Mineichi Kudo

2.8k citations
111 papers · 1.7k · 1 hit paper · h-index 18

Impact in

    • Face and Expression Recognition
    • Image Retrieval and Classification Techniques
    • Advanced Image and Video Retrieval Techniques
    • Neural Networks and Applications
    • Machine Learning and Data Classification
    • Text and Document Classification Technologies
    • Metaheuristic Optimization Algorithms Research
    • Evolutionary Algorithms and Applications

Papers in

    • Face and Expression Recognition 20
    • Video Surveillance and Tracking Methods 11
    • Image Retrieval and Classification Techniques 8
    • Machine Learning and Data Classification 12
    • Neural Networks and Applications 11
    • Machine Learning and Algorithms 10
    • Text and Document Classification Technologies 8

Mineichi Kudo

105 papers receiving 1.6k citations

Mineichi Kudo's Hit Papers

Comparison of algorithms that select features for pattern classifiers 2000 · 613 citations
6130+8+17Years since publication200400600

Peers

Mineichi Kudo
Comparison fields: 5 of 137
  • Computer Vision and Pattern Recognition 611
  • Artificial Intelligence 734
  • Signal Processing 238
  • Human-Computer Interaction 49
  • Computational Mathematics 5
Replace Chong‐Ho Choi with:
Chong‐Ho Choi South Korea
Michael Gray United States
Tülay Yıldırım Türkiye
Yi Liu China
A. Prieto Spain
Ghulum Bakiri Bahrain
Tao Xiong United States
Minnan Luo China
Maurizio Filippone United Kingdom
Mineichi Kudo relative to Chong‐Ho Choi South Korea Chong‐Ho Choi's profile →
Citations per field
00.5×2.6×
Chong‐Ho Choi · 1×
Citations per year

Countries citing papers authored by Mineichi Kudo

Since Specialization
Citations

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

Fields of papers citing papers by Mineichi Kudo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 111 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Comparison of algorithms that select features for pattern classifiers
Hit paper breakdown →
2000613
2 199989
3 200462
4 201253
5 200552
6 200842
7 202034
8 200633
9 201029
10 201629
11 201527
12 201225
13 202124
14 201423
15 201023
16 200921
17
A COMPARATIVE EVALUATION OF MEDIUM-AND LARGE-SCALE FEATURE SELECTORS FOR PATTERN CLASSIFIERS
199820
18 199818
19 199616
20 200816

About Mineichi Kudo

Mineichi Kudo is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Information Systems, Signal Processing and Biomedical Engineering, having authored 111 papers that have together received 1.7k indexed citations. Recurring topics across this work include Face and Expression Recognition (20 papers), Machine Learning and Data Classification (12 papers), Video Surveillance and Tracking Methods (11 papers), Neural Networks and Applications (11 papers), Gait Recognition and Analysis (10 papers), Machine Learning and Algorithms (10 papers), Text and Document Classification Technologies (8 papers) and Image Retrieval and Classification Techniques (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (611 citations), Artificial Intelligence (734 citations), Signal Processing (238 citations), Human-Computer Interaction (49 citations) and Computational Mathematics (5 citations). Mineichi Kudo has collaborated with scholars based in Japan, China and United Kingdom. Frequent co-authors include Jack Sklansky, Masaru Shimbo, Jun Toyama, Atsuyoshi Nakamura, Ichigaku Takigawa, Lu Sun, Shuai Tao, Guoliang Lu, Shen Q. Pan and Hideyuki Imai. Their work appears in journals such as Pattern Recognition, Pattern Analysis and Applications, Pattern Recognition Letters, Kybernetika and Discrete Applied Mathematics.

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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