Seunghyeon Lee

814 total citations
45 papers, 590 citations indexed

About

Seunghyeon Lee is a scholar working on Control and Systems Engineering, Transportation and Building and Construction. According to data from OpenAlex, Seunghyeon Lee has authored 45 papers receiving a total of 590 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Control and Systems Engineering, 15 papers in Transportation and 14 papers in Building and Construction. Recurrent topics in Seunghyeon Lee's work include Traffic control and management (16 papers), Traffic Prediction and Management Techniques (13 papers) and Transportation Planning and Optimization (13 papers). Seunghyeon Lee is often cited by papers focused on Traffic control and management (16 papers), Traffic Prediction and Management Techniques (13 papers) and Transportation Planning and Optimization (13 papers). Seunghyeon Lee collaborates with scholars based in South Korea, Hong Kong and Australia. Seunghyeon Lee's co-authors include S.C. Wong, Dong Ngoduy, Mehdi Keyvan‐Ekbatani, Hai L. Vu, Yu‐Chuan Li, Martin Treiber, Pravin Varaiya, Bong Sup Shim, Kun Xie and Adriana‐Simona Mihăiţă and has published in prestigious journals such as PLoS ONE, Water Research and Journal of Colloid and Interface Science.

In The Last Decade

Seunghyeon Lee

38 papers receiving 568 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Seunghyeon Lee South Korea 14 359 247 243 139 103 45 590
Sehyun Tak South Korea 13 248 0.7× 211 0.9× 279 1.1× 194 1.4× 121 1.2× 43 759
Lijun Sun China 17 175 0.5× 316 1.3× 238 1.0× 105 0.8× 76 0.7× 55 804
Jiangchen Li China 12 163 0.5× 104 0.4× 99 0.4× 176 1.3× 44 0.4× 53 455
Jianyou Zhao China 10 57 0.2× 75 0.3× 53 0.2× 123 0.9× 110 1.1× 49 368
Tang Li China 11 131 0.4× 114 0.5× 52 0.2× 372 2.7× 23 0.2× 39 662
Yadan Yan China 16 313 0.9× 560 2.3× 230 0.9× 506 3.6× 55 0.5× 36 928
Lu Xing China 15 594 1.7× 283 1.1× 277 1.1× 454 3.3× 463 4.5× 34 933
Hongguo Xu China 10 117 0.3× 42 0.2× 84 0.3× 114 0.8× 99 1.0× 38 342
Jinghui Wang China 10 120 0.3× 153 0.6× 58 0.2× 284 2.0× 24 0.2× 35 367

Countries citing papers authored by Seunghyeon Lee

Since Specialization
Citations

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

Fields of papers citing papers by Seunghyeon Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Seunghyeon Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Seunghyeon Lee. A scholar is included among the top collaborators of Seunghyeon Lee 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 Seunghyeon Lee. Seunghyeon Lee 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.
Lee, Seunghyeon, et al.. (2025). Phenolic-resin-eating superworms as a platform for discovering microorganisms that degrade phenolic thermosets. Polymer Testing. 154. 109057–109057.
2.
Lee, Seunghyeon, et al.. (2025). Temporal fusion transformer model for predicting differential pressure in reverse osmosis process. Journal of Water Process Engineering. 70. 106914–106914. 3 indexed citations
3.
Lee, Jisun, et al.. (2025). Engineered neutrophil engagers overcome IgA limitations and reprogram resting neutrophils for cancer immunotherapy. Journal of Biological Engineering. 19(1). 109–109.
4.
Lee, Seunghyeon, Tiantian Chen, N.N. Sze, et al.. (2024). Analysing driver behaviour and crash frequency at railway level crossings using connected vehicle and GIS data. Travel Behaviour and Society. 39. 100957–100957. 2 indexed citations
5.
Pu, Ziyuan, et al.. (2024). Inferring heterogeneous treatment effects of crashes on highway traffic: A doubly robust causal machine learning approach. Transportation Research Part C Emerging Technologies. 160. 104537–104537. 15 indexed citations
6.
Lee, Seunghyeon, et al.. (2024). An Analysis of the Impact of Entering a Desired Major on College Life and the Moderating Effect of College Effort. Asian Journal of Education. 25(1). 59–82.
7.
Lee, Seunghyeon, et al.. (2024). 6-DoF Object Pose Estimation Under Aerosol Conditions: Benchmark Dataset and Baseline. Journal of Institute of Control Robotics and Systems. 30(6). 614–620.
8.
Ku, Donggyun, et al.. (2024). A hybrid clustering–regression approach for predicting passenger congestion in a carriage at a subway platform. Expert Systems with Applications. 268. 126169–126169. 1 indexed citations
9.
Lee, Seunghyeon, et al.. (2024). Unraveling the causes of the Seoul Halloween crowd-crush disaster. PLoS ONE. 19(7). e0306764–e0306764. 4 indexed citations
10.
Eom, Taesik, et al.. (2024). Multifunctional Natural and Synthetic Melanin for Bioelectronic Applications: A Review. Biomacromolecules. 25(9). 5489–5511. 12 indexed citations
11.
Lee, Seunghyeon, et al.. (2023). A machine learning approach to analyzing spatiotemporal impacts of mobility restriction policies on infection rates. Transportation Research Part A Policy and Practice. 176. 103795–103795. 1 indexed citations
12.
Lee, Seunghyeon, et al.. (2023). Automatic classification of microplastics and natural organic matter mixtures using a deep learning model. Water Research. 246. 120710–120710. 29 indexed citations
13.
Lee, Seunghyeon, et al.. (2022). Media Reports on COVID-19 Vaccinations: A Study of Topic Modeling in South Korea. Vaccines. 10(12). 2166–2166. 3 indexed citations
14.
Lee, Seunghyeon, et al.. (2021). A System Optimal Speed Advisory Framework for a Network of Connected and Autonomous Vehicles. IEEE Transactions on Intelligent Transportation Systems. 23(6). 5727–5739. 20 indexed citations
15.
Lee, Seunghyeon, et al.. (2021). A stochastic behaviour model of a personal mobility under heterogeneous low-carbon traffic flow. Transportation Research Part C Emerging Technologies. 128. 103163–103163. 12 indexed citations
16.
Eom, Taesik, Jisoo Jeon, Seunghyeon Lee, et al.. (2020). Naturally Derived Melanin Nanoparticle Composites with High Electrical Conductivity and Biodegradability. Particle & Particle Systems Characterization. 37(11). 1 indexed citations
17.
Lee, Seunghyeon, et al.. (2020). Schlieren imaging for the visualization of particles entrapped in bubble films. Journal of Colloid and Interface Science. 570. 52–60. 6 indexed citations
18.
Park, Junseong, et al.. (2019). Effects of Academic Relationships on Academic Burnout in Health Professions Students. Korean Medical Education Review. 21(2). 100–111. 4 indexed citations
19.
Lee, Seunghyeon, Kun Xie, Dong Ngoduy, & Mehdi Keyvan‐Ekbatani. (2019). An advanced deep learning approach to real-time estimation of lane-based queue lengths at a signalized junction. Transportation Research Part C Emerging Technologies. 109. 117–136. 32 indexed citations
20.
Lee, Seunghyeon, Kun Xie, Dong Ngoduy, Mehdi Keyvan‐Ekbatani, & Hong Yang. (2018). A Lane-based Predictive Model of Downstream Arrival Rates in a Queue Estimation Model Using a Long Short-Term Memory Network. Transportation research procedia. 34. 163–170. 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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