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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:

Development of Prediction Models for Shear Strength of Rockfill Material Using Machine Learning Techniques
Mahmood Ahmad, Paweł Kamiński, Piotr Olczak, et al.
Applied Sciences (2021) Vol. 11, Iss. 13, pp. 6167-6167
Open Access | Times Cited: 38

Showing 1-25 of 38 citing articles:

Prediction of Pile Bearing Capacity Using XGBoost Algorithm: Modeling and Performance Evaluation
Maaz Amjad, Irshad Ahmad, Mahmood Ahmad, et al.
Applied Sciences (2022) Vol. 12, Iss. 4, pp. 2126-2126
Open Access | Times Cited: 131
Compressive Strength Prediction of High-Strength Concrete Using Long Short-Term Memory and Machine Learning Algorithms
Hong‐Gen Chen, Xin Li, Yanqi Wu, et al.
Buildings (2022) Vol. 12, Iss. 3, pp. 302-302
Open Access | Times Cited: 58
Ensemble Voting Regression Based on Machine Learning for Predicting Medical Waste: A Case from Turkey
Babek Erdebilli, Burcu Devrim-İçtenbaş
Mathematics (2022) Vol. 10, Iss. 14, pp. 2466-2466
Open Access | Times Cited: 47
Prediction of Self-Healing of Engineered Cementitious Composite Using Machine Learning Approaches
Guangwei Chen, Waiching Tang, Shuo Chen, et al.
Applied Sciences (2022) Vol. 12, Iss. 7, pp. 3605-3605
Open Access | Times Cited: 36
A critical review of rock failure Criteria: A scope of Machine learning approach
Mohatsim Mahetaji, Jwngsar Brahma
Engineering Failure Analysis (2024) Vol. 159, pp. 107998-107998
Closed Access | Times Cited: 10
Prediction of Concrete Compressive Strength Using a Back-Propagation Neural Network Optimized by a Genetic Algorithm and Response Surface Analysis Considering the Appearance of Aggregates and Curing Conditions
Kazem Reza Kashyzadeh, Nima Amiri, Siamak Ghorbani, et al.
Buildings (2022) Vol. 12, Iss. 4, pp. 438-438
Open Access | Times Cited: 31
Study on heterogeneous interface morphology-induced coating fracture behavior: Exploring interface design with enhanced fracture toughness based on data-driven method
Xuan He, Peng Song, Taihong Huang, et al.
Engineering Failure Analysis (2025), pp. 109262-109262
Closed Access
Harnessing Machine Learning to Predict MoS2 Solid Lubricant Performance
Dayton J. Vogel, Tomas F. Babuska, Alexander Mings, et al.
Tribology Letters (2025) Vol. 73, Iss. 1
Closed Access
Assessment of mechanical properties of rock using deep learning approaches
Xiaohua Ding, Mahdi Hasanipanah, Mohammad Rezaei
Measurement (2025), pp. 117180-117180
Closed Access
A Method of Analyzing the Residual Values of Low-Emission Vehicles Based on a Selected Expert Method Taking into Account Stochastic Operational Parameters
Piotr Wróblewski, Wojciech Lewicki
Energies (2021) Vol. 14, Iss. 21, pp. 6859-6859
Open Access | Times Cited: 39
Prediction of slope stability using Tree Augmented Naive-Bayes classifier: modeling and performance evaluation
Feezan Ahmad, Xiaowei Tang, Jiangnan Qiu, et al.
Mathematical Biosciences & Engineering (2022) Vol. 19, Iss. 5, pp. 4526-4546
Open Access | Times Cited: 24
Unconfined compressive strength prediction of stabilized expansive clay soil using machine learning techniques
Mahmood Ahmad, Ramez A. Al-Mansob, Ahmad Bukhari Bin Ramli, et al.
Multiscale and Multidisciplinary Modeling Experiments and Design (2023) Vol. 7, Iss. 1, pp. 217-231
