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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:

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: 38

Showing 1-25 of 38 citing articles:

Exploring the Unseen: A Survey of Multi-Sensor Fusion and the Role of Explainable AI (XAI) in Autonomous Vehicles
De Jong Yeong, Krishna Panduru, J. L. Walsh
Sensors (2025) Vol. 25, Iss. 3, pp. 856-856
Open Access | Times Cited: 1
Is Human Oversight to AI Systems still possible?
Andreas Holzinger, Kurt Zatloukal, Heimo Müller
New Biotechnology (2024)
Open Access | Times Cited: 7
Class imbalance in multi-resident activity recognition: an evaluative study on explainability of deep learning approaches
Deepika Singh, Erinç Merdivan, Johannes Kropf, et al.
Universal Access in the Information Society (2024)
Open Access | Times Cited: 6
A Practical tutorial on Explainable AI Techniques
Adrien Bennetot, Ivan Donadello, A. Haouari, et al.
ACM Computing Surveys (2024) Vol. 57, Iss. 2, pp. 1-44
Open Access | Times Cited: 5
From human-centered to symbiotic artificial intelligence: a focus on medical applications
Giuseppe Desolda, Andrea Esposito, Rosa Lanzilotti, et al.
Multimedia Tools and Applications (2024)
Open Access | Times Cited: 4
Exploring how base model combination affects the results of a “stacking” ensemble machine learning model: An applied study on optimization of heteroatom doped carbon data
Krittapong Deshsorn, Weekit Sirisaksoontorn, Wisit Hirunpinyopas, et al.
FlatChem (2025) Vol. 50, pp. 100827-100827
Closed Access
Heterogeneous feature fusion based machine learning strategy for ECG diagnosis
Ren He, Qi Sun, Zhengguang Xiao, et al.
Expert Systems with Applications (2025), pp. 126714-126714
Closed Access
Improving Crowdfunding Decisions Using Explainable Artificial Intelligence
Andreas Gregoriades, Christos Themistocleous
Sustainability (2025) Vol. 17, Iss. 4, pp. 1361-1361
Open Access
Recent Emerging Techniques in Explainable Artificial Intelligence to Enhance the Interpretable and Understanding of AI Models for Human
Daniel J. Mathew, Deborah Ebem, Anayo Chukwu Ikegwu, et al.
Neural Processing Letters (2025) Vol. 57, Iss. 1
Open Access
How do people react to ChatGPT's unpredictable behavior? Anthropomorphism, uncanniness, and fear of AI: A qualitative study on individuals’ perceptions and understandings of LLMs’ nonsensical hallucinations
Amon Rapp, Chiara Di Lodovico, Luigi Di
International Journal of Human-Computer Studies (2025), pp. 103471-103471
Open Access
Easing the cognitive load of general practitioners: AI design principles for future-ready healthcare
Shoon Chan Hor, Lee Lai Fong, Katie Wynne, et al.
Technovation (2025) Vol. 142, pp. 103208-103208
Open Access
LIMETREE: Consistent and Faithful Surrogate Explanations of Multiple Classes
Kacper Sokol, Peter Flach
Electronics (2025) Vol. 14, Iss. 5, pp. 929-929
Open Access
Optimising centralisation in distribution networks for perishable products through mathematical modelling, parametric analysis, and machine learning
Alessandra Cantini, Leonardo Leoni, Saverio Ferraro, et al.
International Journal of Production Research (2025), pp. 1-28
Closed Access
Explainable Graph Neural Networks to Identify Potential Atoms and Chemical Bonds of Drug Candidates from Drug Target Interactions
S. Mohanty, Chandra Mohan Dasari
Lecture notes in computer science (2025), pp. 315-325
Closed Access
Towards unveiling sensitive and decisive patterns in explainable AI with a case study in geometric deep learning
Jiajun Zhu, Siqi Miao, Rex Ying, et al.
Nature Machine Intelligence (2025)
Closed Access
Automatic Detection of Equatorial Plasma Bubbles in Airglow Images Using Two-Dimensional Principal Component Analysis and Explainable Artificial Intelligence
Moheb Yacoub, Moataz M. Abdelwahab, K. Shiokawa, et al.
Machine Learning and Knowledge Extraction (2025) Vol. 7, Iss. 1, pp. 26-26
Open Access
Explainable Artificial Intelligence (XAI) in glaucoma assessment: Advancing the frontiers of machine learning algorithms
Sonia Farhana Nimmy, Omar Khadeer Hussain, Ripon K. Chakrabortty, et al.
Knowledge-Based Systems (2025), pp. 113333-113333
Closed Access
Boosting Dual Quality detection with AI-based social media analysis
M. Brzeziński, Maciej Niemir, Krzysztof Muszyński, et al.
Information Processing & Management (2025) Vol. 62, Iss. 4, pp. 104138-104138
Closed Access
What Is the Role of Explainability in Medical Artificial Intelligence? A Case-Based Approach
Elisabeth Hildt
Bioengineering (2025) Vol. 12, Iss. 4, pp. 375-375
Open Access
Explainable artificial intelligence for energy systems maintenance: A review on concepts, current techniques, challenges, and prospects
Mohammad Reza Shadi, Hamid Mirshekali, Hamid Reza Shaker
Renewable and Sustainable Energy Reviews (2025) Vol. 216, pp. 115668-115668
Open Access
Explainable AI Framework for Software Defect Prediction
Bahar Gezici, Ayça Tarhan
Journal of Software Evolution and Process (2025) Vol. 37, Iss. 4
Closed Access
Neurodegenerative disorders: A Holistic study of the explainable artificial intelligence applications
Hongyuan Wang, Shiva Toumaj, Arash Heidari, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 153, pp. 110752-110752
Open Access
A comparative analysis of DNN-based white-box explainable AI methods in network security
Osvaldo Arreche, Mustafa Abdallah
EURASIP Journal on Information Security (2025) Vol. 2025, Iss. 1
Open Access
Predicting and optimizing forward osmosis membrane operation using machine learning
Mita Nurhayati, Kwanho Jeong, H Lee, et al.
Desalination (2024), pp. 118154-118154
Closed Access | Times Cited: 3
Explainable deep learning on multi-target time series forecasting: an air pollution use case
M. J. Jiménez-Navarro, Mario Lovrić, Simonas Kecorius, et al.
Results in Engineering (2024) Vol. 24, pp. 103290-103290
Open Access | Times Cited: 2
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