Ming-Yang Huang

1.2k citations
55 papers · 842 indexed · h-index 14

Impact in

Papers in

Ming-Yang Huang

46 papers receiving 817 citations

Peers

Ming-Yang Huang
Comparison fields: 5 of 80
  • Safety, Risk, Reliability and Quality 139
  • Electrical and Electronic Engineering 519
  • Control and Systems Engineering 170
  • Biomedical Engineering 173
  • Computer Vision and Pattern Recognition 70
Replace Jianwen Wu with:
Jianwen Wu China
Arthur F. Witulski United States
Runjie Shen China
Liu Zhang China
Yifan Hu China
Zhen Wei China
Shi-Jie Wen United States
Chao Yang China
Yuying Zhang China
M. Larsson Sweden
Ming-Yang Huang relative to Jianwen Wu China Jianwen Wu's profile →
Citations per field
00.5×4.7×
Jianwen Wu · 1×
Citations per year

Countries citing papers authored by Ming-Yang Huang

Since Specialization
Citations

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

Fields of papers citing papers by Ming-Yang Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20252
3 20250
4 20250
5 20241
6 202433
7 20232
8 20210
9 20192
10 20192
11 20180
12 20181
13 20171
14 20151
15 20141
16 200873
17 200622
18 2006149
19 20055
20 200443

About Ming-Yang Huang

Ming-Yang Huang is a scholar working on Nuclear and High Energy Physics, Aerospace Engineering, Radiation, Safety, Risk, Reliability and Quality and Electrical and Electronic Engineering, having authored 55 papers that have together received 842 indexed citations. Recurring topics across this work include Particle accelerators and beam dynamics (19 papers), Particle Accelerators and Free-Electron Lasers (12 papers), Optimal Power Flow Distribution (8 papers), Nuclear Physics and Applications (6 papers), Power System Reliability and Maintenance (5 papers), Particle physics theoretical and experimental studies (5 papers), Neutrino Physics Research (5 papers) and Superconducting Materials and Applications (5 papers). The work is most often cited by research in Safety, Risk, Reliability and Quality (139 citations), Electrical and Electronic Engineering (519 citations), Control and Systems Engineering (170 citations), Biomedical Engineering (173 citations) and Computer Vision and Pattern Recognition (70 citations). Ming-Yang Huang has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include F. C. Lai, Chia-Hung Lin, C.W. Huang, Hsun‐Jen Chuang, Chaoshun Li, Robert H. Blick, John A. Nairn, Nakul Shaji, Catherine Boone and M. G. Lagally. Their work appears in journals such as Chinese Physics C, Journal of Instrumentation, Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment, IEEE Transactions on Power Systems and Drying Technology.

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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