Ye Yu
Impact in
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- Human Pose and Action Recognition
- Multimodal Machine Learning Applications
Papers in
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- Human Pose and Action Recognition 4
- Advanced Vision and Imaging 3
- Image Enhancement Techniques 2
- Data Visualization and Analytics 2
- Advanced Image Processing Techniques 2
- Multimodal Machine Learning Applications 2
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- Anomaly Detection Techniques and Applications 2
- Co-authors
- Niraj K. Jha (4 shared papers)Jiaxin Du (1 shared paper)Xinyue Ye (1 shared paper)William A. P. Smith (3 shared papers)Wei Zeng (1 shared paper)Qun Jane Gu (1 shared paper)Yuhao Liu (1 shared paper)Bo Yu (1 shared paper)
- Journals
- Environment and Planning B Urban Analytics and City Science (1 paper)IEEE Transactions on Nanotechnology (1 paper)ACM Journal on Emerging Technologies in Computing Systems (1 paper)IEEE Transactions on Emerging Topics in Computing (1 paper)IEEE Computer Graphics and Applications (1 paper)
- Partner nations
- United StatesUnited KingdomChina
In The Last Decade
Ye Yu
17 papers receiving 241 citations
Peers
Comparison fields: 5 of 56
- Computer Graphics and Computer-Aided Design 21
- Computer Vision and Pattern Recognition 100
- Architecture 6
- Transportation 17
- Hardware and Architecture 14
Countries citing papers authored by Ye Yu
This map shows the geographic impact of Ye Yu'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 Ye Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ye Yu more than expected).
Fields of papers citing papers by Ye Yu
This network shows the impact of papers produced by Ye Yu. 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 Ye Yu. The network helps show where Ye Yu may publish in the future.
Co-authors
The 25 scholars most cited alongside Ye Yu, 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 | 2015 | 50 | |
| 2 | 2021 | 43 | |
| 3 | 2020 | 24 | |
| 4 | 2023 | 23 | |
| 5 | 2017 | 20 | |
| 6 | 2018 | 19 | |
| 7 | 2021 | 16 | |
| 8 | 2021 | 15 | |
| 9 | 2018 | 10 | |
| 10 | 2023 | 9 | |
| 11 | 2017 | 6 | |
| 12 | 2023 | 4 | |
| 13 | 2017 | 3 | |
| 14 | 2024 | 2 | |
| 15 | 2019 | 2 | |
| 16 | 2025 | 1 | |
| 17 | 2025 | 1 |
About Ye Yu
Ye Yu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Electrical and Electronic Engineering, Computer Networks and Communications and Hardware and Architecture, having authored 17 papers that have together received 248 indexed citations. Recurring topics across this work include Human Pose and Action Recognition (4 papers), Advanced Vision and Imaging (3 papers), Image Enhancement Techniques (2 papers), Data Visualization and Analytics (2 papers), Advanced Memory and Neural Computing (2 papers), Anomaly Detection Techniques and Applications (2 papers), Advanced Image Processing Techniques (2 papers) and Multimodal Machine Learning Applications (2 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (21 citations), Computer Vision and Pattern Recognition (100 citations), Architecture (6 citations), Transportation (17 citations) and Hardware and Architecture (14 citations). Ye Yu has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Niraj K. Jha, Jiaxin Du, Xinyue Ye, William A. P. Smith, Wei Zeng, Qun Jane Gu, Yuhao Liu, Bo Yu, Junyan Ren and Xiaoguang Liu. Their work appears in journals such as Environment and Planning B Urban Analytics and City Science, IEEE Transactions on Nanotechnology, ACM Journal on Emerging Technologies in Computing Systems, IEEE Transactions on Emerging Topics in Computing and IEEE Computer Graphics 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.