Zhaofan Qiu
- Computer Vision and Pattern Recognition top 0.5%
- Artificial Intelligence top 1%
- Biomedical Engineering top 5%
- Human-Computer Interaction top 1%
- Radiology, Nuclear Medicine and Imaging top 10%
- Topics
- Human Pose and Action Recognition (21 papers)Multimodal Machine Learning Applications (14 papers)Domain Adaptation and Few-Shot Learning (9 papers)
- Journals
- IEEE Transactions on Image ProcessingInternational Journal of Computer VisionIEEE Transactions on Multimedia
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Zhaofan Qiu
35 papers receiving 2.6k citations
Hit Papers
Peers
Comparison fields: 5 of 104
- Computer Vision and Pattern Recognition 2.3k
- Artificial Intelligence 1.2k
- Biomedical Engineering 486
- Human-Computer Interaction 258
- Radiology, Nuclear Medicine and Imaging 132
Countries citing papers authored by Zhaofan Qiu
This map shows the geographic impact of Zhaofan Qiu'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 Zhaofan Qiu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhaofan Qiu more than expected).
Fields of papers citing papers by Zhaofan Qiu
This network shows the impact of papers produced by Zhaofan Qiu. 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 Zhaofan Qiu. The network helps show where Zhaofan Qiu may publish in the future.
Co-authorship network of co-authors of Zhaofan Qiu
This figure shows the co-authorship network connecting the top 25 collaborators of Zhaofan Qiu. A scholar is included among the top collaborators of Zhaofan Qiu 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 Zhaofan Qiu. Zhaofan Qiu 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 | 0 | |
| 3 | 0 | |
| 4 | 5 | |
| 5 | 8 | |
| 6 | 0 | |
| 7 | 7 | |
| 8 | 2 | |
| 9 | 8 | |
| 10 | 2 | |
| 11 | 20 | |
| 12 | 11 | |
| 13 | 9 | |
| 14 | 41 | |
| 15 | 4 | |
| 16 | 24 | |
| 17 | 18 | |
| 18 | 242 | |
| 19 | Learning Spatio-Temporal Representation with Pseudo-3D Residual Networksbreakdown → | 1194 |
| 20 | VIREO-TNO @ TRECVID 2015: Multimedia Event Detection and Video Hyperlinking. | 1 |
About Zhaofan Qiu
Zhaofan Qiu is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Geology, having authored 40 papers that have together received 2.7k indexed citations. Recurring topics across this work include Human Pose and Action Recognition (21 papers), Multimodal Machine Learning Applications (14 papers) and Domain Adaptation and Few-Shot Learning (9 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (2.3k citations), Human-Computer Interaction (258 citations) and Artificial Intelligence (1.2k citations). Zhaofan Qiu has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Ting Yao, Tao Mei, Yiheng Zhang, Jiebo Luo, Xinmei Tian, Dong Liu, Fuchen Long, Yingwei Pan, Chong‐Wah Ngo and Houqiang Li. Their work appears in journals such as IEEE Transactions on Image Processing, International Journal of Computer Vision and IEEE Transactions on Multimedia.
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.