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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:

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: 32

Showing 1-25 of 32 citing articles:

Time series prediction of tunnel boring machine (TBM) performance during excavation using causal explainable artificial intelligence (CX-AI)
Kunyu Wang, Limao Zhang, Xianlei Fu
Automation in Construction (2023) Vol. 147, pp. 104730-104730
Closed Access | Times Cited: 41
Data-driven joint multiobjective prediction and optimization for tunnel-induced adjacent bridge pier displacement: A case study in China
Hongyu Chen, Jun Liu, Yawei Qin, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 142, pp. 109616-109616
Closed Access | Times Cited: 1
Dynamic prediction for attitude and position of shield machine in tunneling: A hybrid deep learning method considering dual attention
Zeyu Dai, Peinan Li, Mengqi Zhu, et al.
Advanced Engineering Informatics (2023) Vol. 57, pp. 102032-102032
Closed Access | Times Cited: 28
Hybrid modeling for vehicle lateral dynamics via AGRU with a dual-attention mechanism under limited data
Jianwei Chen, Chuanqiang Yu, Yafei Wang, et al.
Control Engineering Practice (2024) Vol. 151, pp. 106015-106015
Closed Access | Times Cited: 10
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: 9
A novel method for settlement imputation and monitoring of earth-rockfill dams subjected to large-scale missing data
Bin Xu, Zhuo Rong, Rui Pang, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102642-102642
Closed Access | Times Cited: 7
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: 19
Autonomous steering control for tunnel boring machines
Zhe Zheng, Kaidi Luo, X.-L. Tan, et al.
Automation in Construction (2024) Vol. 159, pp. 105259-105259
Closed Access | Times Cited: 5
Physics-data driven multi-objective optimization for parallel control of TBM attitude
Limao Zhang, Yongsheng Li, Lulu Wang, et al.
Advanced Engineering Informatics (2025) Vol. 65, pp. 103101-103101
Closed Access
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
Long-term forecasting of shield tunnel position and attitude deviation using the 1DCNN-informer method
Jiajie Zhen, Ming Huang, Shuang Li, et al.
Engineering Science and Technology an International Journal (2025) Vol. 63, pp. 101957-101957
Closed Access
Multi-source information fusion for dynamic safety risk prediction of aerial building machine using spatial–temporal multi-graph convolution network
Jiaqi Wang, Yuqing Fan, Pan Xi, et al.
Advanced Engineering Informatics (2025) Vol. 65, pp. 103261-103261
Closed Access
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 hybrid SNN-STLSTM method for human error assessment in the high-speed railway system
Jian-Lan Zhou, Zhi‐Ming Guo
Advanced Engineering Informatics (2024) Vol. 60, pp. 102408-102408
Closed Access | Times Cited: 4
A novel decomposition and hybrid transfer learning-based method for multi-step cutterhead torque prediction of shield machine
Gang Shi, Chengjin Qin, Zhinan Zhang, et al.
Mechanical Systems and Signal Processing (2024) Vol. 214, pp. 111362-111362
Closed Access | Times Cited: 3
Online multi-objective optimization for tunnel boring machine segment assembly considering stress concentration
Yongsheng Li, Qing Sun, Limao Zhang, et al.
Automation in Construction (2023) Vol. 156, pp. 105127-105127
Closed Access | Times Cited: 6
Life-cycle integrity design method considering load robustness of offshore oil and gas equipment: SCSSV as a case study
Chuntan Gao, Baoping Cai
Ocean Engineering (2024) Vol. 300, pp. 117434-117434
Closed Access | Times Cited: 1
Multi-step and multi-task learning to predict quality-related variables in wastewater treatment processes
Yiqi Liu, Jingyi Yuan, Baoping Cai, et al.
Process Safety and Environmental Protection (2023) Vol. 180, pp. 404-416
Closed Access | Times Cited: 4
Energy-driven TBM health status estimation with a hybrid deep learning approach
Yongsheng Li, Limao Zhang, Yue Pan, et al.
Expert Systems with Applications (2024) Vol. 249, pp. 123701-123701
Closed Access | Times Cited: 1
Prediction of shield tunneling attitude: A hybrid deep learning approach considering feature temporal attention
Liang Zeng, Jia Ao Chen, Chenning Zhang, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 8, pp. 086211-086211
Closed Access | Times Cited: 1
Robust prediction of thrust for tunnel boring machines with adaptive heavy-tailed error distribution
Shuang Li, Qian Zhang, Shanglin Liu, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102619-102619
Closed Access | Times Cited: 1
Automated position control of tunnel boring machine during excavation using deep reinforcement learning considering spatial-temporal dynamics
Penghui Lin, Ankang Ji, Yunxiang Zhou, et al.
Applied Soft Computing (2024), pp. 112234-112234
Closed Access | Times Cited: 1
Explainable deep learning-based dynamic prediction of surface settlement considering temporal characteristics during deep excavation
Xuefeng An, Hanbin Luo, Fei Zheng, et al.
Applied Soft Computing (2024), pp. 112273-112273
Closed Access | Times Cited: 1
Physics-guided deep reinforcement learning for improved operation of TBM considering kinetic inertia stability
Penghui Lin, Limao Zhang, Robert L. K. Tiong, et al.
Advanced Engineering Informatics (2024) Vol. 63, pp. 102943-102943
Closed Access | Times Cited: 1
Research on Tunnel-Boring Machine Main Bearing Fatigue Damage and Vibration Response
Hongliang Zhang, Chuanyong Qu
Metals (2023) Vol. 13, Iss. 4, pp. 650-650
Open Access | Times Cited: 3
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