Youn-Soo Kang

589 total citations
19 papers, 405 citations indexed

About

Youn-Soo Kang is a scholar working on Building and Construction, Safety, Risk, Reliability and Quality and Automotive Engineering. According to data from OpenAlex, Youn-Soo Kang has authored 19 papers receiving a total of 405 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Building and Construction, 9 papers in Safety, Risk, Reliability and Quality and 7 papers in Automotive Engineering. Recurrent topics in Youn-Soo Kang's work include Traffic Prediction and Management Techniques (10 papers), Traffic and Road Safety (9 papers) and Vehicle emissions and performance (4 papers). Youn-Soo Kang is often cited by papers focused on Traffic Prediction and Management Techniques (10 papers), Traffic and Road Safety (9 papers) and Vehicle emissions and performance (4 papers). Youn-Soo Kang collaborates with scholars based in South Korea, United States and Japan. Youn-Soo Kang's co-authors include François Dion, Hesham Rakha, Cheol Oh, Wonkyu Kim, Atsuhiro Konosu, Eunbi Jeong, Gyung-Jin Park, Jaesung Park and David J. Lovell and has published in prestigious journals such as Accident Analysis & Prevention, Transportation Research Part B Methodological and Transportation Research Record Journal of the Transportation Research Board.

In The Last Decade

Youn-Soo Kang

16 papers receiving 369 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Youn-Soo Kang South Korea 7 249 220 154 132 119 19 405
Milan Zlatkovic United States 12 215 0.9× 259 1.2× 191 1.2× 212 1.6× 94 0.8× 54 478
Amir Sobhani Australia 11 183 0.7× 153 0.7× 101 0.7× 343 2.6× 113 0.9× 27 495
Zhengwu Wang China 11 134 0.5× 123 0.6× 83 0.5× 109 0.8× 114 1.0× 42 335
Amirarsalan Mehrara Molan United States 14 221 0.9× 166 0.8× 155 1.0× 417 3.2× 96 0.8× 49 579
Myungseob Kim United States 13 85 0.3× 342 1.6× 106 0.7× 54 0.4× 310 2.6× 25 497
Changjiang Zheng China 10 65 0.3× 178 0.8× 121 0.8× 213 1.6× 53 0.4× 35 388
Nada Mahmoud United States 10 121 0.5× 120 0.5× 166 1.1× 173 1.3× 129 1.1× 18 352
Mohsen Kamrani United States 8 195 0.8× 159 0.7× 130 0.8× 315 2.4× 266 2.2× 21 506
Steven G. Shelby United States 10 434 1.7× 267 1.2× 285 1.9× 220 1.7× 117 1.0× 15 547

Countries citing papers authored by Youn-Soo Kang

Since Specialization
Citations

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

Fields of papers citing papers by Youn-Soo Kang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Youn-Soo Kang. 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 Youn-Soo Kang. The network helps show where Youn-Soo Kang may publish in the future.

Co-authorship network of co-authors of Youn-Soo Kang

This figure shows the co-authorship network connecting the top 25 collaborators of Youn-Soo Kang. A scholar is included among the top collaborators of Youn-Soo Kang 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 Youn-Soo Kang. Youn-Soo Kang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Oh, Cheol, et al.. (2013). Hazardous Driving Event Detection and Analysis System in Vehicular Networks. Transportation Research Record Journal of the Transportation Research Board. 2381(1). 9–19. 7 indexed citations
2.
Jeong, Eunbi, et al.. (2012). Development of Traffic Safety Monitoring Technique by Detection and Analysis of Hazardous Driving Events in V2X Environment. The Journal of The Korea Institute of Intelligent Transport Systems. 11(6). 1–14. 1 indexed citations
3.
Jeong, Eunbi, et al.. (2012). Development of Traffic Safety Monitoring Technique by Detection and Analysis of Hazardous Driving Events in V2X Environment. The Journal of The Korea Institute of Intelligent Transport Systems. 11(6). 1–14. 1 indexed citations
4.
Oh, Cheol, et al.. (2012). Intervehicle Safety Warning Information System for Unsafe Driving Events. Transportation Research Record Journal of the Transportation Research Board. 2324(1). 1–10. 18 indexed citations
5.
Kim, Wonkyu, et al.. (2010). Comparing Calibration Methods for Microscopic Traffic Simulation Models. 35(2). 168–87. 1 indexed citations
6.
Oh, Cheol, et al.. (2009). Evaluation of a brake assistance system (BAS) using an injury severity prediction model for pedestrians. International Journal of Automotive Technology. 10(5). 577–582. 6 indexed citations
7.
Oh, Cheol, et al.. (2008). Development of probabilistic pedestrian fatality model for characterizing pedestrian-vehicle collisions. International Journal of Automotive Technology. 9(2). 191–196. 19 indexed citations
8.
Oh, Cheol, et al.. (2007). Assessing Traffic Safety Benefits of Technical Regulation for Pedestrian Leg. Transactions of Korean Society of Automotive Engineers. 15(4). 1–9. 3 indexed citations
9.
Oh, Cheol & Youn-Soo Kang. (2007). Characterizing Pedestrian-Vehicle Collisions in Korea: Development of Probabilistic Pedestrian Fatality Model. Transportation Research Board 86th Annual MeetingTransportation Research Board. 2 indexed citations
10.
Oh, Cheol, Youn-Soo Kang, & Wonkyu Kim. (2007). Assessing the safety benefits of an advanced vehicular technology for protecting pedestrians. Accident Analysis & Prevention. 40(3). 935–942. 51 indexed citations
11.
Lovell, David J., et al.. (2007). Data Quantity for Reliable Traffic Information in Vehicular Ad Hoc Networks. IEEE Vehicular Technology Conference. 1401–1405.
12.
Oh, Cheol, et al.. (2006). Methodology for Optimizing Parameters of Vehicle Safety Regulation on Pedestrian Protection. Transactions of Korean Society of Automotive Engineers. 14(5). 186–194. 2 indexed citations
13.
Oh, Cheol, et al.. (2006). 첨단안전차량 효과분석(보행자보호를 위한 Active Hood Lift System (AHLS)을 중심으로). Journal of the Eastern Asia Society for transportation studies. 24(3). 95–102. 1 indexed citations
14.
Oh, Cheol, et al.. (2005). Estimation of Fatality Reduction by Introducing Technical Regulation on Pedestrian Protection. Journal of the Eastern Asia Society for transportation studies. 23(3). 49–57. 1 indexed citations
15.
Oh, Cheol, et al.. (2005). Analysis of Pedestrian-Vehicle Crashes in Korea: Focused on Developing Probabilistic Pedestrian Fatality Model. 2005. 15 indexed citations
16.
Kang, Youn-Soo, et al.. (2005). Vehicle hood and bumper structure design to mitigate casualties of pedestrian accidents. 2005(14). e29–e29. 4 indexed citations
17.
Dion, François, Hesham Rakha, & Youn-Soo Kang. (2003). Comparison of delay estimates at under-saturated and over-saturated pre-timed signalized intersections. Transportation Research Part B Methodological. 38(2). 99–122. 231 indexed citations
18.
Kang, Youn-Soo, et al.. (2002). Electron Paramagnetic Resonance Study on the Photoproduced Cation Radical of N-Methylphenothiazine in the Gel Matrices. 6(2). 103–112. 1 indexed citations
19.
Rakha, Hesham, Youn-Soo Kang, & François Dion. (2001). Estimating Vehicle Stops at Undersaturated and Oversaturated Fixed-Time Signalized Intersections. Transportation Research Record Journal of the Transportation Research Board. 1776(1). 128–137. 41 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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