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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:

Application of artificial intelligence in geotechnical engineering: A state-of-the-art review
Abolfazl Baghbani, Tanveer Choudhury, Susanga Costa, et al.
Earth-Science Reviews (2022) Vol. 228, pp. 103991-103991
Closed Access | Times Cited: 183

Showing 1-25 of 183 citing articles:

Deep learning methods for time-dependent reliability analysis of reservoir slopes in spatially variable soils
Lin Wang, Chongzhi Wu, Zhiyong Yang, et al.
Computers and Geotechnics (2023) Vol. 159, pp. 105413-105413
Closed Access | Times Cited: 71
A systematic review and meta-analysis of machine learning, deep learning, and ensemble learning approaches in predicting EV charging behavior
Elaheh Yaghoubi, Elnaz Yaghoubi, Ahmed A. Khamees, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 135, pp. 108789-108789
Closed Access | Times Cited: 53
A systematic review and meta-analysis of artificial neural network, machine learning, deep learning, and ensemble learning approaches in field of geotechnical engineering
Elaheh Yaghoubi, Elnaz Yaghoubi, Ahmed A. Khamees, et al.
Neural Computing and Applications (2024) Vol. 36, Iss. 21, pp. 12655-12699
Open Access | Times Cited: 18
Predicting triaxial compressive strength of high-temperature treated rock using machine learning techniques
Xunjian Hu, Junjie Shentu, Ni Xie, et al.
Journal of Rock Mechanics and Geotechnical Engineering (2022) Vol. 15, Iss. 8, pp. 2072-2082
Open Access | Times Cited: 50
Application of artificial intelligence-based single and hybrid models in predicting seepage and pore water pressure of dams: A state-of-the-art review
Behrang Beiranvand, Taher Rajaee
Advances in Engineering Software (2022) Vol. 173, pp. 103268-103268
Closed Access | Times Cited: 49
A novel whale optimization algorithm optimized XGBoost regression for estimating bearing capacity of concrete piles
Hieu Nguyen, Minh-Tu Cao, Xuan-Linh Tran, et al.
Neural Computing and Applications (2022) Vol. 35, Iss. 5, pp. 3825-3852
Closed Access | Times Cited: 42
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
Integrated parameter optimization approach: Just-in-time (JIT) operational control strategy for TBM tunnelling
Xiaojun Li, Sicheng Zhao, Yi Shen, et al.
Tunnelling and Underground Space Technology (2023) Vol. 135, pp. 105040-105040
Closed Access | Times Cited: 30
Prediction of jacking force using PSO-BPNN and PSO-SVR algorithm in curved pipe roof
Hao Zhou, Sheng Huang, Peng Zhang, et al.
Tunnelling and Underground Space Technology (2023) Vol. 138, pp. 105159-105159
Closed Access | Times Cited: 27
Soft computing for determining base resistance of super-long piles in soft soil: A coupled SPBO-XGBoost approach
Tan Nguyen, Duy-Khuong Ly, Quoc Thien Huynh, et al.
Computers and Geotechnics (2023) Vol. 162, pp. 105707-105707
Closed Access | Times Cited: 26
Estimation of California bearing ratio for hill highways using advanced hybrid artificial neural network algorithms
Ishwor Thapa, Sufyan Ghani
Multiscale and Multidisciplinary Modeling Experiments and Design (2023) Vol. 7, Iss. 2, pp. 1119-1144
Closed Access | Times Cited: 21
Applications of bentonite in plastic concrete: a comprehensive study on enhancing workability and predicting compressive strength using hybridized AI models
Ishwor Thapa, Nishant Kumar, Sufyan Ghani, et al.
Asian Journal of Civil Engineering (2024) Vol. 25, Iss. 4, pp. 3113-3128
Closed Access | Times Cited: 14
An explainable artificial-intelligence-aided safety factor prediction of road embankments
Azam Abdollahi, Deli Li, Jian Deng, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 136, pp. 108854-108854
Open Access | Times Cited: 12
A super-learner machine learning model for a global prediction of compression index in clays
E.F. González Díaz, Giovanni Spagnoli
Applied Clay Science (2024) Vol. 249, pp. 107239-107239
Open Access | Times Cited: 10
Artificial intelligence in civil engineering
Nishant Raj Kapoor, Ashok Kumar, Anuj Kumar, et al.
Elsevier eBooks (2024), pp. 1-74
Closed Access | Times Cited: 10
Prediction of joint roughness coefficient via hybrid machine learning model combined with principal components analysis
Shijie Xie, Hang Lin, Tianxing Ma, et al.
Journal of Rock Mechanics and Geotechnical Engineering (2024)
Open Access | Times Cited: 10
Application of artificial intelligence in three aspects of landslide risk assessment: A comprehensive review
Rongjie He, Wengang Zhang, Jie Dou, et al.
Rock Mechanics Bulletin (2024) Vol. 3, Iss. 4, pp. 100144-100144
Open Access | Times Cited: 8
Prediction of secant shear modulus and damping ratio for an extremely dilative silica sand based on machine learning techniques
Abolfazl Baghbani, Tanveer Choudhury, Pijush Samui, et al.
Soil Dynamics and Earthquake Engineering (2022) Vol. 165, pp. 107708-107708
Closed Access | Times Cited: 31
Investigation on the suitability of aluminium-based water treatment sludge as a sustainable soil replacement for road construction
Minh Duc Nguyen, Abolfazl Baghbani, Ali Alnedawi, et al.
Transportation Engineering (2023) Vol. 12, pp. 100175-100175
Open Access | Times Cited: 20
A Contemporary Review on Deep Learning Models for Drought Prediction
Amogh Gyaneshwar, Anirudh Mishra, Utkarsh Chadha, et al.
Sustainability (2023) Vol. 15, Iss. 7, pp. 6160-6160
Open Access | Times Cited: 20
A sustainable approach for estimating soft ground soil stiffness modulus using artificial intelligence
Muhammad Naqeeb Nawaz, Muhammad Muneeb Nawaz, Tariq Ahmed Awan, et al.
Environmental Earth Sciences (2023) Vol. 82, Iss. 23
Closed Access | Times Cited: 17
Transforming the Civil Engineering Sector with Generative Artificial Intelligence, such as ChatGPT or Bard
Nitin Rane, Saurabh Choudhary, Jayesh Rane
SSRN Electronic Journal (2024)
Closed Access | Times Cited: 5
Building MLR, ANN and FL models to predict the strength of problematic clayey soil stabilized with a combination of nano lime and nano pozzolan of natural sources for pavement construction
Aref M. al-Swaidani, Ayman Meziab, Waed T. Khwies, et al.
International Journal of Geo-Engineering (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 5
Machine Learning Predictive Analysis of Liquefaction Resistance for Sandy Soils Enhanced by Chemical Injection
Yuxin Cong, Toshiyuki Motohashi, Koki Nakao, et al.
Machine Learning and Knowledge Extraction (2024) Vol. 6, Iss. 1, pp. 402-419
Open Access | Times Cited: 5
Machine learning regression algorithms for predicting the susceptibility of jointed rock slopes to planar failure
Avishek Dutta, Kripamoy Sarkar, K. Sai Tarun
Earth Science Informatics (2024) Vol. 17, Iss. 3, pp. 2477-2493
Closed Access | Times Cited: 5
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