Rui Qian
- Computer Vision and Pattern Recognition top 2%
- Artificial Intelligence top 5%
- Signal Processing top 10%
- Human-Computer Interaction top 5%
- Biomedical Engineering
- Co-authors
- Ming–Hsuan YangYin CuiBoqing GongTianjian MengSerge BelongieHuisheng WangWeiyao LinShuyuan Li
- Topics
- Human Pose and Action Recognition (12 papers)Multimodal Machine Learning Applications (10 papers)Domain Adaptation and Few-Shot Learning (6 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceEnvironmental PollutionInternational Journal of Hydrogen Energy
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Rui Qian
20 papers receiving 645 citations
Hit Papers
Peers
Comparison fields: 5 of 70
- Computer Vision and Pattern Recognition 501
- Artificial Intelligence 307
- Signal Processing 73
- Human-Computer Interaction 58
- Biomedical Engineering 57
Countries citing papers authored by Rui Qian
This map shows the geographic impact of Rui Qian'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 Rui Qian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rui Qian more than expected).
Fields of papers citing papers by Rui Qian
This network shows the impact of papers produced by Rui Qian. 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 Rui Qian. The network helps show where Rui Qian may publish in the future.
Co-authorship network of co-authors of Rui Qian
This figure shows the co-authorship network connecting the top 25 collaborators of Rui Qian. A scholar is included among the top collaborators of Rui Qian 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 Rui Qian. Rui Qian 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 | 4 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 3 | |
| 8 | 2 | |
| 9 | 8 | |
| 10 | 14 | |
| 11 | 52 | |
| 12 | 12 | |
| 13 | 71 | |
| 14 | VATT: Transformers for Multimodal Self-Supervised Learning from Raw Video, Audio and Text | 1 |
| 15 | Spatiotemporal Contrastive Video Representation Learningbreakdown → | 259 |
| 16 | 3 | |
| 17 | 30 | |
| 18 | 10 | |
| 19 | Renmin University of China and Zhejiang Gongshang University at TRECVID 2019: Learn to Search and Describe Videos. | 6 |
| 20 | 50 |
About Rui Qian
Rui Qian is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence, having authored 26 papers that have together received 660 indexed citations. Recurring topics across this work include Human Pose and Action Recognition (12 papers), Multimodal Machine Learning Applications (10 papers) and Domain Adaptation and Few-Shot Learning (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (501 citations), Human-Computer Interaction (58 citations) and Artificial Intelligence (307 citations). Rui Qian has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Ming–Hsuan Yang, Yin Cui, Boqing Gong, Tianjian Meng, Serge Belongie, Huisheng Wang, Weiyao Lin, Shuyuan Li, John See and Yuxi Li. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Environmental Pollution and International Journal of Hydrogen Energy.
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.