Ruimin Wang

824 total citations
42 papers, 415 citations indexed

About

Ruimin Wang is a scholar working on Molecular Biology, Spectroscopy and Artificial Intelligence. According to data from OpenAlex, Ruimin Wang has authored 42 papers receiving a total of 415 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 11 papers in Spectroscopy and 6 papers in Artificial Intelligence. Recurrent topics in Ruimin Wang's work include Metabolomics and Mass Spectrometry Studies (16 papers), Advanced Proteomics Techniques and Applications (7 papers) and Mass Spectrometry Techniques and Applications (4 papers). Ruimin Wang is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (16 papers), Advanced Proteomics Techniques and Applications (7 papers) and Mass Spectrometry Techniques and Applications (4 papers). Ruimin Wang collaborates with scholars based in China, Japan and Singapore. Ruimin Wang's co-authors include Ligang Liu, Falai Chen, Zhouwang Yang, Jiansong Deng, Yue Leng, Sheng Ge, Haixian Wang, Pan Lin, Junfeng Gao and Qing Yang and has published in prestigious journals such as Bioinformatics, Scientific Reports and Small.

In The Last Decade

Ruimin Wang

37 papers receiving 409 citations

Peers

Ruimin Wang
Comparison fields: 5 of 93
  • Molecular Biology 140
  • Cognitive Neuroscience 83
  • Computational Mechanics 66
  • Biomedical Engineering 60
  • Computer Vision and Pattern Recognition 51
Saad Nadeem United States
Joachim Thiemann Germany
Ning Lin China
Rafael Sebastián Spain
Y. Fridman United States
Sharmishtaa Seshamani United States
Hui-Ling Huang Taiwan
Steffen Oeltze‐Jafra Germany
Yilong Liu China
Brandon Wang United States
Saad Nadeem United States View profile →
Citations per field, relative to Ruimin Wang
Ruimin Wang · 1×
Citations per year, relative to Ruimin Wang
Ruimin Wang · 1×

Countries citing papers authored by Ruimin Wang

Since Specialization
Citations

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

Fields of papers citing papers by Ruimin Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ruimin Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Ruimin Wang. A scholar is included among the top collaborators of Ruimin 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 Ruimin Wang. Ruimin 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 1
2 13
3 6
4 1
5 13
6 9
7 21
8 0
9 6
10 1
11 10
12 4
13 13
14 28
15 13
16 1
17 8
18
Analyze security of MIC- Michael in TKIP
0
19
New key agreement protocol based on LUC system
1
20 1

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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