T.F. Chan

2.7k citations
80 papers · 2.2k · h-index 28

Impact in

Papers in

T.F. Chan

79 papers receiving 2.0k citations

Peers

T.F. Chan
Comparison fields: 5 of 54
  • Control and Systems Engineering 1.2k
  • Electrical and Electronic Engineering 2.1k
  • Energy Engineering and Power Technology 80
  • Electronic, Optical and Magnetic Materials 215
  • Mechanical Engineering 287
Replace Cristian Lascu with:
Cristian Lascu Romania
M.I. Valla Argentina
R.E. Betz Australia
Muammer Ermiş Türkiye
Jikai Si China
Olorunfemi Ojo United States
Christoph M. Hackl Germany
José M. Aller Venezuela
Zhonggang Yin China
S. Peresada Ukraine
T.F. Chan relative to Cristian Lascu Romania Cristian Lascu's profile →
Citations per field
00.5×1.5×
Cristian Lascu · 1×
Citations per year

Countries citing papers authored by T.F. Chan

Since Specialization
Citations

This map shows the geographic impact of T.F. Chan'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 T.F. Chan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T.F. Chan more than expected).

Fields of papers citing papers by T.F. Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by T.F. Chan. 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 T.F. Chan. The network helps show where T.F. Chan may publish in the future.

Co-authors

The 22 scholars most cited alongside T.F. Chan, 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 T.F. Chan Line = papers co-authored together T.F. Chan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 80 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002238
2 2007186
3 1993180
4 1995106
5 1994106
6 199979
7 200971
8 200870
9 200762
10 200459
11 201059
12
Applied Intelligent Control of Induction Motor Drives
201155
13 200453
14 200249
15 199947
16 200145
17 200243
18 199643
19 200241
20 200238

About T.F. Chan

T.F. Chan is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering, Electronic, Optical and Magnetic Materials, Mechanical Engineering and Artificial Intelligence, having authored 80 papers that have together received 2.2k indexed citations. Recurring topics across this work include Electric Motor Design and Analysis (69 papers), Wind Turbine Control Systems (29 papers), Magnetic Properties and Applications (19 papers), Sensorless Control of Electric Motors (18 papers), Induction Heating and Inverter Technology (16 papers), Magnetic Bearings and Levitation Dynamics (13 papers), Multilevel Inverters and Converters (10 papers) and Microgrid Control and Optimization (8 papers). The work is most often cited by research in Control and Systems Engineering (1.2k citations), Electrical and Electronic Engineering (2.1k citations), Energy Engineering and Power Technology (80 citations), Electronic, Optical and Magnetic Materials (215 citations) and Mechanical Engineering (287 citations). T.F. Chan has collaborated with scholars based in Hong Kong, United Kingdom and China. Frequent co-authors include Loi Lei Lai, S. L. Ho, Ke Shi, YW Wong, Y.K. Wong, Weimin Wang, K.A. Nigim, Weimin Wang, Yoko Wong and Li‐Tang Yan. Their work appears in journals such as IEEE Transactions on Energy Conversion, IEEE Transactions on Magnetics, IET Electric Power Applications, IEEE Transactions on Industry Applications and International journal of engineering education.

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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