Hung-Lin Chi

5.1k total citations · 3 hit papers
74 papers, 3.6k citations indexed

About

Hung-Lin Chi is a scholar working on Building and Construction, Civil and Structural Engineering and Radiological and Ultrasound Technology. According to data from OpenAlex, Hung-Lin Chi has authored 74 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Building and Construction, 22 papers in Civil and Structural Engineering and 13 papers in Radiological and Ultrasound Technology. Recurrent topics in Hung-Lin Chi's work include BIM and Construction Integration (28 papers), Infrastructure Maintenance and Monitoring (18 papers) and 3D Surveying and Cultural Heritage (13 papers). Hung-Lin Chi is often cited by papers focused on BIM and Construction Integration (28 papers), Infrastructure Maintenance and Monitoring (18 papers) and 3D Surveying and Cultural Heritage (13 papers). Hung-Lin Chi collaborates with scholars based in Hong Kong, Australia and South Korea. Hung-Lin Chi's co-authors include Xiangyu Wang, Xiao Li, Wen Yi, Albert P.C. Chan, Peng Wu, Jun Wang, Wang Peng, Shih‐Chung Kang, Hsi-Hsien Wei and Qian-Cheng Wang and has published in prestigious journals such as Renewable and Sustainable Energy Reviews, Journal of Cleaner Production and Construction and Building Materials.

In The Last Decade

Hung-Lin Chi

69 papers receiving 3.4k citations

Hit Papers

A critical review of virtual and augmented reality (VR/AR... 2013 2026 2017 2021 2017 2018 2013 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hung-Lin Chi Hong Kong 30 1.5k 903 770 580 494 74 3.6k
Masoud Gheisari United States 28 1.0k 0.7× 571 0.6× 515 0.7× 787 1.4× 713 1.4× 117 2.7k
Chansik Park South Korea 32 1.4k 0.9× 658 0.7× 458 0.6× 636 1.1× 1.0k 2.1× 202 4.1k
Amir H. Behzadan United States 32 1.1k 0.8× 1.2k 1.3× 459 0.6× 533 0.9× 1.1k 2.3× 118 3.9k
Lei Hou Australia 32 1.5k 1.0× 718 0.8× 371 0.5× 515 0.9× 327 0.7× 112 3.3k
Javier Irizarry United States 29 1.8k 1.2× 452 0.5× 352 0.5× 983 1.7× 701 1.4× 100 3.6k
Amin Hammad Canada 37 2.4k 1.6× 490 0.5× 269 0.3× 836 1.4× 691 1.4× 198 4.4k
Vineet R. Kamat United States 42 3.3k 2.2× 1.4k 1.5× 560 0.7× 1.4k 2.4× 685 1.4× 218 6.3k
Phillip S. Dunston United States 22 740 0.5× 706 0.8× 394 0.5× 430 0.7× 148 0.3× 75 1.6k
John Messner United States 29 1.6k 1.1× 316 0.3× 320 0.4× 421 0.7× 162 0.3× 148 2.8k
Dong Zhao United States 29 1.1k 0.7× 230 0.3× 261 0.3× 233 0.4× 491 1.0× 151 3.0k

Countries citing papers authored by Hung-Lin Chi

Since Specialization
Citations

This map shows the geographic impact of Hung-Lin Chi'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 Hung-Lin Chi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hung-Lin Chi more than expected).

Fields of papers citing papers by Hung-Lin Chi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hung-Lin Chi. 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 Hung-Lin Chi. The network helps show where Hung-Lin Chi may publish in the future.

