Funing Li
Impact in
- Biophysics top 5%
- Advanced Fluorescence Microscopy Techniques
- Atmospheric Science top 10%
- Tropical and Extratropical Cyclones Research
- Meteorological Phenomena and Simulations
Papers in
-
- Meteorological Phenomena and Simulations 8
- Tropical and Extratropical Cyclones Research 6
-
- Climate variability and models 7
- Plant Water Relations and Carbon Dynamics 2
- Co-authors
- Jinbao Song (4 shared papers)Daniel R. Chavas (6 shared papers)Hailun He (3 shared papers)Jiulin Du (5 shared papers)Daniel T. Dawson (2 shared papers)Kevin A. Reed (2 shared papers)Tianlei Zhang (1 shared paper)Zhenkun Zhang (1 shared paper)
- Journals
- Journal of Climate (2 papers)Geophysical Research Letters (2 papers)Nature Biotechnology (1 paper)npj Climate and Atmospheric Science (1 paper)Tellus A Dynamic Meteorology and Oceanography (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Funing Li
15 papers receiving 324 citations
Peers
Comparison fields: 5 of 65
- Biophysics 63
- Atmospheric Science 170
- Oceanography 86
- Earth-Surface Processes 35
- Global and Planetary Change 95
Countries citing papers authored by Funing Li
This map shows the geographic impact of Funing 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 Funing Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Funing Li more than expected).
Fields of papers citing papers by Funing Li
This network shows the impact of papers produced by Funing 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 Funing Li. The network helps show where Funing Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Funing 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 | 2020 | 110 | |
| 2 | 2017 | 50 | |
| 3 | 2020 | 49 | |
| 4 | 2019 | 25 | |
| 5 | 2018 | 23 | |
| 6 | 2018 | 16 | |
| 7 | 2016 | 13 | |
| 8 | 2022 | 9 | |
| 9 | 2019 | 8 | |
| 10 | 2021 | 8 | |
| 11 | 2023 | 7 | |
| 12 | 2020 | 5 | |
| 13 | 2024 | 4 | |
| 14 | 2024 | 2 | |
| 15 | 2025 | 1 | |
| 16 | 2025 | 1 |
About Funing Li
Funing Li is a scholar working on Atmospheric Science, Global and Planetary Change, Cellular and Molecular Neuroscience, Oceanography and Cognitive Neuroscience, having authored 16 papers that have together received 331 indexed citations. Recurring topics across this work include Meteorological Phenomena and Simulations (8 papers), Climate variability and models (7 papers), Tropical and Extratropical Cyclones Research (6 papers), Plant Water Relations and Carbon Dynamics (2 papers), Ocean Waves and Remote Sensing (2 papers), Photoreceptor and optogenetics research (2 papers), Zebrafish Biomedical Research Applications (2 papers) and Advanced Fluorescence Microscopy Techniques (2 papers). The work is most often cited by research in Biophysics (63 citations), Atmospheric Science (170 citations), Oceanography (86 citations), Earth-Surface Processes (35 citations) and Global and Planetary Change (95 citations). Funing Li has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Jinbao Song, Daniel R. Chavas, Hailun He, Jiulin Du, Daniel T. Dawson, Kevin A. Reed, Tianlei Zhang, Zhenkun Zhang, Peng Yu and Lu Bai. Their work appears in journals such as Journal of Climate, Geophysical Research Letters, Nature Biotechnology, npj Climate and Atmospheric Science and Tellus A Dynamic Meteorology and Oceanography.
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.