Wei Li
- Media Technology top 0.01%
- Remote-Sensing Image Classification 312
- Advanced Image Fusion Techniques 133
- Computer Vision and Pattern Recognition top 0.05%
- Advanced Neural Network Applications 67
- Image and Signal Denoising Methods 57
- Advanced Image and Video Retrieval Techniques 57
- Atmospheric Science top 0.1%
- Remote Sensing and Land Use 146
- Computational Mathematics top 1%
- Aerospace Engineering top 0.2%
- Infrared Target Detection Methodologies 64
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- Domain Adaptation and Few-Shot Learning 48
Wei Li
641 papers receiving 20.2k citations
Hit Papers
Peers
Comparison fields: 5 of 191
- Media Technology 13.2k
- Computer Vision and Pattern Recognition 7.3k
- Atmospheric Science 6.3k
- Computational Mathematics 89
- Aerospace Engineering 2.7k
Countries citing papers authored by Wei Li
This map shows the geographic impact of Wei 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 Wei Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei Li more than expected).
Fields of papers citing papers by Wei Li
This network shows the impact of papers produced by Wei 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 Wei Li. The network helps show where Wei Li may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Wei 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 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 3 | |
| 7 | 2024 | 2 | |
| 8 | 2024 | 0 | |
| 9 | 2024 | 0 | |
| 10 | 2023 | 9 | |
| 11 | 2023 | 4 | |
| 12 | 2023 | 0 | |
| 13 | 2023 | 1 | |
| 14 | 2023 | 10 | |
| 15 | Cross-Scene Joint Classification of Multisource Data With Multilevel Domain Adaption Networkbreakdown → | 2023 | 90 |
| 16 | 2022 | 9 | |
| 17 | 2020 | 9 | |
| 18 | 2017 | 99 | |
| 19 | 2015 | 1 | |
| 20 | MAT: a Mobile Agent System for Supporting Autonomous Mobile Agents | 2001 | 1 |
About Wei Li
Wei Li is a scholar working on Media Technology, Computer Vision and Pattern Recognition, Atmospheric Science, Aerospace Engineering and Artificial Intelligence, having authored 723 papers that have together received 20.6k indexed citations. Recurring topics across this work include Remote-Sensing Image Classification (312 papers), Remote Sensing and Land Use (146 papers), Advanced Image Fusion Techniques (133 papers), Advanced Neural Network Applications (67 papers), Infrared Target Detection Methodologies (64 papers), Image and Signal Denoising Methods (57 papers), Advanced Image and Video Retrieval Techniques (57 papers) and Domain Adaptation and Few-Shot Learning (48 papers). The work is most often cited by research in Media Technology (13.2k citations), Computer Vision and Pattern Recognition (7.3k citations), Atmospheric Science (6.3k citations), Computational Mathematics (89 citations) and Aerospace Engineering (2.7k citations). Wei Li has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Qian Du, Ran Tao, Mengmeng Zhang, Fan Zhang, James E. Fowler, Saurabh Prasad, Guodong Wu, Heng-Chao Li, Bing Zhang and Chen Chen. Their work appears in journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Geoscience and Remote Sensing Letters, Remote Sensing and IEEE Transactions on Neural Networks and Learning Systems.
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.