Kichun Jo
Impact in
- Automotive Engineering top 0.5%
- Autonomous Vehicle Technology and Safety
- Vehicle Dynamics and Control Systems
-
- Robotic Path Planning Algorithms
Papers in
-
- Autonomous Vehicle Technology and Safety 49
- Vehicle Dynamics and Control Systems 11
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- Robotic Path Planning Algorithms 19
- Co-authors
- Myoungho Sunwoo (61 shared papers)Junsoo Kim (11 shared papers)Wontaek Lim (7 shared papers)Chulhoon Jang (6 shared papers)Dongchul Kim (5 shared papers)Seongjin Lee (4 shared papers)Min-Chul Lee (14 shared papers)Chansoo Kim (20 shared papers)
- Journals
- IEEE Transactions on Intelligent Transportation Systems (14 papers)IEEE Access (12 papers)Sensors (10 papers)IEEE Transactions on Intelligent Vehicles (7 papers)SAE technical papers on CD-ROM/SAE technical paper series (4 papers)
- Partner nations
- South KoreaFranceUnited States
In The Last Decade
Kichun Jo
85 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 98
- Automotive Engineering 1.2k
- Computer Vision and Pattern Recognition 811
- Aerospace Engineering 579
- Geology 125
- Control and Systems Engineering 497
Countries citing papers authored by Kichun Jo
This map shows the geographic impact of Kichun Jo'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 Kichun Jo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kichun Jo more than expected).
Fields of papers citing papers by Kichun Jo
This network shows the impact of papers produced by Kichun Jo. 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 Kichun Jo. The network helps show where Kichun Jo may publish in the future.
Co-authors
The 25 scholars most cited alongside Kichun Jo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 94 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 239 | |
| 2 | 2014 | 201 | |
| 3 | 2018 | 189 | |
| 4 | 2015 | 186 | |
| 5 | 2019 | 122 | |
| 6 | 2015 | 82 | |
| 7 | 2016 | 70 | |
| 8 | 2014 | 69 | |
| 9 | 2022 | 61 | |
| 10 | 2018 | 60 | |
| 11 | 2015 | 54 | |
| 12 | 2013 | 53 | |
| 13 | 2010 | 46 | |
| 14 | 2013 | 46 | |
| 15 | 2022 | 42 | |
| 16 | 2017 | 42 | |
| 17 | 2015 | 41 | |
| 18 | 2015 | 41 | |
| 19 | 2018 | 34 | |
| 20 | 2021 | 27 |
About Kichun Jo
Kichun Jo is a scholar working on Automotive Engineering, Computer Vision and Pattern Recognition, Aerospace Engineering, Environmental Engineering and Control and Systems Engineering, having authored 94 papers that have together received 2.2k indexed citations. Recurring topics across this work include Autonomous Vehicle Technology and Safety (49 papers), Robotics and Sensor-Based Localization (31 papers), Remote Sensing and LiDAR Applications (23 papers), Robotic Path Planning Algorithms (19 papers), Target Tracking and Data Fusion in Sensor Networks (12 papers), Traffic control and management (12 papers), Vehicle Dynamics and Control Systems (11 papers) and 3D Surveying and Cultural Heritage (10 papers). The work is most often cited by research in Automotive Engineering (1.2k citations), Computer Vision and Pattern Recognition (811 citations), Aerospace Engineering (579 citations), Geology (125 citations) and Control and Systems Engineering (497 citations). Kichun Jo has collaborated with scholars based in South Korea, France and United States. Frequent co-authors include Myoungho Sunwoo, Junsoo Kim, Wontaek Lim, Chulhoon Jang, Dongchul Kim, Seongjin Lee, Min-Chul Lee, Chansoo Kim, Keonyup Chu and Yongwoo Jo. Their work appears in journals such as IEEE Transactions on Intelligent Transportation Systems, IEEE Access, Sensors, IEEE Transactions on Intelligent Vehicles and SAE technical papers on CD-ROM/SAE technical paper series.
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.