Fa Liu

4.0k citations
131 papers · 3.2k · 2 hit papers · h-index 33

Impact in

Papers in

Fa Liu

125 papers receiving 3.1k citations

Fa Liu's Hit Papers

Impact of AI-agent-supported collaborative learning on the learning outcomes of University programming courses 2025 · 26 citations
260+1+2Years since publication50100150

Peers

Fa Liu
Comparison fields: 5 of 104
  • Soil Science 277
  • Cell Biology 184
  • Molecular Biology 604
  • Virology 36
  • Global and Planetary Change 133
Replace Dan Xiao with:
Dan Xiao China
Mengmeng Wang China
Qin Qin China
Wenjuan Wang China
Shimei Wang China
Shuren Wang China
Yannan Zhang China
Lionel Xavier Dupuy United Kingdom
Jianping Yan China
Xia Tang China
Fa Liu relative to Dan Xiao China Dan Xiao's profile →
Citations per field
00.5×5×10.8×
Dan Xiao · 1×
Citations per year

Countries citing papers authored by Fa Liu

Since Specialization
Citations

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

Fields of papers citing papers by Fa Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Fa Liu, 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 Liu Line = papers co-authored together Fa Liu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 131 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016168
2 2009165
3
Unintended consequences of combating desertification in China
Hit paper breakdown →
2023156
4 2018151
5 2015104
6 2011103
7 201691
8 202378
9 201474
10 201574
11 201870
12 202269
13 201265
14 201763
15 201059
16 201555
17 200854
18 201654
19 201553
20 201753

About Fa Liu

Fa Liu is a scholar working on Molecular Biology, Global and Planetary Change, Soil Science, Mechanical Engineering and Earth-Surface Processes, having authored 131 papers that have together received 3.2k indexed citations. Recurring topics across this work include Chemical Synthesis and Analysis (39 papers), Fiber-reinforced polymer composites (6 papers), Soil erosion and sediment transport (5 papers), Hydrology and Drought Analysis (5 papers), Wind Energy Research and Development (4 papers), Aeolian processes and effects (3 papers), Geotechnical Engineering and Soil Stabilization (3 papers) and Cognitive Radio Networks and Spectrum Sensing (3 papers). The work is most often cited by research in Soil Science (277 citations), Cell Biology (184 citations), Molecular Biology (604 citations), Virology (36 citations) and Global and Planetary Change (133 citations). Fa Liu has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Guanghui Zhang, Terrence R. Burke, Fubao Sun, Xunming Wang, Long Sun, John P. Mayer, Hao Wang, Richard D. DiMarchi, Jianjun Jiang and Chao Deng. Their work appears in journals such as Organic Letters, The Journal of Organic Chemistry, ChemBioChem, Bioorganic & Medicinal Chemistry Letters and Applied Energy.

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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