Feng Song

98 total papers · 1.1k total citations
68 papers, 934 citations indexed

About

Feng Song is a scholar working on Biomedical Engineering, Materials Chemistry and Electrical and Electronic Engineering. According to data from OpenAlex, Feng Song has authored 68 papers receiving a total of 934 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Biomedical Engineering, 22 papers in Materials Chemistry and 16 papers in Electrical and Electronic Engineering. Recurrent topics in Feng Song's work include Catalysis for Biomass Conversion (18 papers), Biofuel production and bioconversion (8 papers) and Supercapacitor Materials and Fabrication (7 papers). Feng Song is often cited by papers focused on Catalysis for Biomass Conversion (18 papers), Biofuel production and bioconversion (8 papers) and Supercapacitor Materials and Fabrication (7 papers). Feng Song collaborates with scholars based in China, United States and Australia. Feng Song's co-authors include Hongyou Cui, Duane H. Smith, Sridhar Narasimhan, Xiuyu Sun, Pingping Zhao, Weiming Yi, Zewen Liu, Yuan Zhang, Yong Wang and Yujiao Xie and has published in prestigious journals such as Chemical Communications, Journal of Cleaner Production and Chemical Engineering Journal.

In The Last Decade

Feng Song

60 papers receiving 907 citations

Author Peers

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

Author						Papers	Cites
Feng Song	347	265	153	130	115	68	934
Zhongning Zhang	125 0.4×	127 0.5×	63 0.4×	414 3.2×	111 1.0×	62	1.1k
Yue You	221 0.6×	299 1.1×	58 0.4×	22 0.2×	76 0.7×	51	1.0k
Xuewen Zhang	102 0.3×	124 0.5×	42 0.3×	79 0.6×	82 0.7×	56	835
Shiyi Wang	139 0.4×	364 1.4×	118 0.8×	31 0.2×	88 0.8×	63	1.2k
Ruiting Li	231 0.7×	274 1.0×	92 0.6×	40 0.3×	120 1.0×	58	997
Zhiyong Chang	391 1.1×	157 0.6×	87 0.6×	75 0.6×	73 0.6×	104	1.1k
Hiroyuki Wada	427 1.2×	537 2.0×	57 0.4×	51 0.4×	93 0.8×	125	1.2k
Hao Wu	167 0.5×	235 0.9×	282 1.8×	48 0.4×	76 0.7×	58	960
Mengying Zhao	194 0.6×	220 0.8×	40 0.3×	20 0.2×	120 1.0×	42	996
Wenjing Wang	119 0.3×	381 1.4×	99 0.6×	51 0.4×	44 0.4×	84	1.1k

Countries citing papers authored by Feng Song

Since Specialization

Citations

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

Fields of papers citing papers by Feng Song

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Feng Song

This figure shows the co-authorship network connecting the top 25 collaborators of Feng Song. A scholar is included among the top collaborators of Feng Song 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 Feng Song. Feng Song 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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