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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:

Application of explainable artificial intelligence in medical health: A systematic review of interpretability methods
Shahab S. Band, Atefeh Yarahmadi, Chung-Chian Hsu, et al.
Informatics in Medicine Unlocked (2023) Vol. 40, pp. 101286-101286
Open Access | Times Cited: 100

Showing 1-25 of 100 citing articles:

Explainable Artificial Intelligence (XAI) 2.0: A manifesto of open challenges and interdisciplinary research directions
Luca Longo, Mario Brčić, Federico Cabitza, et al.
Information Fusion (2024) Vol. 106, pp. 102301-102301
Open Access | Times Cited: 141
Explainable Artificial Intelligence (XAI)
Mitra Tithi Dey
Advances in environmental engineering and green technologies book series (2024), pp. 333-362
Closed Access | Times Cited: 137
A review of Explainable Artificial Intelligence in healthcare
Zahra Sadeghi, Roohallah Alizadehsani, Mehmet Akif Çifçi, et al.
Computers & Electrical Engineering (2024) Vol. 118, pp. 109370-109370
Open Access | Times Cited: 52
Explainable and interpretable artificial intelligence in medicine: a systematic bibliometric review
Maria Frasca, Davide La Torre, Gabriella Pravettoni, et al.
Discover Artificial Intelligence (2024) Vol. 4, Iss. 1
Open Access | Times Cited: 41
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: 38
INTEGRATING ARTIFICIAL INTELLIGENCE AND BIG DATA IN MOBILE HEALTH: A SYSTEMATIC REVIEW OF INNOVATIONS AND CHALLENGES IN HEALTHCARE SYSTEMS

Deleted Journal (2024) Vol. 3, Iss. 1, pp. 1-16
Open Access | Times Cited: 37
Designing interpretable ML system to enhance trust in healthcare: A systematic review to proposed responsible clinician-AI-collaboration framework
Elham Nasarian, Roohallah Alizadehsani, U. Rajendra Acharya, et al.
Information Fusion (2024) Vol. 108, pp. 102412-102412
Open Access | Times Cited: 25
Harnessing of Artificial Intelligence for the Diagnosis and Prevention of Hospital-Acquired Infections: A Systematic Review
Buket Baddal, Ferdiye Taner, Dilber Uzun Ozsahin
Diagnostics (2024) Vol. 14, Iss. 5, pp. 484-484
Open Access | Times Cited: 17
Artificial Intelligence and Neuroscience: Transformative Synergies in Brain Research and Clinical Applications
Răzvan Onciul, Cătălina-Ioana Tătaru, Adrian Dumitru, et al.
Journal of Clinical Medicine (2025) Vol. 14, Iss. 2, pp. 550-550
Open Access | Times Cited: 5
Quantum Computing and Machine Learning in Medical Decision-Making: A Comprehensive Review
James C. L. Chow
Algorithms (2025) Vol. 18, Iss. 3, pp. 156-156
Open Access | Times Cited: 2
Explainable Artificial Intelligence (XAI) Approaches for Transparency and Accountability in Financial Decision-Making
Nitin Liladhar Rane, Saurabh Choudhary, Jayesh Rane
SSRN Electronic Journal (2023)
Closed Access | Times Cited: 25
Deep Learning for MRI Segmentation and Molecular Subtyping in Glioblastoma: Critical Aspects from an Emerging Field
Marta Bonada, Luca Francesco Rossi, Giovanni Carone, et al.
Biomedicines (2024) Vol. 12, Iss. 8, pp. 1878-1878
Open Access | Times Cited: 11
Fall risk classification with posturographic parameters in community-dwelling older adults: a machine learning and explainable artificial intelligence approach
Huey‐Wen Liang, Rasoul Ameri, Shahab S. Band, et al.
Journal of NeuroEngineering and Rehabilitation (2024) Vol. 21, Iss. 1
Open Access | Times Cited: 7
Robustness in deep learning models for medical diagnostics: security and adversarial challenges towards robust AI applications
Haseeb Javed, Shaker El-Sappagh, Tamer Abuhmed
Artificial Intelligence Review (2024) Vol. 58, Iss. 1
Open Access | Times Cited: 7
AI Advancements: Comparison of Innovative Techniques
Hamed Taherdoost, Mitra Madanchian
AI (2023) Vol. 5, Iss. 1, pp. 38-54
Open Access | Times Cited: 16
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: 14
A novel approach of brain-computer interfacing (BCI) and Grad-CAM based explainable artificial intelligence: Use case scenario for smart healthcare
Kamini Lamba, Shalli Rani
Journal of Neuroscience Methods (2024) Vol. 408, pp. 110159-110159
Closed Access | Times Cited: 5
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
Innovative Speech-Based Deep Learning Approaches for Parkinson’s Disease Classification: A Systematic Review
Lisanne van Gelderen, Cristian Tejedor-Garcı́a
Applied Sciences (2024) Vol. 14, Iss. 17, pp. 7873-7873
Open Access | Times Cited: 5
Explainable deep learning approach for advanced persistent threats (APTs) detection in cybersecurity: a review
Noor Hazlina Abdul Mutalib, Aznul Qalid Md Sabri, Ainuddin Wahid Abdul Wahab, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 11
Open Access | Times Cited: 5
Impact of human and artificial intelligence collaboration on workload reduction in medical image interpretation
Mingyang Chen, Yuting Wang, Qiankun Wang, et al.
npj Digital Medicine (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 5
Artificial Intelligence in Telemedicine: A Global Perspective Visualization Analysis
Xu Zhang, Li Ma, Di Sun, et al.
Telemedicine Journal and e-Health (2024) Vol. 30, Iss. 7, pp. e1909-e1922
Closed Access | Times Cited: 4
Assessing the Reliability of Machine Learning Models Applied to the Mental Health Domain Using Explainable AI
Vishnu S. Pendyala, HyungKyun Kim
Electronics (2024) Vol. 13, Iss. 6, pp. 1025-1025
Open Access | Times Cited: 4
DWARF: Disease-Weighted Network for Attention Map Refinement
Haozhe Luo, Aurélie Pahud de Mortanges, Oana Inel, et al.
Lecture notes in computer science (2025), pp. 59-68
Closed Access
Interpretable Machine Learning for Oral Lesion Diagnosis Through Prototypical Instances Identification
Alessio Cascione, Mattia Setzu, Federico A. Galatolo, et al.
Lecture notes in computer science (2025), pp. 316-331
Closed Access
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