Jiaxin Li
- Media Technology top 0.5%
- Remote-Sensing Image Classification 25
- Advanced Image Fusion Techniques 23
- Computational Mathematics top 10%
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- Image and Signal Denoising Methods 14
- Atmospheric Science top 10%
- Remote Sensing and Land Use 5
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- Advanced Combustion Engine Technologies 5
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- interferon and immune responses 4
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- Combustion and flame dynamics 4
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- Engineering Diagnostics and Reliability 3
- Co-authors
- Ke ZhengLianru GaoJocelyn ChanussotDanfeng HongXiuping JiaJing YaoBing ZhangZhi Li
- Partner nations
- ChinaFranceUnited States
In The Last Decade
Jiaxin Li
73 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 131
- Media Technology 862
- Computational Mathematics 16
- Computer Vision and Pattern Recognition 523
- Atmospheric Science 185
- Fluid Flow and Transfer Processes 56
Countries citing papers authored by Jiaxin Li
This map shows the geographic impact of Jiaxin Li'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 Jiaxin Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jiaxin Li more than expected).
Fields of papers citing papers by Jiaxin Li
This network shows the impact of papers produced by Jiaxin Li. 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 Jiaxin Li. The network helps show where Jiaxin Li may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jiaxin Li, 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 | 0 | |
| 2 | 2025 | 3 | |
| 3 | 2025 | 1 | |
| 4 | 2025 | 4 | |
| 5 | 2025 | 1 | |
| 6 | Enhanced Deep Image Prior for Unsupervised Hyperspectral Image Super-Resolutionbreakdown → | 2025 | 81 |
| 7 | 2025 | 0 | |
| 8 | 2025 | 2 | |
| 9 | 2024 | 10 | |
| 10 | 2024 | 4 | |
| 11 | 2024 | 24 | |
| 12 | 2024 | 3 | |
| 13 | 2024 | 5 | |
| 14 | Model-Informed Multistage Unsupervised Network for Hyperspectral Image Super-Resolutionbreakdown → | 2024 | 126 |
| 15 | 2023 | 25 | |
| 16 | 2023 | 6 | |
| 17 | 2023 | 94 | |
| 18 | Enhanced Autoencoders With Attention-Embedded Degradation Learning for Unsupervised Hyperspectral Image Super-Resolutionbreakdown → | 2023 | 138 |
| 19 | Deep Unsupervised Blind Hyperspectral and Multispectral Data Fusionbreakdown → | 2022 | 142 |
| 20 | Deep learning in multimodal remote sensing data fusion: A comprehensive reviewbreakdown → | 2022 | 392 |
About Jiaxin Li
Jiaxin Li is a scholar working on Media Technology, Computational Mathematics and Computer Vision and Pattern Recognition, having authored 84 papers that have together received 1.7k indexed citations. Recurring topics across this work include Remote-Sensing Image Classification (25 papers), Advanced Image Fusion Techniques (23 papers), Image and Signal Denoising Methods (14 papers), Remote Sensing and Land Use (5 papers), Advanced Combustion Engine Technologies (5 papers), interferon and immune responses (4 papers), Combustion and flame dynamics (4 papers) and Engineering Diagnostics and Reliability (3 papers). The work is most often cited by research in Media Technology (862 citations), Computational Mathematics (16 citations) and Computer Vision and Pattern Recognition (523 citations). Jiaxin Li has collaborated with scholars based in China, France and United States. Frequent co-authors include Ke Zheng, Lianru Gao, Jocelyn Chanussot, Danfeng Hong, Xiuping Jia, Jing Yao, Bing Zhang, Zhi Li, Li Ni and Jing Yao. Their work appears in journals such as Nature Communications, Journal of Virology and Scientific Reports.
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.