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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:

From Anecdotal Evidence to Quantitative Evaluation Methods: A Systematic Review on Evaluating Explainable AI
Meike Nauta, Jan Trienes, Shreyasi Pathak, et al.
ACM Computing Surveys (2023) Vol. 55, Iss. 13s, pp. 1-42
Open Access | Times Cited: 235

Showing 26-50 of 235 citing articles:

Improving predictive maintenance: Evaluating the impact of preprocessing and model complexity on the effectiveness of eXplainable Artificial Intelligence methods
M. Ndao, Genane Youness, Ndèye Niang, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 144, pp. 110144-110144
Open Access | Times Cited: 1
Is Conversational XAI All You Need? Human-AI Decision Making With a Conversational XAI Assistant
Gaole He, N Aishwarya, Ujwal Gadiraju
(2025), pp. 907-924
Open Access | Times Cited: 1
Sources of Risk of AI Systems
André Steimers, Moritz Schneider
International Journal of Environmental Research and Public Health (2022) Vol. 19, Iss. 6, pp. 3641-3641
Open Access | Times Cited: 35
A Missing Piece in the Puzzle: Considering the Role of Task Complexity in Human-AI Decision Making
Sara Salimzadeh, Gaole He, Ujwal Gadiraju
(2023)
Open Access | Times Cited: 19
eXplainable Artificial Intelligence (XAI) in aging clock models
Alena Kalyakulina, Igor Yusipov, Alexey Moskalev, et al.
Ageing Research Reviews (2023) Vol. 93, pp. 102144-102144
Open Access | Times Cited: 19
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: 8
Evaluating the necessity of the multiple metrics for assessing explainable AI: A critical examination
Marek Pawlicki, Aleksandra Pawlicka, Federica Uccello, et al.
Neurocomputing (2024) Vol. 602, pp. 128282-128282
Open Access | Times Cited: 8
A Systematic Review on Fostering Appropriate Trust in Human-AI Interaction: Trends, Opportunities and Challenges
Siddharth Mehrotra, Chadha Degachi, Oleksandra Vereschak, et al.
ACM Journal on Responsible Computing (2024) Vol. 1, Iss. 4, pp. 1-45
Closed Access | Times Cited: 8
Explainable Artificial Intelligence: Importance, Use Domains, Stages, Output Shapes, and Challenges
Naeem Ullah, Javed Ali Khan, Ivanoe De Falco, et al.
ACM Computing Surveys (2024)
Open Access | Times Cited: 7
How Explainable Is Explainability? Towards Better Metrics for Explainable AI
Aleksandra Pawlicka, Marek Pawlicki, Rafał Kozik, et al.
Springer proceedings in complexity (2024), pp. 685-695
Closed Access | Times Cited: 6
What Does Evaluation of Explainable Artificial Intelligence Actually Tell Us? A Case for Compositional and Contextual Validation of XAI Building Blocks
Kacper Sokol, Julia E. Vogt
(2024), pp. 1-8
Open Access | Times Cited: 6
Towards Directive Explanations: Crafting Explainable AI Systems for Actionable Human-AI Interactions
Aditya Bhattacharya
(2024), pp. 1-6
Open Access | Times Cited: 6
A propagation path-based interpretable neural network model for fault detection and diagnosis in chemical process systems
Benjamin Nguyen, Moncef Chioua
Control Engineering Practice (2024) Vol. 150, pp. 105988-105988
Open Access | Times Cited: 6
Anomaly and intrusion detection using deep learning for software-defined networks: A survey
Vitor Gabriel da Silva Ruffo, Daniel Matheus Brandão Lent, Mateus Komarchesqui, et al.
Expert Systems with Applications (2024) Vol. 256, pp. 124982-124982
Closed Access | Times Cited: 6
The Role of Human Knowledge in Explainable AI
Andrea Tocchetti, Marco Brambilla
Data (2022) Vol. 7, Iss. 7, pp. 93-93
Open Access | Times Cited: 24
Explainable AI: To Reveal the Logic of Black-Box Models
Chinu, Urvashi Bansal
New Generation Computing (2023) Vol. 42, Iss. 1, pp. 53-87
Closed Access | Times Cited: 14
The Blame Problem in Evaluating Local Explanations and How to Tackle It
Amir Hossein Akhavan Rahnama
Communications in computer and information science (2024), pp. 66-86
Closed Access | Times Cited: 5
A Comparative Study and Systematic Analysis of XAI Models and their Applications in Healthcare
Jyoti Gupta, K. R. Seeja
Archives of Computational Methods in Engineering (2024)
Closed Access | Times Cited: 5
Agriculture 5.0 and Explainable AI for Smart Agriculture: A Scoping Review
Abdul Razak, Sumendra Yogarayan, Md Shohel Sayeed, et al.
Emerging Science Journal (2024) Vol. 8, Iss. 2, pp. 744-760
Open Access | Times Cited: 5
Human attention-guided explainable artificial intelligence for computer vision models
Guoyang Liu, Jindi Zhang, Antoni B. Chan, et al.
Neural Networks (2024) Vol. 177, pp. 106392-106392
Open Access | Times Cited: 5
Decoupling Deep Learning for Enhanced Image Recognition Interpretability
Yitao Peng, Lianghua He, Die Hu, et al.
ACM Transactions on Multimedia Computing Communications and Applications (2024) Vol. 20, Iss. 10, pp. 1-24
Closed Access | Times Cited: 5
Explainable artificial intelligence approaches for brain–computer interfaces: a review and design space
Param Rajpura, Hubert Cecotti, Yogesh Kumar Meena
Journal of Neural Engineering (2024) Vol. 21, Iss. 4, pp. 041003-041003
Open Access | Times Cited: 5
Explainable AI in Manufacturing and Industrial Cyber–Physical Systems: A Survey
Sajad Moosavi, Maryam Farajzadeh-Zanjani, Roozbeh Razavi–Far, et al.
Electronics (2024) Vol. 13, Iss. 17, pp. 3497-3497
Open Access | Times Cited: 5
A Comprehensive Survey on Trustworthy Graph Neural Networks: Privacy, Robustness, Fairness, and Explainability
Enyan Dai, Tianxiang Zhao, Huaisheng Zhu, et al.
Deleted Journal (2024)
Open Access | Times Cited: 5
A quantitative approach for the comparison of additive local explanation methods
Emmanuel Doumard, Julien Aligon, Elodie Escriva, et al.
Information Systems (2022) Vol. 114, pp. 102162-102162
Open Access | Times Cited: 22

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