Hwasoo Yeo

3.2k total citations
126 papers, 2.2k citations indexed

About

Hwasoo Yeo is a scholar working on Control and Systems Engineering, Building and Construction and Transportation. According to data from OpenAlex, Hwasoo Yeo has authored 126 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Control and Systems Engineering, 62 papers in Building and Construction and 54 papers in Transportation. Recurrent topics in Hwasoo Yeo's work include Traffic control and management (63 papers), Traffic Prediction and Management Techniques (61 papers) and Transportation Planning and Optimization (48 papers). Hwasoo Yeo is often cited by papers focused on Traffic control and management (63 papers), Traffic Prediction and Management Techniques (61 papers) and Transportation Planning and Optimization (48 papers). Hwasoo Yeo collaborates with scholars based in South Korea, United Arab Emirates and United States. Hwasoo Yeo's co-authors include Sehyun Tak, Simon Oh, Young-Ji Byon, Kitae Jang, Donghoun Lee, Soomin Woo, Yongjun Ahn, Seongjin Choi, Sung‐Hoon Kim and Alexander Skabardonis and has published in prestigious journals such as PLoS ONE, IEEE Access and IEEE Transactions on Intelligent Transportation Systems.

In The Last Decade

Hwasoo Yeo

116 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hwasoo Yeo South Korea 29 966 919 898 685 485 126 2.2k
Guangquan Lu China 27 1.1k 1.1× 954 1.0× 1.1k 1.2× 778 1.1× 605 1.2× 97 2.5k
Daiheng Ni United States 26 1.3k 1.3× 848 0.9× 805 0.9× 738 1.1× 467 1.0× 111 2.2k
Ziyuan Pu China 22 716 0.7× 1.1k 1.2× 819 0.9× 762 1.1× 463 1.0× 67 2.3k
Lee D. Han United States 25 845 0.9× 1.3k 1.4× 1.3k 1.4× 463 0.7× 436 0.9× 110 2.4k
Ashish Bhaskar Australia 29 1.3k 1.4× 1.3k 1.4× 1.8k 1.9× 774 1.1× 637 1.3× 157 3.0k
Adel W. Sadek United States 25 735 0.8× 902 1.0× 833 0.9× 586 0.9× 315 0.6× 107 1.9k
Vittorio Astarita Italy 24 674 0.7× 683 0.7× 542 0.6× 464 0.7× 485 1.0× 90 1.7k
Praveen Edara United States 23 838 0.9× 715 0.8× 690 0.8× 444 0.6× 613 1.3× 123 1.7k
Yuanchang Xie United States 29 1.2k 1.3× 1.2k 1.3× 1.2k 1.3× 898 1.3× 1.2k 2.4× 96 3.2k
Jie Sun China 21 1.3k 1.4× 917 1.0× 919 1.0× 680 1.0× 413 0.9× 78 2.2k

Countries citing papers authored by Hwasoo Yeo

Since Specialization
Citations

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

Fields of papers citing papers by Hwasoo Yeo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hwasoo Yeo

This figure shows the co-authorship network connecting the top 25 collaborators of Hwasoo Yeo. A scholar is included among the top collaborators of Hwasoo Yeo 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 Hwasoo Yeo. Hwasoo Yeo 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.
Yeo, Hwasoo, et al.. (2025). Assessing Traffic Dynamics on Highway: Stability and Intensity in Breakdown and Recovery Pathways. Procedia Computer Science. 257. 282–289. 1 indexed citations
2.
Yeo, Hwasoo, et al.. (2025). Multi-Agent Game-Theoretic Modelling of Electric Vehicle Charging Behavior and Pricing Optimization in Dynamic Ecosystems. Procedia Computer Science. 257. 460–467. 1 indexed citations
3.
Liu, Pengfei, et al.. (2024). Modeling decision-making process of drivers during yellow signal phase at intersections based on drift–diffusion model. Transportation Research Part F Traffic Psychology and Behaviour. 105. 368–384. 2 indexed citations
4.
Yeo, Hwasoo, et al.. (2024). Integrating visual and community environments in a motorcycle crash and casualty estimation. Accident Analysis & Prevention. 208. 107792–107792. 1 indexed citations
5.
Yeo, Hwasoo, et al.. (2024). Asymmetric repulsive force model: A new car-following model with psycho-physical characteristics. Transportation Research Part C Emerging Technologies. 161. 104571–104571. 2 indexed citations
6.
Yeo, Hwasoo, et al.. (2023). Estimation of Urban Traffic State Using Black Box Camera. The Journal of The Korea Institute of Intelligent Transport Systems. 22(2). 133–146.
7.
Noh, Byeongjoon, et al.. (2023). NAVIBox: Real-Time Vehicle–Pedestrian Risk Prediction System in an Edge Vision Environment. Electronics. 12(20). 4311–4311. 6 indexed citations
8.
Kim, Jiwon, et al.. (2022). Transformer-based map-matching model with limited labeled data using transfer-learning approach. Transportation Research Part C Emerging Technologies. 140. 103668–103668. 33 indexed citations
9.
Yeo, Hwasoo, et al.. (2022). Estimating urban spatial temperatures considering anthropogenic heat release factors focusing on the mobility characteristics. Sustainable Cities and Society. 85. 104073–104073. 19 indexed citations
10.
Yeo, Hwasoo, Ying-En Ge, Kitae Jang, Meng Xu, & N.N. Sze. (2020). Emerging technologies for sustainable transportation system. International Journal of Sustainable Transportation. 15(5). 323–324. 1 indexed citations
11.
Yeo, Hwasoo, et al.. (2019). Development of an Asymmetric Car-Following Model and Simulation Validation. IEEE Transactions on Intelligent Transportation Systems. 21(8). 3513–3524. 16 indexed citations
12.
Lee, Donghoun, et al.. (2018). Real-Time Feed-Forward Neural Network-Based Forward Collision Warning System Under Cloud Communication Environment. IEEE Transactions on Intelligent Transportation Systems. 20(12). 4390–4404. 16 indexed citations
13.
Tak, Sehyun, et al.. (2018). A Comparison Analysis of Surrogate Safety Measures with Car-Following Perspectives for Advanced Driver Assistance System. Journal of Advanced Transportation. 2018. 1–14. 20 indexed citations
14.
15.
Ahn, Yongjun & Hwasoo Yeo. (2015). An Analytical Planning Model to Estimate the Optimal Density of Charging Stations for Electric Vehicles. PLoS ONE. 10(11). e0141307–e0141307. 51 indexed citations
16.
Lee, Jinwoo, et al.. (2013). Empirical Analysis of Discretionary Lane Changes Using Probabilistic Models. Transportation Research Board 92nd Annual MeetingTransportation Research Board. 2 indexed citations
17.
Chung, Koohong, et al.. (2012). Comparing the Performance of Sliding Moving Window, Peak Searching, and Continuous Risk Profile Methods for Identifying High Collision Concentration Locations. Transportation Research Board 91st Annual MeetingTransportation Research Board.
18.
Yeo, Hwasoo, et al.. (2011). A Study on the Wave Development and Evolution Characteristics of Stop-and-Go Traffic. Transportation Research Board 91st Annual MeetingTransportation Research Board. 2011. 340–340. 2 indexed citations
19.
Skabardonis, Alexander & Hwasoo Yeo. (2009). Proposed Asymmetric Microscopic Traffic Flow Theory. Transportation Research Board 88th Annual MeetingTransportation Research Board. 6 indexed citations
20.
Yeo, Hwasoo. (2008). Asymmetric Microscopic Driving Behavior Theory. eScholarship (California Digital Library). 36 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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