Song Li
Impact in
- Instrumentation top 5%
- Advanced Optical Sensing Technologies
- Environmental Engineering top 1%
- Remote Sensing and LiDAR Applications
Papers in
-
- Optical Systems and Laser Technology 25
-
- Remote Sensing and LiDAR Applications 44
- Co-authors
- Yue Ma (60 shared papers)Xiao Hua Wang (14 shared papers)Nan Xu (9 shared papers)Fanlin Yang (6 shared papers)Bisheng Yang (2 shared papers)Zhen Liu (1 shared paper)Zhiyu Zhang (13 shared papers)Xiaokang Yang (3 shared papers)
- Journals
- Remote Sensing (14 papers)Optics Express (13 papers)IEEE Transactions on Geoscience and Remote Sensing (8 papers)Applied Optics (7 papers)IEEE Geoscience and Remote Sensing Letters (5 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Song Li
262 papers receiving 3.1k citations
Song Li's Hit Papers
Peers
Comparison fields: 5 of 166
- Instrumentation 198
- Environmental Engineering 669
- Acoustics and Ultrasonics 28
- Computer Vision and Pattern Recognition 445
- Ceramics and Composites 120
Countries citing papers authored by Song Li
This map shows the geographic impact of Song 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 Song Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Song Li more than expected).
Fields of papers citing papers by Song Li
This network shows the impact of papers produced by Song 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 Song Li. The network helps show where Song Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Song 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
Showing the 20 most-cited of 310 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Satellite-derived bathymetry using the ICESat-2 lidar and Sentinel-2 imagery datasets Hit paper breakdown → | 2020 | 278 |
| 2 | 2013 | 151 | |
| 3 | 2003 | 101 | |
| 4 | 2017 | 93 | |
| 5 | 2019 | 87 | |
| 6 | Exploring potential of urban land-use management on carbon emissions—— A case of Hangzhou, China Hit paper breakdown → | 2023 | 85 |
| 7 | 2015 | 61 | |
| 8 | 2022 | 60 | |
| 9 | 2015 | 50 | |
| 10 | 2018 | 50 | |
| 11 | 2017 | 50 | |
| 12 | 2007 | 45 | |
| 13 | 2014 | 44 | |
| 14 | 2022 | 44 | |
| 15 | 2014 | 43 | |
| 16 | 2021 | 43 | |
| 17 | 2018 | 41 | |
| 18 | 2017 | 39 | |
| 19 | 2014 | 39 | |
| 20 | 2004 | 38 |
About Song Li
Song Li is a scholar working on Electrical and Electronic Engineering, Environmental Engineering, Computer Vision and Pattern Recognition, Global and Planetary Change and Ecology, having authored 310 papers that have together received 3.2k indexed citations. Recurring topics across this work include Remote Sensing and LiDAR Applications (44 papers), Advanced Optical Sensing Technologies (26 papers), Optical Systems and Laser Technology (25 papers), Remote Sensing in Agriculture (14 papers), 3D Surveying and Cultural Heritage (14 papers), Atmospheric aerosols and clouds (12 papers), Atmospheric and Environmental Gas Dynamics (12 papers) and Advanced Data Compression Techniques (10 papers). The work is most often cited by research in Instrumentation (198 citations), Environmental Engineering (669 citations), Acoustics and Ultrasonics (28 citations), Computer Vision and Pattern Recognition (445 citations) and Ceramics and Composites (120 citations). Song Li has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Yue Ma, Xiao Hua Wang, Nan Xu, Fanlin Yang, Bisheng Yang, Zhen Liu, Zhiyu Zhang, Xiaokang Yang, Wei Zhang and Guoxing Zheng. Their work appears in journals such as Remote Sensing, Optics Express, IEEE Transactions on Geoscience and Remote Sensing, Applied Optics and IEEE Geoscience and Remote Sensing 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.