Ming‐Shing Young

33 papers receiving 323 citations

Peers

Ming‐Shing Young
Comparison fields: 5 of 106
  • Cognitive Neuroscience 60
  • Orthopedics and Sports Medicine 25
  • Complementary and alternative medicine 20
  • Neurology 36
  • Physical Therapy, Sports Therapy and Rehabilitation 10
Replace Ömer Halil Çolak with:
Ömer Halil Çolak Türkiye
J. M. Adams United States
Humberto Remigio Gamba Brazil
Carlos Júlio Tierra-Criollo Brazil
Lin Meng China
Chi Woong Mun South Korea
Ya‐Hsin Hsueh Taiwan
P. A. Karthick India
Nemuel Daniel Pah Australia
Ming‐Shing Young relative to Ömer Halil Çolak Türkiye Ömer Halil Çolak's profile →
Citations per field
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Ömer Halil Çolak · 1×
Citations per year

Countries citing papers authored by Ming‐Shing Young

Since Specialization
Citations

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

Fields of papers citing papers by Ming‐Shing Young

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside Ming‐Shing Young, 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 Ming‐Shing Young Line = papers co-authored together Ming‐Shing Young links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200852
2 200746
3 200234
4 201420
5 200618
6 201218
7 200817
8 200315
9 200714
10 200711
11 200510
12 200810
13 19959
14 20119
15 20096
16 20095
17 20025
18 20144
19 20074
20 20094

About Ming‐Shing Young

Ming‐Shing Young is a scholar working on Biomedical Engineering, Cardiology and Cardiovascular Medicine, Electrical and Electronic Engineering, Cognitive Neuroscience and Cellular and Molecular Neuroscience, having authored 34 papers that have together received 340 indexed citations. Recurring topics across this work include Heart Rate Variability and Autonomic Control (7 papers), ECG Monitoring and Analysis (5 papers), Advanced Chemical Sensor Technologies (5 papers), Non-Invasive Vital Sign Monitoring (4 papers), Neuroscience and Neural Engineering (3 papers), Sensor Technology and Measurement Systems (3 papers), EEG and Brain-Computer Interfaces (3 papers) and Flow Measurement and Analysis (3 papers). The work is most often cited by research in Cognitive Neuroscience (60 citations), Orthopedics and Sports Medicine (25 citations), Complementary and alternative medicine (20 citations), Neurology (36 citations) and Physical Therapy, Sports Therapy and Rehabilitation (10 citations). Ming‐Shing Young has collaborated with scholars based in Taiwan, United States and India. Frequent co-authors include Mao‐Tsun Lin, Ing‐Shiou Hwang, Ming‐Wen Chang, Jhi‐Joung Wang, Yung‐Jong Shiah, Yu-Hao Lee, Kai‐Hsiung Chang, Chih‐Feng Huang, Sheng‐Fu Liang and Fu-Zen Shaw. Their work appears in journals such as Instrumentation Science & Technology, Review of Scientific Instruments, IEEE Sensors Journal, The Journal of Alternative and Complementary Medicine and European Journal of Applied Physiology.

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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