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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:

Medical artificial intelligence
Karl Stöger, David Schneeberger, Andreas Holzinger
Communications of the ACM (2021) Vol. 64, Iss. 11, pp. 34-36
Closed Access | Times Cited: 87

Showing 1-25 of 87 citing articles:

Explainable Artificial Intelligence (XAI): What we know and what is left to attain Trustworthy Artificial Intelligence
Sajid Ali, Tamer Abuhmed, Shaker El–Sappagh, et al.
Information Fusion (2023) Vol. 99, pp. 101805-101805
Open Access | Times Cited: 603
A systematic review of trustworthy and explainable artificial intelligence in healthcare: Assessment of quality, bias risk, and data fusion
A. S. Albahri, Ali M. Duhaim, Mohammed A. Fadhel, et al.
Information Fusion (2023) Vol. 96, pp. 156-191
Closed Access | Times Cited: 341
Connecting the dots in trustworthy Artificial Intelligence: From AI principles, ethics, and key requirements to responsible AI systems and regulation
Natalia Díaz-Rodríguez, Javier Del Ser, Mark Coeckelbergh, et al.
Information Fusion (2023) Vol. 99, pp. 101896-101896
Open Access | Times Cited: 255
Transparency of AI in Healthcare as a Multilayered System of Accountabilities: Between Legal Requirements and Technical Limitations
Anastasiya Kiseleva, Dimitris Kotzinos, Paul De Hert
Frontiers in Artificial Intelligence (2022) Vol. 5
Open Access | Times Cited: 108
Explainability of artificial intelligence methods, applications and challenges: A comprehensive survey
Weiping Ding, Mohamed Abdel‐Basset, Hossam Hawash, et al.
Information Sciences (2022) Vol. 615, pp. 238-292
Closed Access | Times Cited: 107
Digital Transformation in Smart Farm and Forest Operations Needs Human-Centered AI: Challenges and Future Directions
Andreas Holzinger, Anna Saranti, Alessa Angerschmid, et al.
Sensors (2022) Vol. 22, Iss. 8, pp. 3043-3043
Open Access | Times Cited: 103
Fairness and Explanation in AI-Informed Decision Making
Alessa Angerschmid, Jianlong Zhou, Kevin Theuermann, et al.
Machine Learning and Knowledge Extraction (2022) Vol. 4, Iss. 2, pp. 556-579
Open Access | Times Cited: 101
A manifesto on explainability for artificial intelligence in medicine
Carlo Combi, Beatrice Amico, Riccardo Bellazzi, et al.
Artificial Intelligence in Medicine (2022) Vol. 133, pp. 102423-102423
Open Access | Times Cited: 95
The psychological mechanism of internet information processing for post-treatment evaluation
Quan‐Hoang Vuong, Tam-Tri Le, Viet‐Phuong La, et al.
Heliyon (2022) Vol. 8, Iss. 5, pp. e09351-e09351
Open Access | Times Cited: 76
A survey on XAI and natural language explanations
Erik Cambria, Lorenzo Malandri, Fabio Mercorio, et al.
Information Processing & Management (2022) Vol. 60, Iss. 1, pp. 103111-103111
Closed Access | Times Cited: 76
A systematic review of healthcare recommender systems: Open issues, challenges, and techniques
Maryam Etemadi, Sepideh Bazzaz Abkenar, Ahmad Ahmadzadeh, et al.
Expert Systems with Applications (2022) Vol. 213, pp. 118823-118823
Closed Access | Times Cited: 69
Ethical considerations on artificial intelligence in dentistry: A framework and checklist
Rata Rokhshad, Maxime Ducret, Akhilanand Chaurasia, et al.
Journal of Dentistry (2023) Vol. 135, pp. 104593-104593
Closed Access | Times Cited: 49
Post-hoc vs ante-hoc explanations: xAI design guidelines for data scientists
Carl Orge Retzlaff, Alessa Angerschmid, Anna Saranti, et al.
Cognitive Systems Research (2024) Vol. 86, pp. 101243-101243
Open Access | Times Cited: 32
Human-in-the-Loop Reinforcement Learning: A Survey and Position on Requirements, Challenges, and Opportunities
Carl Orge Retzlaff, Srijita Das, Christabel Wayllace, et al.
Journal of Artificial Intelligence Research (2024) Vol. 79, pp. 359-415
Open Access | Times Cited: 28
Patient perspectives on informed consent for medical AI: A web-based experiment
Hai Jin Park
Digital Health (2024) Vol. 10
Open Access | Times Cited: 17
Large Language Models lack essential metacognition for reliable medical reasoning
Maxime Griot, Coralie Hemptinne, Jean Vanderdonckt, et al.
Nature Communications (2025) Vol. 16, Iss. 1
Open Access | Times Cited: 2
Quod erat demonstrandum? - Towards a typology of the concept of explanation for the design of explainable AI
Federico Cabitza, Andrea Campagner, Gianclaudio Malgieri, et al.
Expert Systems with Applications (2022) Vol. 213, pp. 118888-118888
Open Access | Times Cited: 64
Personas for Artificial Intelligence (AI) an Open Source Toolbox
Andreas Holzinger, Michaela Kargl, Bettina Kipperer, et al.
IEEE Access (2022) Vol. 10, pp. 23732-23747
Open Access | Times Cited: 57
News from Generative Artificial Intelligence Is Believed Less
Chiara Longoni, Andrey Fradkin, Luca Cian, et al.
2022 ACM Conference on Fairness, Accountability, and Transparency (2022), pp. 97-106
Open Access | Times Cited: 47
The underuse of AI in the health sector: Opportunity costs, success stories, risks and recommendations
Ugo Pagallo, Shane O’Sullivan, Nathalie Nevejans, et al.
Health and Technology (2023) Vol. 14, Iss. 1, pp. 1-14
Open Access | Times Cited: 29
From Industry 5.0 to Forestry 5.0: Bridging the gap with Human-Centered Artificial Intelligence
Andreas Holzinger, Janine Schweier, Christoph Gollob, et al.
Current Forestry Reports (2024) Vol. 10, Iss. 6, pp. 442-455
Open Access | Times Cited: 10
Pathways to democratized healthcare: Envisioning human-centered AI-as-a-service for customized diagnosis and rehabilitation
Tommaso Turchi, Giuseppe Prencipe, Alessio Malizia, et al.
Artificial Intelligence in Medicine (2024) Vol. 151, pp. 102850-102850
Open Access | Times Cited: 9
An interpretable dual attention network for diabetic retinopathy grading: IDANet
Amit Bhati, Neha Gour, Pritee Khanna, et al.
Artificial Intelligence in Medicine (2024) Vol. 149, pp. 102782-102782
Closed Access | Times Cited: 8
AI Anxiety: Explication and Exploration of Effect on State Anxiety When Interacting with AI Doctors
Hyun Yang, S. Shyam Sundar
Computers in Human Behavior Artificial Humans (2025), pp. 100128-100128
Open Access | Times Cited: 1
Explainable multi-instance and multi-task learning for COVID-19 diagnosis and lesion segmentation in CT images
Minglei Li, Xiang Li, Yuchen Jiang, et al.
Knowledge-Based Systems (2022) Vol. 252, pp. 109278-109278
Open Access | Times Cited: 35
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