6

Artificial intelligence in cancer diagnosis: Opportunities and challenges
Mohammed S. Alshuhri, Sada Ghalib Al‐Musawi, Ameen Abdulhasan Al-Alwany, et al.
Pathology - Research and Practice (2023) Vol. 253, pp. 154996-154996
Closed Access | Times Cited: 15

Finding the Best Match — a Case Study on the (Text-)Feature and Model Choice in Digital Mental Health Interventions
Kirsten Zantvoort, Jonas Scharfenberger, Leif Boß, et al.
Journal of Healthcare Informatics Research (2023) Vol. 7, Iss. 4, pp. 447-479
Open Access | Times Cited: 14

Explainable Artificial Intelligence (XAI) in healthcare: Interpretable Models for Clinical Decision Support
Nitin Rane, Saurabh Choudhary, Jayesh Rane
SSRN Electronic Journal (2023)
Closed Access | Times Cited: 13

Classification and Explanation of Iron Deficiency Anemia from Complete Blood Count Data Using Machine Learning
Siddartha Pullakhandam, Susan McRoy
BioMedInformatics (2024) Vol. 4, Iss. 1, pp. 661-672
Open Access | Times Cited: 5

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