Shilong Ren
- Ecological Modeling top 5%
- Species Distribution and Climate Change 8
- Global and Planetary Change top 5%
- Plant Water Relations and Carbon Dynamics 15
- Land Use and Ecosystem Services 10
- Ecology top 5%
- Remote Sensing in Agriculture 24
- Atmospheric Science top 10%
- Geology and Paleoclimatology Research 2
- Environmental Engineering top 10%
- Remote Sensing and LiDAR Applications 3
-
- Soil erosion and sediment transport 2
-
- Hydrology and Watershed Management Studies 2
- Journals
- Remote Sensing (10 papers)The Science of The Total Environment (5 papers)Agricultural and Forest Meteorology (4 papers)
- Partner nations
- ChinaUnited StatesSwitzerland
In The Last Decade
Shilong Ren
33 papers receiving 884 citations
Peers
Comparison fields: 5 of 55
- Ecological Modeling 183
- Global and Planetary Change 493
- Ecology 559
- Atmospheric Science 249
- Environmental Engineering 132
Countries citing papers authored by Shilong Ren
This map shows the geographic impact of Shilong Ren'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 Shilong Ren with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shilong Ren more than expected).
Fields of papers citing papers by Shilong Ren
This network shows the impact of papers produced by Shilong Ren. 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 Shilong Ren. The network helps show where Shilong Ren may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Shilong Ren, 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 | 3 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 1 | |
| 4 | 2025 | 0 | |
| 5 | 2025 | 0 | |
| 6 | 2025 | 2 | |
| 7 | 2024 | 7 | |
| 8 | 2024 | 4 | |
| 9 | 2024 | 7 | |
| 10 | 2023 | 5 | |
| 11 | 2021 | 33 | |
| 12 | 2021 | 8 | |
| 13 | 2020 | 55 | |
| 14 | 2019 | 12 | |
| 15 | 2019 | 23 | |
| 16 | 2019 | 56 | |
| 17 | 2018 | 35 | |
| 18 | 2017 | 7 | |
| 19 | 2016 | 80 | |
| 20 | 2013 | 64 |
About Shilong Ren
Shilong Ren is a scholar working on Ecological Modeling, Global and Planetary Change and Ecology, having authored 36 papers that have together received 893 indexed citations. Recurring topics across this work include Remote Sensing in Agriculture (24 papers), Plant Water Relations and Carbon Dynamics (15 papers), Land Use and Ecosystem Services (10 papers), Species Distribution and Climate Change (8 papers), Remote Sensing and LiDAR Applications (3 papers), Geology and Paleoclimatology Research (2 papers), Soil erosion and sediment transport (2 papers) and Hydrology and Watershed Management Studies (2 papers). The work is most often cited by research in Ecological Modeling (183 citations), Global and Planetary Change (493 citations) and Ecology (559 citations). Shilong Ren has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include Shuhua Yi, Matthias Peichl, Xiaoqiu Chen, Shuai An, Qiming Qin, Qin Yu, Huazhong Ren, Jianjun Chen, Xiaoyun Wang and Yating Li. Their work appears in journals such as Remote Sensing, The Science of The Total Environment, Agricultural and Forest Meteorology, International Journal of Biometeorology and Estuarine Coastal and Shelf Science.
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.