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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:

Generative adversarial network for geological prediction based on TBM operational data
Chao Zhang, Minming Liang, Xueguan Song, et al.
Mechanical Systems and Signal Processing (2021) Vol. 162, pp. 108035-108035
Closed Access | Times Cited: 46

Showing 1-25 of 46 citing articles:

An adaptive hierarchical decomposition-based method for multi-step cutterhead torque forecast of shield machine
Chengjin Qin, Gang Shi, Jianfeng Tao, et al.
Mechanical Systems and Signal Processing (2022) Vol. 175, pp. 109148-109148
Closed Access | Times Cited: 76
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
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
A multi-stage data augmentation and AD-ResNet-based method for EPB utilization factor prediction
Honggan Yu, Hao Sun, Jianfeng Tao, et al.
Automation in Construction (2023) Vol. 147, pp. 104734-104734
Closed Access | Times Cited: 55
A review on Generative Adversarial Networks for image generation
Vinicius Luis Trevisan de Souza, Bruno Augusto Dorta Marques, Harlen Costa Batagelo, et al.
Computers & Graphics (2023) Vol. 114, pp. 13-25
Closed Access | Times Cited: 48
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: 20
An accurate and adaptative cutterhead torque prediction method for shield tunneling machines via adaptative residual long-short term memory network
Yanrui Jin, Chengjin Qin, Jianfeng Tao, et al.
Mechanical Systems and Signal Processing (2021) Vol. 165, pp. 108312-108312
Closed Access | Times Cited: 60
A novel constrained dense convolutional autoencoder and DNN-based semi-supervised method for shield machine tunnel geological formation recognition
Honggan Yu, Jianfeng Tao, Chengjin Qin, et al.
Mechanical Systems and Signal Processing (2021) Vol. 165, pp. 108353-108353
Closed Access | Times Cited: 60
Geological information prediction for shield machine using an enhanced multi-head self-attention convolution neural network with two-stage feature extraction
Chengjin Qin, Guoqiang Huang, Honggan Yu, et al.
Geoscience Frontiers (2022) Vol. 14, Iss. 2, pp. 101519-101519
Open Access | Times Cited: 45
Geological type recognition for shield machine using a semi-supervised variational auto-encoder-based adversarial method
Haodi Wang, Chengjin Qin, Honggan Yu, et al.
Tunnelling and Underground Space Technology (2024) Vol. 156, pp. 106258-106258
Closed Access | Times Cited: 9
Multi-fidelity strength monitoring method for dynamic response of deep-sea pipelines based on digital-twin technology
Jianxing Yu, Zihang Jin, Yu Yang, et al.
Applied Ocean Research (2025) Vol. 154, pp. 104414-104414
Open Access | Times Cited: 1
Generative adversarial physics-informed neural networks for solving forward and inverse problem with small labeled samples
Wensheng Li, Chuncheng Wang, Hanting Guan, et al.
Computers & Mathematics with Applications (2025) Vol. 183, pp. 98-120
Closed Access | Times Cited: 1
An integrated parameter prediction framework for intelligent TBM excavation in hard rock
Xin Wang, Hehua Zhu, Mengqi Zhu, et al.
Tunnelling and Underground Space Technology (2021) Vol. 118, pp. 104196-104196
Closed Access | Times Cited: 52
Prediction of geology condition for slurry pressure balanced shield tunnel with super-large diameter by machine learning algorithms
Deming Xu, Yusheng Wang, Jingqi Huang, et al.
Tunnelling and Underground Space Technology (2022) Vol. 131, pp. 104852-104852
Closed Access | Times Cited: 37
SSA-LSTM: Short-Term Photovoltaic Power Prediction Based on Feature Matching
Zhengwei Huang, Jin Huang, Jintao Min
Energies (2022) Vol. 15, Iss. 20, pp. 7806-7806
Open Access | Times Cited: 31
TBM tunneling strata automatic identification and working conditions decision support
Kang Fu, Daohong Qiu, Yiguo Xue, et al.
Automation in Construction (2024) Vol. 163, pp. 105425-105425
Closed Access | Times Cited: 9
Time series clustering-enabled geological condition perception in tunnel boring machine excavation
Yue Pan, Maozhi Wu, Limao Zhang, et al.
Automation in Construction (2023) Vol. 153, pp. 104954-104954
Closed Access | Times Cited: 15
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: 6
Establishment and implementation of an artificial intelligent flume for investigating local scour around underwater foundations
Chen Wang, Qiuyue Wu, Jiaxin Liang, et al.
Transportation Geotechnics (2024) Vol. 49, pp. 101433-101433
Closed Access | Times Cited: 6
Image quality enhancement using HybridGAN for automated railway track defect recognition
Min-Yuan Cheng, Riqi Radian Khasani, Kent Setiono
Automation in Construction (2022) Vol. 146, pp. 104669-104669
Closed Access | Times Cited: 22
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: 4
Deep learning for safety risk management in modular construction: Status, strengths, challenges, and future directions
Yin Junjia, Aidi Hizami Alias, Nuzul Azam Haron, et al.
Automation in Construction (2024) Vol. 169, pp. 105894-105894
Closed Access | Times Cited: 4
Generative adversarial network–assisted image classification for imbalanced tire X-ray defect detection
Shuang Gao, Yun Dai, Yongchao Xu, et al.
Transactions of the Institute of Measurement and Control (2023) Vol. 45, Iss. 8, pp. 1492-1504
Closed Access | Times Cited: 11
Intelligent recognition of tunnel lining defects based on deep learning: Methods, challenges and prospects
Zhong Zhou, Shishuai Li, Longbin Yan, et al.
Engineering Failure Analysis (2025), pp. 109332-109332
Closed Access
Dual Deep Autoencoder Split Generative Adversarial Networks with Gooseneck Barnacle Optimization-Based Prediction of Autism Spectrum Disorder in Facial Images
Jyothi Goddu, S. Anuradha, Y. Srinivas
International Journal of Computational Intelligence and Applications (2025)
Closed Access
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