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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:

Prediction of geology condition for slurry pressure balanced shield tunnel with super-large diameter by machine learning algorithms
Deming Xu, Yusheng Wang, Jingqi Huang, et al.
Tunnelling and Underground Space Technology (2022) Vol. 131, pp. 104852-104852
Closed Access | Times Cited: 36

Showing 1-25 of 36 citing articles:

Soft ground tunnel lithology classification using clustering-guided light gradient boosting machine
Kürşat Kiliç, Hajime Ikeda, Tsuyoshi Adachi, et al.
Journal of Rock Mechanics and Geotechnical Engineering (2023) Vol. 15, Iss. 11, pp. 2857-2867
Open Access | Times Cited: 25
Long-term safety evaluation of soft rock tunnel structure based on knowledge decision-making and data-driven models
Liangliang Zhao, Wenbo Yang, Zhilong Wang, et al.
Computers and Geotechnics (2024) Vol. 169, pp. 106244-106244
Closed Access | Times Cited: 14
Toward the automation of mechanized tunneling “exploring the use of big data analytics for ground forecast in TBM tunnels”
Saadeldin Mostafa, Rita L. Sousa, Herbert H. Einstein
Tunnelling and Underground Space Technology (2024) Vol. 146, pp. 105643-105643
Closed Access | Times Cited: 12
Enhancing ground classification models for TBM tunneling: Detecting label errors in datasets
Saadeldin Mostafa, Rita L. Sousa
Computers and Geotechnics (2024) Vol. 170, pp. 106301-106301
Closed Access | Times Cited: 8
Machine learning-driven feature importance appraisal of seismic parameters on tunnel damage and seismic fragility prediction
Qi Wang, Ping Geng, Liangjie Wang, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 137, pp. 109101-109101
Closed Access | Times Cited: 6
Novel model for evaluating ground settlement risk in slurry balance shield tunnel construction
Yulin Chen, Shui‐Long Shen, Annan Zhou, et al.
Tunnelling and Underground Space Technology (2024) Vol. 150, pp. 105853-105853
Closed Access | Times Cited: 4
Multi-objective optimization control for shield cutter wear and cutting performance using LightGBM and enhanced NSGA-II
Zi‐Wei Yin, Jian Jiao, Ping Xie, et al.
Automation in Construction (2025) Vol. 171, pp. 105957-105957
Closed Access
How effective are discrete-continuous multi-task learning compared to single-output models? Insights from travel mode and departure time analysis
Mohamad Ali Khalil, Mahmudur Rahman Fatmi
Expert Systems with Applications (2025), pp. 127002-127002
Open Access
An unsupervised incremental learning model to predict geological conditions for earth pressure balance shield tunneling
Jiajie Zhen, Fengwen Lai, Jim Shiau, et al.
Journal of Rock Mechanics and Geotechnical Engineering (2025)
Open Access
Leveraging machine learning algorithms for improved disaster preparedness and response through accurate weather pattern and natural disaster prediction
Harshita Jain, Renu Dhupper, Anamika Shrivastava, et al.
Frontiers in Environmental Science (2023) Vol. 11
Open Access | Times Cited: 11
Safety risk assessment of shield tunneling under existing tunnels: A hybrid trapezoidal cloud model and Bayesian network approach
Hongyu Chen, Qiping Shen, Zongbao Feng, et al.
Tunnelling and Underground Space Technology (2024) Vol. 152, pp. 105936-105936
Closed Access | Times Cited: 3
Machine learning-based performance prediction for energy storage medium-deep borehole ground source heat pump systems
Huan Wang, Jiuchen Ma, Changfeng Wang, et al.
Journal of Building Engineering (2024), pp. 111471-111471
Closed Access | Times Cited: 3
Active learning framework for tunnel geological reconstruction based on TBM operational data
Hao Wang, Lixue Liu, Maolin Shi, et al.
Automation in Construction (2023) Vol. 158, pp. 105230-105230
Closed Access | Times Cited: 7
Evaluation and machine learning prediction on thermal performance of energy walls in underground spaces as part of ground source heat pump systems
Shuaijun Hu, Gangqiang Kong, Yinzhe Hong, et al.
Tunnelling and Underground Space Technology (2024) Vol. 148, pp. 105750-105750
Closed Access | Times Cited: 2
Machine Learning-Based Classification of Rock Bursts in an Active Coal Mine Dominated by Non-Destructive Tremors
Łukasz Wojtecki, Mirosława Bukowska, Sebastian Iwaszenko, et al.
Applied Sciences (2024) Vol. 14, Iss. 12, pp. 5209-5209
Open Access | Times Cited: 2
Real-time classification of ground conditions ahead of a TBM using supervised machine learning algorithms
Sylvanus Sebbeh-Newton, Jamel Seidu, Mawuko Luke Yaw Ankah, et al.
Modeling Earth Systems and Environment (2024) Vol. 10, Iss. 5, pp. 6173-6186
Closed Access | Times Cited: 2
Prediction of abnormal TBM disc cutter wear in mixed ground condition using interpretable machine learning with data augmentation
Kibeom Kwon, Hangseok Choi, Jaehoon Jung, et al.
Journal of Rock Mechanics and Geotechnical Engineering (2024)
Open Access | Times Cited: 2
Method for real-time prediction of cutter wear during shield tunnelling: A new wear rate index and MCNN-GRU
Nan Zhang, Lin‐Shuang Zhao
MethodsX (2023) Vol. 10, pp. 102017-102017
Open Access | Times Cited: 5
Experimental study on the influences of cutter geometry and material on scraper wear during shield TBM tunnelling in abrasive sandy ground
Shao-Hui Tang, Xiao-Ping Zhang, Quansheng Liu, et al.
Journal of Rock Mechanics and Geotechnical Engineering (2023) Vol. 16, Iss. 2, pp. 410-425
Open Access | Times Cited: 5
Monitoring and geological advance prediction for tunnel construction: A case study of shangzhuang tunnel
Juan Li, Rengye Zhao, Shengliang Cao, et al.
Research Square (Research Square) (2024)
Open Access | Times Cited: 1
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
Predictive Modeling and Optimization of Layer-Cladded Ti-Al-Nb-Zr High-Entropy Alloys Using Machine Learning
Ruirui Dai, Hua Guo, Jianying Liu, et al.
Coatings (2024) Vol. 14, Iss. 10, pp. 1319-1319
Open Access | Times Cited: 1
Factors Influencing the Carbon Footprint of Major Road Infrastructure—A Case Study of the Učka Tunnel
Hrvoje Grofelnik, Nataša Kovačić
Sustainability (2023) Vol. 15, Iss. 5, pp. 4461-4461
Open Access | Times Cited: 3
Study on the Stress and Deformation Characteristics of Shield Tunneling Through Mining Tunnel Structure
Entong Du, Lei Zhou, Ruizhen Fei
(2023)
Open Access | Times Cited: 2
Evaluation of Jacking Forces in Weathered Phyllite Based on In Situ Pressuremeter Testing and Deep Learning
Lit Yen Yeo, Fredrik Phangkawira, Pei Gee Kueh, et al.
Geosciences (2024) Vol. 14, Iss. 3, pp. 55-55
Open Access
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