Zhaokui Li
- Media Technology top 0.5%
- Atmospheric Science top 5%
- Artificial Intelligence top 5%
- Water Science and Technology top 5%
- Biomedical Engineering
- Co-authors
- Qian DuWei LiYushi ChenYimin XuCongjie GaoXueli GaoMing LiuCuiwei Liu
- Topics
- Remote-Sensing Image Classification (35 papers)Remote Sensing and Land Use (17 papers)Advanced Image Fusion Techniques (13 papers)
- Journals
- ACS Applied Materials & InterfacesIEEE Transactions on Geoscience and Remote SensingJournal of Membrane Science
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Zhaokui Li
65 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 100
- Media Technology 665
- Atmospheric Science 354
- Artificial Intelligence 294
- Water Science and Technology 242
- Biomedical Engineering 238
Countries citing papers authored by Zhaokui Li
This map shows the geographic impact of Zhaokui 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 Zhaokui Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhaokui Li more than expected).
Fields of papers citing papers by Zhaokui Li
This network shows the impact of papers produced by Zhaokui 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 Zhaokui Li. The network helps show where Zhaokui Li may publish in the future.
Co-authorship network of co-authors of Zhaokui Li
This figure shows the co-authorship network connecting the top 25 collaborators of Zhaokui Li. A scholar is included among the top collaborators of Zhaokui 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 Zhaokui Li. Zhaokui 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 | 1 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 0 | |
| 8 | 6 | |
| 9 | 3 | |
| 10 | 6 | |
| 11 | 6 | |
| 12 | 12 | |
| 13 | Deep Cross-Domain Few-Shot Learning for Hyperspectral Image Classificationbreakdown → | 216 |
| 14 | 37 | |
| 15 | 60 | |
| 16 | 32 | |
| 17 | 28 | |
| 18 | 69 | |
| 19 | 67 | |
| 20 | Margin Discriminant Projection for Dimensionality Reduction | 5 |
About Zhaokui Li
Zhaokui Li is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Water Science and Technology, having authored 82 papers that have together received 1.2k indexed citations. Recurring topics across this work include Remote-Sensing Image Classification (35 papers), Remote Sensing and Land Use (17 papers) and Advanced Image Fusion Techniques (13 papers). The work is most often cited by research in Media Technology (665 citations), Atmospheric Science (354 citations) and Water Science and Technology (242 citations). Zhaokui Li has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Qian Du, Wei Li, Yushi Chen, Yimin Xu, Congjie Gao, Xueli Gao, Ming Liu, Cuiwei Liu, Zhuoqun Fang and Jinrong He. Their work appears in journals such as ACS Applied Materials & Interfaces, IEEE Transactions on Geoscience and Remote Sensing and Journal of Membrane Science.
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.