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:

A Perspective on Explainable Artificial Intelligence Methods: SHAP and LIME
Ahmed Salih, Zahra Raisi‐Estabragh, Ilaria Boscolo Galazzo, et al.
Advanced Intelligent Systems (2024)
Open Access | Times Cited: 58

Showing 26-50 of 58 citing articles:

A Deep Learning Model Based on Bidirectional Temporal Convolutional Network (Bi-TCN) for Predicting Employee Attrition
Farhad Mortezapour Shiri, Shingo Yamaguchi, Mohd Anuaruddin Bin Ahmadon
Applied Sciences (2025) Vol. 15, Iss. 6, pp. 2984-2984
Open Access

Machine Learning in Predicting Child Malnutrition: A Meta-Analysis of Demographic and Health Surveys Data
Bhagyajyothi Rao, Muhammed Rashid, Md. Gulzarul Hasan, et al.
International Journal of Environmental Research and Public Health (2025) Vol. 22, Iss. 3, pp. 449-449
Open Access

Analysis of Road Traffic Accident Using AI Techniques
Innocent Ekanem
Open Journal of Safety Science and Technology (2025) Vol. 15, Iss. 01, pp. 36-56
Open Access

The Explanation and Sensitivity of AI Algorithms Supplied with Synthetic Medical Data
Dan Munteanu, Simona Moldovanu, Mihaela Miron
Electronics (2025) Vol. 14, Iss. 7, pp. 1270-1270
Open Access

From data to insights: Using gradient boosting classifier to optimize student engagement in online classes with explainable AI
Muhammad Kamal Hossen, Mohammad Shorif Uddin
Education and Information Technologies (2025)
Closed Access

AI-Driven Data Analysis for Asthma Risk Prediction
Menghan Chen, Guanling Lee, Lun-Ping Hung
Healthcare (2025) Vol. 13, Iss. 7, pp. 774-774
Open Access

Machine Learning Algorithms for Applications in Materials Science II
Ayushi Ayushi, Neeraj Tiwari, Terry-Elinor Reid, et al.
Challenges and advances in computational chemistry and physics (2025), pp. 215-238
Closed Access

Explainable artificial intelligence to diagnose early Parkinson’s disease via voice analysis
Matthew Shen, Pouria Mortezaagha, Arya Rahgozar
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access

Hybrid Modeling with Artificial Neural Networks for Predicting In-Situ Bioremediation Dynamics of Diesel Fuel-Spiked Soil
Biswanath Mahanty, Shishir Kumar Behera, Alberto Godio, et al.
Water Air & Soil Pollution (2025) Vol. 236, Iss. 5
Closed Access

Data-driven approaches for predicting Tommy John Surgery risk in major league baseball pitchers
B. S. Kang, Minsu Park, Ángel P. del Pobil, et al.
Journal Of Big Data (2025) Vol. 12, Iss. 1
Open Access

Protocol for Evaluating Explainability in Actuarial Models
Catalina Lozano‐Murcia, Francisco P. Romero, Ma Concepción Gonzalez-Ramos
Electronics (2025) Vol. 14, Iss. 8, pp. 1561-1561
Open Access

A comprehensive systematic review of intrusiondetection systems: emerging techniques,challenges, and future research directions
Arjun Kumar Bose Arnob, Rajarshi Roy Chowdhury, Nusrat Alam Chaiti, et al.
Journal of Edge Computing (2025)
Open Access

DemetrIA: An AI-Driven Process Mining Ecosystem for Efficient and Sustainable Manufacturing
Diletta Cacciagrano, Leonardo Vito
Lecture notes on data engineering and communications technologies (2025), pp. 258-267
Closed Access

Explainable machine learning for arsenic remobilization potential in the vadose zone: Leveraging readily available soil properties
Tho Huu Huynh Tran, Sang Hyun Kim, Quynh Hoang Ngan Nguyen, et al.
Journal of Hazardous Materials (2025) Vol. 493, pp. 138400-138400
Open Access

Adoption of Deep-Learning Models for Managing Threat in API Calls with Transparency Obligation Practice for Overall Resilience
Nihala Basheer, Shareeful Islam, Mohammed K. S. Alwaheidi, et al.
Sensors (2024) Vol. 24, Iss. 15, pp. 4859-4859
Open Access | Times Cited: 3

Application of Deep Learning for Heart Attack Prediction with Explainable Artificial Intelligence
Ηλίας Δρίτσας, Μαρία Τρίγκα
Computers (2024) Vol. 13, Iss. 10, pp. 244-244
Open Access | Times Cited: 3

Fair and explainable Myocardial Infarction (MI) prediction: Novel strategies for feature selection and class imbalance correction
Simon Bin Akter, Sumya Akter, Moon Das Tuli, et al.
Computers in Biology and Medicine (2024) Vol. 184, pp. 109413-109413
Closed Access | Times Cited: 3

Hepatic encephalopathy post-TIPS: Current status and prospects in predictive assessment
Xiaowei Xu, Yun Yang, Xinru Tan, et al.
Computational and Structural Biotechnology Journal (2024) Vol. 24, pp. 493-506
Open Access | Times Cited: 2

Machine learning predicts properties of hydrochar derived from digestate
Wei Wang, Jo‐Shu Chang, Duu‐Jong Lee
Journal of the Taiwan Institute of Chemical Engineers (2024) Vol. 167, pp. 105862-105862
Closed Access | Times Cited: 2

Accurate and robust ammonia level forecasting of aeration tanks using long short-term memory ensembles: A comparative study of Adaboost and Bagging approaches
Hanxiao Shi, Anlei Wei, Yaqi Zhu, et al.
Journal of Environmental Management (2024) Vol. 371, pp. 123173-123173
Closed Access | Times Cited: 1

Vision transformer for contactless fingerprint classification
Pooja Kaplesh, Aastha Gupta, Divya Bansal, et al.
Multimedia Tools and Applications (2024)
Closed Access | Times Cited: 1

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