Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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 Kernel Extreme Learning Machine-Grey Wolf Optimizer (KELM-GWO) Model to Predict Uniaxial Compressive Strength of Rock
Chuanqi Li, Jian Zhou, Daniel Dias, et al.
Applied Sciences (2022) Vol. 12, Iss. 17, pp. 8468-8468
Open Access | Times Cited: 33

Showing 1-25 of 33 citing articles:

Predicting uniaxial compressive strength of rocks using ANN models: Incorporating porosity, compressional wave velocity, and schmidt hammer data
Panagiotis G. Asteris, Μαρία Καρόγλου, Athanasia D. Skentou, et al.
Ultrasonics (2024) Vol. 141, pp. 107347-107347
Closed Access | Times Cited: 48
Stability prediction of hard rock pillar using support vector machine optimized by three metaheuristic algorithms
Chuanqi Li, Jian Zhou, Kun Du, et al.
International Journal of Mining Science and Technology (2023) Vol. 33, Iss. 8, pp. 1019-1036
Open Access | Times Cited: 40
Assessment of the uniaxial compressive strength of intact rocks: an extended comparison between machine and advanced machine learning models
Jitendra Khatti, Kamaldeep Singh Grover
Multiscale and Multidisciplinary Modeling Experiments and Design (2024) Vol. 7, Iss. 4, pp. 3301-3325
Closed Access | Times Cited: 17
Automated machine learning techniques for estimating the unconfined compressive strength of soil stabilization
Lei Wang
International Journal on Interactive Design and Manufacturing (IJIDeM) (2025)
Closed Access | Times Cited: 1
Grey wolf optimizer integrated within boosting algorithm: Application in mechanical properties prediction of ultra high-performance concrete including carbon nanotubes
Aybike Özyüksel Çiftçioğlu, Farzin Kazemi, Torkan Shafighfard
Applied Materials Today (2025) Vol. 42, pp. 102601-102601
Closed Access | Times Cited: 1
A Novel Hybrid Bayesian-Group-Based Machine Learning (HB-GML) Method for Predicting Uniaxial Compressive Strength (UCS) of Rock
Shenghao Piao, Sheng Huang, Yingjie Wei, et al.
Rock Mechanics and Rock Engineering (2025)
Closed Access | Times Cited: 1
Application of Six Metaheuristic Optimization Algorithms and Random Forest in the uniaxial compressive strength of rock prediction
Jingze Li, Chuanqi Li, Shaohe Zhang
Applied Soft Computing (2022) Vol. 131, pp. 109729-109729
Open Access | Times Cited: 41
Machine learning models to predict the tunnel wall convergence
Jian Zhou, Yuxin Chen, Chuanqi Li, et al.
Transportation Geotechnics (2023) Vol. 41, pp. 101022-101022
Closed Access | Times Cited: 31
Application of the Improved POA-RF Model in Predicting the Strength and Energy Absorption Property of a Novel Aseismic Rubber-Concrete Material
Xiancheng Mei, Zhen Cui, Qian Sheng, et al.
Materials (2023) Vol. 16, Iss. 3, pp. 1286-1286
Open Access | Times Cited: 24
Prediction of Uniaxial Strength of Rocks Using Relevance Vector Machine Improved with Dual Kernels and Metaheuristic Algorithms
Jitendra Khatti, Kamaldeep Singh Grover
Rock Mechanics and Rock Engineering (2024) Vol. 57, Iss. 8, pp. 6227-6258
Closed Access | Times Cited: 13
Assessment of Uniaxial Strength of Rocks: A Critical Comparison Between Evolutionary and Swarm Optimized Relevance Vector Machine Models
Jitendra Khatti, Kamaldeep Singh Grover
Transportation Infrastructure Geotechnology (2024) Vol. 11, Iss. 6, pp. 4098-4141
Closed Access | Times Cited: 10
Estimation of Intact Rock Uniaxial Compressive Strength Using Advanced Machine Learning
Jitendra Khatti, Kamaldeep Singh Grover
Transportation Infrastructure Geotechnology (2023) Vol. 11, Iss. 4, pp. 1989-2022
