Daisuke Saito

3.9k citations
136 papers · 2.7k · 1 hit paper · h-index 26

Impact in

  • Physiology top 0.5%
    • Reproductive biology and impacts on aquatic species
    • Speech and Audio Processing
    • Music and Audio Processing

Papers in

    • Speech Recognition and Synthesis 66
    • Natural Language Processing Techniques 12
    • Speech and dialogue systems 12
    • Speech and Audio Processing 51
    • Music and Audio Processing 30

Daisuke Saito

123 papers receiving 2.6k citations

Daisuke Saito's Hit Papers

Analysis of function of rectified linear unit used in deep learning 2015 · 273 citations
2730+3+7Years since publication50100150200250

Peers

Daisuke Saito
Comparison fields: 5 of 152
  • Physiology 567
  • Signal Processing 631
  • Reproductive Medicine 277
  • Genetics 876
  • Artificial Intelligence 724
Replace David A. Nix with:
David A. Nix United States
H. Niemann Germany
Osamu Hasegawa Japan
Jian Ma United States
Chiara Sabatti United States
Qi Mao China
David A. Ross United States
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Yunhao Liu China
Ola Friman Sweden
Daisuke Saito relative to David A. Nix United States David A. Nix's profile →
Citations per field
00.5×12.3×
David A. Nix · 1×
Citations per year

Countries citing papers authored by Daisuke Saito

Since Specialization
Citations

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

Fields of papers citing papers by Daisuke Saito

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 136 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Analysis of function of rectified linear unit used in deep learning
Hit paper breakdown →
2015273
2 2007233
3 2007190
4 2018184
5 2013121
6 2007109
7 2016106
8 2004101
9 201394
10 201277
11 201675
12 200768
13 201162
14 201558
15 201049
16 201844
17 200842
18 200840
19 200338
20 200837

About Daisuke Saito

Daisuke Saito is a scholar working on Artificial Intelligence, Signal Processing, Genetics, Molecular Biology and Experimental and Cognitive Psychology, having authored 136 papers that have together received 2.7k indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (66 papers), Speech and Audio Processing (51 papers), Music and Audio Processing (30 papers), Phonetics and Phonology Research (13 papers), Natural Language Processing Techniques (12 papers), Speech and dialogue systems (12 papers), Reproductive biology and impacts on aquatic species (10 papers) and Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (9 papers). The work is most often cited by research in Physiology (567 citations), Signal Processing (631 citations), Reproductive Medicine (277 citations), Genetics (876 citations) and Artificial Intelligence (724 citations). Daisuke Saito has collaborated with scholars based in Japan, United Kingdom and United States. Frequent co-authors include Minoru Tanaka, Kazuyuki Hara, Hayaru Shouno, Shuhei Nakamura, Atsushi Mochizuki, Junichi Yamagishi, Nobuaki Minematsu, Akihisa Urano, Tomoki Toda and Bernold Fiedler. Their work appears in journals such as IEEE/ACM Transactions on Audio Speech and Language Processing, Developmental Biology, Nature Communications, Oncotarget and Proceedings of the National Academy of Sciences.

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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