Kyungeun Cho
- Computer Vision and Pattern Recognition top 2%
- Aerospace Engineering top 5%
- Environmental Engineering top 5%
- Artificial Intelligence top 10%
- Geology top 5%
- Co-authors
- Yunsick SungKyhyun UmSungdae SimWei SongSimon FongChee Sun WonYoonsu ParkPradip Kumar Sharma
- Topics
- Robotics and Sensor-Based Localization (20 papers)Remote Sensing and LiDAR Applications (19 papers)Autonomous Vehicle Technology and Safety (15 papers)
- Journals
- IEEE AccessSensorsSustainability
- Partner nations
- South KoreaMacaoChina
In The Last Decade
Kyungeun Cho
107 papers receiving 923 citations
Peers
Comparison fields: 5 of 113
- Computer Vision and Pattern Recognition 438
- Aerospace Engineering 253
- Environmental Engineering 179
- Artificial Intelligence 149
- Geology 127
Countries citing papers authored by Kyungeun Cho
This map shows the geographic impact of Kyungeun Cho'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 Kyungeun Cho with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kyungeun Cho more than expected).
Fields of papers citing papers by Kyungeun Cho
This network shows the impact of papers produced by Kyungeun Cho. 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 Kyungeun Cho. The network helps show where Kyungeun Cho may publish in the future.
Co-authorship network of co-authors of Kyungeun Cho
This figure shows the co-authorship network connecting the top 25 collaborators of Kyungeun Cho. A scholar is included among the top collaborators of Kyungeun Cho 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 Kyungeun Cho. Kyungeun Cho is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 2 | |
| 5 | 2 | |
| 6 | 5 | |
| 7 | 4 | |
| 8 | 0 | |
| 9 | 0 | |
| 10 | 8 | |
| 11 | 2 | |
| 12 | 2 | |
| 13 | 2 | |
| 14 | A Normalization Method to Utilize Brain Waves as Brain Computer Interface Game Control | 3 |
| 15 | Multiple Behavior s Learning and Prediction in Unknown Environment | 2 |
| 16 | Motivation based Behavior Sequence Learning for an Autonomous Agent in Virtual Reality | 2 |
| 17 | A Performance Improvement Technique for Nash Q-learning using Macro-Actions | 1 |
| 18 | Top-down Behavior Planning for Real-life Simulation | 7 |
| 19 | A STRATEGY OF TASK ALLOCATION IN A MULTI-AGENT SYSTEM | 1 |
| 20 | A Human Action Recognition Scheme in Temporal Spatial Data for Intelligent Web Browser | 1 |
About Kyungeun Cho
Kyungeun Cho is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Human-Computer Interaction, having authored 115 papers that have together received 967 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (20 papers), Remote Sensing and LiDAR Applications (19 papers) and Autonomous Vehicle Technology and Safety (15 papers). The work is most often cited by research in Geology (127 citations), Instrumentation (78 citations) and Computer Vision and Pattern Recognition (438 citations). Kyungeun Cho has collaborated with scholars based in South Korea, Macao and China. Frequent co-authors include Yunsick Sung, Kyhyun Um, Sungdae Sim, Wei Song, Simon Fong, Chee Sun Won, Yoonsu Park, Pradip Kumar Sharma, Jong Hyuk Park and Sumi Helal. Their work appears in journals such as IEEE Access, Sensors and Sustainability.
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.