Daisuke Saito
Impact in
- Physiology top 0.5%
- Reproductive biology and impacts on aquatic species
- Signal Processing top 1%
- Speech and Audio Processing
- Music and Audio Processing
Papers in
-
- Speech Recognition and Synthesis 70
- Natural Language Processing Techniques 14
- Speech and dialogue systems 13
-
- Speech and Audio Processing 53
- Music and Audio Processing 32
- Co-authors
- Minoru Tanaka (9 shared papers)Hayaru Shouno (1 shared paper)Kazuyuki Hara (1 shared paper)Shuhei Nakamura (5 shared papers)Atsushi Mochizuki (5 shared papers)Junichi Yamagishi (7 shared papers)Akihisa Urano (5 shared papers)Nobuaki Minematsu (61 shared papers)
- Journals
- IEEE/ACM Transactions on Audio Speech and Language Processing (3 papers)Developmental Biology (3 papers)Development Growth & Differentiation (2 papers)Gastroenterology (2 papers)BMC Gastroenterology (2 papers)
- Partner nations
- JapanUnited KingdomUnited States
In The Last Decade
Daisuke Saito
124 papers receiving 2.8k citations
Daisuke Saito's Hit Papers
Peers
Comparison fields: 5 of 151
- Physiology 595
- Signal Processing 670
- Reproductive Medicine 291
- Genetics 923
- Artificial Intelligence 778
Countries citing papers authored by Daisuke Saito
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
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.
All Works
Showing the 20 most-cited of 142 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 → | 2015 | 295 |
| 2 | 2007 | 252 | |
| 3 | 2007 | 209 | |
| 4 | 2018 | 194 | |
| 5 | 2013 | 124 | |
| 6 | 2007 | 118 | |
| 7 | 2016 | 112 | |
| 8 | 2004 | 112 | |
| 9 | 2013 | 96 | |
| 10 | 2016 | 82 | |
| 11 | 2012 | 79 | |
| 12 | 2007 | 76 | |
| 13 | 2011 | 68 | |
| 14 | 2015 | 63 | |
| 15 | 2008 | 50 | |
| 16 | 2010 | 50 | |
| 17 | 2018 | 45 | |
| 18 | 2003 | 44 | |
| 19 | 2008 | 42 | |
| 20 | 2008 | 41 |
About Daisuke Saito
Daisuke Saito is a scholar working on Artificial Intelligence, Signal Processing, Genetics, Molecular Biology and Experimental and Cognitive Psychology, having authored 142 papers that have together received 2.9k indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (70 papers), Speech and Audio Processing (53 papers), Music and Audio Processing (32 papers), Natural Language Processing Techniques (14 papers), Phonetics and Phonology Research (13 papers), Speech and dialogue systems (13 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 (595 citations), Signal Processing (670 citations), Reproductive Medicine (291 citations), Genetics (923 citations) and Artificial Intelligence (778 citations). Daisuke Saito has collaborated with scholars based in Japan, United Kingdom and United States. Frequent co-authors include Minoru Tanaka, Hayaru Shouno, Kazuyuki Hara, Shuhei Nakamura, Atsushi Mochizuki, Junichi Yamagishi, Akihisa Urano, Nobuaki Minematsu, Tomoki Toda and Gen Kurosawa. Their work appears in journals such as IEEE/ACM Transactions on Audio Speech and Language Processing, Developmental Biology, Development Growth & Differentiation, Gastroenterology and BMC Gastroenterology.
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.