F.D. Tan

790 citations
17 papers · 564 · h-index 10

Impact in

Papers in

F.D. Tan

17 papers receiving 520 citations

Peers

F.D. Tan
Comparison fields: 5 of 27
  • Electrical and Electronic Engineering 542
  • Automotive Engineering 85
  • Control and Systems Engineering 131
  • Electronic, Optical and Magnetic Materials 77
  • Mechanical Engineering 70
Replace Takashi Nabeshima with:
Takashi Nabeshima Japan
Hongbo Zhao Denmark
U. Badstuebner Switzerland
D.M. Van de Sype Belgium
Derek A. Paice United States
H. Güldner Germany
Rudolf P. Severns United States
Krishna Mainali United States
J.D. vanWyk United States
L. E. Unnewehr United States
F.D. Tan relative to Takashi Nabeshima Japan Takashi Nabeshima's profile →
Citations per field
00.5×1.5×2.4×
Takashi Nabeshima · 1×
Citations per year

Countries citing papers authored by F.D. Tan

Since Specialization
Citations

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

Fields of papers citing papers by F.D. Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 7 scholars most cited alongside F.D. Tan, 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 F.D. Tan Line = papers co-authored together F.D. Tan links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 1995209
2 200396
3 199591
4 199148
5 198927
6 200224
7 200219
8 200215
9 199510
10 20029
11 20035
12 20023
13 20033
14 20032
15 20231
16 20021
17 20021

About F.D. Tan

F.D. Tan is a scholar working on Electrical and Electronic Engineering, Automotive Engineering, Electronic, Optical and Magnetic Materials, Computer Networks and Communications and Control and Systems Engineering, having authored 17 papers that have together received 564 indexed citations. Recurring topics across this work include Advanced DC-DC Converters (9 papers), Silicon Carbide Semiconductor Technologies (4 papers), Multilevel Inverters and Converters (4 papers), Advanced Battery Technologies Research (3 papers), Magnetic Properties and Applications (3 papers), Advanced Power Amplifier Design (2 papers), Nonlinear Dynamics and Pattern Formation (2 papers) and Advanced Electrical Measurement Techniques (2 papers). The work is most often cited by research in Electrical and Electronic Engineering (542 citations), Automotive Engineering (85 citations), Control and Systems Engineering (131 citations), Electronic, Optical and Magnetic Materials (77 citations) and Mechanical Engineering (70 citations). F.D. Tan has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include R.D. Middlebrook, S. Ćuk, A.K.S. Bhat, Matija Ćuk, Anne Gulland, C. González and David Cooper. Their work appears in journals such as IEEE Transactions on Power Electronics, IEEE Transactions on Magnetics, IEEE Transactions on Aerospace and Electronic Systems, Nature and CaltechAUTHORS (California Institute of 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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