Naoki Wake
Impact in
-
- Pain Management and Treatment
- Health Informatics top 10%
Papers in
-
- Robot Manipulation and Learning 11
-
- Speech and dialogue systems 3
- Reinforcement Learning in Robotics 3
- Co-authors
- Katsushi Ikeuchi (19 shared papers)Jun Takamatsu (10 shared papers)Shinichiro Kumagaya (6 shared papers)Masahiko Sumitani (6 shared papers)Yasuo Kuniyoshi (6 shared papers)Michihiro Osumi (5 shared papers)Shu Morioka (3 shared papers)Arito Yozu (2 shared papers)
- Journals
- IEEE Access (2 papers)Scientific Reports (1 paper)Neurocase (1 paper)Neuroscience (1 paper)Frontiers in Neuroscience (1 paper)
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Naoki Wake
25 papers receiving 291 citations
Peers
Comparison fields: 5 of 59
- Anesthesiology and Pain Medicine 85
- Health Informatics 14
- Human-Computer Interaction 53
- Rehabilitation 49
- Pharmacology 79
Countries citing papers authored by Naoki Wake
This map shows the geographic impact of Naoki Wake'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 Naoki Wake with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Naoki Wake more than expected).
Fields of papers citing papers by Naoki Wake
This network shows the impact of papers produced by Naoki Wake. 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 Naoki Wake. The network helps show where Naoki Wake may publish in the future.
Co-authors
The 20 scholars most cited alongside Naoki Wake, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 59 | |
| 2 | 2023 | 50 | |
| 3 | 2016 | 32 | |
| 4 | 2024 | 29 | |
| 5 | 2015 | 28 | |
| 6 | 2015 | 14 | |
| 7 | 2015 | 14 | |
| 8 | 2019 | 10 | |
| 9 | 2022 | 10 | |
| 10 | 2022 | 8 | |
| 11 | 2019 | 8 | |
| 12 | 2023 | 6 | |
| 13 | 2021 | 6 | |
| 14 | 2021 | 5 | |
| 15 | 2021 | 5 | |
| 16 | 2023 | 4 | |
| 17 | 2022 | 4 | |
| 18 | 2021 | 4 | |
| 19 | 2023 | 2 | |
| 20 | 2024 | 2 |
About Naoki Wake
Naoki Wake is a scholar working on Control and Systems Engineering, Artificial Intelligence, Computer Vision and Pattern Recognition, Human-Computer Interaction and Anesthesiology and Pain Medicine, having authored 29 papers that have together received 308 indexed citations. Recurring topics across this work include Robot Manipulation and Learning (11 papers), Hand Gesture Recognition Systems (6 papers), Pain Management and Treatment (6 papers), Multimodal Machine Learning Applications (5 papers), Musculoskeletal pain and rehabilitation (4 papers), Speech and dialogue systems (3 papers), Reinforcement Learning in Robotics (3 papers) and Stroke Rehabilitation and Recovery (3 papers). The work is most often cited by research in Anesthesiology and Pain Medicine (85 citations), Health Informatics (14 citations), Human-Computer Interaction (53 citations), Rehabilitation (49 citations) and Pharmacology (79 citations). Naoki Wake has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Katsushi Ikeuchi, Jun Takamatsu, Shinichiro Kumagaya, Masahiko Sumitani, Yasuo Kuniyoshi, Michihiro Osumi, Shu Morioka, Arito Yozu, Hirokazu Takahashi and Hideki Koike. Their work appears in journals such as IEEE Access, Scientific Reports, Neurocase, Neuroscience and Frontiers in Neuroscience.
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.