Chuanmin Jia
- Computer Vision and Pattern Recognition top 1%
- Signal Processing top 1%
- Artificial Intelligence top 10%
- Electrical and Electronic Engineering
- Media Technology top 10%
- Topics
- Advanced Image Processing Techniques (39 papers)Video Coding and Compression Technologies (34 papers)Advanced Data Compression Techniques (31 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE Transactions on Image ProcessingInternational Journal of Computer Vision
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Chuanmin Jia
70 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 64
- Computer Vision and Pattern Recognition 1.0k
- Signal Processing 487
- Artificial Intelligence 114
- Electrical and Electronic Engineering 54
- Media Technology 49
Countries citing papers authored by Chuanmin Jia
This map shows the geographic impact of Chuanmin Jia'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 Chuanmin Jia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chuanmin Jia more than expected).
Fields of papers citing papers by Chuanmin Jia
This network shows the impact of papers produced by Chuanmin Jia. 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 Chuanmin Jia. The network helps show where Chuanmin Jia may publish in the future.
Co-authorship network of co-authors of Chuanmin Jia
This figure shows the co-authorship network connecting the top 25 collaborators of Chuanmin Jia. A scholar is included among the top collaborators of Chuanmin Jia 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 Chuanmin Jia. Chuanmin Jia 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 | 3 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 12 | |
| 7 | 4 | |
| 8 | 10 | |
| 9 | 17 | |
| 10 | 32 | |
| 11 | 3 | |
| 12 | 1 | |
| 13 | 5 | |
| 14 | 1 | |
| 15 | 0 | |
| 16 | 7 | |
| 17 | 7 | |
| 18 | 144 | |
| 19 | 60 | |
| 20 | 39 |
About Chuanmin Jia
Chuanmin Jia is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Computer Graphics and Computer-Aided Design, having authored 79 papers that have together received 1.2k indexed citations. Recurring topics across this work include Advanced Image Processing Techniques (39 papers), Video Coding and Compression Technologies (34 papers) and Advanced Data Compression Techniques (31 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.0k citations), Signal Processing (487 citations) and Computational Mathematics (5 citations). Chuanmin Jia has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Siwei Ma, Shanshe Wang, Xinfeng Zhang, Shiqi Wang, Wen Gao, Zhenghui Zhao, Jiaying Liu, Shiliang Pu, Jiaqi Zhang and Jian Zhang. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and International Journal of Computer Vision.
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.