Fa Li

1.0k citations
35 papers · 590 · h-index 15

Impact in

    • Plant Water Relations and Carbon Dynamics
    • Climate variability and models
    • Fire effects on ecosystems
    • Atmospheric and Environmental Gas Dynamics
    • 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

32 papers receiving 580 citations

Peers

Fa Li
Comparison fields: 5 of 100
  • Global and Planetary Change 258
  • Transportation 65
  • Ecology 161
  • Atmospheric Science 102
  • Environmental Engineering 67
Replace Ying Tu with:
Ying Tu China
Dongyang Hou China
Jianjun Bai China
Tong Nie China
Martin Sudmanns Austria
Kunxiaojia Yuan United States
Wen Lin United Kingdom
Pan Wu China
Jiqiang Niu China
Nicholus Mboga Belgium
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 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202081
2 202374
3 201942
4 202437
5 202132
6 202132
7 202230
8 202428
9 202226
10 202325
11 202224
12 202221
13 202219
14 202218
15 202015
16 202214
17 20238
18 20227
19 20237
20 20156

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 35 papers that have together received 590 indexed citations. Recurring topics across this work include Climate variability and models (9 papers), Atmospheric and Environmental Gas Dynamics (8 papers), Plant Water Relations and Carbon Dynamics (6 papers), Human Mobility and Location-Based Analysis (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 (258 citations), Transportation (65 citations), Ecology (161 citations), Atmospheric Science (102 citations) and Environmental Engineering (67 citations). Fa Li has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Kunxiaojia Yuan, Huayi Wu, Qing Zhu, Zhipeng Gui, W. J. Riley, Min Chen, Jianya Gong, Yelu Zeng, Lei Zhao and Siyu Tian. Their work appears in journals such as Earth s Future, Agricultural and Forest Meteorology, Neurocomputing, Environmental Research Letters and Geoscientific model development.

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.

Explore authors with similar magnitude of impact