Jie Chen
- Computational Mathematics top 1%
- Media Technology top 0.2%
- Remote-Sensing Image Classification 57
- Advanced Image Fusion Techniques 49
- Signal Processing top 0.5%
- Speech and Audio Processing 50
- Blind Source Separation Techniques 37
- Computational Mechanics top 0.5%
- Advanced Adaptive Filtering Techniques 70
- Sparse and Compressive Sensing Techniques 36
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- Image and Signal Denoising Methods 27
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- Remote Sensing and Land Use 31
- Co-authors
- Cédric RichardXiaoming HuoAli H. SayedMin ZhaoYousef SaadSusanto RahardjaPaul HoneinéJingen Ni
- Journals
- Signal Processing (15 papers)IEEE Transactions on Signal Processing (15 papers)IEEE Transactions on Geoscience and Remote Sensing (14 papers)
- Partner nations
- ChinaFranceUnited States
In The Last Decade
Jie Chen
222 papers receiving 4.2k citations
Hit Papers
Peers
Comparison fields: 5 of 147
- Computational Mathematics 108
- Media Technology 1.1k
- Signal Processing 1.2k
- Computational Mechanics 1.6k
- Computer Vision and Pattern Recognition 875
Countries citing papers authored by Jie Chen
This map shows the geographic impact of Jie Chen'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 Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jie Chen more than expected).
Fields of papers citing papers by Jie Chen
This network shows the impact of papers produced by Jie Chen. 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 Chen. The network helps show where Jie Chen may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jie Chen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 2 | |
| 4 | 2025 | 5 | |
| 5 | 2025 | 0 | |
| 6 | 2024 | 0 | |
| 7 | 2024 | 2 | |
| 8 | 2024 | 0 | |
| 9 | 2024 | 3 | |
| 10 | 2024 | 14 | |
| 11 | 2023 | 3 | |
| 12 | 2023 | 9 | |
| 13 | 2023 | 5 | |
| 14 | 2023 | 51 | |
| 15 | 2023 | 4 | |
| 16 | 2022 | 2 | |
| 17 | 2022 | 12 | |
| 18 | 2022 | 36 | |
| 19 | 2021 | 64 | |
| 20 | 2020 | 34 |
About Jie Chen
Jie Chen is a scholar working on Computational Mathematics, Media Technology and Signal Processing, having authored 249 papers that have together received 4.3k indexed citations. Recurring topics across this work include Advanced Adaptive Filtering Techniques (70 papers), Remote-Sensing Image Classification (57 papers), Speech and Audio Processing (50 papers), Advanced Image Fusion Techniques (49 papers), Blind Source Separation Techniques (37 papers), Sparse and Compressive Sensing Techniques (36 papers), Remote Sensing and Land Use (31 papers) and Image and Signal Denoising Methods (27 papers). The work is most often cited by research in Computational Mathematics (108 citations), Media Technology (1.1k citations) and Signal Processing (1.2k citations). Jie Chen has collaborated with scholars based in China, France and United States. Frequent co-authors include Cédric Richard, Xiaoming Huo, Ali H. Sayed, Min Zhao, Yousef Saad, Susanto Rahardja, Paul Honeiné, Jingen Ni, Wei Gao and Wei Chen. Their work appears in journals such as Signal Processing, IEEE Transactions on Signal Processing, IEEE Transactions on Geoscience and Remote Sensing, IEEE Signal Processing Letters and IEEE Geoscience and Remote Sensing Letters.
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.