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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:

Comparison of machine learning methods for ground settlement prediction with different tunneling datasets
Libin Tang, SeonHong Na
Journal of Rock Mechanics and Geotechnical Engineering (2021) Vol. 13, Iss. 6, pp. 1274-1289
Open Access | Times Cited: 101

Showing 1-25 of 101 citing articles:

Displacement prediction of Jiuxianping landslide using gated recurrent unit (GRU) networks
Wengang Zhang, Hongrui Li, Libin Tang, et al.
Acta Geotechnica (2022) Vol. 17, Iss. 4, pp. 1367-1382
Closed Access | Times Cited: 113
Machine learning-based landslide susceptibility assessment with optimized ratio of landslide to non-landslide samples
Can Yang, Leilei Liu, Faming Huang, et al.
Gondwana Research (2022) Vol. 123, pp. 198-216
Closed Access | Times Cited: 88
Deep learning technologies for shield tunneling: Challenges and opportunities
Cheng Zhou, Yuyue Gao, Elton J. Chen, et al.
Automation in Construction (2023) Vol. 154, pp. 104982-104982
Closed Access | Times Cited: 54
Random Forest Algorithm for the Strength Prediction of Geopolymer Stabilized Clayey Soil
Husein Ali Zeini, Duaa Al-Jeznawi, Hamza Imran, et al.
Sustainability (2023) Vol. 15, Iss. 2, pp. 1408-1408
Open Access | Times Cited: 44
Deep learning-based prediction of steady surface settlement due to shield tunnelling
Wang Gan, Qian Fang, Jianming Du, et al.
Automation in Construction (2023) Vol. 154, pp. 105006-105006
Closed Access | Times Cited: 42
Forecasting and early warning of shield tunnelling-induced ground collapse in rock-soil interface mixed ground using multivariate data fusion and Catastrophe Theory
Long-Chuan Deng, Wei Zhang, Lu Deng, et al.
Engineering Geology (2024) Vol. 335, pp. 107548-107548
Closed Access | Times Cited: 26
Deep Learning for Exploring Landslides with Remote Sensing and Geo-Environmental Data: Frameworks, Progress, Challenges, and Opportunities
Qi Zhang, Teng Wang
Remote Sensing (2024) Vol. 16, Iss. 8, pp. 1344-1344
Open Access | Times Cited: 19
Editorial for Advances and applications of deep learning and soft computing in geotechnical underground engineering
Wengang Zhang, Kok‐Kwang Phoon
Journal of Rock Mechanics and Geotechnical Engineering (2022) Vol. 14, Iss. 3, pp. 671-673
Open Access | Times Cited: 59
Safety prediction of shield tunnel construction using deep belief network and whale optimization algorithm
Shuangshuang Ge, Wei Gao, Shuang Cui, et al.
Automation in Construction (2022) Vol. 142, pp. 104488-104488
Closed Access | Times Cited: 48
Predicting and validating the load-settlement behavior of large-scale geosynthetic-reinforced soil abutments using hybrid intelligent modeling
Muhammad Nouman Amjad Raja, Syed Taseer Abbas Jaffar, Abidhan Bardhan, et al.
Journal of Rock Mechanics and Geotechnical Engineering (2022) Vol. 15, Iss. 3, pp. 773-788
Open Access | Times Cited: 42
Leakage diagnosis and localization of the gas extraction pipeline based on SA-PSO BP neural network
Jie Zhou, Haifei Lin, Shugang Li, et al.
Reliability Engineering & System Safety (2022) Vol. 232, pp. 109051-109051
Closed Access | Times Cited: 39
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: 30
A novel physics-informed deep learning strategy with local time-updating discrete scheme for multi-dimensional forward and inverse consolidation problems
Hongwei Guo, Zhen‐Yu Yin
Computer Methods in Applied Mechanics and Engineering (2024) Vol. 421, pp. 116819-116819
Closed Access | Times Cited: 12
Toward the automation of mechanized tunneling “exploring the use of big data analytics for ground forecast in TBM tunnels”
Saadeldin Mostafa, Rita L. Sousa, Herbert H. Einstein
Tunnelling and Underground Space Technology (2024) Vol. 146, pp. 105643-105643
Closed Access | Times Cited: 12
Analysis and Warning Prediction of Tunnel Deformation Based on Multifractal Theory
Chengtao Yang, Rendong Huang, Dunwen Liu, et al.
Fractal and Fractional (2024) Vol. 8, Iss. 2, pp. 108-108
Open Access | Times Cited: 9
Multisource information fusion for real-time optimization of shield construction parameters
Hongyu Chen, Jun Liu, Qiping Shen, et al.
Knowledge-Based Systems (2024) Vol. 286, pp. 111413-111413
Open Access | Times Cited: 8
Performance analysis of data-driven and physics-informed machine learning methods for thermal-hydraulic processes in Full-scale Emplacement experiment
Guang Hu, Nikolaos I. Prasianakis, Sergey V. Churakov, et al.
Applied Thermal Engineering (2024) Vol. 245, pp. 122836-122836
Open Access | Times Cited: 8
Real-time analysis and prediction of shield cutterhead torque using optimized gated recurrent unit neural network
Song-Shun Lin, Shui‐Long Shen, Annan Zhou
Journal of Rock Mechanics and Geotechnical Engineering (2022) Vol. 14, Iss. 4, pp. 1232-1240
Open Access | Times Cited: 33
Real-time prediction of mechanical behaviors of underwater shield tunnel structure using machine learning method based on structural health monitoring data
Xuyan Tan, Weizhong Chen, Tao Zou, et al.
Journal of Rock Mechanics and Geotechnical Engineering (2022) Vol. 15, Iss. 4, pp. 886-895
Open Access | Times Cited: 33
Machine learning for prediction of the uniaxial compressive strength within carbonate rocks
Mohamed Abdelhedi, Rateb Jabbar, Ahmed Ben Said, et al.
Earth Science Informatics (2023) Vol. 16, Iss. 2, pp. 1473-1487
Closed Access | Times Cited: 19
Real-time online prediction of surface settlement considering spatiotemporal characteristics during foundation excavation
Xin Ning, Yue An, Lei Ju, et al.
Automation in Construction (2023) Vol. 150, pp. 104831-104831
Closed Access | Times Cited: 16
Data-driven intelligent modeling of unconfined compressive strength of heavy metal-contaminated soil
Syed Taseer Abbas Jaffar, Xiangsheng Chen, Xiaohua Bao, et al.
Journal of Rock Mechanics and Geotechnical Engineering (2024)
Open Access | Times Cited: 6
Explainable Artificial Intelligence: Counterfactual Explanations for Risk-Based Decision-Making in Construction
Jianjiang Zhan, Weili Fang, Peter E.D. Love, et al.
IEEE Transactions on Engineering Management (2024) Vol. 71, pp. 10667-10685
Closed Access | Times Cited: 5
A hybrid data-driven model for geotechnical reliability analysis
Wenli Liu, Ang Li, Weili Fang, et al.
Reliability Engineering & System Safety (2022) Vol. 231, pp. 108985-108985
Closed Access | Times Cited: 26
Deep learning for magnitude prediction in earthquake early warning
Yanwei Wang, Xiaojun Li, Zifa Wang, et al.
Gondwana Research (2022) Vol. 123, pp. 164-173
Open Access | Times Cited: 25
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