Shihua Li
- Ecology top 2%
- Remote Sensing in Agriculture 31
- Coastal wetland ecosystem dynamics 20
- Environmental Engineering top 2%
- Remote Sensing and LiDAR Applications 34
- Ecological Modeling top 5%
- Global and Planetary Change top 5%
- Land Use and Ecosystem Services 7
- Geology top 5%
- 3D Surveying and Cultural Heritage 7
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- Remote Sensing and Land Use 18
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- Forest ecology and management 11
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- Synthetic Aperture Radar (SAR) Applications and Techniques 7
- Journals
- The Science of The Total Environment (4 papers)Scientific Reports (1 paper)Global Change Biology (1 paper)
- Partner nations
- ChinaUnited StatesSpain
In The Last Decade
Shihua Li
94 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 104
- Ecology 854
- Environmental Engineering 392
- Ecological Modeling 96
- Global and Planetary Change 457
- Geology 90
Countries citing papers authored by Shihua Li
This map shows the geographic impact of Shihua 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 Shihua Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shihua Li more than expected).
Fields of papers citing papers by Shihua Li
This network shows the impact of papers produced by Shihua 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 Shihua Li. The network helps show where Shihua Li may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Shihua 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 2 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 3 | |
| 4 | 2024 | 7 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 2 | |
| 7 | 2023 | 7 | |
| 8 | 2022 | 12 | |
| 9 | 2022 | 4 | |
| 10 | 2021 | 14 | |
| 11 | 2019 | 1 | |
| 12 | 2019 | 3 | |
| 13 | 2019 | 2 | |
| 14 | 2018 | 3 | |
| 15 | 2018 | 196 | |
| 16 | 2016 | 9 | |
| 17 | Building roof point extraction based on airborne LiDAR data | 2016 | 4 |
| 18 | Experimental Study on Variation of Soil Moisture under Different Irrigation Quota | 2010 | 1 |
| 19 | A REVIEW OF METHODS FOR CLASSIFICATION OF REMOTE SENSING IMAGES | 2005 | 7 |
| 20 | Study on Remote Sensing Process Model of Vegetation NPP | 2005 | 1 |
About Shihua Li
Shihua Li is a scholar working on Environmental Engineering, Ecology and Earth-Surface Processes, having authored 102 papers that have together received 1.5k indexed citations. Recurring topics across this work include Remote Sensing and LiDAR Applications (34 papers), Remote Sensing in Agriculture (31 papers), Coastal wetland ecosystem dynamics (20 papers), Remote Sensing and Land Use (18 papers), Forest ecology and management (11 papers), Synthetic Aperture Radar (SAR) Applications and Techniques (7 papers), Land Use and Ecosystem Services (7 papers) and 3D Surveying and Cultural Heritage (7 papers). The work is most often cited by research in Ecology (854 citations), Environmental Engineering (392 citations) and Ecological Modeling (96 citations). Shihua Li has collaborated with scholars based in China, United States and Spain. Frequent co-authors include Zhen‐Ming Ge, Lishan Tan, Ze He, Xiuzhen Li, Yong Wang, Jianwu Tang, Sen Lin, Xuhui Zhou, Baoxuan Jin and Hongshu Wang. Their work appears in journals such as The Science of The Total Environment, Scientific Reports and Global Change Biology.
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.