K. Shida

1.3k citations
65 papers · 960 indexed · h-index 16

Impact in

Papers in

K. Shida

57 papers receiving 900 citations

Peers

K. Shida
Comparison fields: 5 of 114
  • Food Science 300
  • Immunology and Allergy 90
  • Signal Processing 85
  • Bioengineering 42
  • Nutrition and Dietetics 106
Replace Hassan Rabah with:
Hassan Rabah France
R. Hemalatha India
S. Jankowski Poland
Lijie Yang China
M. Das United States
Jae Hoon Lee South Korea
Yunjin Lee South Korea
Mostafa Sadeghi Iran
Béatrice Laroche France
Seungwon Shin South Korea
K. Shida relative to Hassan Rabah France Hassan Rabah's profile →
Citations per field
00.5×10.5×
Hassan Rabah · 1×
Citations per year

Countries citing papers authored by K. Shida

Since Specialization
Citations

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

Fields of papers citing papers by K. Shida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20241
2 20080
3 20083
4 2006131
5 200618
6 20060
7 20042
8 20043
9 20031
10 20031
11 2002162
12 20021
13 200226
14 20021
15 20021
16 200147
17 200029
18 199917
19 199931
20 19895

About K. Shida

K. Shida is a scholar working on Bioengineering, Biomedical Engineering, Human-Computer Interaction, Electrical and Electronic Engineering and Computer Networks and Communications, having authored 65 papers that have together received 960 indexed citations. Recurring topics across this work include Electrical and Bioimpedance Tomography (15 papers), Analytical Chemistry and Sensors (13 papers), Sensor Technology and Measurement Systems (10 papers), Advanced Sensor and Energy Harvesting Materials (8 papers), Advanced Chemical Sensor Technologies (6 papers), Non-Destructive Testing Techniques (6 papers), Fuzzy Logic and Control Systems (6 papers) and Probiotics and Fermented Foods (5 papers). The work is most often cited by research in Food Science (300 citations), Immunology and Allergy (90 citations), Signal Processing (85 citations), Bioengineering (42 citations) and Nutrition and Dietetics (106 citations). K. Shida has collaborated with scholars based in Japan, China and Bangladesh. Frequent co-authors include Yegui Xiao, Masanobu Nanno, D.M.G. Preethichandra, Masato Nagaoka, Koichi Watanabe, Junko Kiyoshima‐Shibata, Ko Okumura, Kazuyoshi Takeda, T Suzuki and Satoshi Hachimura. Their work appears in journals such as IEEE Transactions on Instrumentation and Measurement, IEEE Transactions on Signal Processing, Journal of Allergy and Clinical Immunology, Japanese Journal of Clinical Oncology and Journal of Lightwave 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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