Yusuke Ikeda

751 citations
50 papers · 529 · h-index 14

Impact in

Papers in

Yusuke Ikeda

46 papers receiving 512 citations

Peers

Yusuke Ikeda
Comparison fields: 5 of 125
  • Orthopedics and Sports Medicine 169
  • Developmental and Educational Psychology 38
  • Biomedical Engineering 131
  • Biochemistry 17
  • Otorhinolaryngology 10
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In Ho Han South Korea
Atsushi Kubota Japan
Yuan Zhao China
Giora Enden Israel
Jitendra Prasad India
Yu‐Chun Chen Taiwan
Shengqiao Li United States
Xuxu Chen China
Sixiang Wang China
Yuichiro Abe Japan
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Citations per field
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Citations per year

Countries citing papers authored by Yusuke Ikeda

Since Specialization
Citations

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

Fields of papers citing papers by Yusuke Ikeda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Effect of number of hidden neurons on learning in large-scale layered neural networks
200985
2 199359
3 200640
4 200927
5 201226
6 198622
7 201721
8 201321
9 202119
10 201518
11 201117
12 201916
13 201615
14 202113
15 201613
16 200512
17 202010
18 202210
19 201610
20 20128

About Yusuke Ikeda

Yusuke Ikeda is a scholar working on Orthopedics and Sports Medicine, Biomedical Engineering, Molecular Biology, Surgery and Atomic and Molecular Physics, and Optics, having authored 50 papers that have together received 529 indexed citations. Recurring topics across this work include Sports Performance and Training (13 papers), Sports injuries and prevention (8 papers), Sports Dynamics and Biomechanics (4 papers), Advanced MEMS and NEMS Technologies (3 papers), Muscle activation and electromyography studies (3 papers), Head and Neck Cancer Studies (3 papers), Salivary Gland Tumors Diagnosis and Treatment (2 papers) and Sport Psychology and Performance (2 papers). The work is most often cited by research in Orthopedics and Sports Medicine (169 citations), Developmental and Educational Psychology (38 citations), Biomedical Engineering (131 citations), Biochemistry (17 citations) and Otorhinolaryngology (10 citations). Yusuke Ikeda has collaborated with scholars based in Japan, Germany and United States. Frequent co-authors include Katsunari Shibata, Takafumi Fuchimoto, Akira Ito, Naoki Yamamoto, Hiroshi Ichikawa, Akihiko Sakashita, HP Koeffler, Hideaki Nakajima, Masahiro Kizaki and Ryuji Tanosaki. Their work appears in journals such as The Journal of Strength and Conditioning Research, Journal of Sports Sciences, Sensors and Actuators A Physical, The Journal of Dermatology and Analytical Biochemistry.

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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