Qinfeng Shi
- Computer Vision and Pattern Recognition top 0.2%
- Artificial Intelligence top 0.5%
- Information Systems top 0.5%
- Media Technology top 0.5%
- Computational Mechanics top 2%
- Co-authors
- Anton van den HengelChunhua ShenJulian McAuleyYanning ZhangDong GongQingsen YanGuosheng LinHanxi Li
- Topics
- Advanced Image Processing Techniques (18 papers)Sparse and Compressive Sensing Techniques (16 papers)Domain Adaptation and Few-Shot Learning (13 papers)
- Journals
- Journal of the American Chemical SocietySHILAP Revista de lepidopterologíaNano Letters
- Partner nations
- AustraliaChinaUnited States
In The Last Decade
Qinfeng Shi
121 papers receiving 5.2k citations
Hit Papers
Peers
Comparison fields: 5 of 167
- Computer Vision and Pattern Recognition 3.4k
- Artificial Intelligence 1.9k
- Information Systems 825
- Media Technology 544
- Computational Mechanics 370
Countries citing papers authored by Qinfeng Shi
This map shows the geographic impact of Qinfeng Shi'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 Qinfeng Shi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qinfeng Shi more than expected).
Fields of papers citing papers by Qinfeng Shi
This network shows the impact of papers produced by Qinfeng Shi. 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 Qinfeng Shi. The network helps show where Qinfeng Shi may publish in the future.
Co-authorship network of co-authors of Qinfeng Shi
This figure shows the co-authorship network connecting the top 25 collaborators of Qinfeng Shi. A scholar is included among the top collaborators of Qinfeng Shi 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 Qinfeng Shi. Qinfeng Shi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 9 | |
| 3 | 1 | |
| 4 | 9 | |
| 5 | 2 | |
| 6 | 2 | |
| 7 | 10 | |
| 8 | 144 | |
| 9 | 9 | |
| 10 | 6 | |
| 11 | 56 | |
| 12 | 16 | |
| 13 | 76 | |
| 14 | 4 | |
| 15 | 63 | |
| 16 | 33 | |
| 17 | 9 | |
| 18 | 40 | |
| 19 | Robust Tracking with Weighted Online Structured Learning | 1 |
| 20 | 8 |
About Qinfeng Shi
Qinfeng Shi is a scholar working on Computer Vision and Pattern Recognition, Computational Mathematics and Signal Processing, having authored 124 papers that have together received 5.4k indexed citations. Recurring topics across this work include Advanced Image Processing Techniques (18 papers), Sparse and Compressive Sensing Techniques (16 papers) and Domain Adaptation and Few-Shot Learning (13 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (3.4k citations), Media Technology (544 citations) and Artificial Intelligence (1.9k citations). Qinfeng Shi has collaborated with scholars based in Australia, China and United States. Frequent co-authors include Anton van den Hengel, Chunhua Shen, Julian McAuley, Yanning Zhang, Dong Gong, Qingsen Yan, Guosheng Lin, Hanxi Li, Ian Reid and Zhen Zhang. Their work appears in journals such as Journal of the American Chemical Society, SHILAP Revista de lepidopterología and Nano 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.