Mao Wang

2.8k citations
76 papers · 1.3k · h-index 18

Impact in

Papers in

Mao Wang

68 papers receiving 1.3k citations

Peers

Mao Wang
Comparison fields: 5 of 102
  • Statistical and Nonlinear Physics 427
  • Computer Networks and Communications 354
  • Nuclear and High Energy Physics 179
  • Polymers and Plastics 119
  • Biomedical Engineering 330
Replace Doyeon Kim with:
Doyeon Kim South Korea
Masayoshi Inoue Japan
Benzhuo Lu China
Zhiyuan Li China
Johan L. A. Dubbeldam Netherlands
K. Yamafuji Japan
S. Wolf Germany
Stephen Lynch United Kingdom
Jan Kierfeld Germany
C. T. Law United States
Mao Wang relative to Doyeon Kim South Korea Doyeon Kim's profile →
Citations per field
00.5×7.1×
Doyeon Kim · 1×
Citations per year

Countries citing papers authored by Mao Wang

Since Specialization
Citations

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

Fields of papers citing papers by Mao Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mao Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mao Wang Line = papers co-authored together Mao Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 76 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003294
2 2015126
3 201897
4 201369
5 201763
6 201357
7 202255
8 201135
9 201134
10 201233
11 200532
12 202231
13 200431
14 201330
15 202030
16 200624
17 201124
18 202223
19 202015
20 200714

About Mao Wang

Mao Wang is a scholar working on Nuclear and High Energy Physics, Biomedical Engineering, Aerospace Engineering, Electrical and Electronic Engineering and Statistical and Nonlinear Physics, having authored 76 papers that have together received 1.3k indexed citations. Recurring topics across this work include Magnetic confinement fusion research (37 papers), Particle accelerators and beam dynamics (25 papers), Superconducting Materials and Applications (20 papers), Chaos control and synchronization (11 papers), Ionosphere and magnetosphere dynamics (8 papers), Plasma Diagnostics and Applications (7 papers), Fusion materials and technologies (7 papers) and Organic Electronics and Photovoltaics (5 papers). The work is most often cited by research in Statistical and Nonlinear Physics (427 citations), Computer Networks and Communications (354 citations), Nuclear and High Energy Physics (179 citations), Polymers and Plastics (119 citations) and Biomedical Engineering (330 citations). Mao Wang has collaborated with scholars based in China, United States and France. Frequent co-authors include Lilian Huang, Yejun Zhang, Chunyan Li, Qiangbin Wang, Hongxiang Li, Xike Gao, Guangcun Chen, Dehua Huang, Qinghe Wu and Dongmin Wu. Their work appears in journals such as Physics Letters A, Nuclear Fusion, Physics of Plasmas, Review of Scientific Instruments and Advanced Functional Materials.

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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