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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:

An objective metric for Explainable AI: How and why to estimate the degree of explainability
Francesco Sovrano, Fabio Vitali
Knowledge-Based Systems (2023) Vol. 278, pp. 110866-110866
Open Access | Times Cited: 20

Showing 20 citing articles:

Unravelling the Impact of Generative Artificial Intelligence (GAI) in Industrial Applications: A Review of Scientific and Grey Literature
Arpan Kumar Kar, P. S. Varsha, Shivakami Rajan
Global Journal of Flexible Systems Management (2023) Vol. 24, Iss. 4, pp. 659-689
Closed Access | Times Cited: 82
FUTURE-AI: international consensus guideline for trustworthy and deployable artificial intelligence in healthcare
Karim Lekadir, Alejandro F. Frangi, Antonio R. Porras, et al.
BMJ (2025), pp. e081554-e081554
Open Access | Times Cited: 6
Leveraging explainable AI for informed building retrofit decisions: Insights from a survey
Daniel Leuthe, Jonas Mirlach, Simon Wenninger, et al.
Energy and Buildings (2024) Vol. 318, pp. 114426-114426
Open Access | Times Cited: 5
Heterogeneous subgraph network with prompt learning for interpretable depression detection on social media
Chen Chen, Fenghuan Li, Haopeng Chen, et al.
Knowledge-Based Systems (2025), pp. 113215-113215
Open Access
AI in Government: A Study on Explainability of High-Risk AI-Systems in Law Enforcement and Police Service
Fabian Walke, Lars Bennek, Till J. Winkler
Lecture notes in information systems and organisation (2025), pp. 393-407
Closed Access
Proceedings of the 46th International Conference on Software Engineering: Software Engineering in Society

(2024)
Open Access | Times Cited: 4
A Systematic Literature Review of the Latest Advancements in XAI
Zaid M. Altukhi, Sojen Pradhan, Nasser Aljohani
Technologies (2025) Vol. 13, Iss. 3, pp. 93-93
Open Access
Improving explainable AI interpretability with mathematical models for evaluating explanation methods
P. Nancy Ambritta, Parkshit N. Mahalle, Haribhau R. Bhapkar, et al.
International Journal of Information Technology (2025)
Closed Access
Explainable artificial intelligence for LDL cholesterol prediction and classification
Sevilay Sezer, Ali Öter, Betül Ersöz, et al.
Clinical Biochemistry (2024) Vol. 130, pp. 110791-110791
Closed Access | Times Cited: 3
The Use of eXplainable Artificial Intelligence and Machine Learning Operation Principles to Support the Continuous Development of Machine Learning-Based Solutions in Fault Detection and Identification
Tuan-anh Tran, Tamás Ruppert, János Abonyi
Computers (2024) Vol. 13, Iss. 10, pp. 252-252
Open Access | Times Cited: 2
Predicting ICU Interventions: A Transparent Decision Support Model Based on Multivariate Time Series Graph Convolutional Neural Network
Zhen Xu, Jinjin Guo, Lang Qin, et al.
IEEE Journal of Biomedical and Health Informatics (2024) Vol. 28, Iss. 6, pp. 3709-3720
Closed Access | Times Cited: 1
PERform: assessing model performance with predictivity and explainability readiness formula
Leihong Wu, Joshua Xu, Weida Tong
Journal of Environmental Science and Health Part C (2024) Vol. 42, Iss. 4, pp. 298-313
Closed Access | Times Cited: 1
An Empirical Study on Compliance with Ranking Transparency in the Software Documentation of EU Online Platforms
Francesco Sovrano, Michaël Lognoul, Alberto Bacchelli
(2024), pp. 46-56
Open Access | Times Cited: 1
How Does Cost Leadership Strategy Suppress the Performance Benefits of Explainability of AI Applications in Organizations?
Jason Talaei, Alan Yang, Tolkyn Takishova, et al.
Journal of Global Information Management (2024) Vol. 32, Iss. 1, pp. 1-23
Open Access | Times Cited: 1
How is Artificial Intelligence Changing Science?
Leo E. Deelman
(2023), pp. 1-4
Closed Access | Times Cited: 2
Regulating Explainability in Machine Learning Applications -- Observations from a Policy Design Experiment
Nadia Nahar, Jenny Rowlett, Matthew Bray, et al.
2022 ACM Conference on Fairness, Accountability, and Transparency (2024) Vol. 23, pp. 2101-2112
Open Access
On the Explainability of Financial Robo-Advice Systems
Giulia Vilone, Francesco Sovrano, Michaël Lognoul
Communications in computer and information science (2024), pp. 219-242
Closed Access
Explainable Fraud Detection with Deep Symbolic Classification
Samantha Visbeek, Erman Acar, Floris den Hengst
Communications in computer and information science (2024), pp. 350-373
Closed Access
Quantifying decision support level of explainable automatic classification of diagnoses in Spanish medical records
Nuria Lebeña, Alicia Pérez, Arantza Casillas
Computers in Biology and Medicine (2024) Vol. 182, pp. 109127-109127
Open Access
A context-aware decision support system for selecting explainable artificial intelligence methods in business organizations
Marcelo Índio dos Reis, João N.C. Gonçalves, Paulo Cortez, et al.
Computers in Industry (2024) Vol. 165, pp. 104233-104233
Closed Access
Quantification of Explainability in Black Box Models using Complexity Measures
Ngozi Nneke, Huw Lloyd, Keeley Crockett
(2023), pp. 85-92
Open Access | Times Cited: 1
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