Fangjun Li

1.6k total citations
45 papers, 1.1k citations indexed

About

Fangjun Li is a scholar working on Global and Planetary Change, Atmospheric Science and Civil and Structural Engineering. According to data from OpenAlex, Fangjun Li has authored 45 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Global and Planetary Change, 21 papers in Atmospheric Science and 10 papers in Civil and Structural Engineering. Recurrent topics in Fangjun Li's work include Fire effects on ecosystems (18 papers), Atmospheric chemistry and aerosols (15 papers) and Atmospheric and Environmental Gas Dynamics (13 papers). Fangjun Li is often cited by papers focused on Fire effects on ecosystems (18 papers), Atmospheric chemistry and aerosols (15 papers) and Atmospheric and Environmental Gas Dynamics (13 papers). Fangjun Li collaborates with scholars based in United States, Australia and China. Fangjun Li's co-authors include Liang Cheng, Xiaoyang Zhang, Shobha Kondragunta, Dongfang Liang, Ivan Csiszar, David P. Roy, Zhipeng Zang, Christopher C. Schmidt, Rick Saylor and Mark A. Cochrane and has published in prestigious journals such as The Science of The Total Environment, Remote Sensing of Environment and Geophysical Research Letters.

In The Last Decade

Fangjun Li

40 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fangjun Li United States 18 481 423 339 330 153 45 1.1k
Vicente Medina Spain 19 556 1.2× 380 0.9× 267 0.8× 402 1.2× 84 0.5× 46 1.4k
Qihua Ran China 22 530 1.1× 370 0.9× 205 0.6× 274 0.8× 75 0.5× 68 1.5k
Peter Rutschmann Germany 21 274 0.6× 590 1.4× 68 0.2× 227 0.7× 66 0.4× 95 1.1k
Yang Xiao China 20 288 0.6× 672 1.6× 86 0.3× 342 1.0× 110 0.7× 111 1.3k
Carmelo Juez Spain 21 264 0.5× 650 1.5× 152 0.4× 238 0.7× 254 1.7× 48 1.2k
Faye Hicks Canada 27 306 0.6× 474 1.1× 1.2k 3.4× 493 1.5× 125 0.8× 81 2.2k
Kenji Kawaike Japan 18 635 1.3× 410 1.0× 348 1.0× 395 1.2× 65 0.4× 133 1.2k
Matteo Rubinato United Kingdom 18 566 1.2× 209 0.5× 159 0.5× 227 0.7× 123 0.8× 82 1.1k
Jean Berlamont Belgium 18 458 1.0× 281 0.7× 138 0.4× 324 1.0× 162 1.1× 139 1.3k
Yongming Shen China 23 155 0.3× 483 1.1× 290 0.9× 94 0.3× 472 3.1× 96 1.4k

Countries citing papers authored by Fangjun Li

Since Specialization
Citations

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

Fields of papers citing papers by Fangjun Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fangjun Li

