Chenyu Li
- Media Technology top 0.5%
- Computer Vision and Pattern Recognition top 2%
- Atmospheric Science top 5%
- Artificial Intelligence top 5%
- Aerospace Engineering top 10%
- Co-authors
- Danfeng HongJocelyn ChanussotJing YaoBing ZhangNaoto YokoyaAntonio PlazaJón Atli BenediktssonYuxuan Li
- Topics
- Remote-Sensing Image Classification (13 papers)Advanced Image Fusion Techniques (8 papers)Image and Signal Denoising Methods (4 papers)
In The Last Decade
Chenyu Li
23 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 105
- Media Technology 832
- Computer Vision and Pattern Recognition 516
- Atmospheric Science 302
- Artificial Intelligence 228
- Aerospace Engineering 169
Countries citing papers authored by Chenyu Li
This map shows the geographic impact of Chenyu 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 Chenyu Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chenyu Li more than expected).
Fields of papers citing papers by Chenyu Li
This network shows the impact of papers produced by Chenyu 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 Chenyu Li. The network helps show where Chenyu Li may publish in the future.
Co-authorship network of co-authors of Chenyu Li
This figure shows the co-authorship network connecting the top 25 collaborators of Chenyu Li. A scholar is included among the top collaborators of Chenyu Li 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 Chenyu Li. Chenyu Li is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 9 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 16 | |
| 6 | 6 | |
| 7 | SpectralGPT: Spectral Remote Sensing Foundation Modelbreakdown → | 467 |
| 8 | 23 | |
| 9 | 0 | |
| 10 | Multimodal artificial intelligence foundation models: Unleashing the power of remote sensing big data in earth observationbreakdown → | 65 |
| 11 | 24 | |
| 12 | 0 | |
| 13 | 4 | |
| 14 | 16 | |
| 15 | 0 | |
| 16 | 0 | |
| 17 | LRR-Net: An Interpretable Deep Unfolding Network for Hyperspectral Anomaly Detectionbreakdown → | 214 |
| 18 | Extended Vision Transformer (ExViT) for Land Use and Land Cover Classification: A Multimodal Deep Learning Frameworkbreakdown → | 254 |
| 19 | 27 | |
| 20 | 2 |
About Chenyu Li
Chenyu Li is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Ocean Engineering, having authored 28 papers that have together received 1.6k indexed citations. Recurring topics across this work include Remote-Sensing Image Classification (13 papers), Advanced Image Fusion Techniques (8 papers) and Image and Signal Denoising Methods (4 papers). The work is most often cited by research in Media Technology (832 citations), Computer Vision and Pattern Recognition (516 citations) and Atmospheric Science (302 citations). Chenyu Li has collaborated with scholars based in China, France and Japan. Frequent co-authors include Danfeng Hong, Jocelyn Chanussot, Jing Yao, Bing Zhang, Naoto Yokoya, Antonio Plaza, Jón Atli Benediktsson, Yuxuan Li, Xiuping Jia and Qing Dai. Their work appears in journals such as Advanced Materials, Journal of Applied Physics and IEEE Transactions on Pattern Analysis and Machine Intelligence.
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.