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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:

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

Showing 12 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
A data driven real-time perception method of rock condition in TBM construction
Xu Li, Lei-jie Wu, Yujie Wang, et al.
Canadian Geotechnical Journal (2023) Vol. 61, Iss. 5, pp. 1018-1034
Closed Access | Times Cited: 13
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
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
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
Prediction of tunnel face rock mass classification using an ensemble model enhanced by feature cross based on TBM boring data
Lei-jie Wu, Le-chen Wang, Shuangjing Wang, et al.
Tunnelling and Underground Space Technology (2025) Vol. 162, pp. 106647-106647
Closed Access
Physics-informed and data-driven machine learning of rock mass classification using prior geological knowledge and TBM operational data
Chenhao Zhang, Yu Wang, Lei-jie Wu, et al.
Tunnelling and Underground Space Technology (2024) Vol. 152, pp. 105923-105923
Closed Access | Times Cited: 2
Measurement and enhancing prediction of EPBM torque using actual Machine data
Ali Koohsari, Roohollah Kalatehjari, Sayfoddin Moosazadeh, et al.
Measurement (2023) Vol. 223, pp. 113780-113780
Open Access | Times Cited: 4
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
LightGBM integration with modified data balancing and whale optimization algorithm for rock mass classification
Long Li
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1
EMNet: An ensemble deep learning approach for geological condition detection during tunnel excavation
Xianlei Fu, Robert L. K. Tiong, Limao Zhang
Expert Systems with Applications (2024), pp. 125484-125484
Closed Access
A New Prediction Model of Cutterhead Torque in Soil Strata Based on Ultra-Large Section EPB Pipe Jacking Machine
Jianwei Lu, Bo Sun, Qiuming Gong, et al.
Infrastructures (2024) Vol. 9, Iss. 12, pp. 212-212
Open Access
A Jamming Risk Warning Model for TBM tunnelling Based on Bayesian Statistical Methods
Shuangjing Wang, Le-chen Wang, Lei-jie Wu, et al.
(2024)
Closed Access
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