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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:

Physics-based machine learning method and the application to energy consumption prediction in tunneling construction
Siyang Zhou, Shanglin Liu, Yilan Kang, et al.
Advanced Engineering Informatics (2022) Vol. 53, pp. 101642-101642
Closed Access | Times Cited: 29

Showing 1-25 of 29 citing articles:

A novel LSTM-autoencoder and enhanced transformer-based detection method for shield machine cutterhead clogging
Chengjin Qin, Ruihong Wu, Guoqiang Huang, et al.
Science China Technological Sciences (2023) Vol. 66, Iss. 2, pp. 512-527
Closed Access | Times Cited: 57
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: 47
Digital twin enabled real-time advanced control of TBM operation using deep learning methods
Limao Zhang, Guo Jing, Xianlei Fu, et al.
Automation in Construction (2023) Vol. 158, pp. 105240-105240
Closed Access | Times Cited: 41
Developing gasification process of polyethylene waste by utilization of response surface methodology as a machine learning technique and multi-objective optimizer approach
Rezgar Hasanzadeh, Parisa Mojaver, Taher Azdast, et al.
International Journal of Hydrogen Energy (2022) Vol. 48, Iss. 15, pp. 5873-5886
Closed Access | Times Cited: 59
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
Physics-informed deep neural network for modeling the chloride diffusion in concrete
Wafaa Mohamed Shaban, Khalid Elbaz, Annan Zhou, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 125, pp. 106691-106691
Closed Access | Times Cited: 26
A novel physics-informed neural network for modeling electromagnetism of a permanent magnet synchronous motor
Seho Son, Hyunseung Lee, Dayeon Jeong, et al.
Advanced Engineering Informatics (2023) Vol. 57, pp. 102035-102035
Closed Access | Times Cited: 25
Prediction of TBM operation parameters using machine learning models based on BPSO
Yao Wang, Jiong Zhao, Kuan Jiang, et al.
Advanced Engineering Informatics (2023) Vol. 56, pp. 101955-101955
Closed Access | Times Cited: 23
Dynamic prediction and optimization of tunneling parameters with high reliability based on a hybrid intelligent algorithm
Hongyu Chen, Qiping Geoffrey Shen, Mirosław J. Skibniewski, et al.
Information Fusion (2024), pp. 102705-102705
Closed Access | Times Cited: 9
Advancements in digital twin modeling for underground spaces and lightweight geometric modeling technologies
Haofeng Gong, Dong Su, Shiqi Zeng, et al.
Automation in Construction (2024) Vol. 165, pp. 105578-105578
Closed Access | Times Cited: 7
Physics-based self-adaptive algorithm for estimating the long-term performance of concrete shrinkage
Wafaa Mohamed Shaban, Shui‐Long Shen, Ayat Gamal Ashour, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 142, pp. 109945-109945
Closed Access
Utilizing Deep Learning and Machine Vision in Tunneling: Classifying Rock Bodies, Assessing Perimeter Rock Quality, and Analyzing Groundwater Distribution
Bo Lv, Tong Sun, Shenglan Yu, et al.
Journal of the Geological Society of India (2025) Vol. 101, Iss. 2, pp. 243-250
Closed Access
Damage localization using a deep learning-based response modeling method
Chengbin Chen, Liqun Tang, Qingkai Xiao, et al.
Computers & Structures (2025) Vol. 310, pp. 107697-107697
Closed Access
Breaking new ground: Opportunities and challenges in tunnel boring machine operations with integrated management systems and artificial intelligence
Jorge Loy-Benitez, Myung Kyu Song, Yo-Hyun Choi, et al.
Automation in Construction (2023) Vol. 158, pp. 105199-105199
Open Access | Times Cited: 10
Big data-driven TBM tunnel intelligent construction system with automated-compliance-checking (ACC) optimization
Xiaojun Li, Sicheng Zhao, Yi Shen, et al.
Expert Systems with Applications (2023) Vol. 244, pp. 122972-122972
Closed Access | Times Cited: 10
Remaining useful life estimation based on selective ensemble of deep neural networks with diversity
Tangbin Xia, Dongyang Han, Yimin Jiang, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102608-102608
Closed Access | Times Cited: 3
A soft ground micro TBM’s specific energy prediction using an eXplainable neural network through Shapley additive explanation and Optuna
Kürşat Kiliç, Hajime Ikeda, Owada Narihiro, et al.
Bulletin of Engineering Geology and the Environment (2024) Vol. 83, Iss. 5
Open Access | Times Cited: 2
No more black-boxes: estimate deformation capacity of non-ductile RC shear walls based on generalized additive models
Zeynep Tuna Değer, Gülşen Taşkın, John W. Wallace
Bulletin of Earthquake Engineering (2024)
Open Access | Times Cited: 2
Developing a data-driven hydraulic excavator fuel consumption prediction system based on deep learning
Haoju Song, Guiqin Li, Xihang Li, et al.
Advanced Engineering Informatics (2023) Vol. 57, pp. 102063-102063
Closed Access | Times Cited: 5
A data-driven approach for railway in-train forces monitoring
Sheng Zhang, Pu Huang, Wenyi Yan
Advanced Engineering Informatics (2023) Vol. 59, pp. 102258-102258
Open Access | Times Cited: 5
智能盾构机及其智能操控技术的发展现状与展望
Yakun Zhang, Guofang Gong, Huayong Yang, et al.
Journal of Zhejiang University. Science A (2024) Vol. 25, Iss. 5, pp. 357-381
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
Intelligent dynamic control of shield parameters using a hybrid algorithm and digital twin platform
Yuan Cao, Shifan Li, Qiping Shen, et al.
Automation in Construction (2024) Vol. 169, pp. 105882-105882
Closed Access | Times Cited: 1
Traceability of abnormal energy consumption modes in grinding systems based on evolution analysis of causal network structure
Mingrui Zhu, Yangjian Ji, Nian Zhang
Advanced Engineering Informatics (2023) Vol. 57, pp. 102119-102119
Closed Access | Times Cited: 2
Intelligent optimization prediction of screw conveyor speed for earth pressure balance shield machine based on complete ensemble empirical mode decomposition of adaptive noise and deep learning
Xuan‐Yu Liu, Mengting Jiang, Wenshuai Zhang, et al.
Measurement (2024) Vol. 240, pp. 115614-115614
Closed Access
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