Ming‐Shi Wang

1.1k citations
70 papers · 848 indexed · h-index 15
Topics
EEG and Brain-Computer Interfaces (11 papers)Advanced Steganography and Watermarking Techniques (7 papers)Heavy metals in environment (5 papers)
Partner nations
ChinaTaiwanUnited States

In The Last Decade

Ming‐Shi Wang

64 papers receiving 798 citations

Peers

Ming‐Shi Wang
Comparison fields: 5 of 124
  • Computer Vision and Pattern Recognition 255
  • Pollution 191
  • Health, Toxicology and Mutagenesis 136
  • Artificial Intelligence 103
  • Radiological and Ultrasound Technology 94
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Citations per field
00.5×3.2×
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Citations per year

Countries citing papers authored by Ming‐Shi Wang

Since Specialization
Citations

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

Fields of papers citing papers by Ming‐Shi Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ming‐Shi Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Ming‐Shi Wang. A scholar is included among the top collaborators of Ming‐Shi 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 Ming‐Shi Wang. Ming‐Shi 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
#WorkIndexed citations
1 0
2 1
3 0
4 1
5 12
6 3
7
System Design for Analyzing Magnetic Field of Transcranial Magnetic Stimulation
1
8
Multiscale entropy analysis of EEG signal
5
9
Research on Sleep EEG Time-Series Using Nonlinear Sample Entropy
2
10
Multifractal Detrended Fluctuation Analysis of Sleep EEG Signal
1
11
Classification of Motor Imagery Based on Sample Entropy
2
12 4
13
Design of intelligent rehabilitation system based on Brain-Computer Interface
4
14
DCT-domain copyright protection scheme based on secret sharing technique
2
15 16
16
Characteristics of Event Related Potential in Cognition Course of Individual Chinese Characters
1
17
FINITE-ELEMENT SIMULATION FOR MAGNETIC FIELDS CREATED BY MULTI-CHANNEL BRAIN MAGNETIC STIMULATOR
1
18 17
19
Distribution of arsenic in southwest coals
5
20 0

About Ming‐Shi Wang

Ming‐Shi Wang is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience and Geochemistry and Petrology, having authored 70 papers that have together received 848 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (11 papers), Advanced Steganography and Watermarking Techniques (7 papers) and Heavy metals in environment (5 papers). The work is most often cited by research in Radiological and Ultrasound Technology (94 citations), Pollution (191 citations) and Computer Vision and Pattern Recognition (255 citations). Ming‐Shi Wang has collaborated with scholars based in China, Taiwan and United States. Frequent co-authors include Liu Yan-ping, Yang Liu, Qiao Han, Yueh‐Min Huang, Xuejiao Huang, Peng Zhou, Guizhi Xu, Weili Yan, Shuo Yang and Qiang Zhu. Their work appears in journals such as Annals of the New York Academy of Sciences, Expert Systems with Applications and Frontiers in Microbiology.

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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