Guang Li
Impact in
- Geophysics top 5%
- Geophysical and Geoelectrical Methods
- Seismic Waves and Analysis
-
- Image and Signal Denoising Methods
Papers in
- Geophysics 27
- Geophysical and Geoelectrical Methods 26
- Seismic Waves and Analysis 12
- Seismic Imaging and Inversion Techniques 4
-
- Image and Signal Denoising Methods 8
- Co-authors
- Hengquan Yang (4 shared papers)Jingtian Tang (19 shared papers)Xiaoqiong Liu (8 shared papers)Zhancheng Ma (2 shared papers)Cong Zhou (10 shared papers)Qingsong Yang (1 shared paper)Yi Zhang (1 shared paper)Lars Gjesteby (1 shared paper)
- Journals
- IEEE Transactions on Geoscience and Remote Sensing (5 papers)Geophysics (3 papers)IEEE Access (2 papers)Green Chemistry (2 papers)Scientific Reports (1 paper)
- Partner nations
- ChinaJapanUnited States
In The Last Decade
Guang Li
62 papers receiving 938 citations
Peers
Comparison fields: 5 of 114
- Geophysics 251
- Computer Vision and Pattern Recognition 187
- Organic Chemistry 225
- Ocean Engineering 110
- Radiology, Nuclear Medicine and Imaging 138
Countries citing papers authored by Guang Li
This map shows the geographic impact of Guang 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 Guang Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guang Li more than expected).
Fields of papers citing papers by Guang Li
This network shows the impact of papers produced by Guang 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 Guang Li. The network helps show where Guang Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Guang 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 71 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 183 | |
| 2 | 2011 | 96 | |
| 3 | 2010 | 49 | |
| 4 | 2010 | 45 | |
| 5 | 2011 | 39 | |
| 6 | 2020 | 38 | |
| 7 | 2021 | 35 | |
| 8 | 2023 | 35 | |
| 9 | 2019 | 35 | |
| 10 | 2016 | 33 | |
| 11 | 2015 | 30 | |
| 12 | 2020 | 28 | |
| 13 | 2017 | 25 | |
| 14 | 2018 | 21 | |
| 15 | 2021 | 17 | |
| 16 | 2020 | 16 | |
| 17 | 2015 | 15 | |
| 18 | 2023 | 14 | |
| 19 | 2022 | 12 | |
| 20 | 2021 | 11 |
About Guang Li
Guang Li is a scholar working on Geophysics, Computer Vision and Pattern Recognition, Ocean Engineering, Artificial Intelligence and Biomedical Engineering, having authored 71 papers that have together received 947 indexed citations. Recurring topics across this work include Geophysical and Geoelectrical Methods (26 papers), Seismic Waves and Analysis (12 papers), Geophysical Methods and Applications (8 papers), Image and Signal Denoising Methods (8 papers), Underwater Acoustics Research (7 papers), Blind Source Separation Techniques (6 papers), Seismic Imaging and Inversion Techniques (4 papers) and Catalytic Cross-Coupling Reactions (4 papers). The work is most often cited by research in Geophysics (251 citations), Computer Vision and Pattern Recognition (187 citations), Organic Chemistry (225 citations), Ocean Engineering (110 citations) and Radiology, Nuclear Medicine and Imaging (138 citations). Guang Li has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Hengquan Yang, Jingtian Tang, Xiaoqiong Liu, Zhancheng Ma, Cong Zhou, Qingsong Yang, Yi Zhang, Lars Gjesteby, Hongming Shan and Ge Wang. Their work appears in journals such as IEEE Transactions on Geoscience and Remote Sensing, Geophysics, IEEE Access, Green Chemistry and Scientific Reports.
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.