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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:

Intelligent assistant driving method for tunnel boring machine based on big data
Dong Guo, Jinhui Li, Shui‐Hua Jiang, et al.
Acta Geotechnica (2021) Vol. 17, Iss. 4, pp. 1019-1030
Closed Access | Times Cited: 77

Showing 1-25 of 77 citing articles:

Deep learning-based data analytics for safety in construction
Jiajing Liu, Hanbin Luo, Junxiao Liu
Automation in Construction (2022) Vol. 140, pp. 104302-104302
Closed Access | Times Cited: 84
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: 63
Attention-based LSTM predictive model for the attitude and position of shield machine in tunneling
Qing Kang, Elton J. Chen, Zhongchao Li, et al.
Underground Space (2023) Vol. 13, pp. 335-350
Open Access | Times Cited: 57
A multi-channel decoupled deep neural network for tunnel boring machine torque and thrust prediction
Honggan Yu, Chengjin Qin, Jianfeng Tao, et al.
Tunnelling and Underground Space Technology (2023) Vol. 133, pp. 104949-104949
Closed Access | Times Cited: 55
Feedback on a shared big dataset for intelligent TBM Part I: Feature extraction and machine learning methods
Jianbin Li, Zuyu Chen, Xu Li, et al.
Underground Space (2023) Vol. 11, pp. 1-25
Open Access | Times Cited: 52
Feature fusion method for rock mass classification prediction and interpretable analysis based on TBM operating and cutter wear data
Wen‐Kun Yang, Zuyu Chen, Haitao Zhao, et al.
Tunnelling and Underground Space Technology (2025) Vol. 157, pp. 106351-106351
Closed Access | Times Cited: 4
Advance prediction of collapse for TBM tunneling using deep learning method
Dong Guo, Jinhui Li, Xu Li, et al.
Engineering Geology (2022) Vol. 299, pp. 106556-106556
Closed Access | Times Cited: 54
Prediction of shield machine posture using the GRU algorithm with adaptive boosting: A case study of Chengdu Subway project
Haohan Xiao, Zuyu Chen, Ruilang Cao, et al.
Transportation Geotechnics (2022) Vol. 37, pp. 100837-100837
Closed Access | Times Cited: 47
Feedback on a shared big dataset for intelligent TBM Part II: Application and forward look
Jianbin Li, Zuyu Chen, Xu Li, et al.
Underground Space (2023) Vol. 11, pp. 26-45
Open Access | Times Cited: 35
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: 31
Prediction of TBM operation parameters using machine learning models based on BPSO
Yao Wang, Jiong Zhao, Kuan Jiang, et al.
Advanced Engineering Informatics (2023) Vol. 56, pp. 101955-101955
Closed 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: 26
An intelligent method for TBM surrounding rock classification based on time series segmentation of rock-machine interaction data
Yadong Xue, Wei Luo, Liang Chen, et al.
Tunnelling and Underground Space Technology (2023) Vol. 140, pp. 105317-105317
Closed Access | Times Cited: 24
A performance-based hybrid deep learning model for predicting TBM advance rate using Attention-ResNet-LSTM
Sihao Yu, Zixin Zhang, Shuaifeng Wang, et al.
Journal of Rock Mechanics and Geotechnical Engineering (2023) Vol. 16, Iss. 1, pp. 65-80
Open Access | Times Cited: 24
Physics-guided deep learning for driving force estimation in synchronous tunnel boring machines under missing cylinders
Yongsheng Li, Yue Pan, Limao Zhang
Automation in Construction (2024) Vol. 161, pp. 105339-105339
Closed Access | Times Cited: 11
Attitude-Predictive Control of Large-Diameter Shield Tunneling: PCA-SVR Machine Learning Algorithm Application in a Case Study of the Zhuhai Xingye Express Tunnel
Hui Li, Yijun Tan, Decheng Zeng, et al.
Applied Sciences (2025) Vol. 15, Iss. 4, pp. 1880-1880
Open Access | Times Cited: 1
Artificial intelligence in construction: Topic-based technology mapping based on patent data
Guangbin Wang, Yiwei Zhou, Dongping Cao
Automation in Construction (2025) Vol. 172, pp. 106073-106073
Closed Access | Times Cited: 1
A real-time rock mass class identification model of the tunnel face based on TBM tunneling and the corresponding muck characteristic parameters
Liu Huang, Qiuming Gong, Wang Ju, et al.
International Journal of Rock Mechanics and Mining Sciences (2025) Vol. 188, pp. 106057-106057
Closed Access | Times Cited: 1
Transfer learning for collapse warning in TBM tunneling using databases in China
Jinhui Li, Dong Guo, Zuyu Chen, et al.
Computers and Geotechnics (2023) Vol. 166, pp. 105968-105968
Closed Access | Times Cited: 22
Rapid intelligent evaluation method and technology for determining engineering rock mass quality
Faquan Wu, Jie Wu, Han Bao, et al.
Rock Mechanics Bulletin (2023) Vol. 2, Iss. 2, pp. 100038-100038
Open Access | Times Cited: 20
Cross-project prediction for rock mass using shuffled TBM big dataset and knowledge-based machine learning methods
YunPei Zhang, Zuyu Chen, Feng Jin, et al.
Science China Technological Sciences (2023) Vol. 66, Iss. 3, pp. 751-770
Open Access | Times Cited: 20
Influences of tunnelling parameters in tunnel boring machine on stress and displacement characteristics of surrounding rocks
Kangjian Zhang, Xing Zhao, Zhiqiang Zhang
Tunnelling and Underground Space Technology (2023) Vol. 137, pp. 105129-105129
Closed Access | Times Cited: 18
Cross-project utilisation of tunnel boring machine (TBM) construction data: a case study using big data from Yin-Song diversion project in China
Xu Li, Haibo Li, Saizhao Du, et al.
Georisk Assessment and Management of Risk for Engineered Systems and Geohazards (2023) Vol. 17, Iss. 1, pp. 127-147
Closed Access | Times Cited: 17
Probabilistic machine learning approach to predict incompetent rock masses in TBM construction
Wenkun Yang, Jian Zhao, Jianchun Li, et al.
Acta Geotechnica (2023) Vol. 18, Iss. 9, pp. 4973-4991
Closed Access | Times Cited: 17
Deep learning characterization of rock conditions based on tunnel boring machine data
Xu Li, Min Yao, Jidong Yuan, et al.
Underground Space (2023) Vol. 12, pp. 89-101
Open Access | Times Cited: 17
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