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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:

Modeling industrial hydrocyclone operational variables by SHAP-CatBoost - A “conscious lab” approach
Saeed Chehreh Chelgani, Hamid Nasiri, A. Tohry, et al.
Powder Technology (2023) Vol. 420, pp. 118416-118416
Open Access | Times Cited: 44

Showing 1-25 of 44 citing articles:

Breast cancer diagnosis from histopathology images using deep neural network and XGBoost
Alireza Maleki, Mohammad Raahemi, Hamid Nasiri
Biomedical Signal Processing and Control (2023) Vol. 86, pp. 105152-105152
Closed Access | Times Cited: 47
Reuse and Mechanochemical Processing of Ore Dressing Tailings Used for Extracting Pb and Zn
В.И. Голик, Roman V. Klyuev, Nikita V. Martyushev, et al.
Materials (2023) Vol. 16, Iss. 21, pp. 7004-7004
Open Access | Times Cited: 46
A coupled extreme gradient boosting-MPA approach for estimating daily reference evapotranspiration
Mohammed Achite, Hamid Nasiri, Okan Mert Katipoğlu, et al.
Theoretical and Applied Climatology (2025) Vol. 156, Iss. 2
Closed Access | Times Cited: 1
Interpretable predictive modelling of outlet temperatures in Central Alberta’s hydrothermal system using boosting-based ensemble learning incorporating Shapley Additive exPlanations (SHAP) approach
Ruyang Yu, Kai Zhang, Tao Li, et al.
Energy (2025), pp. 134738-134738
Closed Access | Times Cited: 1
Detection of Monkeypox Cases Based on Symptoms Using XGBoost and Shapley Additive Explanations Methods
Alireza Farzipour, Roya Elmi, Hamid Nasiri
Diagnostics (2023) Vol. 13, Iss. 14, pp. 2391-2391
Open Access | Times Cited: 23
Identifying interactive effects of spatial drivers in soil heavy metal pollutants using interpretable machine learning models
Deyu Duan, Peng Wang, Xin Rao, et al.
The Science of The Total Environment (2024) Vol. 934, pp. 173284-173284
Closed Access | Times Cited: 10
Guaranteeing Correctness in Black-Box Machine Learning: A Fusion of Explainable AI and Formal Methods for Healthcare Decision-Making
Nadia Khan, Muhammad Nauman, Ahmad Almadhor, et al.
IEEE Access (2024) Vol. 12, pp. 90299-90316
Open Access | Times Cited: 9
Novel rockburst prediction criterion with enhanced explainability employing CatBoost and nature-inspired metaheuristic technique
Yingui Qiu, Jian Zhou
Underground Space (2024) Vol. 19, pp. 101-118
Open Access | Times Cited: 8
Prediction Model of Liquid Level Fluctuation in Continuous Casting Mold Based on GA-CNN
Yibo He, Hualun Zhou, Qian Zhang, et al.
Metallurgical and Materials Transactions B (2024) Vol. 55, Iss. 3, pp. 1414-1427
Closed Access | Times Cited: 6
CatBoost-SHAP for modeling industrial operational flotation variables – A “conscious lab” approach
Saeed Chehreh Chelgani, Arman Homafar, Hamid Nasiri, et al.
Minerals Engineering (2024) Vol. 213, pp. 108754-108754
Open Access | Times Cited: 5
Multifactor interpretability method for offshore wind power output prediction based on TPE-CatBoost-SHAP
Jia-Ling Ruan, Yun Chen, Gang Lu, et al.
Computers & Electrical Engineering (2025) Vol. 123, pp. 110081-110081
Closed Access
Novel Machine Learning Modeling Approach for Fatigue Failure of Hydrogen-Transporting Pipelines
Nayem Ahmed, Ramadan Ahmed, Cătălin Teodoriu, et al.
SPE Journal (2025), pp. 1-20
Closed Access
Uncovering Soil Heavy Metal Pollution Hotspots and Influencing Mechanisms Through Machine Learning and Spatial Analysis
Xiaoyong Song, Yao Sun, Huijuan Wang, et al.
Environmental Pollution (2025), pp. 125901-125901
Closed Access
Modeling Nonlinear Deformation in Magnetic Polyelectrolyte Hydrogels: A Hybrid FEM-Machine Learning Framework
Hadi Mehdipour, H. Darijani, Mahmood Matin, et al.
Results in Engineering (2025), pp. 104503-104503
Open Access
Study on micro-parameters of parallel bond model based on machine learning algorithm
Xiaotong Du, Wanrong Liu, Chao Peng, et al.
Computational Particle Mechanics (2025)
Closed Access
Diagnosis of Parkinson’s disease based on voice signals using SHAP and hard voting ensemble method
Paria Ghaheri, Hamid Nasiri, Ahmadreza Shateri, et al.
Computer Methods in Biomechanics & Biomedical Engineering (2023) Vol. 27, Iss. 13, pp. 1858-1874
Open Access | Times Cited: 14
Development of an expert system for the classification of myalgic encephalomyelitis/chronic fatigue syndrome
Fatma Hilal Yağın, Ahmadreza Shateri, Hamid Nasiri, et al.
PeerJ Computer Science (2024) Vol. 10, pp. e1857-e1857
Open Access | Times Cited: 4
Transformer Fault Diagnosis Method Based on Incomplete Data and TPE-XGBoost
Tonglei Wang, Qun Li, Jinggang Yang, et al.
Applied Sciences (2023) Vol. 13, Iss. 13, pp. 7539-7539
Open Access | Times Cited: 11
Data-driven prediction of product yields and control framework of hydrocracking unit
Zheyuan Pang, P. M. Huang, Cheng Lian, et al.
Chemical Engineering Science (2023) Vol. 283, pp. 119386-119386
Open Access | Times Cited: 7
Recent Applications of Explainable AI (XAI): A Systematic Literature Review
Mirka Saarela, Vili Podgorelec
Applied Sciences (2024) Vol. 14, Iss. 19, pp. 8884-8884
Open Access | Times Cited: 2
Predicting viscosity of ionic liquids - water mixtures by bridging UNIFAC modeling with interpretable machine learning
Min Huang, Jiandong Deng, Guozhu Jia
Journal of Molecular Liquids (2023) Vol. 383, pp. 122095-122095
Closed Access | Times Cited: 6
The determination of limit wheel profile for hunting instability of railway vehicles using stacking feature deep forest
Xinliang Dai, Sheng Qu, Caihong Huang, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 125, pp. 106732-106732
Closed Access | Times Cited: 6
Explainable Artificial Intelligence to Investigate the Contribution of Design Variables to the Static Characteristics of Bistable Composite Laminates
Saeid Saberi, Hamid Nasiri, Omid Ghorbani, et al.
Materials (2023) Vol. 16, Iss. 15, pp. 5381-5381
Open Access | Times Cited: 6
Construction of a Diagnostic Algorithm for Diagnosis of Adult Asthma Using Machine Learning with Random Forest and XGBoost
Katsuyuki Tomita, Akira Yamasaki, Ryohei Katou, et al.
Diagnostics (2023) Vol. 13, Iss. 19, pp. 3069-3069
Open Access | Times Cited: 6
Fast prediction and control of air core in hydrocyclone by machine learning to stabilize operations
Qing Ye, Shibo Kuang, Peibo Duan, et al.
Journal of environmental chemical engineering (2023) Vol. 12, Iss. 1, pp. 111699-111699
Open Access | Times Cited: 6
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