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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:

Four principles of explainable artificial intelligence
P. Jonathon Phillips, Carina A. Hahn, Peter Fontana, et al.
(2021)
Open Access | Times Cited: 117

Showing 1-25 of 117 citing articles:

Explainable Artificial Intelligence in CyberSecurity: A Survey
Nicola Capuano, Giuseppe Fenza, Vincenzo Loia, et al.
IEEE Access (2022) Vol. 10, pp. 93575-93600
Open Access | Times Cited: 129
Explainable AI for 6G Use Cases: Technical Aspects and Research Challenges
Shen Wang, M. Atif Qureshi, Luis Miralles‐Pechuán, et al.
IEEE Open Journal of the Communications Society (2024) Vol. 5, pp. 2490-2540
Open Access | Times Cited: 19
Explainable Artificial Intelligence
Sergio Barezzani
Springer eBooks (2024), pp. 1-3
Closed Access | Times Cited: 15
Explainable Artificial Intelligence
Sergio Barezzani
(2025), pp. 846-847
Closed Access | Times Cited: 1
AI explainability and governance in smart energy systems: A review
Roba Alsaigh, Rashid Mehmood, Iyad Katib
Frontiers in Energy Research (2023) Vol. 11
Open Access | Times Cited: 30
Operational Research: methods and applications
Fotios Petropoulos, Gilbert Laporte, Emel Aktaş, et al.
Journal of the Operational Research Society (2023) Vol. 75, Iss. 3, pp. 423-617
Open Access | Times Cited: 30
Federated Learning in Health care Using Structured Medical Data
Won-Suk Oh, Girish N. Nadkarni
Advances in Kidney Disease and Health (2023) Vol. 30, Iss. 1, pp. 4-16
Open Access | Times Cited: 28
It is Not “Accuracy vs. Explainability”—We Need Both for Trustworthy AI Systems
Dragutin Petković
IEEE Transactions on Technology and Society (2023) Vol. 4, Iss. 1, pp. 46-53
Open Access | Times Cited: 24
Electrocardiogram Signals Classification Using Deep-Learning-Based Incorporated Convolutional Neural Network and Long Short-Term Memory Framework
Alaa Eleyan, Ebrahim Alboghbaish
Computers (2024) Vol. 13, Iss. 2, pp. 55-55
Open Access | Times Cited: 10
Should AI models be explainable to clinicians?
Gwénolé Abgrall, Andre L. Holder, Zaineb Chelly Dagdia, et al.
Critical Care (2024) Vol. 28, Iss. 1
Open Access | Times Cited: 8
A Lightweight, Efficient and Explainable-by-Design Convolutional Neural Network for Internet Traffic Classification
Kevin Fauvel, Fuxing Chen, Dario Rossi
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2023), pp. 4013-4023
Open Access | Times Cited: 19
Fuzzy Cognitive Maps: Their Role in Explainable Artificial Intelligence
Ioannis D. Apostolopoulos, Peter P. Groumpos
Applied Sciences (2023) Vol. 13, Iss. 6, pp. 3412-3412
Open Access | Times Cited: 18
Media Forensic Considerations of the Usage of Artificial Intelligence Using the Example of DeepFake Detection
Dennis Siegel, Christian Kraetzer, Stefan Seidlitz, et al.
Journal of Imaging (2024) Vol. 10, Iss. 2, pp. 46-46
Open Access | Times Cited: 7
Explainable AI: The Quest for Transparency in Business and Beyond
Hanna DeSimone, Maikel Leon-Espinosa
(2024) Vol. 1, pp. 532-538
Closed Access | Times Cited: 5
Paving the Roadmap for XAI and IML in Healthcare: Data-Driven Discoveries and the FIXAIH Framework
Saeed M. Alghamdi, Rashid Mehmood, Fahad Alqurashi, et al.
(2025)
Closed Access
Explainable Artificial Intelligence (XAI): A Perspective
Mohuya Chakraborty
Lecture notes in networks and systems (2025), pp. 47-63
Closed Access
Explaining Biomarker Response to Anticoagulant Therapy in Atrial Fibrillation: A Study of Warfarin and Rivaroxaban with Machine Learning Models
Adriano Veloso, Gianlucca Zuin, Laureen Sena
Lecture notes in computer science (2025), pp. 475-487
Closed Access
Enhancing Transparency and Trust in Brain Tumor Diagnosis: An In-Depth Analysis of Deep Learning and Explainable AI Techniques
Krishan Kumar, Kiran Jyoti
Research Square (Research Square) (2025)
Closed Access
Machine learning for smart water distribution systems: exploring applications, challenges and future perspectives
Redemptor Jr Laceda Taloma, Francesca Cuomo, Danilo Comminiello, et al.
Artificial Intelligence Review (2025) Vol. 58, Iss. 4
Open Access
“Assessing Predictability of Environmental Time Series With Statistical and Machine Learning Models”
Nathaniel K. Newlands, Vyacheslav Lyubchich
Environmetrics (2025) Vol. 36, Iss. 2
Open Access
Towards Trustable Intelligent Clinical Decision Support Systems: A User Study with Ophthalmologists
Robert Andreas Leist, Hans-Jürgen Profitlich, Tim Hunsicker, et al.
(2025), pp. 1470-1484
Closed Access
“Always Check Important Information!” - The Role of Disclaimers in the Perception of AI-generated Content
Angelica Lermann Henestrosa, Joachim Kimmerle
Computers in Human Behavior Artificial Humans (2025), pp. 100142-100142
Open Access
Prediction Versus Explanation in Educational Psychology: a Cross-Theoretical Approach to Using Teacher Behaviour to Predict Student Engagement in Physical Education
Michael Noetel, Philip D. Parker, Theresa Dicke, et al.
Educational Psychology Review (2023) Vol. 35, Iss. 3
Open Access | Times Cited: 13
A Novel Explainable AI Model for Medical Data Analysis
Nataliya Shakhovska, Andrii Shebeko, Yarema Prykarpatskyy
Journal of Artificial Intelligence and Soft Computing Research (2024) Vol. 14, Iss. 2, pp. 121-137
Open Access | Times Cited: 4
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