Yuanmei Wang

1.0k total citations
95 papers, 733 citations indexed

About

Yuanmei Wang is a scholar working on Molecular Biology, Statistical and Nonlinear Physics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Yuanmei Wang has authored 95 papers receiving a total of 733 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 16 papers in Statistical and Nonlinear Physics and 15 papers in Computer Vision and Pattern Recognition. Recurrent topics in Yuanmei Wang's work include Opinion Dynamics and Social Influence (12 papers), Medical Imaging Techniques and Applications (11 papers) and Complex Network Analysis Techniques (11 papers). Yuanmei Wang is often cited by papers focused on Opinion Dynamics and Social Influence (12 papers), Medical Imaging Techniques and Applications (11 papers) and Complex Network Analysis Techniques (11 papers). Yuanmei Wang collaborates with scholars based in China, Hong Kong and Nigeria. Yuanmei Wang's co-authors include Tao Li, Zhi‐Hong Guan, Jilan Chen, Aixin Ni, Hong‐Feng Gu, Yanyan Sun, Jingwei Yuan, Xiongding Liu, Yunlei Li and Chen Wan and has published in prestigious journals such as Journal of Applied Physics, Inorganic Chemistry and IEEE Access.

In The Last Decade

Yuanmei Wang

81 papers receiving 717 citations

Peers

Yuanmei Wang
Comparison fields: 5 of 129
  • Statistical and Nonlinear Physics 145
  • Molecular Biology 132
  • Public Health, Environmental and Occupational Health 107
  • Genetics 106
  • Animal Science and Zoology 99
Replace Yangfan Wang with:
Yangfan Wang China
Anuj Kumar Sharma India
Isobel Claire Gormley Ireland
Panagiota I. Kontou Greece
Tim Maiwald Germany
Dietrich Flockerzi Germany
Yunxiang Zhao China
Yujiang Liu China
Benjamin A. Miller United States
Yangfan Wang China View profile →
Citations per field, relative to Yuanmei Wang
Yuanmei Wang · 1×
Citations per year, relative to Yuanmei Wang
Yuanmei Wang · 1×

Countries citing papers authored by Yuanmei Wang

Since Specialization
Citations

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

Fields of papers citing papers by Yuanmei Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuanmei Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Yuanmei Wang. A scholar is included among the top collaborators of Yuanmei 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 Yuanmei Wang. Yuanmei Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 3
2 1
3 8
4 18
5 5
6 3
7 0
8 6
9 13
10 12
11 13
12 3
13 2
14 13
15 14
16 2
17 17
18
環境からの情報を用いた量子過程識別【Powered by NICT】
0
19
Local 3D Non-Rigid Motion Estimation from Monocular Image Sequence Based on Regularization
0
20
3-D flame temperature field reconstruction with multiobjective neural network
3

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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