Jie Qiu
- Computer Vision and Pattern Recognition top 10%
- Molecular Biology
- Computational Mechanics
- Computational Theory and Mathematics
- Control and Systems Engineering
- Topics
- Advanced Vision and Imaging (4 papers)Advanced Image and Video Retrieval Techniques (3 papers)3D Shape Modeling and Analysis (3 papers)
- Cited by
- Computer Vision and Pattern RecognitionComputer Graphics and Computer-Aided DesignComputational Theory and Mathematics
- Journals
- SHILAP Revista de lepidopterologíaInternational Journal of Molecular SciencesExpert Systems with Applications
In The Last Decade
Jie Qiu
17 papers receiving 128 citations
Peers
Comparison fields: 5 of 55
- Computer Vision and Pattern Recognition 62
- Molecular Biology 27
- Computational Mechanics 20
- Computational Theory and Mathematics 20
- Control and Systems Engineering 19
Countries citing papers authored by Jie Qiu
This map shows the geographic impact of Jie 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 Jie Qiu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jie Qiu more than expected).
Fields of papers citing papers by Jie Qiu
This network shows the impact of papers produced by Jie 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 Jie Qiu. The network helps show where Jie Qiu may publish in the future.
Co-authorship network of co-authors of Jie Qiu
This figure shows the co-authorship network connecting the top 25 collaborators of Jie Qiu. A scholar is included among the top collaborators of Jie 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 Jie Qiu. Jie 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 | 12 | |
| 3 | 15 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 3 | |
| 7 | 3 | |
| 8 | 2 | |
| 9 | 17 | |
| 10 | 20 | |
| 11 | 7 | |
| 12 | 1 | |
| 13 | 8 | |
| 14 | 17 | |
| 15 | 4 | |
| 16 | Enhanced auto coloring with hierarchical region matching: Image, Colour and Illumination in Animation | 1 |
| 17 | 9 | |
| 18 | 9 |
About Jie Qiu
Jie Qiu is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Computational Theory and Mathematics, having authored 18 papers that have together received 131 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (4 papers), Advanced Image and Video Retrieval Techniques (3 papers) and 3D Shape Modeling and Analysis (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (62 citations), Computer Graphics and Computer-Aided Design (10 citations) and Computational Theory and Mathematics (20 citations). Jie Qiu has collaborated with scholars based in China, Singapore and Japan. Frequent co-authors include Hock Soon Seah, Zhongke Wu, Feng Tian, Ziwu Ren, Tsukasa Ogasawara, Yang Wu, Jun Takamatsu, Fan Yang, Yuting Liu and Wei Liao. Their work appears in journals such as SHILAP Revista de lepidopterología, International Journal of Molecular Sciences and Expert Systems with Applications.
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.