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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:

Overview of Explainable Artificial Intelligence for Prognostic and Health Management of Industrial Assets Based on Preferred Reporting Items for Systematic Reviews and Meta-Analyses
Ahmad Kamal Mohd Nor, Srinivasa Rao Pedapati, Masdi Muhammad, et al.
Sensors (2021) Vol. 21, Iss. 23, pp. 8020-8020
Open Access | Times Cited: 52

Showing 1-25 of 52 citing articles:

A systematic review of Explainable Artificial Intelligence models and applications: Recent developments and future trends
A. Saranya, R. Subhashini
Decision Analytics Journal (2023) Vol. 7, pp. 100230-100230
Open Access | Times Cited: 182
Artificial Intelligence for Predictive Maintenance Applications: Key Components, Trustworthiness, and Future Trends
Ayşegül Uçar, Mehmet Karaköse, Necim Kırımça
Applied Sciences (2024) Vol. 14, Iss. 2, pp. 898-898
Open Access | Times Cited: 55
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: 16
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: 15
Artificial intelligence and blockchain in clinical trials: enhancing data governance efficiency, integrity, and transparency
Víctor Leiva, Cecília Castro
Bioanalysis (2025), pp. 1-16
Closed Access | Times Cited: 1
Designing explainable AI to improve human-AI team performance: A medical stakeholder-driven scoping review
Harishankar Vasudevanallur Subramanian, Casey Canfield, Daniel B. Shank
Artificial Intelligence in Medicine (2024) Vol. 149, pp. 102780-102780
Open Access | Times Cited: 11
Addressing a decision problem through a bipolar Pythagorean fuzzy approach: A novel methodology applied to digital marketing
Vishalakshi Kuppusamy, Maragathavalli Shanmugasundaram, Prasantha Bharathi Dhandapani, et al.
Heliyon (2024) Vol. 10, Iss. 3, pp. e23991-e23991
Open Access | Times Cited: 9
Revolutionizing Drug Discovery With Artificial Intelligence
Ranjit Barua, Deepanjan Das, Nirmalendu Biswas
Advances in medical technologies and clinical practice book series (2024), pp. 62-85
Closed Access | Times Cited: 9
Improving the prediction of biochar production from various biomass sources through the implementation of eXplainable machine learning approaches
Van Giao Nguyen, Prabhakar Sharma, Ümit Ağbulut, et al.
International Journal of Green Energy (2024) Vol. 21, Iss. 12, pp. 2771-2798
Closed Access | Times Cited: 8
Review of rotating machinery elements condition monitoring using acoustic emission signal
Pradeep Kundu
Expert Systems with Applications (2024) Vol. 252, pp. 124169-124169
Closed Access | Times Cited: 8
Convolutional Neural Network-Based Pattern Recognition of Partial Discharge in High-Speed Electric-Multiple-Unit Cable Termination
Chuanming Sun, Guangning Wu, Guixiang Pan, et al.
Sensors (2024) Vol. 24, Iss. 8, pp. 2660-2660
Open Access | Times Cited: 7
Towards roadmap to implement blockchain in healthcare systems based on a maturity model
Muhammad Azeem Akbar, Víctor Leiva, Saima Rafi, et al.
Journal of Software Evolution and Process (2022) Vol. 34, Iss. 12
Open Access | Times Cited: 30
Abnormality Detection and Failure Prediction Using Explainable Bayesian Deep Learning: Methodology and Case Study with Industrial Data
Ahmad Kamal Mohd Nor, Srinivasa Rao Pedapati, Masdi Muhammad, et al.
Mathematics (2022) Vol. 10, Iss. 4, pp. 554-554
Open Access | Times Cited: 29
Classifying COVID-19 based on amino acids encoding with machine learning algorithms
Walaa Alkady, Khaled El-Bahnasy, Víctor Leiva, et al.
Chemometrics and Intelligent Laboratory Systems (2022) Vol. 224, pp. 104535-104535
Open Access | Times Cited: 28
An Interrogative Survey of Explainable AI in Manufacturing
Zoë Alexander, Duen Horng Chau, Christopher Saldaña
IEEE Transactions on Industrial Informatics (2024) Vol. 20, Iss. 5, pp. 7069-7081
Closed Access | Times Cited: 6
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
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: 5
Counterfactual explanations for remaining useful life estimation within a Bayesian framework
Jilles Andringa, Márcia Baptista, Bruno F. Santos
Information Fusion (2025), pp. 102972-102972
Open Access
Explainable Artificial Intelligence and Responsible Artificial Intelligence for Dentistry
Tamanna Rai, Rishabha Malviya, Sathvik Belagodu Sridhar
(2025), pp. 145-163
Closed Access
XAI‐Enabled Telehealth
Pushpa Raj Sharma, Neha Krishnarth
(2025), pp. 217-250
Closed Access
A comprehensive review on artificial intelligence driven predictive maintenance in vehicles: technologies, challenges and future research directions
Yashashree Mahale, Shrikrishna Kolhar, Anjali S. More
Deleted Journal (2025) Vol. 7, Iss. 4
Open Access
Artificial Intelligence for the Prediction and Early Diagnosis of Pancreatic Cancer: Scoping Review
Zainab Jan, Farah El Assadi, Alaa Abd‐Alrazaq, et al.
Journal of Medical Internet Research (2023) Vol. 25, pp. e44248-e44248
Open Access | Times Cited: 14
Case Study to Role of Large Language Models in Prediction of the Future Illness
Hemang Thakar, Vidisha Pradhan, Jigar Sarda, et al.
Studies in computational intelligence (2025), pp. 275-310
Closed Access
Anomaly Detection in Industrial Machinery Using IoT Devices and Machine Learning: A Systematic Mapping
Sérgio F. Chevtchenko, Élisson da Silva Rocha, Monalisa Cristina Moura Dos Santos, et al.
IEEE Access (2023) Vol. 11, pp. 128288-128305
Open Access | Times Cited: 11
Tertiary Review on Explainable Artificial Intelligence: Where Do We Stand?
Frank van Mourik, Annemarie Jutte, Stijn E. Berendse, et al.
Machine Learning and Knowledge Extraction (2024) Vol. 6, Iss. 3, pp. 1997-2017
Open Access | Times Cited: 3
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