ByeoungDo Kim
Impact in
- Automotive Engineering top 2%
- Autonomous Vehicle Technology and Safety
- Building and Construction top 5%
- Traffic Prediction and Management Techniques
Papers in
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- Wireless Signal Modulation Classification 4
- Reinforcement Learning in Robotics 1
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- Advanced biosensing and bioanalysis techniques 3
- Fractal and DNA sequence analysis 2
- Machine Learning in Bioinformatics 1
- Co-authors
- Jun Won Choi (6 shared papers)Jaekyum Kim (6 shared papers)Chung Choo Chung (2 shared papers)Chang Mook Kang (2 shared papers)Seung Hi Lee (1 shared paper)Dongweon Yoon (4 shared papers)Seong Hyeon Park (1 shared paper)Dongsuk Kum (1 shared paper)
- Journals
- Entropy (1 paper)The Journal of Korean Institute of Information Technology (1 paper)
- Partner nations
- South Korea
In The Last Decade
ByeoungDo Kim
6 papers receiving 590 citations
Peers
Comparison fields: 5 of 52
- Automotive Engineering 343
- Building and Construction 149
- Safety, Risk, Reliability and Quality 92
- Artificial Intelligence 260
- Computer Vision and Pattern Recognition 142
Countries citing papers authored by ByeoungDo Kim
This map shows the geographic impact of ByeoungDo Kim'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 ByeoungDo Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites ByeoungDo Kim more than expected).
Fields of papers citing papers by ByeoungDo Kim
This network shows the impact of papers produced by ByeoungDo Kim. 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 ByeoungDo Kim. The network helps show where ByeoungDo Kim may publish in the future.
Co-authors
The 12 scholars most cited alongside ByeoungDo Kim, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 254 | |
| 2 | 2017 | 114 | |
| 3 | 2016 | 88 | |
| 4 | 2021 | 77 | |
| 5 | 2017 | 43 | |
| 6 | 2017 | 27 | |
| 7 | 2018 | 1 |
About ByeoungDo Kim
ByeoungDo Kim is a scholar working on Artificial Intelligence, Molecular Biology, Automotive Engineering, Computer Vision and Pattern Recognition and Control and Systems Engineering, having authored 7 papers that have together received 604 indexed citations. Recurring topics across this work include Wireless Signal Modulation Classification (4 papers), Advanced biosensing and bioanalysis techniques (3 papers), Autonomous Vehicle Technology and Safety (3 papers), Video Surveillance and Tracking Methods (2 papers), Fractal and DNA sequence analysis (2 papers), Radar Systems and Signal Processing (1 paper), Machine Learning in Bioinformatics (1 paper) and Reinforcement Learning in Robotics (1 paper). The work is most often cited by research in Automotive Engineering (343 citations), Building and Construction (149 citations), Safety, Risk, Reliability and Quality (92 citations), Artificial Intelligence (260 citations) and Computer Vision and Pattern Recognition (142 citations). ByeoungDo Kim has collaborated with scholars based in South Korea. Frequent co-authors include Jun Won Choi, Jaekyum Kim, Chung Choo Chung, Chang Mook Kang, Seung Hi Lee, Dongweon Yoon, Seong Hyeon Park, Dongsuk Kum, Junsoo Kim and Jeong Soo Kim. Their work appears in journals such as Entropy and The Journal of Korean Institute of Information Technology.
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.