N.C. Cheung

3.5k citations
171 papers · 2.8k · h-index 29

Impact in

Papers in

N.C. Cheung

167 papers receiving 2.6k citations

Peers

N.C. Cheung
Comparison fields: 5 of 61
  • Control and Systems Engineering 1.9k
  • Electrical and Electronic Engineering 2.2k
  • Mechanical Engineering 943
  • Automotive Engineering 236
  • Electronic, Optical and Magnetic Materials 359
Replace Syed A. Nasar with:
Syed A. Nasar United States
R. Krishnan United States
Seungdeog Choi United States
Qunjing Wang China
Shuangxia Niu Hong Kong
Jacek F. Gieras Poland
Tingna Shi China
Shumei Cui China
D.W. Novotny United States
P.C. Sen Canada
N.C. Cheung relative to Syed A. Nasar United States Syed A. Nasar's profile →
Citations per field
00.5×3.8×
Syed A. Nasar · 1×
Citations per year

Countries citing papers authored by N.C. Cheung

Since Specialization
Citations

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

Fields of papers citing papers by N.C. Cheung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by N.C. Cheung. 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 N.C. Cheung. The network helps show where N.C. Cheung may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 171 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010258
2 2010118
3
Selection of eLECTRIC mOTOR dRIVES for electric vehicles
2008103
4 2009102
5 199692
6 200384
7 200580
8 200768
9 201460
10 200855
11 201451
12 200349
13 201049
14 201247
15 200947
16 201343
17 202442
18 200242
19 201241
20 201139

About N.C. Cheung

N.C. Cheung is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering, Mechanical Engineering, Electronic, Optical and Magnetic Materials and Biomedical Engineering, having authored 171 papers that have together received 2.8k indexed citations. Recurring topics across this work include Electric Motor Design and Analysis (98 papers), Magnetic Bearings and Levitation Dynamics (79 papers), Sensorless Control of Electric Motors (32 papers), Magnetic Properties and Applications (25 papers), Iterative Learning Control Systems (20 papers), Electromagnetic Launch and Propulsion Technology (11 papers), Non-Destructive Testing Techniques (11 papers) and Soft Robotics and Applications (11 papers). The work is most often cited by research in Control and Systems Engineering (1.9k citations), Electrical and Electronic Engineering (2.2k citations), Mechanical Engineering (943 citations), Automotive Engineering (236 citations) and Electronic, Optical and Magnetic Materials (359 citations). N.C. Cheung has collaborated with scholars based in Hong Kong, China and United States. Frequent co-authors include K.W.E. Cheng, X.D. Xue, Jianfei Pan, Wai-Chuen Gan, T.W. Ng, Yu Zou, M.F. Rahman, K.W. Lim, K.C. Wong and Guang‐Zhong Cao. Their work appears in journals such as IEEE Transactions on Magnetics, IEEE Transactions on Industrial Electronics, IEEE Transactions on Instrumentation and Measurement, IET Electric Power Applications and IEEE Transactions on Energy Conversion.

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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