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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 Explainable AI: Techniques, challenges and open issues
Adel Abusitta, Miles Q. Li, Benjamin C. M. Fung
Expert Systems with Applications (2024) Vol. 255, pp. 124710-124710
Closed Access | Times Cited: 13

Showing 13 citing articles:

Detection of various gastrointestinal tract diseases through a deep learning method with ensemble ELM and explainable AI
Md. Faysal Ahamed, Md. Nahiduzzaman, Md. Rabiul Islam, et al.
Expert Systems with Applications (2024) Vol. 256, pp. 124908-124908
Open Access | Times Cited: 9
On Explainability of Reinforcement Learning-Based Machine Learning Agents Trained with Proximal Policy Optimization That Utilizes Visual Sensor Data
Tomasz Hachaj, Marcin Piekarczyk
Applied Sciences (2025) Vol. 15, Iss. 2, pp. 538-538
Open Access
Automated and explainable machine learning for monitoring lipid and protein oxidative damage in mutton using hyperspectral imaging
Weiguo Yi, Xingyan Zhao, Xueyan Yun, et al.
Food Research International (2025) Vol. 203, pp. 115905-115905
Closed Access
Clever Hans in the Loop? A Critical Examination of ChatGPT in a Human-in-the-Loop Framework for Machinery Functional Safety Risk Analysis
Padma Iyenghar
Eng—Advances in Engineering (2025) Vol. 6, Iss. 2, pp. 31-31
Open Access
Holding AI-Based Systems Accountable in the Public Sector: A Systematic Review
Qianli Yuan, Tzuhao Chen
Public Performance & Management Review (2025), pp. 1-34
Closed Access
Enhancing explainability in real-world scenarios: Towards a robust stability measure for local interpretability
Eduardo Sepúlveda, Félix Vandervorst, Bart Baesens, et al.
Expert Systems with Applications (2025) Vol. 274, pp. 126922-126922
Closed Access
Local Universal Rule-based eXplainer (LUX)
Szymon Bobek, Grzegorz J. Nalepa
SoftwareX (2025) Vol. 30, pp. 102102-102102
Closed Access
Trustworthy Artificial Intelligence for Industrial Operations and Manufacturing: Principles and Challenges
Md Alamgir Kabir, M. M. Manjurul Islam, Narayan Ranjan Chakraborty, et al.
Springer series in advanced manufacturing (2025), pp. 179-197
Closed Access
Outsmarting algorithms: A comparative battle between Reinforcement Learning and heuristics in Atari Tetris
Julius A. Bairaktaris, Arne Johannssen
Expert Systems with Applications (2025), pp. 127251-127251
Open Access
Research overview and prospect in condition monitoring of compressors
Anil Kumar
Expert Systems with Applications (2025), pp. 127284-127284
Closed Access
Machine learning approach for analyzing feature importance in alternative fuel vehicle selection
Mi‐Na Kim, Hyunhong Choi, Yoon‐Mo Koo
Travel Behaviour and Society (2025) Vol. 39, pp. 100987-100987
Closed Access
AI-Driven Design Optimization for Sustainable Buildings: A Systematic Review
Piragash Manmatharasan, Girma Bitsuamlak, Katarina Grolinger
Energy and Buildings (2025), pp. 115440-115440
Open Access
The paradigm of digital health: AI applications and transformative trends
Zubia Rashid, Hania Ahmed, Neha Nadeem, et al.
Neural Computing and Applications (2025)
Closed Access
An interpretable data analytics-based energy benchmarking process for supporting retrofit decisions in large residential building stocks
Marco Savino Piscitelli, Giuseppe Razzano, Giacomo Buscemi, et al.
Energy and Buildings (2024), pp. 115115-115115
Open Access | Times Cited: 2
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
Fair XIDS: Ensuring fairness and transparency in intrusion detection models
Chinu, Urvashi Bansal
Concurrency and Computation Practice and Experience (2024) Vol. 36, Iss. 25
Open Access
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