Fan Yang

211 total papers · 1.8k total citations
143 papers, 1.3k citations indexed

About

Fan Yang is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Materials Chemistry. According to data from OpenAlex, Fan Yang has authored 143 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 80 papers in Electrical and Electronic Engineering, 51 papers in Control and Systems Engineering and 46 papers in Materials Chemistry. Recurrent topics in Fan Yang's work include High voltage insulation and dielectric phenomena (44 papers), Thermal Analysis in Power Transmission (31 papers) and Aerosol Filtration and Electrostatic Precipitation (18 papers). Fan Yang is often cited by papers focused on High voltage insulation and dielectric phenomena (44 papers), Thermal Analysis in Power Transmission (31 papers) and Aerosol Filtration and Electrostatic Precipitation (18 papers). Fan Yang collaborates with scholars based in China, United States and Pakistan. Fan Yang's co-authors include Bing Gao, Irfan Ullah, Yumei Wen, Minyou Chen, Ming Zheng, Leixiang Bian, Boris Rubinsky, Lunchakorn Wuttisittikulkij, Rehan Ullah Khan and Gang Yang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Catalysis B: Environmental and IEEE Transactions on Power Electronics.

In The Last Decade

Fan Yang

127 papers receiving 1.2k citations

Author Peers

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

Author Last Decade Papers Cites
Fan Yang 700 319 301 228 140 143 1.3k
Lijun Zhou 959 1.4× 723 2.3× 301 1.0× 266 1.2× 133 0.9× 152 1.4k
Yu Chen 464 0.7× 332 1.0× 349 1.2× 261 1.1× 91 0.7× 148 1.2k
Chengxiang Li 690 1.0× 381 1.2× 319 1.1× 281 1.2× 90 0.6× 159 1.6k
Edson Guedes da Costa 794 1.1× 577 1.8× 195 0.6× 178 0.8× 42 0.3× 121 1.1k
Yong Liu 826 1.2× 626 2.0× 169 0.6× 133 0.6× 30 0.2× 150 1.6k
M. Lazzaroni 777 1.1× 131 0.4× 293 1.0× 209 0.9× 30 0.2× 128 1.4k
Jiangjun Ruan 1.1k 1.6× 571 1.8× 603 2.0× 293 1.3× 240 1.7× 185 1.6k
Bing Gao 680 1.0× 169 0.5× 104 0.3× 189 0.8× 262 1.9× 79 1.2k
Guido Ala 1.0k 1.5× 375 1.2× 216 0.7× 75 0.3× 53 0.4× 160 1.5k
Yi Wang 587 0.8× 482 1.5× 195 0.6× 184 0.8× 135 1.0× 121 1.7k

Countries citing papers authored by Fan Yang

Since Specialization
Citations

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

Fields of papers citing papers by Fan Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fan Yang

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