This figure shows the co-authorship network connecting the top 25 collaborators of Fangjun Li. A scholar is included among the top collaborators of Fangjun 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 Fangjun Li. Fangjun 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.
Li, Fangjun, et al.. (2025). Learning from Human Conversations: A Seq2Seq based Multi-modal Robot Facial Expression Reaction Framework in HRI. Research Explorer (The University of Manchester). 7261–7268.
2.
Saide, Pablo E., Jacob Bortnik, Arlindo da Silva, et al.. (2024). Forecasting Daily Fire Radiative Energy Using Data Driven Methods and Machine Learning Techniques. Journal of Geophysical Research Atmospheres. 129(16). 5 indexed citations
3.
An, Shuai, et al.. (2024). Retrieval of grassland aboveground biomass across three ecoregions in China during the past two decades using satellite remote sensing technology and machine learning algorithms. International Journal of Applied Earth Observation and Geoinformation. 130. 103925–103925. 10 indexed citations
4.
Li, Yunyao, Daniel Tong, Siqi Ma, et al.. (2023). Impacts of estimated plume rise on PM 2.5 exceedance prediction during extreme wildfire events: a comparison of three schemes (Briggs, Freitas, and Sofiev). Atmospheric chemistry and physics. 23(5). 3083–3101. 17 indexed citations
5.
Zhang, Xiaoyang, et al.. (2021). Detection of Fire Smoke Plumes Based on Aerosol Scattering Using VIIRS Data over Global Fire-Prone Regions. Remote Sensing. 13(2). 196–196. 20 indexed citations
6.
Li, Yunyao, Daniel Tong, Siqi Ma, et al.. (2021). Dominance of Wildfires Impact on Air Quality Exceedances During the 2020 Record‐Breaking Wildfire Season in the United States. Geophysical Research Letters. 48(21). 54 indexed citations
7.
Zhang, Xiaoyang, Fangjun Li, Lun Gao, et al.. (2021). Drainage canal impacts on smoke aerosol emissions for Indonesian peatland and non-peatland fires. Environmental Research Letters. 16(9). 95008–95008. 11 indexed citations
8.
Li, Fangjun, Xiaoyang Zhang, & Shobha Kondragunta. (2021). Highly anomalous fire emissions from the 2019–2020 Australian bushfires. Environmental Research Communications. 3(10). 105005–105005. 20 indexed citations
9.
Li, Fangjun, Xiaoyang Zhang, & Shobha Kondragunta. (2020). Biomass Burning in Africa: An Investigation of Fire Radiative Power Missed by MODIS Using the 375 m VIIRS Active Fire Product. Remote Sensing. 12(10). 1561–1561. 28 indexed citations
10.
11.
Corona‐Núñez, Rogelio O., Fangjun Li, & Julio Campo. (2020). Fires Represent an Important Source of Carbon Emissions in Mexico. Global Biogeochemical Cycles. 34(12). 14 indexed citations
12.
Li, Fangjun, Xiaoyang Zhang, David P. Roy, & Shobha Kondragunta. (2019). Estimation of biomass-burning emissions by fusing the fire radiative power retrievals from polar-orbiting and geostationary satellites across the conterminous United States. Atmospheric Environment. 211. 274–287. 68 indexed citations
13.
Zhang, Xiaoyang, et al.. (2019). Investigating Smoke Aerosol Emission Coefficients Using MODIS Active Fire and Aerosol Products: A Case Study in the CONUS and Indonesia. Journal of Geophysical Research Biogeosciences. 124(6). 1413–1429. 15 indexed citations
14.
Li, Fangjun, Xiaoyang Zhang, Shobha Kondragunta, & Ivan Csiszar. (2018). Comparison of Fire Radiative Power Estimates From VIIRS and MODIS Observations. Journal of Geophysical Research Atmospheres. 123(9). 4545–4563. 86 indexed citations
15.
Li, Fangjun, Xiaoyang Zhang, Shobha Kondragunta, & David P. Roy. (2018). Investigation of the Fire Radiative Energy Biomass Combustion Coefficient: A Comparison of Polar and Geostationary Satellite Retrievals Over the Conterminous United States. Journal of Geophysical Research Biogeosciences. 123(2). 722–739. 31 indexed citations
16.
Li, Fangjun. (2010). Study on the integrated treatment of organic silicon waste water.
17.
Li, Fangjun, et al.. (2009). Perth offshore wave climate, directional and non- directional analysis, 1994 - 2008. 402. 2 indexed citations
18.
Li, Fangjun. (2007). Design of Pier Top Arrangement for Erection of Steel Truss Arch and Girder of Wanzhou Changjiang River Bridge. Qiaoliang jianshe. 1 indexed citations
19.
Li, Fangjun, et al.. (2005). Long-term Coastal Sedimentation Model. 281. 1 indexed citations
20.
Li, Fangjun & Liang Cheng. (1998). Numerical Simulation of Local Scour Under Pipelines. UWA Profiles and Research Repository (University of Western Australia). 2. 76–81. 1 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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