Xiaonan Lü
- Media Technology top 1%
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Electrical and Electronic Engineering
- Atomic and Molecular Physics, and Optics
- Topics
- Advanced Image and Video Retrieval Techniques (8 papers)Advanced Optical Imaging Technologies (7 papers)Remote-Sensing Image Classification (6 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Geoscience and Remote SensingOptics Letters
- Partner nations
- United StatesChinaGermany
In The Last Decade
Xiaonan Lü
36 papers receiving 808 citations
Hit Papers
Peers
Comparison fields: 5 of 81
- Media Technology 434
- Computer Vision and Pattern Recognition 343
- Artificial Intelligence 153
- Electrical and Electronic Engineering 139
- Atomic and Molecular Physics, and Optics 135
Countries citing papers authored by Xiaonan Lü
This map shows the geographic impact of Xiaonan Lü'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 Xiaonan Lü with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaonan Lü more than expected).
Fields of papers citing papers by Xiaonan Lü
This network shows the impact of papers produced by Xiaonan Lü. 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 Xiaonan Lü. The network helps show where Xiaonan Lü may publish in the future.
Co-authorship network of co-authors of Xiaonan Lü
This figure shows the co-authorship network connecting the top 25 collaborators of Xiaonan Lü. A scholar is included among the top collaborators of Xiaonan Lü 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 Xiaonan Lü. Xiaonan Lü is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 31 | |
| 3 | 34 | |
| 4 | 5 | |
| 5 | RingMo: A Remote Sensing Foundation Model With Masked Image Modelingbreakdown → | 180 |
| 6 | 5 | |
| 7 | 16 | |
| 8 | 28 | |
| 9 | 41 | |
| 10 | 3 | |
| 11 | 2 | |
| 12 | Image analysis and metadata extraction for document search | 1 |
| 13 | 34 | |
| 14 | 1 | |
| 15 | 4 | |
| 16 | 1 | |
| 17 | 2 | |
| 18 | 4 | |
| 19 | 3 | |
| 20 | 3 |
About Xiaonan Lü
Xiaonan Lü is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Geology, having authored 36 papers that have together received 833 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (8 papers), Advanced Optical Imaging Technologies (7 papers) and Remote-Sensing Image Classification (6 papers). The work is most often cited by research in Media Technology (434 citations), Computer Vision and Pattern Recognition (343 citations) and Geology (40 citations). Xiaonan Lü has collaborated with scholars based in United States, China and Germany. Frequent co-authors include F. T. S. Yu, Xian Sun, Peijin Wang, Kun Fu, Wenhui Diao, Junxi Li, Yongqiang Mao, James Z. Wang, C. Lee Giles and Prasenjit Mitra. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Geoscience and Remote Sensing and Optics 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.