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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:

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: 124

Showing 1-25 of 124 citing articles:

Explainable AI-driven IoMT fusion: Unravelling techniques, opportunities, and challenges with Explainable AI in healthcare
Niyaz Ahmad Wani, Ravinder Kumar, ­ Mamta, et al.
Information Fusion (2024) Vol. 110, pp. 102472-102472
Closed Access | Times Cited: 23
A Review on Machine Learning Methods for Customer Churn Prediction and Recommendations for Business Practitioners
Awais Manzoor, M. Atif Qureshi, Etain Kidney, et al.
IEEE Access (2024) Vol. 12, pp. 70434-70463
Closed Access | Times Cited: 15
Explainable artificial intelligence: A survey of needs, techniques, applications, and future direction
Melkamu Mersha, Khang Nhứt Lâm, Joseph Wood, et al.
Neurocomputing (2024) Vol. 599, pp. 128111-128111
Closed Access | Times Cited: 14
Rad4XCNN: A new agnostic method for post-hoc global explanation of CNN-derived features by means of radiomics
Francesco Prinzi, Carmelo Militello, Calogero Zarcaro, et al.
Computer Methods and Programs in Biomedicine (2025) Vol. 260, pp. 108576-108576
Open Access | Times Cited: 1
Overlap Number of Balls Model-Agnostic CounterFactuals (ONB-MACF): A data-morphology-based counterfactual generation method for trustworthy artificial intelligence
José Daniel Pascual-Triana, Alberto Fernández, Javier Del Ser, et al.
Information Sciences (2025), pp. 121844-121844
Open Access | Times Cited: 1
Framework for detecting, assessing and mitigating mental health issue in the context of online social networks: a viewpoint paper
Polina Roggendorf, А А Волков
International Journal of Health Governance (2025)
Closed Access | Times Cited: 1
Explainable Generative AI (GenXAI): a survey, conceptualization, and research agenda
Johannes Schneider
Artificial Intelligence Review (2024) Vol. 57, Iss. 11
Open Access | Times Cited: 12
Beyond Traditional Assessment: Exploring the Impact of Large Language Models on Grading Practices
Oluwole Fagbohun, Nwaamaka Pearl Iduwe, Mustapha Abdullahi, et al.
Journal of Artificial Intelligence Machine Learning and Data Science (2024) Vol. 2, Iss. 1, pp. 1-8
Open Access | Times Cited: 9
A review of machine learning (ML) and explainable artificial intelligence (XAI) methods in additive manufacturing (3D Printing)
Jeewanthi Ukwaththa, Sumudu Herath, D.P.P. Meddage
Materials Today Communications (2024) Vol. 41, pp. 110294-110294
Open Access | Times Cited: 9
Advancing tea detection with artificial intelligence: strategies, progress, and future prospects
Qilin Xu, Yifeng Zhou, Linlin Wu
Trends in Food Science & Technology (2024), pp. 104731-104731
Closed Access | Times Cited: 8
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
A Comparative Study on Feature Extraction Techniques for the Discrimination of Frontotemporal Dementia and Alzheimer’s Disease with Electroencephalography in Resting-State Adults
Utkarsh Lal, Arjun Vinayak Chikkankod, Luca Longo
Brain Sciences (2024) Vol. 14, Iss. 4, pp. 335-335
Open Access | Times Cited: 6
The Crucial Role of Interdisciplinary Conferences in Advancing Explainable AI in Healthcare
Ankush Patel, Qiangqiang Gu, Ronda Esper, et al.
BioMedInformatics (2024) Vol. 4, Iss. 2, pp. 1363-1383
Open Access | Times Cited: 6
Unlocking potential of open source model training in decentralized federated learning environment
Ekaterina Pavlova, Grigorii Melnikov, Yury Yanovich, et al.
Blockchain Research and Applications (2025), pp. 100264-100264
Open Access
Fostering effective hybrid human-LLM reasoning and decision making
Andrea Passerini, Aryo Pradipta Gema, Pasquale Minervini, et al.
Frontiers in Artificial Intelligence (2025) Vol. 7
Open Access
Demystifying the Black Box: A Survey on Explainable Artificial Intelligence (XAI) in Bioinformatics
Aishwarya Budhkar, Qianqian Song, Jing Su, et al.
Computational and Structural Biotechnology Journal (2025) Vol. 27, pp. 346-359
Open Access
The explanation dialogues: an expert focus study to understand requirements towards explanations within the GDPR
Laura State, Alejandra Bringas Colmenarejo, Andrea Beretta, et al.
Artificial Intelligence and Law (2025)
Open Access
DSS4EX: A Decision Support System framework to explore Artificial Intelligence pipelines with an application in time series forecasting
Giulia Rinaldi, Konstantinos Theodorakos, Fernando Crema Garcia, et al.
Expert Systems with Applications (2025), pp. 126421-126421
Open Access
Explainable AI in Digestive Healthcare and Gastrointestinal Endoscopy
Miguel Mascarenhas, Francisco Mendes, Miguel Martins, et al.
Journal of Clinical Medicine (2025) Vol. 14, Iss. 2, pp. 549-549
Open Access
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
Overview of basic design recommendations for user-centered explanation interfaces for AI-based clinical decision support systems: A scoping review
Ian-C. Jung, Katharina Schuler, Maria Zerlik, et al.
Digital Health (2025) Vol. 11
Open Access
Feature engineering descriptors, transforms, and machine learning for grain boundaries and variable-sized atom clusters
C. Braxton Owens, Nithin Mathew, Tyce W. Olaveson, et al.
npj Computational Materials (2025) Vol. 11, Iss. 1
Open Access
Advances in Bayesian networks for industrial process analytics: Bridging data and mechanisms
Junhua Zheng, Yue Zhuo, Xiaoyu Jiang, et al.
Expert Systems with Applications (2025) Vol. 271, pp. 126670-126670
Closed Access
A Human-Centered Multiperspective and Interactive Visual Tool For Explainable Machine Learning
Bárbara Gabrielle C. O. Lopes, Liziane Santos Soares, Marcos André Gonçalves, et al.
Journal of the Brazilian Computer Society (2025) Vol. 31, Iss. 1, pp. 11-35
Open Access
Power Transformer Prognostics and Health Management Using Machine Learning: A Review and Future Directions
Ryad Zemouri
Machines (2025) Vol. 13, Iss. 2, pp. 125-125
Open Access
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