Wei Qian
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 10%
- Statistics and Probability top 5%
- Media Technology top 10%
- Environmental Engineering
- Co-authors
- D. M. TitteringtonKanti V. MardiaPeter A. HallLinlin XuYe ChenYudong ChenYuqian ZhangFang Wang
- Topics
- Medical Image Segmentation Techniques (5 papers)Bayesian Methods and Mixture Models (4 papers)Advanced Image and Video Retrieval Techniques (4 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE Transactions on Information TheoryPattern Recognition
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Wei Qian
35 papers receiving 292 citations
Peers
Comparison fields: 5 of 89
- Artificial Intelligence 120
- Computer Vision and Pattern Recognition 108
- Statistics and Probability 59
- Media Technology 40
- Environmental Engineering 27
Countries citing papers authored by Wei Qian
This map shows the geographic impact of Wei 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 Wei Qian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei Qian more than expected).
Fields of papers citing papers by Wei Qian
This network shows the impact of papers produced by Wei 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 Wei Qian. The network helps show where Wei Qian may publish in the future.
Co-authorship network of co-authors of Wei Qian
This figure shows the co-authorship network connecting the top 25 collaborators of Wei Qian. A scholar is included among the top collaborators of Wei 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 Wei Qian. Wei 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 | 2 | |
| 3 | 6 | |
| 4 | 3 | |
| 5 | 2 | |
| 6 | 4 | |
| 7 | 2 | |
| 8 | 1 | |
| 9 | 9 | |
| 10 | 16 | |
| 11 | 2 | |
| 12 | Global Convergence of the EM Algorithm for Mixtures of Two Component Linear Regression | 2 |
| 13 | 3 | |
| 14 | Kalman filtering traffic flow prediction research based on phase space reconstruction | 3 |
| 15 | 1 | |
| 16 | 1 | |
| 17 | 0 | |
| 18 | 32 | |
| 19 | 96 | |
| 20 | 0 |
About Wei Qian
Wei Qian is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing, having authored 39 papers that have together received 314 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (5 papers), Bayesian Methods and Mixture Models (4 papers) and Advanced Image and Video Retrieval Techniques (4 papers). The work is most often cited by research in Statistics and Probability (59 citations), Computer Vision and Pattern Recognition (108 citations) and Media Technology (40 citations). Wei Qian has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include D. M. Titterington, Kanti V. Mardia, Peter A. Hall, Linlin Xu, Ye Chen, Yudong Chen, Yuqian Zhang, Fang Wang, Teresa Wu and James S. Clarke. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Information Theory and Pattern Recognition.
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.