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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:

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: 10

Showing 10 citing articles:

Shapley-based explainable AI for clustering applications in fault diagnosis and prognosis
Joseph Cohen, Xun Huan, Jun Ni
Journal of Intelligent Manufacturing (2024) Vol. 35, Iss. 8, pp. 4071-4086
Closed Access | Times Cited: 9
Combining ChatGPT and knowledge graph for explainable machine learning-driven design: a case study
Xin Hu, Ang Liu, Yun Dai
Journal of Engineering Design (2024), pp. 1-23
Open Access | Times Cited: 7
Manufacturing Commonsense Knowledge
Muhammad Raza Naqvi, Arkopaul Sarkar, Farhad Ameri, et al.
Lecture notes in computer science (2025), pp. 320-333
Closed Access
A planning and execution framework for robotic assembly with deformable objects using a centralized database based on the Rαβγ categorization
Ran Shneor, Gali Naveh, Shir Ben-David, et al.
Journal of Intelligent Manufacturing (2025)
Open Access
Automated processing of eXplainable Artificial Intelligence outputs in deep learning models for fault diagnostics of large infrastructures
Giovanni Floreale, Piero Baraldi, Enrico Zio, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 149, pp. 110518-110518
Open Access
Advances in fault detection techniques for automated manufacturing systems in industry 4.0
Yassmin Seid Ahmed, Abba Abdulhamid Abubakar, Abul Fazal M. Arif, et al.
Frontiers in Mechanical Engineering (2025) Vol. 11
Open Access
Machine learning-enabled real-time anomaly detection for electron beam powder bed fusion additive manufacturing
Davide Cannizzaro, Paolo Antonioni, Francesco Ponzio, et al.
Journal of Intelligent Manufacturing (2024)
Open Access | Times Cited: 3
Editorial for the special issue: AI and data-driven decisions in manufacturing
Alexandre Dolgui, Hichem Haddou Benderbal, Fabio Sgarbossa, et al.
Journal of Intelligent Manufacturing (2024) Vol. 35, Iss. 8, pp. 3599-3604
Closed Access | Times Cited: 1
A Review of Explainable Recommender Systems Utilizing Knowledge Graphs and Reinforcement Learning
Neeraj Tiwary, Shahrul Azman Mohd Noah, Fariza Fauzi, et al.
IEEE Access (2024) Vol. 12, pp. 91999-92019
Open Access
Digital Assistance Systems to Implement Machine Learning in Manufacturing: A Systematic Review
Jannik Rosemeyer, Marta Pinzone, Joachim Metternich
Machine Learning and Knowledge Extraction (2024) Vol. 6, Iss. 4, pp. 2808-2828
Open Access
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