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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:

Hierarchical tunnel modeling from 3D raw LiDAR point cloud
Cheng Yi, Dening Lu, Qian Xie, et al.
Computer-Aided Design (2019) Vol. 114, pp. 143-154
Closed Access | Times Cited: 68

Showing 1-25 of 68 citing articles:

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
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
An improved 3D point cloud instance segmentation method for overhead catenary height detection
Chengjie Zong, Hao Wang, Zhibo Wan
Computers & Electrical Engineering (2022) Vol. 98, pp. 107685-107685
Closed Access | Times Cited: 48
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
UnrollingNet: An attention-based deep learning approach for the segmentation of large-scale point clouds of tunnels
Zhaoxiang Zhang, Ankang Ji, Kunyu Wang, et al.
Automation in Construction (2022) Vol. 142, pp. 104456-104456
Closed Access | Times Cited: 40
A review of terrestrial laser scanning (TLS)-based technologies for deformation monitoring in engineering
Nan Shen, Bin Wang, Hongyang Ma, et al.
Measurement (2023) Vol. 223, pp. 113684-113684
Closed Access | Times Cited: 30
Seg2Tunnel: A hierarchical point cloud dataset and benchmarks for segmentation of segmental tunnel linings
Wei Lin, Brian Sheil, Pin Zhang, et al.
Tunnelling and Underground Space Technology (2024) Vol. 147, pp. 105735-105735
Closed Access | Times Cited: 12
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: 11
Combining Cylindrical Voxel and Mask R-CNN for Automatic Detection of Water Leakages in Shield Tunnel Point Clouds
Qiong Chen, Zhizhong Kang, Zhen Cao, et al.
Remote Sensing (2024) Vol. 16, Iss. 5, pp. 896-896
Open Access | Times Cited: 10
A status digital twin approach for physically monitoring over-and-under excavation in large tunnels
Weili Fang, Weiya Chen, Peter E.D. Love, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102648-102648
Closed Access | Times Cited: 9
SAM4Tun: No-training model for tunnel lining point cloud component segmentation
Zehao Ye, Wei Lin, Asaad Faramarzi, et al.
Tunnelling and Underground Space Technology (2025) Vol. 158, pp. 106401-106401
Open Access | Times Cited: 1
Transforming the maintenance of underground infrastructure through Digital Twins: State of the art and outlook
Huamei Zhu, Mengqi Huang, Pei-Qi Ji, et al.
Tunnelling and Underground Space Technology (2025) Vol. 161, pp. 106508-106508
Open Access | Times Cited: 1
UAV-based 3D reconstruction for hoist site mapping and layout planning in petrochemical construction
Weiguang Jiang, Ying Zhou, Lieyun Ding, et al.
Automation in Construction (2020) Vol. 113, pp. 103137-103137
Closed Access | Times Cited: 68
Towards Automated 3D Inspection of Water Leakages in Shield Tunnel Linings Using Mobile Laser Scanning Data
Hongwei Huang, Wen Cheng, Mingliang Zhou, et al.
Sensors (2020) Vol. 20, Iss. 22, pp. 6669-6669
Open Access | Times Cited: 68
Integrating vision and laser point cloud data for shield tunnel digital twin modeling
Yanyi Li, Zhihua Xiao, Jintao Li, et al.
Automation in Construction (2023) Vol. 157, pp. 105180-105180
Closed Access | Times Cited: 18
Reactive UAV-based automatic tunnel surface defect inspection with a field test
Ran Zhang, Guangbo Hao, Kong Zhang, et al.
Automation in Construction (2024) Vol. 163, pp. 105424-105424
Open Access | Times Cited: 8
A Method for Deformation Detection and Reconstruction of Shield Tunnel Based on Point Cloud
Yuxian Zhang, Xuhua Ren, Jixun Zhang, et al.
Journal of Construction Engineering and Management (2024) Vol. 150, Iss. 3
Closed Access | Times Cited: 7
Reconstruction of shield tunnel lining using point cloud
Dong-Ya Duan, Wenge Qiu, Yunjian Cheng, et al.
Automation in Construction (2021) Vol. 130, pp. 103860-103860
Closed Access | Times Cited: 41
A Novel Approach to Automated 3D Spalling Defects Inspection in Railway Tunnel Linings Using Laser Intensity and Depth Information
Mingliang Zhou, Wen Cheng, Hongwei Huang, et al.
Sensors (2021) Vol. 21, Iss. 17, pp. 5725-5725
Open Access | Times Cited: 40
Deep learning for large-scale point cloud segmentation in tunnels considering causal inference
Zhaoxiang Zhang, Ankang Ji, Limao Zhang, et al.
Automation in Construction (2023) Vol. 152, pp. 104915-104915
Closed Access | Times Cited: 14
A Point Cloud Segmentation Method for Dim and Cluttered Underground Tunnel Scenes Based on the Segment Anything Model
Jitong Kang, Ning Chen, Mei Li, et al.
Remote Sensing (2023) Vol. 16, Iss. 1, pp. 97-97
Open Access | Times Cited: 12
LRC-Net: Learning discriminative features on point clouds by encoding local region contexts
Xinhai Liu, Zhizhong Han, Fangzhou Hong, et al.
Computer Aided Geometric Design (2020) Vol. 79, pp. 101859-101859
Open Access | Times Cited: 28
UTOPIC: Uncertainty‐aware Overlap Prediction Network for Partial Point Cloud Registration
Zhilei Chen, Honghua Chen, Lina Gong, et al.
Computer Graphics Forum (2022) Vol. 41, Iss. 7, pp. 87-98
Open Access | Times Cited: 17
A K-Dimensional Tree–Iterative Closest Point Algorithm for Overbreak and Underbreak Assessment of Mountain Tunnels
Zhao Han, Xiongyao Xie, Genji Tang, et al.
Applied Sciences (2025) Vol. 15, Iss. 2, pp. 566-566
Open Access
Centerline-based registration for shield tunnel 3D reconstruction using spinning mid-range LiDAR point cloud and multi-cameras
Liao Jian, Wenge Qiu, Yunjian Cheng
Automation in Construction (2025) Vol. 171, pp. 105950-105950
Closed Access
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