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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:

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: 15

Showing 15 citing articles:

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: 1
Data visualization strategy for predicting rock mass classification with TBM key rock-fragmentation parameters
Zi-kai Dong, Hongwei Yu, Guoshuai Tian, et al.
Transportation Geotechnics (2025), pp. 101489-101489
Closed Access
Bidirectional denoising method based on Fast Fourier transform analysis for TBM field penetration data
Wenkun Yang, Zuyu Chen, Haitao Zhao, et al.
Tunnelling and Underground Space Technology (2025) Vol. 158, pp. 106436-106436
Closed Access
Prediction model of TBM response parameters based on a hybrid drive of knowledge and data
Min Yao, Xu Li, Yuan-en Pang, et al.
Tunnelling and Underground Space Technology (2025) Vol. 161, pp. 106598-106598
Closed Access
Study of Cross-Project Prediction of Rock Mass Classification Based on Feature Fusion
Zi-kai Dong, Xu Li, Hongwei Yu, et al.
Journal of Computing in Civil Engineering (2025) Vol. 39, Iss. 4
Closed Access
Rock fragmentation indexes reflecting rock mass quality based on real-time data of TBM tunnelling
Xu Li, Lei-jie Wu, Yujie Wang, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 12
Research on Multi-Objective Optimization of Shield Tunneling Parameters Based on Power Consumption and Efficiency
Wei Wang, Feng Huanhuan, Yanzong Li, et al.
Sustainability (2024) Vol. 16, Iss. 14, pp. 6152-6152
Open Access | Times Cited: 3
Data-driven AI algorithms for construction machinery
Ke Liang, Jiahao Zhao, Zhiqing Zhang, et al.
Automation in Construction (2024) Vol. 167, pp. 105648-105648
Closed Access | Times Cited: 2
Comparison and analysis of denoising method in TBM key tunnelling data
Zi-kai Dong, Peng-yu Li, Min Yao, et al.
Georisk Assessment and Management of Risk for Engineered Systems and Geohazards (2024), pp. 1-14
Closed Access | Times Cited: 2
Learning the hard-to-learn: Active learning for imbalanced datasets in data-centric tunnel engineering
Xiao Yuan, Shuying Wang, Tongming Qu, et al.
Computers and Geotechnics (2024) Vol. 174, pp. 106629-106629
Closed Access
Real-time prediction of TBM penetration rates using a transformer-based ensemble deep learning model
Minggong Zhang, Ankang Ji, Chang Zhou, et al.
Automation in Construction (2024) Vol. 168, pp. 105793-105793
Closed Access
Enhancing Large-Diameter Tunnel Construction Safety with Robust Optimization and Machine Learning Integrated into BIM
Jagendra Singh, Prabhishek Singh, Vinayakumar Ravi, et al.
The Open Civil Engineering Journal (2024) Vol. 18, Iss. 1
Open Access
Real-Time Prediction of TBM Response Parameters Based on Temporal Convolutional Network
Yuan-en Pang, Zi-kai Dong, Hongwei Yu, et al.
Journal of Computing in Civil Engineering (2024) Vol. 39, Iss. 1
Closed Access
Identification of Disc Cutter Wear via Operation Parameters Combined With Vibration Data: A Case Study
Yanning Wang, Han Chen, Xinhao Min, et al.
International Journal for Numerical and Analytical Methods in Geomechanics (2024) Vol. 49, Iss. 1, pp. 256-279
Closed Access
Machine Learning Approach to Predict Geology Ahead of Tunnel Boring Machine Face: Review and New Model
Imran Landage, Ketan Arora
Springer series in geomechanics and geoengineering (2024), pp. 369-381
Closed Access
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