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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:

Using ontologies to enhance human understandability of global post-hoc explanations of black-box models
Roberto Confalonieri, Tillman Weyde, Tarek R. Besold, et al.
Artificial Intelligence (2021) Vol. 296, pp. 103471-103471
Open Access | Times Cited: 92

Showing 1-25 of 92 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: 593
Explainable AI (XAI): A systematic meta-survey of current challenges and future opportunities
Waddah Saeed, Christian W. Omlin
Knowledge-Based Systems (2023) Vol. 263, pp. 110273-110273
Open Access | Times Cited: 333
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: 124
Recent Advances in Trustworthy Explainable Artificial Intelligence: Status, Challenges, and Perspectives
Atul Rawal, James McCoy, Danda B. Rawat, et al.
IEEE Transactions on Artificial Intelligence (2021) Vol. 3, Iss. 6, pp. 852-866
Open Access | Times Cited: 118
Survey of explainable artificial intelligence techniques for biomedical imaging with deep neural networks
Sajid Nazir, Diane M. Dickson, Muhammad Usman Akram
Computers in Biology and Medicine (2023) Vol. 156, pp. 106668-106668
Open Access | Times Cited: 114
How does the model make predictions? A systematic literature review on the explainability power of machine learning in healthcare
Johannes Allgaier, Lena Mulansky, Rachel Lea Draelos, et al.
Artificial Intelligence in Medicine (2023) Vol. 143, pp. 102616-102616
Open Access | Times Cited: 58
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
ShapG: New feature importance method based on the Shapley value
Chi Zhao, Jing Liu, Elena Parilina
Engineering Applications of Artificial Intelligence (2025) Vol. 148, pp. 110409-110409
Closed Access | Times Cited: 1
EXplainable Neural-Symbolic Learning (X-NeSyL) methodology to fuse deep learning representations with expert knowledge graphs: The MonuMAI cultural heritage use case
Natalia Díaz-Rodríguez, A. Lamas, Jules Sanchez, et al.
Information Fusion (2021) Vol. 79, pp. 58-83
Open Access | Times Cited: 75
Assessment of Deep Learning Techniques for Land Use Land Cover Classification in Southern New Caledonia
Guillaume Rousset, Marc Despinoy, Konrad Schindler, et al.
Remote Sensing (2021) Vol. 13, Iss. 12, pp. 2257-2257
Open Access | Times Cited: 57
Knowledge-graph-based explainable AI: A systematic review
Enayat Rajabi, Kobra Etminani
Journal of Information Science (2022) Vol. 50, Iss. 4, pp. 1019-1029
Open Access | Times Cited: 51
Survey on ontology-based explainable AI in manufacturing
Muhammad Raza Naqvi, Linda Elmhadhbi, Arkopaul Sarkar, et al.
Journal of Intelligent Manufacturing (2024) Vol. 35, Iss. 8, pp. 3605-3627
Closed Access | Times Cited: 9
Guaranteeing Correctness in Black-Box Machine Learning: A Fusion of Explainable AI and Formal Methods for Healthcare Decision-Making
Nadia Khan, Muhammad Nauman, Ahmad Almadhor, et al.
IEEE Access (2024) Vol. 12, pp. 90299-90316
Open Access | Times Cited: 9
Exploring the Landscape of Explainable Artificial Intelligence (XAI): A Systematic Review of Techniques and Applications
Sayda Umma Hamida, Mohammad Jabed Morshed Chowdhury, Narayan Ranjan Chakraborty, et al.
Big Data and Cognitive Computing (2024) Vol. 8, Iss. 11, pp. 149-149
Open Access | Times Cited: 6
Exploring the means to measure explainability: Metrics, heuristics and questionnaires
Hannah Deters, Jakob Droste, Martin Obaidi, et al.
Information and Software Technology (2025), pp. 107682-107682
Closed Access
A graph theoretic approach to assess quality of data for classification task
Payel Sadhukhan, Samrat Gupta
Data & Knowledge Engineering (2025), pp. 102421-102421
Closed Access
The Role of Human Knowledge in Explainable AI
Andrea Tocchetti, Marco Brambilla
Data (2022) Vol. 7, Iss. 7, pp. 93-93
Open Access | Times Cited: 23
A review of domain ontologies for disability representation
Daniele Spoladore, Marco Sacco, Alberto Trombetta
Expert Systems with Applications (2023) Vol. 228, pp. 120467-120467
Closed Access | Times Cited: 15
Neuro-symbolic Artificial Intelligence for Patient Monitoring
Ole Fenske, Sebastian Bader, Thomas Kirste
Communications in computer and information science (2025), pp. 19-25
Closed Access
Advancing Non-Invasive Glucose Prediction with Ontology-Integrated Explainable Ai
Heru Agus Santoso, Nur Setiawati Dewi, Anjar I. Pambudi, et al.
(2025)
Closed Access
User Perception of Ontology-Based Explanations of AI Models
Anton Agafonov, Andrew Ponomarev, Alexander Smirnov
Communications in computer and information science (2025), pp. 396-414
Closed Access
Fuzzy Rule-Based Local Surrogate Models for Black-Box Model Explanation
Xiubin Zhu, Dan Wang, Witold Pedrycz, et al.
IEEE Transactions on Fuzzy Systems (2022) Vol. 31, Iss. 6, pp. 2056-2064
Closed Access | Times Cited: 21
Improving understandability of feature contributions in model-agnostic explainable AI tools
Sophia Hadash, Martijn C. Willemsen, Chris Snijders, et al.
CHI Conference on Human Factors in Computing Systems (2022)
Open Access | Times Cited: 19
CodCAM: A new ensemble visual explanation for classification of medical thermal images
Ahmet Haydar Örnek, Murat Ceylan
Quantitative InfraRed Thermography Journal (2023) Vol. 21, Iss. 3, pp. 131-155
Closed Access | Times Cited: 12
Neuro-Symbolic AI + Agent Systems: A First Reflection on Trends, Opportunities and Challenges
Vaishak Belle, Michael Fisher, Alessandra Russo, et al.
Lecture notes in computer science (2024), pp. 180-200
Closed Access | Times Cited: 3
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