Fa Li
Impact in
- Global and Planetary Change top 10%
- Plant Water Relations and Carbon Dynamics
- Climate variability and models
- Fire effects on ecosystems
- Atmospheric and Environmental Gas Dynamics
- Transportation top 5%
- Human Mobility and Location-Based Analysis
Papers in
-
- Climate variability and models 9
- Atmospheric and Environmental Gas Dynamics 7
- Plant Water Relations and Carbon Dynamics 6
- Fire effects on ecosystems 4
- Ecology 9
- Remote Sensing in Agriculture 6
- Co-authors
- Kunxiaojia Yuan (13 shared papers)Huayi Wu (13 shared papers)Zhipeng Gui (9 shared papers)Qing Zhu (12 shared papers)W. J. Riley (10 shared papers)Min Chen (13 shared papers)Jianya Gong (7 shared papers)Dalei Hao (8 shared papers)
- Journals
- Earth s Future (4 papers)Neurocomputing (2 papers)Geoscientific model development (2 papers)Frontiers in Psychology (2 papers)Remote Sensing of Environment (2 papers)
- Partner nations
- United StatesChinaCanada
In The Last Decade
Fa Li
31 papers receiving 511 citations
Peers
Comparison fields: 5 of 103
- Global and Planetary Change 244
- Transportation 64
- Ecology 144
- Atmospheric Science 97
- Ecological Modeling 20
Countries citing papers authored by Fa Li
This map shows the geographic impact of Fa 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 Fa Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fa Li more than expected).
Fields of papers citing papers by Fa Li
This network shows the impact of papers produced by Fa 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 Fa Li. The network helps show where Fa Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Fa 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 79 | |
| 2 | 2023 | 62 | |
| 3 | 2019 | 40 | |
| 4 | 2021 | 32 | |
| 5 | 2021 | 31 | |
| 6 | 2022 | 29 | |
| 7 | 2024 | 29 | |
| 8 | 2022 | 25 | |
| 9 | 2023 | 24 | |
| 10 | 2022 | 23 | |
| 11 | 2022 | 17 | |
| 12 | 2022 | 17 | |
| 13 | 2024 | 17 | |
| 14 | 2022 | 16 | |
| 15 | 2020 | 14 | |
| 16 | 2022 | 13 | |
| 17 | 2023 | 8 | |
| 18 | 2023 | 6 | |
| 19 | 2022 | 6 | |
| 20 | 2019 | 6 |
About Fa Li
Fa Li is a scholar working on Global and Planetary Change, Ecology, Transportation, Atmospheric Science and Computer Vision and Pattern Recognition, having authored 34 papers that have together received 525 indexed citations. Recurring topics across this work include Climate variability and models (9 papers), Atmospheric and Environmental Gas Dynamics (7 papers), Remote Sensing in Agriculture (6 papers), Human Mobility and Location-Based Analysis (6 papers), Plant Water Relations and Carbon Dynamics (6 papers), Data Management and Algorithms (4 papers), Fire effects on ecosystems (4 papers) and Meteorological Phenomena and Simulations (3 papers). The work is most often cited by research in Global and Planetary Change (244 citations), Transportation (64 citations), Ecology (144 citations), Atmospheric Science (97 citations) and Ecological Modeling (20 citations). Fa Li has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Kunxiaojia Yuan, Huayi Wu, Zhipeng Gui, Qing Zhu, W. J. Riley, Min Chen, Jianya Gong, Dalei Hao, Lei Zhao and Yelu Zeng. Their work appears in journals such as Earth s Future, Neurocomputing, Geoscientific model development, Frontiers in Psychology and Remote Sensing of Environment.
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.