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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:

Time-series prediction of shield movement performance during tunneling based on hybrid model
Song-Shun Lin, Ning Zhang, Annan Zhou, et al.
Tunnelling and Underground Space Technology (2021) Vol. 119, pp. 104245-104245
Closed Access | Times Cited: 62

Showing 1-25 of 62 citing articles:

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
A data-driven method to model stress-strain behaviour of frozen soil considering uncertainty
Kai-Qi Li, Zhen‐Yu Yin, Ning Zhang, et al.
Cold Regions Science and Technology (2023) Vol. 213, pp. 103906-103906
Closed Access | Times Cited: 40
Success and challenges in predicting TBM penetration rate using recurrent neural networks
Feng Shan, Xuzhen He, Danial Jahed Armaghani, et al.
Tunnelling and Underground Space Technology (2022) Vol. 130, pp. 104728-104728
Closed Access | Times Cited: 66
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
Daily Streamflow Forecasting Based on the Hybrid Particle Swarm Optimization and Long Short-Term Memory Model in the Orontes Basin
Hüseyin Çağan Kılınç
Water (2022) Vol. 14, Iss. 3, pp. 490-490
Open Access | Times Cited: 38
Effects of data smoothing and recurrent neural network (RNN) algorithms for real-time forecasting of tunnel boring machine (TBM) performance
Feng Shan, Xuzhen He, Danial Jahed Armaghani, et al.
Journal of Rock Mechanics and Geotechnical Engineering (2023) Vol. 16, Iss. 5, pp. 1538-1551
Open Access | Times Cited: 27
TBM performance prediction using LSTM-based hybrid neural network model: Case study of Baimang River tunnel project in Shenzhen, China
Qihang Xu, Xin Huang, Baogang Zhang, et al.
Underground Space (2023) Vol. 11, pp. 130-152
Open Access | Times Cited: 22
A spatiotemporal deep learning method for excavation-induced wall deflections
Yuanqin Tao, Shaoxiang Zeng, Honglei Sun, et al.
Journal of Rock Mechanics and Geotechnical Engineering (2024) Vol. 16, Iss. 8, pp. 3327-3338
Open Access | Times Cited: 11
Adaptive mutation sparrow search algorithm-Elman-AdaBoost model for predicting the deformation of subway tunnels
Zhou Xiang-zhen, Wei Hu, Zhongyong Zhang, et al.
Underground Space (2024) Vol. 17, pp. 320-360
Open Access | Times Cited: 8
Performance improvement of machine learning models via wavelet theory in estimating monthly river streamflow
Kegang Wang, Shahab S. Band, Rasoul Ameri, et al.
Engineering Applications of Computational Fluid Mechanics (2022) Vol. 16, Iss. 1, pp. 1833-1848
Open Access | Times Cited: 36
Data-driven multi-step robust prediction of TBM attitude using a hybrid deep learning approach
Kunyu Wang, Xianguo Wu, Limao Zhang, et al.
Advanced Engineering Informatics (2022) Vol. 55, pp. 101854-101854
Closed Access | Times Cited: 33
Applications of Machine Learning in Mechanised Tunnel Construction: A Systematic Review
Feng Shan, Xuzhen He, Haoding Xu, et al.
Eng—Advances in Engineering (2023) Vol. 4, Iss. 2, pp. 1516-1535
Open Access | Times Cited: 16
Modeling the Mechanical Response of Cement-Admixed Clay Under Different Stress Paths Using Recurrent Neural Networks
Chana Phutthananon, Praiya Ratanakijkul, Sompote Youwai, et al.
International Journal of Geosynthetics and Ground Engineering (2024) Vol. 10, Iss. 2
Closed Access | Times Cited: 6
A novel workflow including denoising and hybrid deep learning model for shield tunneling construction parameter prediction
Yuxian Zhang, Xuhua Ren, Jixun Zhang, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108103-108103
Closed Access | Times Cited: 5
A spatiotemporal feature fusion-based deep learning framework for synchronous prediction of excavation stability
Xiong Wang, Yue Pan, Jin-Jian Chen, et al.
Tunnelling and Underground Space Technology (2024) Vol. 147, pp. 105733-105733
Closed Access | Times Cited: 5
TBM disc cutter wear prediction using stratal slicing and IPSO-LSTM in mixed weathered granite stratum
Deyun Mo, Liping Bai, Weiran Huang, et al.
Tunnelling and Underground Space Technology (2024) Vol. 148, pp. 105745-105745
Open Access | Times Cited: 5
Prediction of shield machine attitude parameters based on decomposition and multi-head attention mechanism
Qiushi Wang, Wenqi Ding, Kourosh Khoshelham, et al.
Automation in Construction (2025) Vol. 171, pp. 105973-105973
Closed Access
Deep Learning for Time Series Forecasting: Review and Applications in Geotechnics and Geosciences
Farid Fazel Mojtahedi, Negin Yousefpour, Shiao Huey Chow, et al.
Archives of Computational Methods in Engineering (2025)
Open Access
Multi-objective optimization-based prediction of excavation-induced tunnel displacement
Yuanqin Tao, Wei He, Honglei Sun, et al.
Underground Space (2022) Vol. 7, Iss. 5, pp. 735-747
Closed Access | Times Cited: 27
Data-driven predictions of shield attitudes using Bayesian machine learning
Lai Wang, Qiujing Pan, Shuying Wang
Computers and Geotechnics (2023) Vol. 166, pp. 106002-106002
Closed Access | Times Cited: 13
A deep transfer learning model for the deformation of braced excavations with limited monitoring data
Yuanqin Tao, Shaoxiang Zeng, Tiantian Ying, et al.
Journal of Rock Mechanics and Geotechnical Engineering (2024)
Open Access | Times Cited: 4
Risk assessment of existing buildings in tunnel construction based on an improved cumulative prospect theory method
Laura Harrell ve Eugene B. Chang, Nurhuda Nordin, Xinhua Gu, et al.
Science Progress (2025) Vol. 108, Iss. 1
Open Access
A novel Bi-LSTM method fusing current and historical data for tunnelling parameters of shield tunnel
Dechun Lu, Yihan Liu, Fanchao Kong, et al.
Transportation Geotechnics (2024), pp. 101402-101402
Closed Access | Times Cited: 3
Novel hybrid machine learning models including support vector machine with meta-heuristic algorithms in predicting unconfined compressive strength of organic soils stabilised with cement and lime
Trinh Quoc Ngo, Linh Quy Nguyen, Van Quan Tran
International Journal of Pavement Engineering (2022) Vol. 24, Iss. 2
Closed Access | Times Cited: 17
Perspective Impact on Water Environment and Hydrological Regime Owing to Climate Change: A Review
Mohsin Abbas, Lin‐Shuang Zhao, Yanning Wang
Hydrology (2022) Vol. 9, Iss. 11, pp. 203-203
Open Access | Times Cited: 17
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