Qi Qian
- Computer Vision and Pattern Recognition top 2%
- Artificial Intelligence top 2%
- Media Technology top 5%
- Mechanical Engineering
- Ocean Engineering top 10%
- Co-authors
- Rong JinShenghuo ZhuHao LiJuhua HuBaigui SunZhibin WangLei ShangQiang Zhou
- Topics
- Domain Adaptation and Few-Shot Learning (12 papers)Advanced Image and Video Retrieval Techniques (8 papers)Advanced Neural Network Applications (7 papers)
- Journals
- Machine LearningIEEE Transactions on MultimediaJournal of Natural Gas Science and Engineering
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Qi Qian
33 papers receiving 947 citations
Peers
Comparison fields: 5 of 104
- Computer Vision and Pattern Recognition 644
- Artificial Intelligence 508
- Media Technology 59
- Mechanical Engineering 52
- Ocean Engineering 51
Countries citing papers authored by Qi Qian
This map shows the geographic impact of Qi 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 Qi Qian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qi Qian more than expected).
Fields of papers citing papers by Qi Qian
This network shows the impact of papers produced by Qi 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 Qi Qian. The network helps show where Qi Qian may publish in the future.
Co-authorship network of co-authors of Qi Qian
This figure shows the co-authorship network connecting the top 25 collaborators of Qi Qian. A scholar is included among the top collaborators of Qi 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 Qi Qian. Qi 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 | 3 | |
| 3 | 8 | |
| 4 | 5 | |
| 5 | 4 | |
| 6 | 22 | |
| 7 | 4 | |
| 8 | 8 | |
| 9 | 26 | |
| 10 | 75 | |
| 11 | 60 | |
| 12 | 3 | |
| 13 | 219 | |
| 14 | 29 | |
| 15 | 2 | |
| 16 | 12 | |
| 17 | 18 | |
| 18 | An Integrated Framework for High Dimensional Distance Metric Learning and Its Application to Fine-Grained Visual Categorization. | 5 |
| 19 | 83 | |
| 20 | Semi-supervised Clustering by Input Pattern Assisted Pairwise Similarity Matrix Completion | 25 |
About Qi Qian
Qi Qian is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing, having authored 35 papers that have together received 983 indexed citations. Recurring topics across this work include Domain Adaptation and Few-Shot Learning (12 papers), Advanced Image and Video Retrieval Techniques (8 papers) and Advanced Neural Network Applications (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (644 citations), Artificial Intelligence (508 citations) and Media Technology (59 citations). Qi Qian has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Rong Jin, Shenghuo Zhu, Hao Li, Juhua Hu, Baigui Sun, Zhibin Wang, Hao Li, Lei Shang, Qiang Zhou and Chaohui Yu. Their work appears in journals such as Machine Learning, IEEE Transactions on Multimedia and Journal of Natural Gas Science and Engineering.
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.