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:

Data-driven dynamic causality analysis of industrial systems using interpretable machine learning and process mining
Karim Nadim, Ahmed Ragab, Mohamed-Salah Ouali
Journal of Intelligent Manufacturing (2022) Vol. 34, Iss. 1, pp. 57-83
Open Access | Times Cited: 24

Showing 24 citing articles:

Intelligent fault diagnosis methods toward gas turbine: A review
Xiaofeng Liu, Yingjie CHEN, Liuqi Xiong, et al.
Chinese Journal of Aeronautics (2023) Vol. 37, Iss. 4, pp. 93-120
Open Access | Times Cited: 28

Manufacturing Process Optimization in the Process Industry
Shilin Liu, Hanlie Cheng
International Journal of Information Technology and Web Engineering (2024) Vol. 19, Iss. 1, pp. 1-20
Open Access | Times Cited: 11

Predicting the risk of hypertension using machine learning algorithms: A cross sectional study in Ethiopia
Md. Merajul Islam, Md. Jahangir Alam, Md. Maniruzzaman, et al.
PLoS ONE (2023) Vol. 18, Iss. 8, pp. e0289613-e0289613
Open Access | Times Cited: 22

Machine learning-assisted selection of adsorption-based carbon dioxide capture materials
Eslam G. Al-Sakkari, Ahmed Ragab, Terry M.Y. So, et al.
Journal of environmental chemical engineering (2023) Vol. 11, Iss. 5, pp. 110732-110732
Closed Access | Times Cited: 17

Hierarchical Causal Graph-Based Fault Root Cause Diagnosis and Propagation Path Identification for Complex Industrial Process Monitoring
Jie Dong, Keren Cao, Kaixiang Peng
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-11
Closed Access | Times Cited: 13

Manufacturing process analysis framework for process mining: case study of fully automated factory applications
Yongho Lee, Junho Shin, Wonhee Lee
The International Journal of Advanced Manufacturing Technology (2025)
Open Access

Process mining on sensor data: a review of related works
Edyta Brzychczy, Milda Aleknonytė‐Resch, Dominik Janssen, et al.
Knowledge and Information Systems (2025)
Open Access

Assessing the Effects on General Government Health Expenditures With Machine Learning-Based Causality Analysis
Yeşim Altay, Ömer Algorabi, Ayşe Paksoy
Advances in public policy and administration (APPA) book series (2025), pp. 289-314
Closed Access

Developing data-driven O&M policy through sequential pattern mining: A case study
Rinaldo Conceição Paiva, Yan R Melo, Cristiano Alexandre Virgínio Cavalcante, et al.
Computers & Industrial Engineering (2024) Vol. 193, pp. 110318-110318
Closed Access | Times Cited: 3

Two-stage approach to causality analysis-based quality problem solving for discrete manufacturing systems
Haonan Wang, Yuming Xu, Tao Peng, et al.
Journal of Engineering Design (2023), pp. 1-25
Closed Access | Times Cited: 7

Process Mining of Mining Processes: Analyzing Longwall Coal Excavation Using Event Data
Edyta Brzychczy, Agnieszka Żuber, Wil M. P. van der Aalst
IEEE Transactions on Systems Man and Cybernetics Systems (2024) Vol. 54, Iss. 5, pp. 2723-2734
Closed Access | Times Cited: 2

Learn-to-supervise: Causal reinforcement learning for high-level control in industrial processes
Karim Nadim, Mohamed-Salah Ouali, Hakim Ghezzaz, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 126, pp. 106853-106853
Closed Access | Times Cited: 6

Constructing a decision-making tool for HRM process by predicting organizational citizenship behavior
Akriti Gupta, Aman Chadha, Mayank Kumar, et al.
Global Knowledge Memory and Communication (2024)
Closed Access | Times Cited: 1

Polygon generation and video-to-video translation for time-series prediction
Mohamed Elhefnawy, Ahmed Ragab, Mohamed-Salah Ouali
Journal of Intelligent Manufacturing (2022) Vol. 34, Iss. 1, pp. 261-279
Open Access | Times Cited: 3

Supporting Interpretability in Predictive Process Monitoring Using Process Maps
Ana Rocío Cárdenas Maita, Marcelo Fantinato, Sarajane Marques Peres, et al.
Lecture notes in business information processing (2024), pp. 230-246
Closed Access

Fault Tree Inference Using Multi-objective Evolutionary Algorithms and Confusion Matrix-Based Metrics
Lisandro A. Jiménez-Roa, Nicolae Rusnac, Matthias Volk, et al.
Lecture notes in computer science (2024), pp. 80-96
Closed Access

Combination of Process Mining and Causal Discovery Generated Graph Models for Comprehensive Process Modeling
Christoph Hennebold, Muhammad Monirul Islam, Jonas Krauß, et al.
Procedia CIRP (2024) Vol. 130, pp. 1296-1302
Open Access

Interpretability of Causal Discovery in Tracking Deterioration in a Highly Dynamic Process
Asha Choudhary, Matej Vuković, Belgin Mutlu, et al.
Sensors (2024) Vol. 24, Iss. 12, pp. 3728-3728
Open Access

Multi-flow Process Mining for Comprehensive Simulation Model Discovery
Atieh Khodadadi, Sanja Lazarova‐Molnar
(2024), pp. 15-21
Closed Access

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