Fei Feng

33 total papers · 762 total citations
22 papers, 529 citations indexed

About

Fei Feng is a scholar working on Global and Planetary Change, Artificial Intelligence and Ecology. According to data from OpenAlex, Fei Feng has authored 22 papers receiving a total of 529 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Global and Planetary Change, 7 papers in Artificial Intelligence and 5 papers in Ecology. Recurrent topics in Fei Feng's work include Solar Radiation and Photovoltaics (7 papers), Climate variability and models (6 papers) and Atmospheric aerosols and clouds (6 papers). Fei Feng is often cited by papers focused on Solar Radiation and Photovoltaics (7 papers), Climate variability and models (6 papers) and Atmospheric aerosols and clouds (6 papers). Fei Feng collaborates with scholars based in China, Italy and United States. Fei Feng's co-authors include Kaicun Wang, Yanyi He, Yunjun Yao, Jiquan Chen, Shunlin Liang, Xianglan Li, Kun Jia, Joshua B. Fisher, Nannan Zhang and Jie Cheng and has published in prestigious journals such as PLoS ONE, The Science of The Total Environment and Journal of Climate.

In The Last Decade

Fei Feng

18 papers receiving 517 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Fei Feng	440	170	135	107	73	22	529
A. Gratzki	381 0.9×	248 1.5×	87 0.6×	187 1.7×	55 0.8×	14	536
Adéline Bichet	391 0.9×	303 1.8×	75 0.6×	45 0.4×	54 0.7×	14	576
K. G. Hubbard	328 0.7×	208 1.2×	81 0.6×	45 0.4×	152 2.1×	13	509
Stelios Pashiardis	242 0.6×	163 1.0×	97 0.7×	124 1.2×	94 1.3×	24	534
Wilmar L. Cerón	389 0.9×	261 1.5×	105 0.8×	26 0.2×	92 1.3×	49	541
Zhigao Zhou	332 0.8×	167 1.0×	58 0.4×	76 0.7×	103 1.4×	16	465
Facundo Carmona	251 0.6×	113 0.7×	114 0.8×	70 0.7×	177 2.4×	34	471
Catherine Meurey	392 0.9×	270 1.6×	75 0.6×	69 0.6×	238 3.3×	16	568
Emmanuel Chilekwu Okogbue	303 0.7×	162 1.0×	32 0.2×	109 1.0×	120 1.6×	37	521
Marcos Antônio Lima Moura	235 0.5×	317 1.9×	36 0.3×	56 0.5×	65 0.9×	43	533

Countries citing papers authored by Fei Feng

Since Specialization

Citations

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

Fields of papers citing papers by Fei Feng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fei Feng

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

All Works

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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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