Erhui Wang

67 total papers · 591 total citations
42 papers, 358 citations indexed

About

Erhui Wang is a scholar working on Nuclear and High Energy Physics, Biomedical Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Erhui Wang has authored 42 papers receiving a total of 358 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Nuclear and High Energy Physics, 12 papers in Biomedical Engineering and 9 papers in Electrical and Electronic Engineering. Recurrent topics in Erhui Wang's work include Magnetic confinement fusion research (17 papers), Ionosphere and magnetosphere dynamics (6 papers) and Plasma Diagnostics and Applications (5 papers). Erhui Wang is often cited by papers focused on Magnetic confinement fusion research (17 papers), Ionosphere and magnetosphere dynamics (6 papers) and Plasma Diagnostics and Applications (5 papers). Erhui Wang collaborates with scholars based in China, Japan and United States. Erhui Wang's co-authors include S. Morita, M. Goto, Xuelan Zhang, Chang Shu, Zengli Yu, Yongjun Bu, Shibin Ding, Liancun Zheng, Mingyao Luo and Desheng Zhai and has published in prestigious journals such as The Science of The Total Environment, Scientific Reports and Expert Systems with Applications.

In The Last Decade

Erhui Wang

42 papers receiving 349 citations

Author Peers

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

Author Last Decade Papers Cites
Erhui Wang 123 59 53 51 43 42 358
Chikara Ito 71 0.6× 46 0.8× 22 0.4× 37 0.7× 71 1.7× 44 403
M. Schneider 209 1.7× 28 0.5× 76 1.4× 73 1.4× 112 2.6× 38 365
Amina Hussein 105 0.9× 31 0.5× 27 0.5× 12 0.2× 40 0.9× 34 329
Jungpyo Lee 207 1.7× 106 1.8× 66 1.2× 122 2.4× 84 2.0× 38 368
T. J. Kelly 15 0.1× 28 0.5× 61 1.2× 28 0.5× 65 1.5× 28 367
G. Chiodini 239 1.9× 133 2.3× 56 1.1× 83 1.6× 87 2.0× 50 375
M. I. Taktakishvili 26 0.2× 204 3.5× 27 0.5× 13 0.3× 34 0.8× 30 372
Marcel Baril 25 0.2× 38 0.6× 45 0.8× 14 0.3× 16 0.4× 48 340
M.A. Dubois 189 1.5× 30 0.5× 88 1.7× 120 2.4× 90 2.1× 24 391
Tomokazu Kato 62 0.5× 35 0.6× 17 0.3× 39 0.8× 54 1.3× 61 332

Countries citing papers authored by Erhui Wang

Since Specialization
Citations

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

Fields of papers citing papers by Erhui Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Erhui Wang

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