JoonOh Seo

3.3k total citations · 1 hit paper
87 papers, 2.4k citations indexed

About

JoonOh Seo is a scholar working on Radiological and Ultrasound Technology, Social Psychology and Pharmacology. According to data from OpenAlex, JoonOh Seo has authored 87 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Radiological and Ultrasound Technology, 30 papers in Social Psychology and 21 papers in Pharmacology. Recurrent topics in JoonOh Seo's work include Occupational Health and Safety Research (39 papers), Musculoskeletal pain and rehabilitation (21 papers) and BIM and Construction Integration (18 papers). JoonOh Seo is often cited by papers focused on Occupational Health and Safety Research (39 papers), Musculoskeletal pain and rehabilitation (21 papers) and BIM and Construction Integration (18 papers). JoonOh Seo collaborates with scholars based in Hong Kong, South Korea and United States. JoonOh Seo's co-authors include Sang Hyun Lee, SangUk Han, Heng Li, Hyoungkwan Kim, Maxwell Fordjour Antwi‐Afari, Arnold Yu Lok Wong, Houtan Jebelli, JuHyeong Ryu, David J. Edwards and Erika Pärn and has published in prestigious journals such as Scientific Reports, Building and Environment and Sustainability.

In The Last Decade

JoonOh Seo

82 papers receiving 2.4k citations

Hit Papers

Computer vision techniques for construction safety and he... 2015 2026 2018 2022 2015 100 200 300 400
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Computer vision techniques for construction safety and health monitoring
    2015 404 citations JoonOh Seo et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
JoonOh Seo Hong Kong 27 1.2k 592 573 528 428 87 2.4k
Yantao Yu Hong Kong 26 1.2k 1.1× 407 0.7× 1.1k 1.9× 507 1.0× 289 0.7× 58 2.7k
Changbum R. Ahn United States 33 1.4k 1.2× 655 1.1× 454 0.8× 844 1.6× 201 0.5× 151 3.3k
SangUk Han South Korea 20 1.2k 1.0× 329 0.6× 538 0.9× 438 0.8× 207 0.5× 60 1.9k
Xiaochun Luo Hong Kong 28 1.2k 1.0× 343 0.6× 1.5k 2.7× 1.1k 2.1× 117 0.3× 69 3.5k
Amir H. Behzadan United States 32 1.1k 1.0× 419 0.7× 740 1.3× 1.1k 2.1× 110 0.3× 118 3.9k
Houtan Jebelli United States 27 1.4k 1.2× 858 1.4× 191 0.3× 507 1.0× 202 0.5× 116 2.9k
Reza Akhavian United States 17 552 0.5× 217 0.4× 350 0.6× 636 1.2× 79 0.2× 43 1.5k
Xincong Yang China 19 556 0.5× 185 0.3× 1.0k 1.8× 376 0.7× 122 0.3× 44 1.8k
Hongling Guo China 19 715 0.6× 212 0.4× 245 0.4× 433 0.8× 68 0.2× 59 1.4k
Abiola Akanmu United States 20 330 0.3× 183 0.3× 129 0.2× 538 1.0× 168 0.4× 103 1.3k

Countries citing papers authored by JoonOh Seo

Since Specialization
Citations

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

Fields of papers citing papers by JoonOh Seo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by JoonOh Seo. 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 JoonOh Seo. The network helps show where JoonOh Seo may publish in the future.

Co-authorship network of co-authors of JoonOh Seo

This figure shows the co-authorship network connecting the top 25 collaborators of JoonOh Seo. A scholar is included among the top collaborators of JoonOh Seo 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 JoonOh Seo. JoonOh Seo 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.
Seo, JoonOh, et al.. (2025). Investigating the Impact of Virtual Reality Accident Experience on Construction Workers’ Risk Habituation through Individual Behaviors. Journal of Construction Engineering and Management. 151(5). 1 indexed citations
2.
3.
Seo, JoonOh, et al.. (2025). Biomechanical assessment of a passive back exoskeleton using vision-based motion capture and virtual modeling. Automation in Construction. 172. 106035–106035.
4.
Seo, JoonOh, et al.. (2025). Understanding hazard recognition behavior using eye-tracking metrics in a VR-simulated environment: Learning from successful and failed conditions. KSCE Journal of Civil Engineering. 29(8). 100173–100173. 1 indexed citations
5.
Tian, Yuan, et al.. (2025). A systematic literature review of human-autonomy teams in project management. International Journal of Building Pathology and Adaptation. 44(3). 789–808. 1 indexed citations
6.
Kim, Jung‐Hoon, et al.. (2024). Generalized vision-based framework for construction productivity analysis using a standard classification system. Automation in Construction. 165. 105504–105504. 6 indexed citations
7.
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
8.
9.
Kang, Kyungsu, JoonOh Seo, & Han-Guk Ryu. (2024). A non-local based microcrack segmentation model optimized for effective high resolution and low-power devices. Journal of Building Engineering. 96. 110650–110650. 1 indexed citations
10.
Seo, JoonOh, et al.. (2024). Quasi-Static Modeling Framework for Soft Bellow-Based Biomimetic Actuators. Biomimetics. 9(3). 160–160. 3 indexed citations
11.
Antwi‐Afari, Maxwell Fordjour, Heng Li, Alan H. S. Chan, et al.. (2023). A science mapping-based review of work-related musculoskeletal disorders among construction workers. Journal of Safety Research. 85. 114–128. 46 indexed citations
12.
Ahn, Seungjun, et al.. (2023). Investigating the impact of scenario and interaction fidelity on training experience when designing immersive virtual reality-based construction safety training. Developments in the Built Environment. 16. 100223–100223. 16 indexed citations
13.
14.
Li, Fangxin, et al.. (2023). Range Image-Aided Edge Line Estimation for Dimensional Inspection of Precast Bridge Slab Using Point Cloud Data. Sustainability. 15(16). 12243–12243. 3 indexed citations
15.
Chen, Xingbin, Gengying Li, Bin Xue, et al.. (2023). Effects of building information modeling prior knowledge on applying virtual reality in construction education: lessons from a comparison study. Journal of Computational Design and Engineering. 10(5). 2036–2048. 3 indexed citations
16.
Yang, Kanghyeok, et al.. (2022). Wearable acceleration-based action recognition for long-term and continuous activity analysis in construction site. Journal of Building Engineering. 52. 104448–104448. 18 indexed citations
17.
Seo, JoonOh, et al.. (2022). How Immersive Virtual Reality Safety Training System Features Impact Learning Outcomes: An Experimental Study of Forklift Training. Journal of Management in Engineering. 39(1). 25 indexed citations
18.
Choi, Minji, Seungjun Ahn, & JoonOh Seo. (2020). VR-Based investigation of forklift operator situation awareness for preventing collision accidents. Accident Analysis & Prevention. 136. 105404–105404. 64 indexed citations
19.
Choi, Minji, et al.. (2019). Comparative Analysis of Visual Presentation and User Acceptability of Virtual/Augmented Reality Application for Architectural Design Review. 9(4). 1–9. 2 indexed citations
20.
Seo, JoonOh. (2016). Evaluation of Construction Workers Physical Demands Through Computer Vision-Based Kinematic Data Collection and Analysis.. Deep Blue (University of Michigan). 2 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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