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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:

Time series prediction of tunnel boring machine (TBM) performance during excavation using causal explainable artificial intelligence (CX-AI)
Kunyu Wang, Limao Zhang, Xianlei Fu
Automation in Construction (2023) Vol. 147, pp. 104730-104730
Closed Access | Times Cited: 41

Showing 1-25 of 41 citing articles:

Explainable artificial intelligence (XAI): Precepts, models, and opportunities for research in construction
Peter E.D. Love, Weili Fang, Jane Matthews, et al.
Advanced Engineering Informatics (2023) Vol. 57, pp. 102024-102024
Closed Access | Times Cited: 53
Predicting existing tunnel deformation from adjacent foundation pit construction using hybrid machine learning
Xianguo Wu, Zongbao Feng, Jun Liu, et al.
Automation in Construction (2024) Vol. 165, pp. 105516-105516
Closed Access | Times Cited: 23
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
Extreme fine-tuning and explainable AI model for non-destructive prediction of concrete compressive strength, the case of ConcreteXAI dataset
José A. Guzmán-Torres, Francisco J. Domínguez-Mota, G. Tinoco-Guerrero, et al.
Advances in Engineering Software (2024) Vol. 192, pp. 103630-103630
Closed Access | Times Cited: 5
XGBoost and genetic programming methods for analysing the vitreous transition of the epoxy adhesive
Songbo Wang, Yaqiong Cai, Jun Su, et al.
Journal of Adhesion Science and Technology (2025), pp. 1-26
Closed Access
Multi-source information fusion for dynamic safety risk prediction of aerial building machine using spatial–temporal multi-graph convolution network
Jiaqi Wang, Yuqing Fan, Pan Xi, et al.
Advanced Engineering Informatics (2025) Vol. 65, pp. 103261-103261
Closed Access
Physics-informed deep reinforcement learning for enhancement on tunnel boring machine's advance speed and stability
Penghui Lin, Maozhi Wu, Zhonghua Xiao, et al.
Automation in Construction (2023) Vol. 158, pp. 105234-105234
Closed Access | Times Cited: 14
Ensemble deep learning enabled multi-condition generative design of aerial building machine considering uncertainties
Jiaqi Wang, Ke Chen, Hui Yang, et al.
Automation in Construction (2023) Vol. 157, pp. 105134-105134
Closed Access | Times Cited: 13
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: 4
Driving forces analysis of urban ground deformation using satellite monitoring and multiscale geographically weighted regression
Limao Zhang, Yongsheng Li, Rongyao Li
Measurement (2023) Vol. 214, pp. 112778-112778
Closed Access | Times Cited: 10
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
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: 3
Trustworthy machine learning-enhanced 3D concrete printing: Predicting bond strength and designing reinforcement embedment length
Xinrui Ma, Xianlin Wang, Shi‐Zhi Chen
Automation in Construction (2024) Vol. 168, pp. 105754-105754
Closed Access | Times Cited: 3
A novel Bi-LSTM method fusing current and historical data for tunnelling parameters of shield tunnel
Dechun Lu, Yihan Liu, Fanchao Kong, et al.
Transportation Geotechnics (2024), pp. 101402-101402
Closed Access | Times Cited: 3
Generative adversarial network for optimization of operational parameters based on shield posture requirements
Peinan Li, Zeyu Dai, Yi Rui, et al.
Automation in Construction (2024) Vol. 165, pp. 105553-105553
Closed Access | Times Cited: 2
Settlement estimation during foundation excavation using pattern analysis and explainable AI modeling
Chen Yang, Chen Wang, Bin Wu, et al.
Automation in Construction (2024) Vol. 166, pp. 105651-105651
Closed Access | Times Cited: 2
Data-driven prediction for curved pipe jacking performance during underwater excavation of ancient shipwreck using an attention-based graph convolutional network approach
Zeyu Dai, Peinan Li, Jun Liu, et al.
Expert Systems with Applications (2023) Vol. 236, pp. 121393-121393
Closed Access | Times Cited: 5
Inverting continuous in-tunnel passive seismic data for velocity structure mapping ahead of the TBM cutterhead
Enhedelihai Nilot, Yunyue Elita Li, Gang Fang, et al.
Tunnelling and Underground Space Technology (2024) Vol. 151, pp. 105855-105855
Closed Access | Times Cited: 1
A novel method for subgrade cumulative deformation prediction of high-speed railways based on empiricism-constrained neural network and SHapley Additive exPlanations analysis
Zhixing Deng, Linrong Xu, Qian Su, et al.
Transportation Geotechnics (2024) Vol. 49, pp. 101438-101438
Closed Access | Times Cited: 1
Deep neural networks for corporate misconduct prediction in construction industry using data from social networks
Ran Wang, Yanyan Liu, Bin Xue, et al.
Automation in Construction (2024) Vol. 162, pp. 105361-105361
Closed Access | Times Cited: 1
Inspection method of the corrosion rate for underwater grouting sleeves by integrating ultrasonic data augmentation and interpretable ensemble learning
Wei Wang, Shao-Fei Jiang, Hualin Song, et al.
Measurement (2024) Vol. 237, pp. 115184-115184
Closed Access | Times Cited: 1
Interpretable predictive modeling of non-stationary long time series
Dunwang Qin, Zhen Peng, Lifeng Wu
Computers & Industrial Engineering (2024) Vol. 194, pp. 110412-110412
Closed Access | Times Cited: 1
The interpretable long-term and short-term memory model was used to predict the change of total phosphorus concentration in lakes
Ding Yiding, Fan Hongxiang, Ligang Xu, et al.
Journal of Lake Sciences (2024) Vol. 36, Iss. 4, pp. 1046-1059
Open Access | Times Cited: 1
Development and Application of Adaptive Evaluation System for TBM Tunneling Based on Case-Based Reasoning
Jinwu Zhan, Jiacheng Wang, Song Chen, et al.
Sustainability (2023) Vol. 15, Iss. 7, pp. 5768-5768
Open Access | Times Cited: 2
Anomaly detection method for TBM construction based on improved VMD-XGBoost-BILSTM combined model
Zhipeng Lü, Kebin Shi
Earth Science Informatics (2023) Vol. 16, Iss. 4, pp. 4273-4284
Closed Access | Times Cited: 2
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