Tao Sheng

64 total papers · 1.1k total citations
47 papers, 858 citations indexed

About

Tao Sheng is a scholar working on Organic Chemistry, Biomedical Engineering and Molecular Biology. According to data from OpenAlex, Tao Sheng has authored 47 papers receiving a total of 858 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Organic Chemistry, 15 papers in Biomedical Engineering and 11 papers in Molecular Biology. Recurrent topics in Tao Sheng's work include Biofuel production and bioconversion (9 papers), Carbon dioxide utilization in catalysis (8 papers) and Anaerobic Digestion and Biogas Production (8 papers). Tao Sheng is often cited by papers focused on Biofuel production and bioconversion (9 papers), Carbon dioxide utilization in catalysis (8 papers) and Anaerobic Digestion and Biogas Production (8 papers). Tao Sheng collaborates with scholars based in China, Australia and France. Tao Sheng's co-authors include Lixin Li, Ning Liu, Fang Ma, Lei Zhao, Aijie Wang, Bin Dai, Zhiwei Song, Lingfang Gao, Wenzong Liu and Zhiwei Song and has published in prestigious journals such as Langmuir, Bioresource Technology and Journal of Cleaner Production.

In The Last Decade

Tao Sheng

45 papers receiving 842 citations

Author Peers

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

Author Last Decade Papers Cites
Tao Sheng 220 188 182 172 131 47 858
Sung Ho Yeom 364 1.7× 99 0.5× 181 1.0× 226 1.3× 106 0.8× 61 1.1k
Renan Tavares Figueiredo 195 0.9× 69 0.4× 150 0.8× 172 1.0× 121 0.9× 40 909
Junhong Tang 270 1.2× 114 0.6× 226 1.2× 129 0.8× 145 1.1× 43 972
Jiaqi Hou 127 0.6× 90 0.5× 69 0.4× 68 0.4× 68 0.5× 84 730
Sonia Khoufi 158 0.7× 303 1.6× 223 1.2× 92 0.5× 157 1.2× 27 973
G. Lyberatos 162 0.7× 197 1.0× 180 1.0× 60 0.3× 103 0.8× 26 1.0k
Hao Wu 231 1.1× 35 0.2× 111 0.6× 147 0.9× 53 0.4× 40 1.0k
Léonardo Marchetti 112 0.5× 276 1.5× 71 0.4× 105 0.6× 43 0.3× 32 933
Yongjing Wang 170 0.8× 68 0.4× 58 0.3× 77 0.4× 154 1.2× 66 907
M. Dinesh Kumar 220 1.0× 60 0.3× 168 0.9× 83 0.5× 189 1.4× 24 817

Countries citing papers authored by Tao Sheng

Since Specialization
Citations

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

Fields of papers citing papers by Tao Sheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tao Sheng

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