Ke Yang
Impact in
-
- Human Pose and Action Recognition
- Video Surveillance and Tracking Methods
- Advanced Image and Video Retrieval Techniques
- Media Technology top 2%
Papers in
-
- Human Pose and Action Recognition 8
- Advanced Image and Video Retrieval Techniques 7
- Video Surveillance and Tracking Methods 7
-
- Solid State Laser Technologies 11
- Co-authors
- Yong Dou (13 shared papers)Dongsheng Li (5 shared papers)Chunyan Ji (3 shared papers)Yong Cheng (3 shared papers)Jonathan Li (7 shared papers)Kai Niu (4 shared papers)Jincheng Dai (4 shared papers)Sixian Wang (4 shared papers)
In The Last Decade
Ke Yang
68 papers receiving 1.2k citations
Ke Yang's Hit Papers
Peers
Comparison fields: 5 of 106
- Computer Vision and Pattern Recognition 480
- Media Technology 142
- Earth-Surface Processes 98
- Ocean Engineering 195
- Artificial Intelligence 325
Countries citing papers authored by Ke Yang
This map shows the geographic impact of Ke 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 Ke Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ke Yang more than expected).
Fields of papers citing papers by Ke Yang
This network shows the impact of papers produced by Ke 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 Ke Yang. The network helps show where Ke Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Ke 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 76 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 133 | |
| 2 | WITT: A Wireless Image Transmission Transformer for Semantic Communications Hit paper breakdown → | 2023 | 109 |
| 3 | 2019 | 97 | |
| 4 | 2017 | 87 | |
| 5 | 2020 | 68 | |
| 6 | 2016 | 53 | |
| 7 | 2018 | 51 | |
| 8 | 2019 | 46 | |
| 9 | 2021 | 41 | |
| 10 | 2021 | 37 | |
| 11 | 2016 | 37 | |
| 12 | 2021 | 30 | |
| 13 | 2024 | 27 | |
| 14 | 2018 | 26 | |
| 15 | 2022 | 25 | |
| 16 | 2018 | 24 | |
| 17 | 2019 | 22 | |
| 18 | 2017 | 20 | |
| 19 | 2022 | 18 | |
| 20 | 2021 | 18 |
About Ke Yang
Ke Yang is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Artificial Intelligence, Ocean Engineering and Media Technology, having authored 76 papers that have together received 1.3k indexed citations. Recurring topics across this work include Solid State Laser Technologies (11 papers), Human Pose and Action Recognition (8 papers), Remote Sensing and LiDAR Applications (8 papers), Photorefractive and Nonlinear Optics (7 papers), Remote-Sensing Image Classification (7 papers), Advanced Image and Video Retrieval Techniques (7 papers), Video Surveillance and Tracking Methods (7 papers) and Automated Road and Building Extraction (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (480 citations), Media Technology (142 citations), Earth-Surface Processes (98 citations), Ocean Engineering (195 citations) and Artificial Intelligence (325 citations). Ke Yang has collaborated with scholars based in China, Canada and Brazil. Frequent co-authors include Yong Dou, Dongsheng Li, Chunyan Ji, Yong Cheng, Jonathan Li, Kai Niu, Jincheng Dai, Sixian Wang, Oleg Gaidai and Shaohe Lv. Their work appears in journals such as Optics & Laser Technology, International Journal of Applied Earth Observation and Geoinformation, IEEE Access, Canadian Journal of Remote Sensing and Multimedia Tools and Applications.
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.