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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:

Prediction of triaxial mechanical properties of rocks based on mesoscopic finite element numerical simulation and multi-objective machine learning
Haijing Wang, Chao Zhang, Bo Zhou, et al.
Journal of King Saud University - Science (2023) Vol. 35, Iss. 7, pp. 102846-102846
Open Access | Times Cited: 9

Showing 9 citing articles:

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
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
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
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
A comparative study of machine learning in predicting the mechanical properties of the deposited AA6061 alloys via additive friction stir deposition
Qian Qiao, Quan Liu, Jiong Pu, et al.
Materials Genome Engineering Advances (2024) Vol. 2, Iss. 1
Open Access | Times Cited: 5
Prediction of mechanical properties for typical pressure vessel steels by small punch test combined with machine learning
Huayong Pan, Jian Peng, Xiangxuan Geng, et al.
International Journal of Pressure Vessels and Piping (2023) Vol. 206, pp. 105060-105060
Closed Access | Times Cited: 10
Effect of Design Parameters of Supporting Structure on the Energy Evolution Characteristic of Surrounding Rock
Ying Chen, Qi Da, Lei Zhang, et al.
Applied Sciences (2024) Vol. 14, Iss. 23, pp. 11028-11028
Open Access
Estimation of Uniaxial Strength of Rock: A Comparison between Bayesian-Optimized Machine Learning Models
Jitendra Khatti, Kamaldeep Singh Grover
Mining Metallurgy & Exploration (2024)
Closed Access
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