Qi Fan
- Computer Vision and Pattern Recognition top 2%
- Artificial Intelligence top 5%
- Computer Networks and Communications top 10%
- Signal Processing top 10%
- Aerospace Engineering
- Co-authors
- Yu‐Wing TaiChi–Keung TangWei ZhuoDeng-Ping FanHuazhu FuDongxiang ZhangBin JiaKian‐Lee Tan
- Topics
- Advanced Neural Network Applications (6 papers)Robotic Path Planning Algorithms (3 papers)Cloud Computing and Resource Management (3 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceInternational Journal of Computer VisionProceedings of the VLDB Endowment
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Qi Fan
24 papers receiving 667 citations
Hit Papers
Peers
Comparison fields: 5 of 88
- Computer Vision and Pattern Recognition 435
- Artificial Intelligence 280
- Computer Networks and Communications 77
- Signal Processing 76
- Aerospace Engineering 74
Countries citing papers authored by Qi Fan
This map shows the geographic impact of Qi Fan'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 Qi Fan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qi Fan more than expected).
Fields of papers citing papers by Qi Fan
This network shows the impact of papers produced by Qi Fan. 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 Qi Fan. The network helps show where Qi Fan may publish in the future.
Co-authorship network of co-authors of Qi Fan
This figure shows the co-authorship network connecting the top 25 collaborators of Qi Fan. A scholar is included among the top collaborators of Qi Fan 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 Qi Fan. Qi Fan 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 | 5 | |
| 4 | 21 | |
| 5 | 13 | |
| 6 | 0 | |
| 7 | 8 | |
| 8 | 6 | |
| 9 | 61 | |
| 10 | 1 | |
| 11 | 7 | |
| 12 | Few-Shot Object Detection With Attention-RPN and Multi-Relation Detectorbreakdown → | 390 |
| 13 | 4 | |
| 14 | 2 | |
| 15 | 11 | |
| 16 | 1 | |
| 17 | 47 | |
| 18 | 15 | |
| 19 | A shearer dynamic positioning method using strap down inertial navigation | 1 |
| 20 | 0 |
About Qi Fan
Qi Fan is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Networks and Communications, having authored 27 papers that have together received 686 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (6 papers), Robotic Path Planning Algorithms (3 papers) and Cloud Computing and Resource Management (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (435 citations), Artificial Intelligence (280 citations) and Media Technology (69 citations). Qi Fan has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Yu‐Wing Tai, Chi–Keung Tang, Wei Zhuo, Deng-Ping Fan, Huazhu Fu, Dongxiang Zhang, Bin Jia, Kian‐Lee Tan, Wenjuan Lian and Huayu Wu. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, International Journal of Computer Vision and Proceedings of the VLDB Endowment.
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.