Shan Gai
- Computer Vision and Pattern Recognition top 2%
- Electrical and Electronic Engineering
- Media Technology top 2%
- Hardware and Architecture top 5%
- Artificial Intelligence
- Co-authors
- Guowei YangMinghua WanLei WangCihui YangFabio SomenziPier Luca MontessoroJing WenXiang Huang
- Topics
- Image and Signal Denoising Methods (31 papers)Advanced Image Fusion Techniques (27 papers)VLSI and Analog Circuit Testing (22 papers)
- Journals
- Proceedings of the IEEEIEEE Transactions on Image ProcessingExpert Systems with Applications
- Partner nations
- ChinaItalyUnited States
In The Last Decade
Shan Gai
73 papers receiving 837 citations
Peers
Comparison fields: 5 of 83
- Computer Vision and Pattern Recognition 412
- Electrical and Electronic Engineering 296
- Media Technology 187
- Hardware and Architecture 164
- Artificial Intelligence 78
Countries citing papers authored by Shan Gai
This map shows the geographic impact of Shan Gai'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 Shan Gai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shan Gai more than expected).
Fields of papers citing papers by Shan Gai
This network shows the impact of papers produced by Shan Gai. 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 Shan Gai. The network helps show where Shan Gai may publish in the future.
Co-authorship network of co-authors of Shan Gai
This figure shows the co-authorship network connecting the top 25 collaborators of Shan Gai. A scholar is included among the top collaborators of Shan Gai 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 Shan Gai. Shan Gai 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 | 1 | |
| 3 | 0 | |
| 4 | 23 | |
| 5 | 8 | |
| 6 | 9 | |
| 7 | 3 | |
| 8 | 4 | |
| 9 | 55 | |
| 10 | 17 | |
| 11 | 4 | |
| 12 | 1 | |
| 13 | 4 | |
| 14 | 7 | |
| 15 | 2 | |
| 16 | 15 | |
| 17 | 15 | |
| 18 | 1 | |
| 19 | 10 | |
| 20 | PART: Programmable ARray Testing based on PARTitioning algorithm | 0 |
About Shan Gai
Shan Gai is a scholar working on Media Technology, Hardware and Architecture and Computer Vision and Pattern Recognition, having authored 84 papers that have together received 879 indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (31 papers), Advanced Image Fusion Techniques (27 papers) and VLSI and Analog Circuit Testing (22 papers). The work is most often cited by research in Hardware and Architecture (164 citations), Media Technology (187 citations) and Computer Vision and Pattern Recognition (412 citations). Shan Gai has collaborated with scholars based in China, Italy and United States. Frequent co-authors include Guowei Yang, Minghua Wan, Lei Wang, Cihui Yang, Fabio Somenzi, Pier Luca Montessoro, Jing Wen, Xiang Huang, Boyu Zhang and Sheng Zhang. Their work appears in journals such as Proceedings of the IEEE, IEEE Transactions on Image Processing and Expert Systems with 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.