Takeshi Fujino

54 papers and 150 indexed citations i.

About

Takeshi Fujino is a scholar working on Artificial Intelligence, Hardware and Architecture and Electrical and Electronic Engineering. According to data from OpenAlex, Takeshi Fujino has authored 54 papers receiving a total of 150 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Artificial Intelligence, 29 papers in Hardware and Architecture and 17 papers in Electrical and Electronic Engineering. Recurrent topics in Takeshi Fujino’s work include Physical Unclonable Functions (PUFs) and Hardware Security (26 papers), Cryptographic Implementations and Security (18 papers) and Adversarial Robustness in Machine Learning (12 papers). Takeshi Fujino is often cited by papers focused on Physical Unclonable Functions (PUFs) and Hardware Security (26 papers), Cryptographic Implementations and Security (18 papers) and Adversarial Robustness in Machine Learning (12 papers). Takeshi Fujino collaborates with scholars based in Japan, United States and Ireland. Takeshi Fujino's co-authors include Mitsuru Shiozaki, Masaya Yoshikawa, Takeshi Sugawara, Daisuke Suzuki, Ryoichi Fujii, Takeshi Ogura, Anh Tuan Hoang, Daisuke Suzuki, Takahiko Murayama and Akihiro Nakamura and has published in prestigious journals such as Sensors, IEEE Access and IEEE Journal of Solid-State Circuits.

In The Last Decade

Co-authorship network of co-authors of Takeshi Fujino i

Fields of papers citing papers by Takeshi Fujino

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Takeshi Fujino

Since Specialization
Citations

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