Minchae Lee

609 total citations
9 papers, 468 citations indexed

About

Minchae Lee is a scholar working on Automotive Engineering, Computer Vision and Pattern Recognition and Control and Systems Engineering. According to data from OpenAlex, Minchae Lee has authored 9 papers receiving a total of 468 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Automotive Engineering, 3 papers in Computer Vision and Pattern Recognition and 2 papers in Control and Systems Engineering. Recurrent topics in Minchae Lee's work include Autonomous Vehicle Technology and Safety (6 papers), Vehicle Dynamics and Control Systems (4 papers) and Infrared Target Detection Methodologies (2 papers). Minchae Lee is often cited by papers focused on Autonomous Vehicle Technology and Safety (6 papers), Vehicle Dynamics and Control Systems (4 papers) and Infrared Target Detection Methodologies (2 papers). Minchae Lee collaborates with scholars based in South Korea. Minchae Lee's co-authors include Myoungho Sunwoo, Keonyup Chu, Dongchul Kim, Jaehyun Han, Chulhoon Jang, Chansoo Kim, Junsoo Kim, Kichun Jo, Yang Soo Kim and Kunsoo Huh and has published in prestigious journals such as IEEE Transactions on Vehicular Technology, IEEE Transactions on Intelligent Transportation Systems and Proceedings of the Institution of Mechanical Engineers Part D Journal of Automobile Engineering.

In The Last Decade

Minchae Lee

9 papers receiving 446 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Minchae Lee South Korea 7 304 304 140 108 68 9 468
Erke Shang China 10 169 0.6× 283 0.9× 94 0.7× 123 1.1× 47 0.7× 25 382
Christian Frese Germany 9 212 0.7× 225 0.7× 123 0.9× 75 0.7× 40 0.6× 27 449
Pengpeng Sun China 9 200 0.7× 192 0.6× 65 0.5× 98 0.9× 97 1.4× 15 460
Paolo Zani Italy 14 323 1.1× 360 1.2× 97 0.7× 139 1.3× 59 0.9× 19 505
Dominic Zeng Wang United Kingdom 5 179 0.6× 323 1.1× 58 0.4× 186 1.7× 124 1.8× 5 535
Wenda Xu United States 9 320 1.1× 294 1.0× 166 1.2× 104 1.0× 38 0.6× 23 519
Yihuan Zhang China 11 257 0.8× 159 0.5× 113 0.8× 120 1.1× 128 1.9× 24 505
Naoki Suganuma Japan 12 279 0.9× 265 0.9× 73 0.5× 204 1.9× 124 1.8× 72 561
Kyounghwan An South Korea 8 185 0.6× 215 0.7× 81 0.6× 104 1.0× 26 0.4× 10 423
Antonio Artuñedo Spain 14 279 0.9× 196 0.6× 150 1.1× 67 0.6× 40 0.6× 35 428

Countries citing papers authored by Minchae Lee

Since Specialization
Citations

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

Fields of papers citing papers by Minchae Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Minchae Lee

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

All Works

9 of 9 papers shown
1.
Lee, Minchae, et al.. (2015). Probabilistic lane detection and lane tracking for autonomous vehicles using a cascade particle filter. Proceedings of the Institution of Mechanical Engineers Part D Journal of Automobile Engineering. 229(12). 1656–1671. 6 indexed citations
2.
Jang, Chulhoon, Chansoo Kim, Dongchul Kim, Minchae Lee, & Myoungho Sunwoo. (2014). Multiple exposure images based traffic light recognition. 1313–1318. 33 indexed citations
3.
Lee, Minchae, et al.. (2013). Information Fusion of Cameras and Laser Radars for Perception Systems of Autonomous Vehicles. Journal of Korean institute of intelligent systems. 23(1). 35–45. 8 indexed citations
4.
Jo, Kichun, Minchae Lee, Dongchul Kim, et al.. (2013). Overall Reviews of Autonomous Vehicle A1 - System Architecture and Algorithms. IFAC Proceedings Volumes. 46(10). 114–119. 11 indexed citations
5.
Jang, Chulhoon, et al.. (2012). An Information Fusion-based Vision System for an Autonomous Vehicle. 한국자동차공학회 추계학술대회 및 전시회. 1–4. 2 indexed citations
6.
Chu, Keonyup, Minchae Lee, & Myoungho Sunwoo. (2012). Local Path Planning for Off-Road Autonomous Driving With Avoidance of Static Obstacles. IEEE Transactions on Intelligent Transportation Systems. 13(4). 1599–1616. 256 indexed citations
7.
Han, Jaehyun, Dongchul Kim, Minchae Lee, & Myoungho Sunwoo. (2012). Enhanced Road Boundary and Obstacle Detection Using a Downward-Looking LIDAR Sensor. IEEE Transactions on Vehicular Technology. 61(3). 971–985. 143 indexed citations
8.
Chu, Keonyup, Jaehyun Han, Minchae Lee, et al.. (2011). Development of an Autonomous Vehicle: A1. Transactions of Korean Society of Automotive Engineers. 19(4). 146–154. 7 indexed citations
9.
Lee, Minchae, et al.. (2008). Validation of a Seamless Development Process for Real-time ECUs using OSEK-OS Based SILS/RCP. SAE International journal of passenger cars. Electronic and electrical systems. 1(1). 288–295. 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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