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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:

Explaining black-box classifiers using post-hoc explanations-by-example: The effect of explanations and error-rates in XAI user studies
Eoin M. Kenny, Courtney Ford, Molly S. Quinn, et al.
Artificial Intelligence (2021) Vol. 294, pp. 103459-103459
Open Access | Times Cited: 162

Showing 26-50 of 162 citing articles:

Explainable Artificial Intelligence Improves Human Decision-Making: Results from a Mushroom Picking Experiment at a Public Art Festival
Benedikt Leichtmann, Andreas Hinterreiter, Christina Humer, et al.
International Journal of Human-Computer Interaction (2023) Vol. 40, Iss. 17, pp. 4787-4804
Open Access | Times Cited: 18
Ensemble learning based transmission line fault classification using phasor measurement unit (PMU) data with explainable AI (XAI)
S Akter, Tanmoy Sarkar Pias, Shohana Rahman Deeba, et al.
PLoS ONE (2024) Vol. 19, Iss. 2, pp. e0295144-e0295144
Open Access | Times Cited: 7
An interpretable deep learning based approach for chronic obstructive pulmonary disease using explainable artificial intelligence
Lobna M. Abouelmagd, Ghada Dahy, Tamer Ahmed Farrag, et al.
International Journal of Information Technology (2024)
Closed Access | Times Cited: 7
EXplainable Artificial Intelligence (XAI) for facilitating recognition of algorithmic bias: An experiment from imposed users’ perspectives
Ching‐Hua Chuan, Ruoyu Sun, Shiyun Tian, et al.
Telematics and Informatics (2024) Vol. 91, pp. 102135-102135
Open Access | Times Cited: 6
Unlocking the black box: an in-depth review on interpretability, explainability, and reliability in deep learning
Emrullah Şahin, Naciye Nur Arslan, Durmuş Özdemir
Neural Computing and Applications (2024)
Closed Access | Times Cited: 6
Fake News Spreaders Detection: Sometimes Attention Is Not All You Need
Marco Siino, Elisa Di Nuovo, Ilenia Tinnirello, et al.
Information (2022) Vol. 13, Iss. 9, pp. 426-426
Open Access | Times Cited: 23
New XAI tools for selecting suitable 3D printing facilities in ubiquitous manufacturing
Yu-Cheng Wang, Toly Chen
Complex & Intelligent Systems (2023) Vol. 9, Iss. 6, pp. 6813-6829
Open Access | Times Cited: 15
Supporting High-Uncertainty Decisions through AI and Logic-Style Explanations
Federico Maria Cau, Hanna Hauptmann, Lucio Davide Spano, et al.
(2023)
Open Access | Times Cited: 14
On the evaluation of the symbolic knowledge extracted from black boxes
Federico Sabbatini, Roberta Calegari
AI and Ethics (2024) Vol. 4, Iss. 1, pp. 65-74
Closed Access | Times Cited: 5
How consumers respond to service failures caused by algorithmic mistakes: The role of algorithmic interpretability
Changdong Chen
Journal of Business Research (2024) Vol. 176, pp. 114610-114610
Closed Access | Times Cited: 5
Explainable AI and Stakes in Medicine: A User Study
Sam Baron, Andrew J. Latham, Somogy Varga
Artificial Intelligence (2025), pp. 104282-104282
Open Access
Predictive Modeling of Pesticides Reproductive Toxicity in Earthworms Using Interpretable Machine-Learning Techniques on Imbalanced Data
Mihkel Kotli, Geven Piir, Uko Maran
ACS Omega (2025)
Open Access
Coupled SWAT, Stationary Wavelet Transform, and Interpretable Machine Learning to Improve Watershed Streamflow Simulation
Chengqing Ren, Jianxia Chang, Xuebin Wang, et al.
Water Resources Management (2025)
Closed Access
Evolving adaptive and interpretable decision trees for cooperative submarine search
Yang Gao, Yue Wang, Lingyun Tian, et al.
Defence Technology (2025)
Open Access
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
A novel application with explainable machine learning (SHAP and LIME) to predict soil N, P, and K nutrient content in cabbage cultivation
Thilina Abekoon, Hirushan Sajindra, Namal Rathnayake, et al.
Smart Agricultural Technology (2025), pp. 100879-100879
Open Access
Concept of Understandable Diagnostic Cause Visualization with Explainable AI and Multilevel Flow Modeling
Ji Hyeon Shin, Jung Sung Kang, Jae‐Min Kim, et al.
Nuclear Engineering and Technology (2025), pp. 103589-103589
Open Access
How Do ML Students Explain Their Models and What Can We Learn from This?
Ulrik Franke
Lecture notes in business information processing (2025), pp. 351-365
Closed Access
Explaining the unexplainable: data sharing and privacy in Web 3.0
Jieun Shim, Jieun Kim
TalTech journal of European studies/TalTech journal of European studies. (2025) Vol. 15, Iss. 1, pp. 135-154
Open Access
Service Process Modeling in Practice: A Case Study in an Automotive Repair Service Provider
Aurel Mihail Țîțu, Daniel Grecu, Alina Bianca Pop, et al.
Applied Sciences (2025) Vol. 15, Iss. 8, pp. 4171-4171
Open Access
Explainable artificial intelligence, lawyer's perspective
Łukasz Górski, Shashishekar Ramakrishna
(2021), pp. 60-68
Closed Access | Times Cited: 27
Explaining Deep Learning using examples: Optimal feature weighting methods for twin systems using post-hoc, explanation-by-example in XAI
Eoin M. Kenny, Mark T. Keane
Knowledge-Based Systems (2021) Vol. 233, pp. 107530-107530
Open Access | Times Cited: 27
Counterfactual Explanations for Prediction and Diagnosis in XAI
Xinyue Dai, Mark T. Keane, L. Shalloo, et al.
(2022), pp. 215-226
Open Access | Times Cited: 20
Understanding imbalanced data: XAI & interpretable ML framework
Damien Dablain, Colin Bellinger, Bartosz Krawczyk, et al.
Machine Learning (2024) Vol. 113, Iss. 6, pp. 3751-3769
Open Access | Times Cited: 4
User‐Centered Evaluation of Explainable Artificial Intelligence (XAI): A Systematic Literature Review
Noor Al-Ansari, Dena Al-Thani, Reem S. Al-Mansoori
Human Behavior and Emerging Technologies (2024) Vol. 2024, Iss. 1
Open Access | Times Cited: 4

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