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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 1-25 of 235 citing articles:

Explainable Artificial Intelligence (XAI): What we know and what is left to attain Trustworthy Artificial Intelligence
Sajid Ali, Tamer Abuhmed, Shaker El–Sappagh, et al.
Information Fusion (2023) Vol. 99, pp. 101805-101805
Open Access | Times Cited: 640
Survey of Explainable AI Techniques in Healthcare
Ahmad Chaddad, Jihao Peng, Jian Xu, et al.
Sensors (2023) Vol. 23, Iss. 2, pp. 634-634
Open Access | Times Cited: 275
Explainable Artificial Intelligence (XAI) 2.0: A manifesto of open challenges and interdisciplinary research directions
Luca Longo, Mario Brčić, Federico Cabitza, et al.
Information Fusion (2024) Vol. 106, pp. 102301-102301
Open Access | Times Cited: 141
Interpretable and explainable machine learning: A methods‐centric overview with concrete examples
Ričards Marcinkevičs, Julia E. Vogt
Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery (2023) Vol. 13, Iss. 3
Open Access | Times Cited: 73
Explaining deep neural networks: A survey on the global interpretation methods
Rabia Saleem, Bo Yuan, Fatih Kurugöllü, et al.
Neurocomputing (2022) Vol. 513, pp. 165-180
Open Access | Times Cited: 70
Towards Human-Centered Explainable AI: A Survey of User Studies for Model Explanations
Yao Rong, Tobias Leemann, Thai-trang Nguyen, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2023) Vol. 46, Iss. 4, pp. 2104-2122
Open Access | Times Cited: 67
Post-hoc vs ante-hoc explanations: xAI design guidelines for data scientists
Carl Orge Retzlaff, Alessa Angerschmid, Anna Saranti, et al.
Cognitive Systems Research (2024) Vol. 86, pp. 101243-101243
Open Access | Times Cited: 41
Adversarial attacks and defenses in explainable artificial intelligence: A survey
Hubert Baniecki, Przemysław Biecek
Information Fusion (2024) Vol. 107, pp. 102303-102303
Open Access | Times Cited: 39
Human-in-the-Loop Reinforcement Learning: A Survey and Position on Requirements, Challenges, and Opportunities
Carl Orge Retzlaff, Srijita Das, Christabel Wayllace, et al.
Journal of Artificial Intelligence Research (2024) Vol. 79, pp. 359-415
Open Access | Times Cited: 33
How Interpretable Machine Learning Can Benefit Process Understanding in the Geosciences
Shijie Jiang, Lily‐belle Sweet, Georgios Blougouras, et al.
Earth s Future (2024) Vol. 12, Iss. 7
Open Access | Times Cited: 29
Shaping the future of AI in healthcare through ethics and governance
Rabaï Bouderhem
Humanities and Social Sciences Communications (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 25
Explainable AI approaches in deep learning: Advancements, applications and challenges
Md. Tanzib Hosain, Jamin Rahman Jim, M. F. Mridha, et al.
Computers & Electrical Engineering (2024) Vol. 117, pp. 109246-109246
Closed Access | Times Cited: 24
Explainable Predictive Maintenance: A Survey of Current Methods, Challenges and Opportunities
Logan Cummins, Alexander Sommers, Somayeh Bakhtiari Ramezani, et al.
IEEE Access (2024) Vol. 12, pp. 57574-57602
Open Access | Times Cited: 21
Interpretability Research of Deep Learning: A Literature Survey
Biao Xu, Guanci Yang
Information Fusion (2024) Vol. 115, pp. 102721-102721
Closed Access | Times Cited: 17
FUTURE-AI: international consensus guideline for trustworthy and deployable artificial intelligence in healthcare
Karim Lekadir, Alejandro F. Frangi, Antonio R. Porras, et al.
BMJ (2025), pp. e081554-e081554
Open Access | Times Cited: 11
PIP-Net: Patch-Based Intuitive Prototypes for Interpretable Image Classification
Meike Nauta, Jörg Schlötterer, Maurice van Keulen, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023) Vol. 80, pp. 2744-2753
Open Access | Times Cited: 33
Enhancing radiomics and Deep Learning systems through the standardization of medical imaging workflows
Miriam Cobo, Pablo Menéndez Fernández‐Miranda, Gorka Bastarrika, et al.
Scientific Data (2023) Vol. 10, Iss. 1
Open Access | Times Cited: 31
Deep learning for autosegmentation for radiotherapy treatment planning: State-of-the-art and novel perspectives
Ayhan Can Erdur, Daniel Rusche, Daniel Scholz, et al.
Strahlentherapie und Onkologie (2024)
Open Access | Times Cited: 13
A survey of explainable AI techniques for detection of fake news and hate speech on social media platforms
Vaishali U. Gongane, Mousami V. Munot, Alwin Anuse
Journal of Computational Social Science (2024) Vol. 7, Iss. 1, pp. 587-623
Closed Access | Times Cited: 11
Dealing with Uncertainty: Understanding the Impact of Prognostic Versus Diagnostic Tasks on Trust and Reliance in Human-AI Decision Making
Sara Salimzadeh, Gaole He, Ujwal Gadiraju
(2024), pp. 1-17
Open Access | Times Cited: 11
Self‐regulation and shared regulation in collaborative learning in adaptive digital learning environments: A systematic review of empirical studies
Kshitij Sharma, Andy Nguyen, Yvonne Hong
British Journal of Educational Technology (2024) Vol. 55, Iss. 4, pp. 1398-1436
Open Access | Times Cited: 10
Systematic comparison of 3D Deep learning and classical machine learning explanations for Alzheimer’s Disease detection
Louise Bloch, Christoph M. Friedrich
Computers in Biology and Medicine (2024) Vol. 170, pp. 108029-108029
Open Access | Times Cited: 9
PIPNet3D: Interpretable Detection of Alzheimer in MRI Scans
Lisa Anita De Santi, Jörg Schlötterer, Michael Scheschenja, et al.
Lecture notes in computer science (2025), pp. 69-78
Closed Access | Times Cited: 1
Evaluating the effectiveness of XAI techniques for encoder-based language models
Melkamu Mersha, Mesay Gemeda Yigezu, Jugal Kalita
Knowledge-Based Systems (2025) Vol. 310, pp. 113042-113042
Closed Access | Times Cited: 1
Explainable vision transformer for automatic visual sleep staging on multimodal PSG signals
Hyojin Lee, You Rim Choi, Hyun Kyung Lee, et al.
npj Digital Medicine (2025) Vol. 8, Iss. 1
Open Access | Times Cited: 1
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