Shuang Yang
- Computer Vision and Pattern Recognition top 5%
- Signal Processing top 2%
- Artificial Intelligence top 10%
- Aerospace Engineering top 10%
- Electrical and Electronic Engineering
- Co-authors
- Shiguang ShanXilin ChenXingwen ZhangYuanhang ZhangWeiming HuChunfeng YuanFeng ZhouBao-Gang Hu
- Topics
- Speech and Audio Processing (9 papers)Face recognition and analysis (5 papers)Flood Risk Assessment and Management (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEIEEE Transactions on Pattern Analysis and Machine Intelligence
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Shuang Yang
55 papers receiving 765 citations
Peers
Comparison fields: 5 of 93
- Computer Vision and Pattern Recognition 284
- Signal Processing 260
- Artificial Intelligence 188
- Aerospace Engineering 113
- Electrical and Electronic Engineering 103
Countries citing papers authored by Shuang Yang
This map shows the geographic impact of Shuang 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 Shuang Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shuang Yang more than expected).
Fields of papers citing papers by Shuang Yang
This network shows the impact of papers produced by Shuang 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 Shuang Yang. The network helps show where Shuang Yang may publish in the future.
Co-authorship network of co-authors of Shuang Yang
This figure shows the co-authorship network connecting the top 25 collaborators of Shuang Yang. A scholar is included among the top collaborators of Shuang Yang 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 Shuang Yang. Shuang Yang 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 | 4 | |
| 3 | 0 | |
| 4 | 5 | |
| 5 | 0 | |
| 6 | 3 | |
| 7 | 2 | |
| 8 | 4 | |
| 9 | 23 | |
| 10 | 24 | |
| 11 | 8 | |
| 12 | A Learning-based Iterative Method for Solving Vehicle Routing Problems | 73 |
| 13 | 1 | |
| 14 | 36 | |
| 15 | 6 | |
| 16 | 104 | |
| 17 | 10 | |
| 18 | 31 | |
| 19 | 5 | |
| 20 | 8 |
About Shuang Yang
Shuang Yang is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Space and Planetary Science, having authored 61 papers that have together received 791 indexed citations. Recurring topics across this work include Speech and Audio Processing (9 papers), Face recognition and analysis (5 papers) and Flood Risk Assessment and Management (5 papers). The work is most often cited by research in Signal Processing (260 citations), Computer Vision and Pattern Recognition (284 citations) and Human-Computer Interaction (51 citations). Shuang Yang has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Shiguang Shan, Xilin Chen, Xingwen Zhang, Yuanhang Zhang, Weiming Hu, Chunfeng Yuan, Feng Zhou, Bao-Gang Hu, Xuesong Cai and Keyu Long. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Transactions on Pattern Analysis and Machine Intelligence.
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.