Fumiaki Takeda

32 papers and 192 indexed citations i.

About

Fumiaki Takeda is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Industrial and Manufacturing Engineering. According to data from OpenAlex, Fumiaki Takeda has authored 32 papers receiving a total of 192 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Computer Vision and Pattern Recognition, 12 papers in Artificial Intelligence and 6 papers in Industrial and Manufacturing Engineering. Recurrent topics in Fumiaki Takeda’s work include Currency Recognition and Detection (19 papers), Neural Networks and Applications (8 papers) and Industrial Vision Systems and Defect Detection (6 papers). Fumiaki Takeda is often cited by papers focused on Currency Recognition and Detection (19 papers), Neural Networks and Applications (8 papers) and Industrial Vision Systems and Defect Detection (6 papers). Fumiaki Takeda collaborates with scholars based in Japan, United States and Malaysia. Fumiaki Takeda's co-authors include Sigeru Omatu, Minoru Fukumi, Tatsuro KOSAKA, Raveendran Paramesran, Chong‐Yaw Wee, Brian E. Reed, Mark R. Matsumoto, Akio Wake, Hiroaki Iwamoto and H. Yamamoto and has published in prestigious journals such as Information Sciences, Engineering Applications of Artificial Intelligence and Journal of Environmental Engineering.

In The Last Decade

Co-authorship network of co-authors of Fumiaki Takeda i

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.

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).

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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