Co-authorship network of co-authors of Hung-Lin Chi

This figure shows the co-authorship network connecting the top 25 collaborators of Hung-Lin Chi. A scholar is included among the top collaborators of Hung-Lin Chi 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 Hung-Lin Chi. Hung-Lin Chi 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.
Li, Rongyan, et al.. (2025). Data-driven lifting-centered construction site layout planning decision approach with BIM. Automation in Construction. 179. 106467–106467.
2.
Won, Jeong-Hun, et al.. (2025). Assessment of construction workers' fall-from-height risk using multi-physiological data and virtual reality. Automation in Construction. 176. 106254–106254.
3.
Xu, Wenyu, et al.. (2025). Digital-physical integration for MEP-structural clash coordination using path planning and AR navigation. Automation in Construction. 179. 106501–106501.
5.
Zheng, Bowen, et al.. (2025). Development of a BIM-based application for visualizing the reuse and recycling potential of modular building systems. Journal of Building Engineering. 105. 112500–112500. 1 indexed citations
6.
Wang, Xiaowei, Yang Yang, Amos Darko, Albert P.C. Chan, & Hung-Lin Chi. (2024). The impact of penalties, incentives, and monitoring costs on the stakeholders’ decision-making behaviors in non-compliance drone operations. Technology in Society. 77. 102589–102589. 3 indexed citations
7.
Li, Rongyan, et al.. (2024). Interpretable decision support system for tower crane layout planning: A deep learning-oriented approach. Advanced Engineering Informatics. 62. 102714–102714. 5 indexed citations
8.
Wu, Haitao, et al.. (2024). A hierarchical federated learning framework for collaborative quality defect inspection in construction. Engineering Applications of Artificial Intelligence. 133. 108218–108218. 18 indexed citations
9.
Seo, JoonOh, et al.. (2024). Generative AI-powered architectural exterior conceptual design based on the design intent. Journal of Computational Design and Engineering. 11(5). 125–142. 14 indexed citations
10.
Aela, Peyman, et al.. (2024). Vision-based monitoring of railway superstructure: A review. Construction and Building Materials. 442. 137385–137385. 14 indexed citations
11.
Li, Fangxin, et al.. (2024). Data quality-oriented scan planning for steel structure scenes using a probabilistic genetic algorithm. Automation in Construction. 167. 105700–105700. 1 indexed citations
12.
Aela, Peyman, Hung-Lin Chi, Ali Fares, Tarek Zayed, & Minkoo Kim. (2024). UAV-based studies in railway infrastructure monitoring. Automation in Construction. 167. 105714–105714. 23 indexed citations
14.
Kong, Qingzhao, et al.. (2023). Development of acoustic denoising learning network for communication enhancement in construction sites. Advanced Engineering Informatics. 56. 101981–101981. 9 indexed citations
15.
Wu, Haitao, et al.. (2023). Thermal image-based hand gesture recognition for worker-robot collaboration in the construction industry: A feasible study. Advanced Engineering Informatics. 56. 101939–101939. 29 indexed citations
16.
Chi, Hung-Lin, et al.. (2023). Predicting degraded lifting capacity of aging tower cranes: A digital twin-driven approach. Advanced Engineering Informatics. 59. 102310–102310. 12 indexed citations
17.
Liu, Xuan, Qian-Cheng Wang, Izzy Yi Jian, et al.. (2021). Are you an energy saver at home? The personality insights of household energy conservation behaviors based on theory of planned behavior. Resources Conservation and Recycling. 174. 105823–105823. 101 indexed citations
18.
Tran, Si Van-Tien, et al.. (2021). Generative planning for construction safety surveillance camera installation in 4D BIM environment. Automation in Construction. 134. 104103–104103. 45 indexed citations
19.
Wu, Changzhi, Chuanxin Zhao, Hung-Lin Chi, et al.. (2016). Reference tag supported RFID tracking using robust support vector regression and Kalman filter. Advanced Engineering Informatics. 32. 1–10. 48 indexed citations
20.
Kim, Mi Jeong, Hung-Lin Chi, Xiangyu Wang, & Lieyun Ding. (2015). Automation and Robotics in Construction and Civil Engineering. Journal of Intelligent & Robotic Systems. 79(3-4). 347–350. 43 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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