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:

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

Showing 9 citing articles:

Decoupling analysis of inertia effects in tunnel boring machine using a data-physics driven approach
Yongsheng Li, Limao Zhang
Tunnelling and Underground Space Technology (2025) Vol. 157, pp. 106367-106367
Closed Access

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

Image-based prediction for enclosure structure deformation in pipe-roof tunnel construction using a physical-guided and generative deep learning method
Cheng Zhang, Yue Pan, Jin-Jian Chen
Automation in Construction (2025) Vol. 171, pp. 106002-106002
Closed Access

Physics-inspired deep learning for bridge scour prediction: site-specific and transferable models
Negin Yousefpour, Bo Wang
Georisk Assessment and Management of Risk for Engineered Systems and Geohazards (2025), pp. 1-24
Open Access

Physics Informed Machine Learning (PIML) for Design, Management and Resilience-Development of Urban Infrastructures: Concept, State-of-the-Art, Challenges and Opportunities
Alvin Wei Ze Chew, Renfei He, Limao Zhang
Archives of Computational Methods in Engineering (2024)
Closed Access | Times Cited: 4

Smart control of bridge support forces using adaptive bearings based on physics-informed neural network (PINN)
Huan Yan, Hongye Gou, Fei Hu, et al.
Automation in Construction (2024) Vol. 168, pp. 105790-105790
Closed Access | Times Cited: 1

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

Rolling contact fatigue analysis of the soft zone for the main bearing in a tunnel boring machine
Xinqi Wang, Wei Sun, Lintao Wang, et al.
Engineering Failure Analysis (2024) Vol. 162, pp. 108363-108363
Closed Access | Times Cited: 1

From raw to refined: Data preprocessing for construction machine learning (ML), deep learning (DL), and reinforcement learning (RL) models
SeyedeZahra Golazad, Abbas Mohammadi, Abbas Rashidi, et al.
Automation in Construction (2024) Vol. 168, pp. 105844-105844
Closed Access | Times Cited: 1

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