Closed Access | Times Cited: 13
Prediction of Liquefaction-Induced Lateral Displacements Using Gaussian Process Regression
Mahmood Ahmad, Maaz Amjad, Ramez A. Al-Mansob, et al.
Applied Sciences (2022) Vol. 12, Iss. 4, pp. 1977-1977
Open Access | Times Cited: 17
Prediction of Rockburst Intensity Grade in Deep Underground Excavation Using Adaptive Boosting Classifier
Mahmood Ahmad, Herda Yati Katman, Ramez A. Al-Mansob, et al.
Complexity (2022) Vol. 2022, Iss. 1
Open Access | Times Cited: 17
A New Approach to Machine Learning Model Development for Prediction of Concrete Fatigue Life under Uniaxial Compression
Jaeho Son, Sung-Chul Yang
Applied Sciences (2022) Vol. 12, Iss. 19, pp. 9766-9766
Open Access | Times Cited: 16
Predicting the Thickness of an Excavation Damaged Zone around the Roadway Using the DA-RF Hybrid Model
Yuxin Chen, Weixun Yong, Chuanqi Li, et al.
Computer Modeling in Engineering & Sciences (2022) Vol. 136, Iss. 3, pp. 2507-2526
Open Access | Times Cited: 16
Predicting California bearing ratio of HARHA-treated expansive soils using Gaussian process regression
Mahmood Ahmad, Mohammad Al-Zubi, Ewa Kubińska-Jabcoń, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 9
Extreme Gradient Boosting Algorithm for Predicting Shear Strengths of Rockfill Materials
Mahmood Ahmad, Ramez A. Al-Mansob, Kazem Reza Kashyzadeh, et al.
Complexity (2022) Vol. 2022, Iss. 1
Open Access | Times Cited: 14
Supervised intelligent prediction of shear strength of rockfill materials based on data driven and a case study
Chuanqi Li, Jiamin Zhang, Xiancheng Mei, et al.
Transportation Geotechnics (2024) Vol. 45, pp. 101229-101229
Closed Access | Times Cited: 2
Predicting medical waste generation and associated factors using machine learning in the Kingdom of Bahrain
Khadija Al-Omran, Ezzat Khan
Environmental Science and Pollution Research (2024) Vol. 31, Iss. 26, pp. 38343-38357
Open Access | Times Cited: 2
Performance evaluation of hybrid YYPO-RF, BWOA-RF and SMA-RF models to predict plastic zones around underground powerhouse caverns
Jian Zhou, Yuxin Chen, Weixun Yong
Geomechanics and Geophysics for Geo-Energy and Geo-Resources (2022) Vol. 8, Iss. 6
Closed Access | Times Cited: 11
Improved Prediction of Slope Stability under Static and Dynamic Conditions Using Tree-Based Models
Feezan Ahmad, Xiaowei Tang, Jilei Hu, et al.
Computer Modeling in Engineering & Sciences (2023) Vol. 137, Iss. 1, pp. 455-487
Open Access | Times Cited: 5
A Novel Energy Performance-Based Diagnostic Model for Centrifugal Compressor using Hybrid ML Model
Mukhtiar Ali Shar, Masdi Muhammad, Ainul Akmar Mokhtar, et al.
Arabian Journal for Science and Engineering (2024) Vol. 49, Iss. 11, pp. 14835-14853
Closed Access | Times Cited: 1
Enhancing stability and interpretability in the study of strength behavior for coarse-grained soils
Ying Zhang, Yunpeng Hua, Xuedong Zhang, et al.
Computers and Geotechnics (2024) Vol. 171, pp. 106333-106333
Closed Access | Times Cited: 1
Intelligent Approaches for Predicting the Intact Rock Mechanical Parameters and Crack Stress Thresholds
Jamshid Shakeri, Giacomo Pepe, Roohollah Shirani Faradonbeh, et al.
Rock Mechanics and Rock Engineering (2024) Vol. 57, Iss. 10, pp. 8499-8528
Closed Access | Times Cited: 1
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