Ankang Ji

959 total citations · 1 hit paper
36 papers, 680 citations indexed

About

Ankang Ji is a scholar working on Civil and Structural Engineering, Geology and Environmental Engineering. According to data from OpenAlex, Ankang Ji has authored 36 papers receiving a total of 680 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Civil and Structural Engineering, 12 papers in Geology and 10 papers in Environmental Engineering. Recurrent topics in Ankang Ji's work include Infrastructure Maintenance and Monitoring (19 papers), 3D Surveying and Cultural Heritage (12 papers) and Remote Sensing and LiDAR Applications (8 papers). Ankang Ji is often cited by papers focused on Infrastructure Maintenance and Monitoring (19 papers), 3D Surveying and Cultural Heritage (12 papers) and Remote Sensing and LiDAR Applications (8 papers). Ankang Ji collaborates with scholars based in China, Hong Kong and Singapore. Ankang Ji's co-authors include Xiaolong Xue, Limao Zhang, Yuna Wang, Xiaowei Luo, Weirui Xue, Alvin Wei Ze Chew, Zhaoxiang Zhang, Yudan Dou, Kunyu Wang and Luqi Wang and has published in prestigious journals such as International Journal of Environmental Research and Public Health, Sustainability and Automation in Construction.

In The Last Decade

Ankang Ji

31 papers receiving 669 citations

Hit Papers

An integrated approach to automatic pixel-level crack det... 2020 2026 2022 2024 2020 50 100 150 200

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ankang Ji China 14 463 208 147 81 73 36 680
Jelena Ninić United Kingdom 21 785 1.7× 171 0.8× 49 0.3× 111 1.4× 123 1.7× 61 1.2k
Ana Sánchez‐Rodríguez Spain 14 272 0.6× 338 1.6× 286 1.9× 31 0.4× 38 0.5× 26 536
Wenjie Liao China 20 710 1.5× 239 1.1× 90 0.6× 100 1.2× 60 0.8× 51 1.2k
Thomas Czerniawski United States 11 244 0.5× 427 2.1× 261 1.8× 17 0.2× 26 0.4× 23 577
Jun Kang Chow Hong Kong 10 339 0.7× 43 0.2× 40 0.3× 68 0.8× 56 0.8× 24 582
Mohamad Alipour United States 13 487 1.1× 92 0.4× 46 0.3× 106 1.3× 75 1.0× 44 671
Pengju Zhao China 15 271 0.6× 99 0.5× 60 0.4× 38 0.5× 65 0.9× 22 537
Denghua Zhong China 15 469 1.0× 48 0.2× 41 0.3× 90 1.1× 92 1.3× 45 708
Samuel A. Prieto Spain 12 121 0.3× 312 1.5× 150 1.0× 24 0.3× 17 0.2× 31 581
Hasan Basri Başağa Türkiye 15 395 0.9× 29 0.1× 35 0.2× 58 0.7× 32 0.4× 52 706

Countries citing papers authored by Ankang Ji

Since Specialization
Citations

This map shows the geographic impact of Ankang Ji's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Ankang Ji with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ankang Ji more than expected).

Fields of papers citing papers by Ankang Ji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ankang Ji. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Ankang Ji. The network helps show where Ankang Ji may publish in the future.

