Fa Li

949 total citations
34 papers, 525 citations indexed

About

Fa Li is a scholar working on Global and Planetary Change, Ecology and Transportation. According to data from OpenAlex, Fa Li has authored 34 papers receiving a total of 525 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Global and Planetary Change, 9 papers in Ecology and 6 papers in Transportation. Recurrent topics in Fa Li's work include Climate variability and models (9 papers), Atmospheric and Environmental Gas Dynamics (7 papers) and Remote Sensing in Agriculture (6 papers). Fa Li is often cited by papers focused on Climate variability and models (9 papers), Atmospheric and Environmental Gas Dynamics (7 papers) and Remote Sensing in Agriculture (6 papers). Fa Li collaborates with scholars based in United States, China and Canada. Fa Li's 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 and has published in prestigious journals such as Remote Sensing of Environment, New Phytologist and Global Change Biology.

In The Last Decade

Fa Li

31 papers receiving 511 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Fa Li United States 15 244 144 97 64 63 34 525
Matthias Weigand Germany 8 278 1.1× 108 0.8× 103 1.1× 59 0.9× 121 1.9× 19 583
Ying Tu China 16 381 1.6× 151 1.0× 115 1.2× 79 1.2× 133 2.1× 40 791
Kunxiaojia Yuan United States 9 172 0.7× 73 0.5× 75 0.8× 43 0.7× 22 0.3× 18 324
Jianjun Bai China 15 435 1.8× 120 0.8× 112 1.2× 46 0.7× 78 1.2× 54 875
Andreas Rienow Germany 14 400 1.6× 76 0.5× 80 0.8× 72 1.1× 114 1.8× 65 686
Firoozeh Karimi United States 8 337 1.4× 101 0.7× 53 0.5× 26 0.4× 109 1.7× 10 524
Klaus Greve Germany 15 195 0.8× 139 1.0× 47 0.5× 22 0.3× 175 2.8× 35 660

Countries citing papers authored by Fa Li

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Fa Li

This figure shows the co-authorship network connecting the top 25 collaborators of Fa Li. A scholar is included among the top collaborators of Fa 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 Fa Li. Fa Li is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Zhu, Qing, Daniel J. Jacob, Kunxiaojia Yuan, et al.. (2025). Advancements and opportunities to improve bottom–up estimates of global wetland methane emissions. Environmental Research Letters. 20(2). 23001–23001. 2 indexed citations
2.
Li, Zimeng, Songbai Hong, Ziyuan Sun, et al.. (2025). Turning point of direct N2O emissions in China’s croplands dominated by reduced fertilizer usage since 2015. Agriculture Ecosystems & Environment. 388. 109655–109655. 5 indexed citations
3.
Li, Rui, Fa Li, Zhaohui Liu, et al.. (2024). Differences in Urban Development in China from the Perspective of Point of Interest Spatial Co-Occurrence Patterns. ISPRS International Journal of Geo-Information. 13(1). 24–24. 4 indexed citations
4.
Li, Fa, Qing Zhu, Kunxiaojia Yuan, et al.. (2024). Projecting Large Fires in the Western US With an Interpretable and Accurate Hybrid Machine Learning Method. Earth s Future. 12(10). 3 indexed citations
5.
Yuan, Kunxiaojia, Fa Li, Gavin McNicol, et al.. (2024). Boreal–Arctic wetland methane emissions modulated by warming and vegetation activity. Nature Climate Change. 14(3). 282–288. 29 indexed citations
6.
Xiao, Jingfeng, et al.. (2024). Importance of viewing angle: Hotspot effect improves the ability of satellites to track terrestrial photosynthesis. Remote Sensing of Environment. 317. 114492–114492. 1 indexed citations
7.
Li, Fa, Dalei Hao, Alexey Shiklomanov, et al.. (2024). Unveiling the transferability of PLSR models for leaf trait estimation: lessons from a comprehensive analysis with a novel global dataset. New Phytologist. 243(1). 111–131. 17 indexed citations
9.
Zeng, Yelu, Dalei Hao, Taejin Park, et al.. (2023). Structural complexity biases vegetation greenness measures. Nature Ecology & Evolution. 7(11). 1790–1798. 62 indexed citations
10.
Li, Fa, Qing Zhu, W. J. Riley, et al.. (2023). AttentionFire_v1.0: interpretable machine learning fire model for burned-area predictions over tropics. Geoscientific model development. 16(3). 869–884. 24 indexed citations
11.
Yuan, Kunxiaojia, Qing Zhu, W. J. Riley, Fa Li, & Huayi Wu. (2022). Understanding and reducing the uncertainties of land surface energy flux partitioning within CMIP6 land models. Agricultural and Forest Meteorology. 319. 108920–108920. 29 indexed citations
12.
Li, Fa, Dalei Hao, Qing Zhu, et al.. (2022). Vegetation clumping modulates global photosynthesis through adjusting canopy light environment. Global Change Biology. 29(3). 731–746. 25 indexed citations
13.
Li, Fa, Qing Zhu, W. J. Riley, et al.. (2022). Wetter California Projected by CMIP6 Models With Observational Constraints Under a High GHG Emission Scenario. Earth s Future. 10(4). 17 indexed citations
14.
Zhu, Qing, Fa Li, W. J. Riley, et al.. (2022). Building a machine learning surrogate model for wildfire activities within a global Earth system model. Geoscientific model development. 15(5). 1899–1911. 23 indexed citations
16.
Luo, Huan, et al.. (2022). Family-supportive supervisor behaviors and career sustainability of e-commerce female workers: A mixed-method approach. Frontiers in Psychology. 13. 992458–992458. 13 indexed citations
17.
Li, Xuecao, Ghassem Asrar, Yuyu Zhou, et al.. (2022). Detection and attribution of long-term and fine-scale changes in spring phenology over urban areas: A case study in New York State. International Journal of Applied Earth Observation and Geoinformation. 110. 102815–102815. 17 indexed citations
18.
Yuan, Kunxiaojia, Qing Zhu, Lei Zhao, et al.. (2021). Deforestation reshapes land-surface energy-flux partitioning. Environmental Research Letters. 16(2). 24014–24014. 31 indexed citations
19.
Zhu, Qing, Fa Li, W. J. Riley, et al.. (2021). Building a machine learning surrogate model for wildfire activities within a global earth system model. 3 indexed citations
20.
Yuan, Kunxiaojia, et al.. (2019). A quad-tree-based fast and adaptive Kernel Density Estimation algorithm for heat-map generation. International Journal of Geographical Information Systems. 33(12). 2455–2476. 40 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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