Suju Li
Impact in
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- Flood Risk Assessment and Management
- Media Technology top 10%
- Remote-Sensing Image Classification
Papers in
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- Remote Sensing and Land Use 8
- Cryospheric studies and observations 6
- Tropical and Extratropical Cyclones Research 4
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- Flood Risk Assessment and Management 7
- Co-authors
- Manzul Kumar Hazarika (1 shared paper)Fabio Giulio Tonolo (1 shared paper)Stefan Voigt (1 shared paper)Brenda K. Jones (1 shared paper)Tobias Schneiderhan (1 shared paper)Debarati Guha‐Sapir (1 shared paper)Jan Kučera (1 shared paper)Kazuya Kaku (1 shared paper)
In The Last Decade
Suju Li
25 papers receiving 280 citations
Peers
Comparison fields: 5 of 73
- Global and Planetary Change 103
- Media Technology 35
- Atmospheric Science 69
- Space and Planetary Science 4
- Geography, Planning and Development 15
Countries citing papers authored by Suju Li
This map shows the geographic impact of Suju 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 Suju Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Suju Li more than expected).
Fields of papers citing papers by Suju Li
This network shows the impact of papers produced by Suju 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 Suju Li. The network helps show where Suju Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Suju 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 176 | |
| 2 | 2002 | 22 | |
| 3 | 2023 | 12 | |
| 4 | 2017 | 11 | |
| 5 | 2025 | 9 | |
| 6 | 2024 | 8 | |
| 7 | 2019 | 7 | |
| 8 | 2019 | 5 | |
| 9 | 2016 | 5 | |
| 10 | 2023 | 4 | |
| 11 | 2022 | 4 | |
| 12 | 2024 | 4 | |
| 13 | 2025 | 3 | |
| 14 | Temporal variation and regional differences of ecosystem service value of Nanjing City. | 2009 | 3 |
| 15 | 2024 | 2 | |
| 16 | 2015 | 2 | |
| 17 | 2025 | 2 | |
| 18 | A Method of Automatically Extracting Forest Fire Burned Areas Using Gf-1 Remote Sensing Images | 2019 | 1 |
| 19 | 2025 | 1 | |
| 20 | 2024 | 1 |
About Suju Li
Suju Li is a scholar working on Atmospheric Science, Global and Planetary Change, Ecology, Artificial Intelligence and Media Technology, having authored 30 papers that have together received 287 indexed citations. Recurring topics across this work include Remote Sensing and Land Use (8 papers), Flood Risk Assessment and Management (7 papers), Remote Sensing in Agriculture (6 papers), Cryospheric studies and observations (6 papers), Tropical and Extratropical Cyclones Research (4 papers), Remote-Sensing Image Classification (4 papers), earthquake and tectonic studies (3 papers) and Landslides and related hazards (3 papers). The work is most often cited by research in Global and Planetary Change (103 citations), Media Technology (35 citations), Atmospheric Science (69 citations), Space and Planetary Science (4 citations) and Geography, Planning and Development (15 citations). Suju Li has collaborated with scholars based in China, Taiwan and Thailand. Frequent co-authors include Manzul Kumar Hazarika, Fabio Giulio Tonolo, Stefan Voigt, Brenda K. Jones, Tobias Schneiderhan, Debarati Guha‐Sapir, Jan Kučera, Kazuya Kaku, Catherine Proy and Godstime K. James. Their work appears in journals such as Remote Sensing, International Journal of Applied Earth Observation and Geoinformation, Advances in Climate Change Research, International Journal of Digital Earth and Engineering Applications of Artificial Intelligence.
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.