Fang Li

11.6k total citations · 2 hit papers
163 papers, 4.3k citations indexed

About

Fang Li is a scholar working on Global and Planetary Change, Atmospheric Science and Ecology. According to data from OpenAlex, Fang Li has authored 163 papers receiving a total of 4.3k indexed citations (citations by other indexed papers that have themselves been cited), including 84 papers in Global and Planetary Change, 67 papers in Atmospheric Science and 20 papers in Ecology. Recurrent topics in Fang Li's work include Atmospheric chemistry and aerosols (41 papers), Fire effects on ecosystems (37 papers) and Atmospheric and Environmental Gas Dynamics (26 papers). Fang Li is often cited by papers focused on Atmospheric chemistry and aerosols (41 papers), Fire effects on ecosystems (37 papers) and Atmospheric and Environmental Gas Dynamics (26 papers). Fang Li collaborates with scholars based in China, United States and United Kingdom. Fang Li's co-authors include Samuel Levis, Stijn Hantson, Chao Yue, Matthew Forrest, Gitta Lasslop, Xiaodong Zeng, David M. Lawrence, Stéphane Mangeon, Silvia Kloster and Joe R. Melton and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and SHILAP Revista de lepidopterología.

In The Last Decade

Fang Li

154 papers receiving 4.2k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A human-driven decline in global burned area

2017 760 citations Niels Andela, Douglas C. Morton et al. Science profile →
Historic global biomass burning emissions for CMIP6 (BB4CMIP) based on merging satellite observations with proxies and fire models (1750–2015)

2017 357 citations Margreet van Marle, Silvia Kloster et al. Geoscientific model development profile →

Peers

Fang Li

GPC

ECOLO

HTM

Ninglian Wang China

Xi Chen China

Ping Wang China

Zhiqiang Zhang China

Zhaoli Wang China

Rui Li China

Liu China

Yukiko Hirabayashi Japan

Qiusheng Wu United States

Wang China

Ninglian Wang China

Fang Li

1.7k ×0.6

GPC

3.3k ×1.9

759 ×1.1

ECOLO

386 ×0.8

HTM

295 ×0.8

Citations per year, relative to Fang Li Fang Li (= 1×) peers Ninglian Wang

Countries citing papers authored by Fang Li

Since Specialization

Citations

This map shows the geographic impact of Fang 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 Fang Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fang Li more than expected).

Fields of papers citing papers by Fang Li

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fang 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 Fang Li. The network helps show where Fang Li may publish in the future.

Co-authorship network of co-authors of Fang Li

This figure shows the co-authorship network connecting the top 25 collaborators of Fang Li. A scholar is included among the top collaborators of Fang Li based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Fang Li. Fang Li is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Xiang, Rong, Xiang Su, Jianguo Liu, et al.. (2025). Provenance and environmental changes recorded in Holocene sediments from the Southern Yellow Sea, China. Palaeogeography Palaeoclimatology Palaeoecology. 667. 112861–112861.

Li, Fang, Xiang Song, Sandy P. Harrison, et al.. (2024). Evaluation of global fire simulations in CMIP6 Earth system models. Geoscientific model development. 17(23). 8751–8771. 6 indexed citations

Jin, Jianbing, Arjo Segers, Wei Han, et al.. (2024). Valid time shifting ensemble Kalman filter (VTS-EnKF) for dust storm forecasting. Geoscientific model development. 17(22). 8223–8242. 1 indexed citations

Park, Chae Yeon, Kiyoshi Takahashi, Shinichiro Fujimori, et al.. (2024). Attributing human mortality from fire PM2.5 to climate change. Nature Climate Change. 14(11). 1193–1200. 13 indexed citations

Li, Fang, et al.. (2024). Monitoring Grassland Variation in a Typical Area of the Qinghai Lake Basin Using 30 m Annual Maximum NDVI Data. Remote Sensing. 16(7). 1222–1222. 4 indexed citations

Wei, Zhongwang, Yonggen Zhang, Xingjie Lu, et al.. (2024). Assessing Climate Change Impacts on Crop Yields and Exploring Adaptation Strategies in Northeast China. Earth s Future. 12(4). 25 indexed citations

Jin, Jianbing, et al.. (2023). Dust storm forecasting through coupling LOTOS-EUROS with localized ensemble Kalman filter. Atmospheric Environment. 306. 119831–119831. 1 indexed citations

Park, Chae Yeon, Kiyoshi Takahashi, Fang Li, et al.. (2023). Impact of climate and socioeconomic changes on fire carbon emissions in the future: Sustainable economic development might decrease future emissions. Global Environmental Change. 80. 102667–102667. 20 indexed citations

Pellegrini, Adam F. A., Peter B. Reich, Sarah E. Hobbie, et al.. (2023). Soil carbon storage capacity of drylands under altered fire regimes. Nature Climate Change. 13(10). 1089–1094. 18 indexed citations

10.

Jin, Jianbing, Arjo Segers, Wei Han, et al.. (2022). Inverse modeling of the 2021 spring super dust storms in East Asia. Atmospheric chemistry and physics. 22(10). 6393–6410. 34 indexed citations

11.

Xie, Yanqing, Zhengqiang Li, Jie Guang, et al.. (2021). Aerosol Optical Depth Retrieval Over South Asia Using FY-4A/AGRI Data. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–14. 15 indexed citations

12.

Song, Xiang, Fang Li, Sandy P. Harrison, et al.. (2020). Vegetation biomass change in China in the 20th century: an assessment based on a combination of multi-model simulations and field observations. Environmental Research Letters. 15(9). 94026–94026. 7 indexed citations

13.

Lasslop, Gitta, Stijn Hantson, Sandy P. Harrison, et al.. (2020). Global ecosystems and fire: Multi‐model assessment of fire‐induced tree‐cover and carbon storage reduction. Global Change Biology. 26(9). 5027–5041. 70 indexed citations

14.

Teckentrup, Lina, Sandy P. Harrison, Stijn Hantson, et al.. (2019). Sensitivity of simulated historical burned area to environmental andanthropogenic controls: A comparison of seven fire models. 5 indexed citations

15.

Teckentrup, Lina, Sandy P. Harrison, Stijn Hantson, et al.. (2019). Response of simulated burned area to historical changes in environmental and anthropogenic factors: a comparison of seven fire models. Biogeosciences. 16(19). 3883–3910. 50 indexed citations

16.

Forkel, Matthias, Niels Andela, Sandy P. Harrison, et al.. (2018). Emergent relationships on burned area in global satellite observations and fire-enabled vegetation models. Biogeosciences (European Geosciences Union). 5 indexed citations

17.

Andela, Niels, Douglas C. Morton, Louis Giglio, et al.. (2017). A human-driven decline in global burned area. Science. 356(6345). 1356–1362. 760 indexed citations breakdown →

18.

Marle, Margreet van, Silvia Kloster, Brian I. Magi, et al.. (2017). Historic global biomass burning emissions based on merging satelliteobservations with proxies and fire models (1750–2015). VU Research Portal. 26 indexed citations

19.

Marle, Margreet van, Silvia Kloster, Brian I. Magi, et al.. (2017). Historic global biomass burning emissions for CMIP6 (BB4CMIP) based on merging satellite observations with proxies and fire models (1750–2015). Geoscientific model development. 10(9). 3329–3357. 357 indexed citations breakdown →

20.

Li, Fang & Wenzhi Zhao. (2016). Changes in normalized difference vegetation index of deserts and dunes with precipitation in the middle Heihe River Basin. Chinese Journal of Plant Ecology. 40(12). 1245–1256. 3 indexed citations

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.

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