Closed Access | Times Cited: 19
Prediction of Flyrock Distance in Surface Mining Using a Novel Hybrid Model of Harris Hawks Optimization with Multi-strategies-based Support Vector Regression
Chuanqi Li, Jian Zhou, Kun Du, et al.
Natural Resources Research (2023) Vol. 32, Iss. 6, pp. 2995-3023
Closed Access | Times Cited: 17
Characterizing marble strength and elasticity: Insights from destructive and non-destructive techniques on El Laurel formation (Ecuador)
Wilson F. Espinoza, Randy Moposita, Anthony Torres, et al.
Construction and Building Materials (2025) Vol. 468, pp. 140340-140340
Closed Access
Calculating of the tunnel face deformations reinforced by longitudinal fiberglass dowels: From analytical method to artificial intelligence
Chuanqi Li, Milad Zaheri, Masoud Ranjbarnia, et al.
Transportation Geotechnics (2023) Vol. 43, pp. 101152-101152
Closed Access | Times Cited: 13
Advanced computational techniques: Bridging metaheuristic optimization and deep learning for material design through image enhancement
Jagrati Talreja, Divya Chauhan
Elsevier eBooks (2025), pp. 197-228
Closed Access
Predicting dynamic compressive strength of frozen-thawed rocks by characteristic impedance and data-driven methods
Shengtao Zhou, Zong‐Xian Zhang, Xuedong Luo, et al.
Journal of Rock Mechanics and Geotechnical Engineering (2023) Vol. 16, Iss. 7, pp. 2591-2606
Open Access | Times Cited: 12
Advances in stress-strain constitutive models for rock failure: Review and new dynamic constitutive failure (DCF) model using core data from the Tarim Basin (China)
Yakai Tian, Ruud Weijermars, Fujian Zhou, et al.
Earth-Science Reviews (2023) Vol. 243, pp. 104473-104473
Closed Access | Times Cited: 11
Assessment of the Rock Elasticity Modulus Using Four Hybrid RF Models: A Combination of Data-Driven and Soft Techniques
Chuanqi Li, Daniel Dias
Applied Sciences (2023) Vol. 13, Iss. 4, pp. 2373-2373
Open Access | Times Cited: 10
Application of a Hybrid Machine Learning Model for the Prediction of Compressive Strength and Elastic Modulus of Rocks
Xiaoliang Jin, Rui Zhao, Yulin Ma
Minerals (2022) Vol. 12, Iss. 12, pp. 1506-1506
Open Access | Times Cited: 14
A Rock Mass Strength Prediction Method Integrating Wave Velocity and Operational Parameters Based on the Bayesian Optimization Catboost Algorithm
Y.R. Wang, Ruirui Wang, Jiwen Wang, et al.
KSCE Journal of Civil Engineering (2023) Vol. 27, Iss. 7, pp. 3148-3162
Closed Access | Times Cited: 7
Performance evaluation of a single footing over rigid inclusions-reinforced soft soil - use of a novel LWSO-RF model to predict load transfer efficiency
Jiamin Zhang, Daniel Dias, Chuanqi Li
Engineering Structures (2023) Vol. 292, pp. 116556-116556
Closed Access | Times Cited: 7
Optimized kernel extreme learning machine using Sine Cosine Algorithm for prediction of unconfined compression strength of MICP cemented soil
Shuquan Peng, Qiangzhi Sun, Ling Fan, et al.
Environmental Science and Pollution Research (2024) Vol. 31, Iss. 17, pp. 24868-24880
Closed Access | Times Cited: 2
Towards lightweight excavation: Machine learning exploration of rock size distribution prediction after tunnel blasting
Chuanqi Li, Jian Zhou, Kun Du
Journal of Computational Science (2024) Vol. 78, pp. 102266-102266
Closed Access | Times Cited: 2
Optimization of Rock Mechanical Properties Prediction Model Based on Block Database
Yakai Tian, Fujian Zhou, Longqiao Hu, et al.
Rock Mechanics and Rock Engineering (2023) Vol. 56, Iss. 8, pp. 5955-5978
Closed Access | Times Cited: 5
Page 1 - Next Page

Scroll to top