Hang Yuan
- Computer Vision and Pattern Recognition top 10%
- Computer Networks and Communications
- Information Systems top 10%
- Signal Processing
- Artificial Intelligence
- Co-authors
- C.‐C. Jay KuoIshfaq AhmadWei GaoVijay VaradharajanLan ZhouLei HuangGe LiZhu Li
- Topics
- Video Coding and Compression Technologies (6 papers)Advanced Vision and Imaging (5 papers)Caching and Content Delivery (4 papers)
- Cited by
- Computer Vision and Pattern RecognitionSpace and Planetary ScienceComputer Graphics and Computer-Aided Design
- Journals
- IEEE Transactions on Image ProcessingNuclear Instruments and Methods in Physics Research Section B Beam Interactions with Materials and AtomsIEEE Signal Processing Letters
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Hang Yuan
20 papers receiving 192 citations
Peers
Comparison fields: 5 of 45
- Computer Vision and Pattern Recognition 93
- Computer Networks and Communications 55
- Information Systems 45
- Signal Processing 39
- Artificial Intelligence 26
Countries citing papers authored by Hang Yuan
This map shows the geographic impact of Hang Yuan'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 Hang Yuan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hang Yuan more than expected).
Fields of papers citing papers by Hang Yuan
This network shows the impact of papers produced by Hang Yuan. 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 Hang Yuan. The network helps show where Hang Yuan may publish in the future.
Co-authorship network of co-authors of Hang Yuan
This figure shows the co-authorship network connecting the top 25 collaborators of Hang Yuan. A scholar is included among the top collaborators of Hang Yuan 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 Hang Yuan. Hang Yuan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 3 | |
| 4 | 5 | |
| 5 | 13 | |
| 6 | 1 | |
| 7 | 3 | |
| 8 | 2 | |
| 9 | 15 | |
| 10 | 3 | |
| 11 | 5 | |
| 12 | 3 | |
| 13 | 2 | |
| 14 | 10 | |
| 15 | 63 | |
| 16 | 5 | |
| 17 | 6 | |
| 18 | 1 | |
| 19 | 38 | |
| 20 | 21 |
About Hang Yuan
Hang Yuan is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Computer Graphics and Computer-Aided Design, having authored 21 papers that have together received 202 indexed citations. Recurring topics across this work include Video Coding and Compression Technologies (6 papers), Advanced Vision and Imaging (5 papers) and Caching and Content Delivery (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (93 citations), Space and Planetary Science (5 citations) and Computer Graphics and Computer-Aided Design (13 citations). Hang Yuan has collaborated with scholars based in China, United States and Australia. Frequent co-authors include C.‐C. Jay Kuo, Ishfaq Ahmad, Wei Gao, Vijay Varadharajan, Lan Zhou, Lei Huang, Ge Li, Zhu Li, Lin Wang and Ping Hu. Their work appears in journals such as IEEE Transactions on Image Processing, Nuclear Instruments and Methods in Physics Research Section B Beam Interactions with Materials and Atoms and IEEE Signal Processing Letters.
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.