Fumiaki Takeda

827 citations
59 papers · 454 indexed · h-index 9

Fumiaki Takeda

49 papers receiving 385 citations

Peers

Fumiaki Takeda
Comparison fields: 5 of 56
  • Computer Vision and Pattern Recognition 380
  • Analytical Chemistry 85
  • Archeology 42
  • Artificial Intelligence 91
  • Industrial and Manufacturing Engineering 24
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Countries citing papers authored by Fumiaki Takeda

Since Specialization
Citations

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

Fields of papers citing papers by Fumiaki Takeda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20120
4 20101
5
Proposal of an awaking detection system adopting Neural Network in hospital use
20082
6
Proposal of an automatic fish sorting system by intelligent image processing
20082
7
Proposal of awakening behavior detection system using neural network.
20063
8 20033
9
Classification of Rice Grain Using New Scale Invariant Zernike Moments
20026
10 20004
11 19981
12
Characteristic Extraction of Paper Currency using Symmetrical Masks Optimized by GA and Neuro-Recognition of Multi-National Paper Currency
19981
13 19978
14 19953
15 199575
16
Bill Money Recognition by a Small Size Neural Network
19933
17
Bank note recognition system Using Neural network with random masks
199324
18 19924
19 19923
20 1992115

About Fumiaki Takeda

Fumiaki Takeda is a scholar working on Computer Vision and Pattern Recognition, Industrial and Manufacturing Engineering and Analytical Chemistry, having authored 59 papers that have together received 454 indexed citations. Recurring topics across this work include Currency Recognition and Detection (35 papers), Neural Networks and Applications (12 papers), Industrial Vision Systems and Defect Detection (10 papers), Spectroscopy and Chemometric Analyses (9 papers), Smart Agriculture and AI (9 papers), Advanced Chemical Sensor Technologies (6 papers), Image and Object Detection Techniques (5 papers) and Image Retrieval and Classification Techniques (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (380 citations), Analytical Chemistry (85 citations) and Archeology (42 citations). Fumiaki Takeda has collaborated with scholars based in Japan, Malaysia and United States. Frequent co-authors include Sigeru Omatu, Minoru Fukumi, Tatsuro KOSAKA, Raveendran Paramesran, Chong‐Yaw Wee, Koichi Oka, Hideki Kadota, Masahiro Tanaka, Hideaki Uchida and Yoshiaki Shiraishi.

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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