Co-authorship network of co-authors of Ankang Ji

This figure shows the co-authorship network connecting the top 25 collaborators of Ankang Ji. A scholar is included among the top collaborators of Ankang Ji based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ankang Ji. Ankang Ji is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Xiao, Richard, et al.. (2026). Lightweight semantic segmentation for construction progress monitoring using 3D point clouds. Automation in Construction. 183. 106765–106765.
2.
Zhang, Zhaoxiang, et al.. (2025). Unsupervised seepage segmentation pipeline based on point cloud projection with large vision model. Tunnelling and Underground Space Technology. 158. 106410–106410.
3.
Ding, Yuexiong, Qiong Liu, Ankang Ji, Heng Li, & Xiaowei Luo. (2025). Monocular three-dimensional object detection for proximity monitoring in human-machine collision warning systems on construction sites. Engineering Applications of Artificial Intelligence. 159. 111722–111722.
4.
Ji, Ankang, et al.. (2025). Data-driven transformer-based explainable deep learning model for real-time TBM performance prediction. Reliability Engineering & System Safety. 268. 111948–111948.
5.
Ji, Ankang, et al.. (2025). Dual-attention deep learning model for real-time advance rate prediction in TBM operations. Automation in Construction. 175. 106210–106210. 3 indexed citations
6.
Lin, Penghui, et al.. (2024). Automated position control of tunnel boring machine during excavation using deep reinforcement learning. Applied Soft Computing. 167. 112234–112234. 8 indexed citations
7.
Zhang, Limao, et al.. (2024). Dual hierarchical attention-enhanced transfer learning for semantic segmentation of point clouds in building scene understanding. Automation in Construction. 168. 105799–105799. 6 indexed citations
8.
Ji, Ankang, Renfei He, Weiyi Chen, & Limao Zhang. (2024). Computational methodologies for critical infrastructure resilience modeling: A review. Advanced Engineering Informatics. 62. 102663–102663. 17 indexed citations
9.
Xue, Xiaolong, Ankang Ji, Xiaowei Luo, Yudan Dou, & Hongqin Fan. (2024). INTEGRATING EVOLUTIONARY GAME AND SYSTEM DYNAMICS FOR MULTI-PLAYER SAFETY REGULATION OF MAJOR INFRASTRUCTURE PROJECTS IN CHINA. Journal of Civil Engineering and Management. 30(4). 307–325. 2 indexed citations
10.
Ji, Ankang, et al.. (2024). Data-driven optimization for enhanced excavation efficiency in tunnel construction: A case study. Engineering Applications of Artificial Intelligence. 142. 109868–109868. 5 indexed citations
11.
Ji, Ankang, et al.. (2024). Schedule-cost optimization in high-rise buildings considering uncertainty. Engineering Construction & Architectural Management. 32(9). 5657–5681. 2 indexed citations
12.
Xue, Xiaolong, et al.. (2024). Measuring the Global Digital Technology Innovation Network in the Construction Industry. IEEE Transactions on Engineering Management. 71. 11138–11165. 5 indexed citations
13.
14.
Ji, Ankang, et al.. (2024). Real-time prediction of TBM penetration rates using a transformer-based ensemble deep learning model. Automation in Construction. 168. 105793–105793. 9 indexed citations
15.
Zhang, Zhaoxiang, et al.. (2023). Deep learning for large-scale point cloud segmentation in tunnels considering causal inference. Automation in Construction. 152. 104915–104915. 20 indexed citations
16.
Ji, Ankang, Xiaolong Xue, Xiaowei Luo, Yuna Wang, & Hengqin Wu. (2023). SCIENTOMETRIC ANALYSIS OF PAVEMENT MAINTENANCE: A TWENTY-YEAR REVIEW. Journal of Civil Engineering and Management. 29(5). 439–462. 4 indexed citations
17.
Ji, Ankang, Xiaolong Xue, Limao Zhang, Xiaowei Luo, & Qingpeng Man. (2023). A transformer-based deep learning method for automatic pixel-level crack detection and feature quantification. Engineering Construction & Architectural Management. 32(4). 2455–2486. 8 indexed citations
18.
Ji, Ankang, et al.. (2022). Semi-supervised learning-based point cloud network for segmentation of 3D tunnel scenes. Automation in Construction. 146. 104668–104668. 24 indexed citations
19.
Ji, Ankang, et al.. (2022). Sampling-attention deep learning network with transfer learning for large-scale urban point cloud semantic segmentation. Engineering Applications of Artificial Intelligence. 117. 105554–105554. 29 indexed citations
20.
Ji, Ankang, Xiaolong Xue, Yuna Wang, Xiaowei Luo, & Luqi Wang. (2021). Image‐based road crack risk‐informed assessment using a convolutional neural network and an unmanned aerial vehicle. Structural Control and Health Monitoring. 28(7). 24 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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