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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:

BIM, machine learning and computer vision techniques in underground construction: Current status and future perspectives
Mengqi Huang, Jelena Ninić, Qianbing Zhang
Tunnelling and Underground Space Technology (2020) Vol. 108, pp. 103677-103677
Open Access | Times Cited: 275

Showing 1-25 of 275 citing articles:

Study on city digital twin technologies for sustainable smart city design: A review and bibliometric analysis of geographic information system and building information modeling integration
Haishan Xia, Zishuo Liu, Maria Efremochkina, et al.
Sustainable Cities and Society (2022) Vol. 84, pp. 104009-104009
Closed Access | Times Cited: 231
Machine Learning Methods for Small Data Challenges in Molecular Science
Bozheng Dou, Zailiang Zhu, Ekaterina Merkurjev, et al.
Chemical Reviews (2023) Vol. 123, Iss. 13, pp. 8736-8780
Open Access | Times Cited: 190
Statistical analysis of major tunnel construction accidents in China from 2010 to 2020
Yimo Zhu, Zhou Jianjun, Bing Zhang, et al.
Tunnelling and Underground Space Technology (2022) Vol. 124, pp. 104460-104460
Closed Access | Times Cited: 85
Transformer‐optimized generation, detection, and tracking network for images with drainage pipeline defects
Duo Ma, Hongyuan Fang, Niannian Wang, et al.
Computer-Aided Civil and Infrastructure Engineering (2023) Vol. 38, Iss. 15, pp. 2109-2127
Closed Access | Times Cited: 61
Feedback on a shared big dataset for intelligent TBM Part I: Feature extraction and machine learning methods
Jianbin Li, Zuyu Chen, Xu Li, et al.
Underground Space (2023) Vol. 11, pp. 1-25
Open Access | Times Cited: 52
Automated detection and segmentation of tunnel defects and objects using YOLOv8-CM
Chaohui Zhang, Xiangsheng Chen, Peng Liu, et al.
Tunnelling and Underground Space Technology (2024) Vol. 150, pp. 105857-105857
Closed Access | Times Cited: 23
TunGPR: Enhancing data-driven maintenance for tunnel linings through synthetic datasets, deep learning and BIM
Huamei Zhu, Mengqi Huang, Qianbing Zhang
Tunnelling and Underground Space Technology (2024) Vol. 145, pp. 105568-105568
Open Access | Times Cited: 22
Integrating Building Information Modeling (BIM) for optimal lifecycle management of complex structures
Mohammed Awad Abuhussain, Ahsan Waqar, Abdul Mateen Khan, et al.
Structures (2024) Vol. 60, pp. 105831-105831
Closed Access | Times Cited: 20
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: 20
Towards digitalized maintenance of operating tunnels: A text documents-based defect evaluation and visualization
Xuefeng Ou, Cong Tang, Tongming Qu, et al.
Tunnelling and Underground Space Technology (2025) Vol. 157, pp. 106345-106345
Closed Access | Times Cited: 4
A modular automated modelling framework for cut-and-cover excavations in mixed ground conditions
Yuxi Liu, Jian Zhao, Qianbing Zhang
Tunnelling and Underground Space Technology (2025) Vol. 158, pp. 106384-106384
Open Access | Times Cited: 4
Multi-step prediction model enhanced by adaptive denoising and encoder-decoder for shield machine cutterhead torque in complex conditions
Deming Xu, Yuan Wang, Jingqi Huang, et al.
Tunnelling and Underground Space Technology (2025) Vol. 158, pp. 106398-106398
Closed Access | Times Cited: 3
A digital twin-based decision analysis framework for operation and maintenance of tunnels
Gang Yu, Yi Wang, Zeyu Mao, et al.
Tunnelling and Underground Space Technology (2021) Vol. 116, pp. 104125-104125
Closed Access | Times Cited: 97
Real-time prediction of rockburst intensity using an integrated CNN-Adam-BO algorithm based on microseismic data and its engineering application
Xin Yin, Quansheng Liu, Xing Huang, et al.
Tunnelling and Underground Space Technology (2021) Vol. 117, pp. 104133-104133
Closed Access | Times Cited: 71
Automatic tunnel lining crack evaluation and measurement using deep learning
L. Minh Dang, Hanxiang Wang, Yanfen Li, et al.
Tunnelling and Underground Space Technology (2022) Vol. 124, pp. 104472-104472
Closed Access | Times Cited: 68
Construction and maintenance of urban underground infrastructure with digital technologies
Mingzhu Wang, Xianfei Yin
Automation in Construction (2022) Vol. 141, pp. 104464-104464
Open Access | Times Cited: 62
Big Data in Construction: Current Applications and Future Opportunities
Hafiz Suliman Munawar, Fahim Ullah, Siddra Qayyum, et al.
Big Data and Cognitive Computing (2022) Vol. 6, Iss. 1, pp. 18-18
Open Access | Times Cited: 60
Multi-LOD BIM for underground metro station: Interoperability and design-to-design enhancement
Mengqi Huang, Huamei Zhu, Jelena Ninić, et al.
Tunnelling and Underground Space Technology (2021) Vol. 119, pp. 104232-104232
Closed Access | Times Cited: 58
Machine learning-based forecasting of soil settlement induced by shield tunneling construction
Xiao‐Wei Ye, Tao Jin, Yunmin Chen
Tunnelling and Underground Space Technology (2022) Vol. 124, pp. 104452-104452
Closed Access | Times Cited: 52
Predicting Chronic Kidney Disease Using Hybrid Machine Learning Based on Apache Spark
Manal A. Abdel-Fattah, Nermin Abdelhakim Othman, Nagwa Goher
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-12
Open Access | Times Cited: 47
Automatic sewer defect detection and severity quantification based on pixel-level semantic segmentation
Qianqian Zhou, Zuxiang Situ, Shuai Teng, et al.
Tunnelling and Underground Space Technology (2022) Vol. 123, pp. 104403-104403
Closed Access | Times Cited: 44
Digital twin for intelligent tunnel construction
Tao Li, Xiaojun Li, Yi Rui, et al.
Automation in Construction (2023) Vol. 158, pp. 105210-105210
Closed Access | Times Cited: 42
Digital Twins for Construction Assets Using BIM Standard Specifications
Mohamed Nour El-Din, Pedro F. Pereira, João Poças Martins, et al.
Buildings (2022) Vol. 12, Iss. 12, pp. 2155-2155
Open Access | Times Cited: 41
Development of urban underground space in coastal cities in China: A review
Peng Yu, Honghua Liu, Zhongsheng Wang, et al.
Deep Underground Science and Engineering (2023) Vol. 2, Iss. 2, pp. 148-172
Open Access | Times Cited: 33
Review of constraints and critical success factors of developing urban underground space
Yani Lai, Y. Wang, Jing Cheng, et al.
Underground Space (2023) Vol. 12, pp. 137-155
Open Access | Times Cited: 33
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