Shin Ando

839 citations
42 papers · 391 · h-index 11

Impact in

Papers in

    • Anomaly Detection Techniques and Applications 15
    • Evolutionary Algorithms and Applications 14
    • Metaheuristic Optimization Algorithms Research 7
    • Gene Regulatory Network Analysis 8
    • Gene expression and cancer classification 6

Shin Ando

42 papers receiving 361 citations

Peers

Shin Ando
Comparison fields: 5 of 71
  • Artificial Intelligence 224
  • Signal Processing 41
  • Computer Vision and Pattern Recognition 49
  • Computational Theory and Mathematics 38
  • Molecular Biology 150
Replace René Peeters with:
René Peeters Netherlands
Ayan Acharya United States
Ching-pei Lee Taiwan
Borja Balle United Kingdom
Denver Dash United States
Thilo Mahnig France
Paishun Ting United States
Mohammadmahdi R. Yousefi United States
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Citations per field
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René Peeters · 1×
Citations per year

Countries citing papers authored by Shin Ando

Since Specialization
Citations

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

Fields of papers citing papers by Shin Ando

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200254
2 200236
3
Construction of genetic network using evolutionary algorithm and combined fitness function.
200327
4 200727
5 200223
6 201523
7 197717
8 200515
9 200612
10 201312
11 200411
12 200510
13 200310
14 20059
15 20049
16 20008
17
Ant algorithm for construction of evlutionary tree
20027
18 20047
19 20037
20
Linear Genome Methodology for Analog Circuit Design
20006

About Shin Ando

Shin Ando is a scholar working on Artificial Intelligence, Molecular Biology, Signal Processing, Computer Vision and Pattern Recognition and Biomedical Engineering, having authored 42 papers that have together received 391 indexed citations. Recurring topics across this work include Anomaly Detection Techniques and Applications (15 papers), Evolutionary Algorithms and Applications (14 papers), Time Series Analysis and Forecasting (9 papers), Gene Regulatory Network Analysis (8 papers), Metaheuristic Optimization Algorithms Research (7 papers), Gene expression and cancer classification (6 papers), Data-Driven Disease Surveillance (4 papers) and Artificial Immune Systems Applications (4 papers). The work is most often cited by research in Artificial Intelligence (224 citations), Signal Processing (41 citations), Computer Vision and Pattern Recognition (49 citations), Computational Theory and Mathematics (38 citations) and Molecular Biology (150 citations). Shin Ando has collaborated with scholars based in Japan, United States and Thailand. Frequent co-authors include Hitoshi Iba, Einoshin Suzuki, Keinosuke Fukunaga, Shigenobu Kobayashi, Hitoshi Iba, Jun Sakuma, Haruhiko Iba, Yuki Shimizu, Kenichi Arakawa and Akira Suzuki. Their work appears in journals such as Knowledge and Information Systems, Information Sciences, Proceedings Genome Informatics Workshop/Genome informatics, Journal of Thermal Analysis and Calorimetry and Data Mining and Knowledge Discovery.

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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