Jiangtao Wen
- Computer Vision and Pattern Recognition top 1%
- Computer Networks and Communications top 2%
- Information Systems top 1%
- Signal Processing top 2%
- Artificial Intelligence top 5%
- Topics
- Video Coding and Compression Technologies (42 papers)Advanced Vision and Imaging (32 papers)Image and Video Quality Assessment (22 papers)
- Cited by
- Computer Vision and Pattern RecognitionSignal ProcessingComputer Networks and Communications
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Jiangtao Wen
95 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 90
- Computer Vision and Pattern Recognition 1.1k
- Computer Networks and Communications 551
- Information Systems 538
- Signal Processing 420
- Artificial Intelligence 369
Countries citing papers authored by Jiangtao Wen
This map shows the geographic impact of Jiangtao Wen'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 Jiangtao Wen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jiangtao Wen more than expected).
Fields of papers citing papers by Jiangtao Wen
This network shows the impact of papers produced by Jiangtao Wen. 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 Jiangtao Wen. The network helps show where Jiangtao Wen may publish in the future.
Co-authorship network of co-authors of Jiangtao Wen
This figure shows the co-authorship network connecting the top 25 collaborators of Jiangtao Wen. A scholar is included among the top collaborators of Jiangtao Wen 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 Jiangtao Wen. Jiangtao Wen 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 | 60 | |
| 4 | AGEM: Solving Linear Inverse Problems via Deep Priors and Sampling | 3 |
| 5 | 3 | |
| 6 | 2 | |
| 7 | 2 | |
| 8 | 1 | |
| 9 | Underdetermined blind source separation of pipeline leak vibration signals based on empirical mode decomposition and joint approximate diagonalization of eigenmatrices | 7 |
| 10 | 3 | |
| 11 | 13 | |
| 12 | 29 | |
| 13 | 2 | |
| 14 | 205 | |
| 15 | 5 | |
| 16 | 10 | |
| 17 | 5 | |
| 18 | 1 | |
| 19 | 18 | |
| 20 | 2 |
About Jiangtao Wen
Jiangtao Wen is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Computer Networks and Communications, having authored 98 papers that have together received 1.9k indexed citations. Recurring topics across this work include Video Coding and Compression Technologies (42 papers), Advanced Vision and Imaging (32 papers) and Image and Video Quality Assessment (22 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.1k citations), Signal Processing (420 citations) and Computer Networks and Communications (551 citations). Jiangtao Wen has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Yu Zhang, John Villasenor, Dong Xuan, Yi Pang, Hyungjin Kim, Wenjun Zeng, Jingyuan Wang, Yuxing Han, Yuxing Han and Jun Zhang. Their work appears in journals such as Proceedings of the IEEE, Food Chemistry and IEEE Transactions on Information Theory.
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.