Chule Yang
Impact in
-
- Robotic Path Planning Algorithms
- Advanced Image and Video Retrieval Techniques
- Video Surveillance and Tracking Methods
- Advanced Neural Network Applications
- Aerospace Engineering top 5%
- Robotics and Sensor-Based Localization
Papers in
-
- Robotic Path Planning Algorithms 9
- Advanced Image and Video Retrieval Techniques 7
- Video Surveillance and Tracking Methods 6
- Human Pose and Action Recognition 4
-
- Robotics and Sensor-Based Localization 11
- Co-authors
- Yufeng Yue (15 shared papers)Danwei Wang (9 shared papers)Mingxing Wen (11 shared papers)Danwei Wang (7 shared papers)Jun Zhang (5 shared papers)Yuanzhe Wang (5 shared papers)Zhenyu Wu (3 shared papers)Chunyang Zhao (3 shared papers)
In The Last Decade
Chule Yang
25 papers receiving 375 citations
Peers
Comparison fields: 5 of 54
- Computer Vision and Pattern Recognition 238
- Aerospace Engineering 228
- Geology 23
- Instrumentation 11
- Media Technology 22
Countries citing papers authored by Chule Yang
This map shows the geographic impact of Chule Yang'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 Chule Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chule Yang more than expected).
Fields of papers citing papers by Chule Yang
This network shows the impact of papers produced by Chule Yang. 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 Chule Yang. The network helps show where Chule Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Chule Yang, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 48 | |
| 2 | 2020 | 39 | |
| 3 | 2018 | 38 | |
| 4 | 2018 | 35 | |
| 5 | 2019 | 35 | |
| 6 | 2023 | 31 | |
| 7 | 2020 | 26 | |
| 8 | 2018 | 26 | |
| 9 | 2019 | 12 | |
| 10 | 2023 | 12 | |
| 11 | 2022 | 11 | |
| 12 | 2017 | 10 | |
| 13 | 2022 | 10 | |
| 14 | 2018 | 8 | |
| 15 | 2019 | 8 | |
| 16 | 2022 | 6 | |
| 17 | 2018 | 6 | |
| 18 | 2019 | 5 | |
| 19 | 2017 | 4 | |
| 20 | 2022 | 3 |
About Chule Yang
Chule Yang is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Artificial Intelligence, Media Technology and Ocean Engineering, having authored 27 papers that have together received 380 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (11 papers), Robotic Path Planning Algorithms (9 papers), Advanced Image and Video Retrieval Techniques (7 papers), Video Surveillance and Tracking Methods (6 papers), Anomaly Detection Techniques and Applications (4 papers), Human Pose and Action Recognition (4 papers), Remote-Sensing Image Classification (3 papers) and Autonomous Vehicle Technology and Safety (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (238 citations), Aerospace Engineering (228 citations), Geology (23 citations), Instrumentation (11 citations) and Media Technology (22 citations). Chule Yang has collaborated with scholars based in Singapore, China and Japan. Frequent co-authors include Yufeng Yue, Danwei Wang, Mingxing Wen, Danwei Wang, Jun Zhang, Yuanzhe Wang, Zhenyu Wu, Chunyang Zhao, Dayan Wu and Bo Li. Their work appears in journals such as IEEE Transactions on Circuits and Systems for Video Technology, IEEE Systems Journal, IEEE Transactions on Geoscience and Remote Sensing, Applied Sciences and Information Fusion.
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.