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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:

A Bayesian belief network-based analytics methodology for early-stage risk detection of novel diseases
Kazim Topuz, Behrooz Davazdahemami, Dursun Delen
Annals of Operations Research (2023) Vol. 341, Iss. 1, pp. 673-697
Open Access | Times Cited: 9

Showing 9 citing articles:

Explainable AI for enhanced decision-making
Kristof Coussement, Mohammad Zoynul Abedin, Mathias Kraus, et al.
Decision Support Systems (2024) Vol. 184, pp. 114276-114276
Closed Access | Times Cited: 7
Heterogeneous business network based interpretable competitive firm identification: a graph neural network method
Xiaoqing Ye, Dun Liu, Tianrui Li, et al.
Annals of Operations Research (2025)
Closed Access
An interpretable machine learning framework for enhancing road transportation safety
Ismail Abdulrashid, Wen‐Chyuan Chiang, Jiuh‐Biing Sheu, et al.
Transportation Research Part E Logistics and Transportation Review (2025) Vol. 195, pp. 103969-103969
Closed Access
Understanding cultural stress and mental health among Latinos in the us: probabilistic omnidirectional inference model
Sümeyra Sahbaz, Kazim Topuz, Seth J. Schwartz, et al.
Annals of Operations Research (2025)
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
Factors influencing the incidence of early gastric cancer: a bayesian network analysis
Ruiyu Li, Taiming Yang, Zi Dong, et al.
BMC Gastroenterology (2025) Vol. 25, Iss. 1
Open Access
What makes accidents severe! explainable analytics framework with parameter optimization
Abdulaziz Ahmed, Kazim Topuz, Murad Moqbel, et al.
European Journal of Operational Research (2023) Vol. 317, Iss. 2, pp. 425-436
Closed Access | Times Cited: 11
Predicting undergraduate student evaluations of teaching using probabilistic machine learning: The importance of motivational climate
Brett D. Jones, Kazim Topuz, Sümeyra Sahbaz
Studies In Educational Evaluation (2024) Vol. 81, pp. 101353-101353
Closed Access | Times Cited: 1
Understanding the challenges affecting food-sharing apps’ usage: insights using a text-mining and interpretable machine learning approach
Praveen Puram, Soumya Roy, Anand Gurumurthy
Annals of Operations Research (2024)
Closed Access | Times Cited: 1
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