Fa Li

1.0k citations
36 papers · 613 · h-index 15

Impact in

    • Plant Water Relations and Carbon Dynamics
    • Climate variability and models
    • Fire effects on ecosystems
    • Atmospheric and Environmental Gas Dynamics
    • Land Use and Ecosystem Services
    • Human Mobility and Location-Based Analysis

Papers in

    • Climate variability and models 9
    • Atmospheric and Environmental Gas Dynamics 8
    • Plant Water Relations and Carbon Dynamics 6
    • Fire effects on ecosystems 4
    • Remote Sensing in Agriculture 6
    • Peatlands and Wetlands Ecology 4

Fa Li

33 papers receiving 603 citations

Peers

Fa Li
Comparison fields: 5 of 101
  • Global and Planetary Change 264
  • Transportation 70
  • Ecology 164
  • Atmospheric Science 103
  • Ecological Modeling 21
Replace Ying Tu with:
Ying Tu China
Yong Tian China
Kunxiaojia Yuan United States
Dongyang Hou China
Jianjun Bai China
Pedro R. Andrade Brazil
Jiqiang Niu China
Yue Lin China
Yiquan Song China
Fa Li relative to Ying Tu China Ying Tu's profile →
Citations per field
00.5×1.5×
Ying Tu · 1×
Citations per year

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-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.

Border = papers with Fa Li Line = papers co-authored together Fa Li links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202082
2 202375
3 201945
4 202438
5 202135
6 202132
7 202430
8 202230
9 202226
10 202326
11 202225
12 202221
13 202219
14 202218
15 202015
16 202214
17 20228
18 20238
19 20208
20 20237

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 36 papers that have together received 613 indexed citations. Recurring topics across this work include Climate variability and models (9 papers), Atmospheric and Environmental Gas Dynamics (8 papers), Human Mobility and Location-Based Analysis (7 papers), Plant Water Relations and Carbon Dynamics (6 papers), Remote Sensing in Agriculture (6 papers), Data Management and Algorithms (4 papers), Fire effects on ecosystems (4 papers) and Peatlands and Wetlands Ecology (4 papers). The work is most often cited by research in Global and Planetary Change (264 citations), Transportation (70 citations), Ecology (164 citations), Atmospheric Science (103 citations) and Ecological Modeling (21 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, Siyu Tian, Yelu Zeng and Lei Zhao. Their work appears in journals such as Earth s Future, Agricultural and Forest Meteorology, Environmental Research Letters, 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.

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