Jun Oyama

1.3k citations
112 papers · 952 · h-index 17

Impact in

Papers in

Jun Oyama

94 papers receiving 915 citations

Peers

Jun Oyama
Comparison fields: 5 of 80
  • Control and Systems Engineering 339
  • Health Informatics 16
  • Electrical and Electronic Engineering 611
  • Radiology, Nuclear Medicine and Imaging 142
  • Electronic, Optical and Magnetic Materials 111
Replace A. Di Napoli with:
A. Di Napoli Italy
Weiting Chen China
Ge Fang Hong Kong
Ri Liu China
Yunhe Yu United States
Jinghong Zhao China
Bo He China
Xiaoyi Gu China
Tyler Meyer Canada
Jun Oyama relative to A. Di Napoli Italy A. Di Napoli's profile →
Citations per field
00.5×1.5×1.8×
A. Di Napoli · 1×
Citations per year

Countries citing papers authored by Jun Oyama

Since Specialization
Citations

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

Fields of papers citing papers by Jun Oyama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jun Oyama. 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 Jun Oyama. The network helps show where Jun Oyama may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 112 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003101
2 202070
3 202054
4 198745
5 202041
6 200534
7 200531
8 200230
9 200626
10 202223
11 200322
12 199622
13 200622
14 200921
15 200221
16
The study of eddy current in rotor and circuit coupling analysis for small size and ultra-high speed motor
200417
17 198917
18 202216
19 199715
20 201815

About Jun Oyama

Jun Oyama is a scholar working on Control and Systems Engineering, Electrical and Electronic Engineering, Electronic, Optical and Magnetic Materials, Neurology and Mechanical Engineering, having authored 112 papers that have together received 952 indexed citations. Recurring topics across this work include Electric Motor Design and Analysis (51 papers), Sensorless Control of Electric Motors (31 papers), Magnetic Bearings and Levitation Dynamics (27 papers), Multilevel Inverters and Converters (21 papers), Magnetic Properties and Applications (16 papers), Advanced DC-DC Converters (13 papers), Induction Heating and Inverter Technology (11 papers) and Microgrid Control and Optimization (8 papers). The work is most often cited by research in Control and Systems Engineering (339 citations), Health Informatics (16 citations), Electrical and Electronic Engineering (611 citations), Radiology, Nuclear Medicine and Imaging (142 citations) and Electronic, Optical and Magnetic Materials (111 citations). Jun Oyama has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include T. Higuchi, Tsuyoshi Higuchi, Takashi Abe, Emi Yamada, Thomas Anthony Lipo, Ukihide Tateishi, T. Koga, Tomoyuki Fujioka, Goshi Oda and Tsuyoshi Nakagawa. Their work appears in journals such as IEEJ Transactions on Industry Applications, Applied and Environmental Microbiology, JACC. Clinical electrophysiology, IEEE Transactions on Industrial Electronics and Brain and Development.

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.

Explore authors with similar magnitude of impact