Minchae Lee

609 citations
9 papers · 468 · h-index 7

Impact in

Papers in

Minchae Lee

9 papers receiving 446 citations

Peers

Minchae Lee
Comparison fields: 5 of 43
  • Automotive Engineering 304
  • Computer Vision and Pattern Recognition 304
  • Control and Systems Engineering 140
  • Instrumentation 20
  • Environmental Engineering 68
Replace Paolo Zani with:
Paolo Zani Italy
Erke Shang China
Christian Frese Germany
Naoki Suganuma Japan
Sampo Kuutti United Kingdom
Chunzhao Guo Japan
Yihuan Zhang China
Yunxiao Shan China
Kyounghwan An South Korea
Wenda Xu United States
Minchae Lee relative to Paolo Zani Italy Paolo Zani's profile →
Citations per field
00.5×5.5×
Paolo Zani · 1×
Citations per year

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-authors

The 12 scholars most cited alongside Minchae Lee, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Minchae Lee Line = papers co-authored together Minchae Lee links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 2012256
2 2012143
3 201433
4 201311
5 20138
6
Development of an Autonomous Vehicle: A1
20117
7 20156
8
An Information Fusion-based Vision System for an Autonomous Vehicle
20122
9 20082

About Minchae Lee

Minchae Lee is a scholar working on Automotive Engineering, Computer Vision and Pattern Recognition, Control and Systems Engineering, Aerospace Engineering and Electrical and Electronic Engineering, having authored 9 papers that have together received 468 indexed citations. Recurring topics across this work include Autonomous Vehicle Technology and Safety (6 papers), Vehicle Dynamics and Control Systems (4 papers), Robotic Path Planning Algorithms (2 papers), Advanced Measurement and Detection Methods (2 papers), Infrared Target Detection Methodologies (2 papers), Real-time simulation and control systems (2 papers), Advanced Chemical Sensor Technologies (1 paper) and Video Surveillance and Tracking Methods (1 paper). The work is most often cited by research in Automotive Engineering (304 citations), Computer Vision and Pattern Recognition (304 citations), Control and Systems Engineering (140 citations), Instrumentation (20 citations) and Environmental Engineering (68 citations). Minchae Lee has collaborated with scholars based in South Korea. Frequent co-authors include Myoungho Sunwoo, Keonyup Chu, Dongchul Kim, Jaehyun Han, Chulhoon Jang, Chansoo Kim, Kichun Jo, Junsoo Kim, Yang Soo Kim and Dong-Chul Kim. Their work appears in journals such as IEEE Transactions on Intelligent Transportation Systems, Proceedings of the Institution of Mechanical Engineers Part D Journal of Automobile Engineering, IEEE Transactions on Vehicular Technology, SAE International journal of passenger cars. Electronic and electrical systems and Transactions of Korean Society of Automotive Engineers.

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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