Eisuke Hanada

63 papers receiving 407 citations

Peers

Eisuke Hanada
Comparison fields: 5 of 98
  • Medical Laboratory Technology 17
  • Health Informatics 8
  • Biophysics 34
  • Health Information Management 25
  • Biomedical Engineering 163
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Felix Güttler Germany
Amit Mehta United Kingdom
Altug Akay United States
Mehmet Bayrak Türkiye
Zahraa K. Taha Iraq
María de los Ángeles Cosío-León Mexico
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Citations per field
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Felix Güttler · 1×
Citations per year

Countries citing papers authored by Eisuke Hanada

Since Specialization
Citations

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

Fields of papers citing papers by Eisuke Hanada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 71 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200059
2 202350
3
Hospital construction materials: poor shielding capacity with respect to signals transmitted by mobile telephones.
199924
4
The electromagnetic environment of hospitals: how it is affected by the strength of electromagnetic fields generated both inside and outside the hospital.
200723
5 200421
6 201019
7 200216
8 200115
9 201311
10 201811
11 200210
12 200010
13 20089
14 20249
15 20068
16 20078
17 20138
18 20007
19 20247
20 20177

About Eisuke Hanada

Eisuke Hanada is a scholar working on Biomedical Engineering, Electrical and Electronic Engineering, Artificial Intelligence, Health Information Management and Computer Vision and Pattern Recognition, having authored 71 papers that have together received 447 indexed citations. Recurring topics across this work include Wireless Body Area Networks (19 papers), Power Line Communications and Noise (7 papers), Artificial Intelligence in Healthcare (5 papers), Context-Aware Activity Recognition Systems (5 papers), Electromagnetic Fields and Biological Effects (5 papers), IPv6, Mobility, Handover, Networks, Security (4 papers), Quality and Safety in Healthcare (4 papers) and RFID technology advancements (3 papers). The work is most often cited by research in Medical Laboratory Technology (17 citations), Health Informatics (8 citations), Biophysics (34 citations), Health Information Management (25 citations) and Biomedical Engineering (163 citations). Eisuke Hanada has collaborated with scholars based in Japan, Indonesia and United States. Frequent co-authors include Yoshiaki Nose, Yoshiaki Watanabe, Yasushi Hoshino, Kyoko Takano, Michiyasu Yamaki, Azusa Hasegawa, Seiji Tani, Yoshitaro Nose, Shusaku Tsumoto and Yoshiaki Watanabe. Their work appears in journals such as Journal of Medical Systems, Sensors, Computer Methods and Programs in Biomedicine, BioMed Research International and Applied Sciences.

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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