Hsing‐Cheng Yu

627 citations
33 papers · 531 · h-index 11

Impact in

Papers in

Hsing‐Cheng Yu

33 papers receiving 524 citations

Peers

Hsing‐Cheng Yu
Comparison fields: 5 of 65
  • Control and Systems Engineering 245
  • Electrical and Electronic Engineering 406
  • Media Technology 38
  • Energy Engineering and Power Technology 7
  • Computer Vision and Pattern Recognition 38
Replace Víctor M. López with:
Víctor M. López Spain
Basharat Ullah Pakistan
Michael Gasperi United States
Markus Vogelsberger Austria
Alberto Oliveri Italy
Guanliang Liu United States
Kibok Lee South Korea
Лидија Петковска North Macedonia
Mao Ye China
Meng Zhao China
Hsing‐Cheng Yu relative to Víctor M. López Spain Víctor M. López's profile →
Citations per field
00.5×1.5×2.4×
Víctor M. López · 1×
Citations per year

Countries citing papers authored by Hsing‐Cheng Yu

Since Specialization
Citations

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

Fields of papers citing papers by Hsing‐Cheng Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hsing‐Cheng Yu. 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 Hsing‐Cheng Yu. The network helps show where Hsing‐Cheng Yu may publish in the future.

Co-authors

The 17 scholars most cited alongside Hsing‐Cheng Yu, 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 Hsing‐Cheng Yu Line = papers co-authored together Hsing‐Cheng Yu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016221
2 200546
3 201437
4 201431
5 200618
6 200815
7 201814
8 201913
9 200513
10 201512
11 201611
12 201710
13 20169
14 20078
15 20178
16 19968
17 20158
18 20147
19 20087
20 20076

About Hsing‐Cheng Yu

Hsing‐Cheng Yu is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering, Media Technology, Computer Vision and Pattern Recognition and Biomedical Engineering, having authored 33 papers that have together received 531 indexed citations. Recurring topics across this work include Multilevel Inverters and Converters (10 papers), Electric Motor Design and Analysis (9 papers), Advanced DC-DC Converters (7 papers), Sensorless Control of Electric Motors (7 papers), Image Processing Techniques and Applications (5 papers), Magnetic Bearings and Levitation Dynamics (5 papers), Image and Video Stabilization (4 papers) and Optical Systems and Laser Technology (3 papers). The work is most often cited by research in Control and Systems Engineering (245 citations), Electrical and Electronic Engineering (406 citations), Media Technology (38 citations), Energy Engineering and Power Technology (7 citations) and Computer Vision and Pattern Recognition (38 citations). Hsing‐Cheng Yu has collaborated with scholars based in Taiwan, United States and Canada. Frequent co-authors include Cheng‐Kai Lin, Jen‐te Yu, Yen‐Shin Lai, Chien-Sheng Liu, Shir‐Kuan Lin, D.R. Huang, T.S. Liu, Jack Ferrier, Tze-An Liu and Yu‐Sheng Lai. Their work appears in journals such as IEEE Transactions on Magnetics, Applied Sciences, Journal of Applied Physics, Electronics Letters and Mechanism and Machine Theory.

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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