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 Overview of Explainable AI Methods, Forms and Frameworks
Dheeraj Kumar, Mayuri A. Mehta
Intelligent systems reference library (2022), pp. 43-59
Closed Access | Times Cited: 10

Showing 10 citing articles:

Explainable Artificial Intelligence in Alzheimer’s Disease Classification: A Systematic Review
Vimbi Viswan, Noushath Shaffi, Mufti Mahmud, et al.
Cognitive Computation (2023) Vol. 16, Iss. 1, pp. 1-44
Open Access | Times Cited: 42

Computer-aided cholelithiasis diagnosis using explainable convolutional neural network
Dheeraj Kumar, Mayuri A. Mehta, Ketan Kotecha, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access

Explainable AI Through Decision Trees for Black-Box Models Used to Support Bacterial Vaginosis Diagnosis
Rafael Rivera-López, Juana Canul-Reich, Erick de la Cruz Hernández, et al.
Lecture notes in computer science (2025), pp. 179-189
Closed Access

The ethical requirement of explainability for AI-DSS in healthcare: a systematic review of reasons
Nils Freyer, Dominik Groß, Myriam Lipprandt
BMC Medical Ethics (2024) Vol. 25, Iss. 1
Open Access | Times Cited: 3

Application of Explainable Artificial Intelligence in Alzheimer's Disease Classification: A Systematic Review
Vimbi Viswan, Noushath Shaffi, Mufti Mahmud, et al.
Research Square (Research Square) (2023)
Open Access | Times Cited: 6

Enhancing User Trust and Interpretability in AI-Driven Feature Request Detection for Mobile App Reviews: An Explainable Approach
Ishaya Gambo, Rhodes Massenon, Chia‐Chen Lin, et al.
IEEE Access (2024) Vol. 12, pp. 114023-114045
Open Access | Times Cited: 1

User Satisfaction and Trust of AI Explanations in Threat Intelligence Analysis: Implications for Acceptance and Usability

International Research Journal of Modernization in Engineering Technology and Science (2024)
Open Access

The Role of Explainable AI in Enhancing Threat Intelligence Analysis in Cybersecurity Operations

International Research Journal of Modernization in Engineering Technology and Science (2024)
Open Access

Interpretable AI for Decision Support for Mobility Changes of Older Adults
Björn Friedrich, Lena Elgert, Daniel Eckhoff, et al.
(2024) Vol. 15, pp. 1-11
Closed Access

Classification of Mental Stress Using an Explainable Machine Learning Approach
Fatima Zohra Boulanouar, Mhd. Wasim Raed, İlham Hüseyinov, et al.
Lecture notes in networks and systems (2024), pp. 245-255
Closed Access

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