Ming‐Ta Yang

2.3k citations
87 papers · 1.7k indexed · h-index 18

Ming‐Ta Yang

83 papers receiving 1.6k citations

Peers

Ming‐Ta Yang
Comparison fields: 5 of 78
  • Electrical and Electronic Engineering 1.5k
  • Control and Systems Engineering 314
  • Safety, Risk, Reliability and Quality 65
  • Statistics, Probability and Uncertainty 49
  • Medical Laboratory Technology 9
Replace Jyh‐Cherng Gu with:
Jyh‐Cherng Gu Taiwan
Xianyong Feng United States
Kai Chen China
Roberto Ottoboni Italy
Zuxin Li China
Gab‐Su Seo United States
Salvatore Nuccio Italy
Antonio Cataliotti Italy
Yue Sun China
Ming‐Ta Yang relative to Jyh‐Cherng Gu Taiwan Jyh‐Cherng Gu's profile →
Citations per field
00.5×1.5×1.8×
Jyh‐Cherng Gu · 1×
Citations per year

Countries citing papers authored by Ming‐Ta Yang

Since Specialization
Citations

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

Fields of papers citing papers by Ming‐Ta Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Ming‐Ta Yang, 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‐Ta Yang Line = papers co-authored together Ming‐Ta Yang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 2021118
2 202041
3 201963
4 20177
5 201619
6 201311
7 20127
8
RF and mixed-signal performances of a low cost 28nm low-power CMOS technology for wireless system-on-chip applications
201112
9 200914
10 20097
11 20084
12 20072
13 20074
14 20063
15 20068
16 20057
17 200414
18
Using Fractal Dimension Analysis on Objective Auscultation of Traditional Chinese Medical Diagnosis
200211
19 199915
20 19942

About Ming‐Ta Yang

Ming‐Ta Yang is a scholar working on Control and Systems Engineering, Electrical and Electronic Engineering and Energy Engineering and Power Technology, having authored 87 papers that have together received 1.7k indexed citations. Recurring topics across this work include Radio Frequency Integrated Circuit Design (23 papers), Semiconductor materials and devices (18 papers), Power Systems Fault Detection (16 papers), Advancements in Semiconductor Devices and Circuit Design (14 papers), Islanding Detection in Power Systems (10 papers), Electrical Fault Detection and Protection (9 papers), Smart Grid Security and Resilience (8 papers) and Microwave Engineering and Waveguides (7 papers). The work is most often cited by research in Electrical and Electronic Engineering (1.5k citations), Control and Systems Engineering (314 citations) and Safety, Risk, Reliability and Quality (65 citations). Ming‐Ta Yang has collaborated with scholars based in Taiwan, United States and Canada. Frequent co-authors include Sorin P. Voinigescu, Jyh‐Cherng Gu, M. Tazlauanu, Peter Schvan, Kenneth H. K. Yau, Keith Tang, Chun‐Hung Liu, Po‐Chun Lin, T. Chalvatzis and K.H.K. Yau. Their work appears in journals such as Energies, IEEE Transactions on Electron Devices, IEEE Transactions on Microwave Theory and Techniques, IEEE Transactions on Industry Applications and IET Generation Transmission & Distribution.

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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