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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:

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

Showing 10 citing articles:

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
Compressive Strength Prediction of Rice Husk Ash Concrete Using a Hybrid Artificial Neural Network Model
Chuanqi Li, Xiancheng Mei, Daniel Dias, et al.
Materials (2023) Vol. 16, Iss. 8, pp. 3135-3135
Open Access | Times Cited: 17
Predicting the elasticity modulus of sedimentary rocks using Deep Random Forest Optimization (DRFO) algorithm
Yimin Mao, Yican Li, Fei Teng, et al.
Environmental Earth Sciences (2024) Vol. 83, Iss. 16
Closed Access | Times Cited: 8
Migration time prediction and assessment of toxic fumes under forced ventilation in underground mines
J. Zhang, Tingting Zhang, Chuanqi Li
Underground Space (2024) Vol. 18, pp. 273-294
Open Access | Times Cited: 3
Prediction model for the compressive strength of rock based on stacking ensemble learning and shapley additive explanations
Luyuan Wu, Jianhui Li, Jianwei Zhang, et al.
Bulletin of Engineering Geology and the Environment (2024) Vol. 83, Iss. 11
Closed Access | Times Cited: 3
Estimation of static Young’s modulus of sandstone types: effective machine learning and statistical models
Liu Na, Yan Sun, Jiabao Wang, et al.
Earth Science Informatics (2024) Vol. 17, Iss. 5, pp. 4339-4359
Open Access | Times Cited: 2
Application of machine learning technique to predict the energy performance of energy tunnels
Chunjing Ma, Lu An, Alice Di Donna, et al.
Computers and Geotechnics (2023) Vol. 166, pp. 106010-106010
Closed Access | Times Cited: 4
Optimized Hybrid Metaheuristic Model for MapReduce Task Scheduling Applications - A Novel Framework
Vishal Kumar, Sumit Kushwaha
(2024), pp. 513-519
Closed Access | Times Cited: 1
Developing some models to predict the uniaxial compressive strength of various sedimentary rocks (Case studies: large dam site and mine in Southeast China)
Zhe Wang, Zhou Zhou, Tao Sun, et al.
Case Studies in Construction Materials (2024) Vol. 21, pp. e03817-e03817
Open Access | Times Cited: 1
Comparative Study of Map Reduce Task Scheduling Optimization Techniques
Vishal Kumar, Sumit Kushwaha
(2023), pp. 1-7
Closed Access | Times Cited: 1
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