Daiki Kimura
Impact in
-
- Anomaly Detection Techniques and Applications
- Topic Modeling
- Reinforcement Learning in Robotics
- Natural Language Processing Techniques
-
- Image Enhancement Techniques
- Multimodal Machine Learning Applications
- Human Pose and Action Recognition
Papers in
-
- Domain Adaptation and Few-Shot Learning 5
- Topic Modeling 5
- Natural Language Processing Techniques 4
- Anomaly Detection Techniques and Applications 3
-
- Human Pose and Action Recognition 5
- Multimodal Machine Learning Applications 3
- Advanced Vision and Imaging 2
- Co-authors
- Asim Munawar (9 shared papers)Ryuki Tachibana (6 shared papers)Osamu Hasegawa (5 shared papers)Michiaki Tatsubori (9 shared papers)Don Joven Agravante (5 shared papers)Masahiro Iwahashi (2 shared papers)Taichi Yoshida (2 shared papers)Keiji Mori (1 shared paper)
- Journals
- Chemistry Letters (1 paper)Lecture notes in computer science (2 papers)JMIR Formative Research (1 paper)Human-Robot Interaction (1 paper)arXiv (Cornell University) (1 paper)
- Partner nations
- JapanUnited States
In The Last Decade
Daiki Kimura
22 papers receiving 146 citations
Peers
Comparison fields: 5 of 48
- Artificial Intelligence 89
- Computer Vision and Pattern Recognition 55
- Media Technology 13
- Pharmaceutical Science 8
- Signal Processing 12
Countries citing papers authored by Daiki Kimura
This map shows the geographic impact of Daiki Kimura'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 Daiki Kimura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daiki Kimura more than expected).
Fields of papers citing papers by Daiki Kimura
This network shows the impact of papers produced by Daiki Kimura. 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 Daiki Kimura. The network helps show where Daiki Kimura may publish in the future.
Co-authors
The 25 scholars most cited alongside Daiki Kimura, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 31 | |
| 2 | 2021 | 16 | |
| 3 | 2018 | 15 | |
| 4 | 2015 | 12 | |
| 5 | 2022 | 10 | |
| 6 | 2019 | 9 | |
| 7 | 2022 | 7 | |
| 8 | 2020 | 7 | |
| 9 | 2021 | 6 | |
| 10 | 2017 | 6 | |
| 11 | 2015 | 5 | |
| 12 | 2013 | 5 | |
| 13 | 2013 | 5 | |
| 14 | 2019 | 4 | |
| 15 | 2023 | 3 | |
| 16 | 2021 | 3 | |
| 17 | 2021 | 3 | |
| 18 | 2023 | 3 | |
| 19 | 2023 | 2 | |
| 20 | 2014 | 1 |
About Daiki Kimura
Daiki Kimura is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Control and Systems Engineering, Computational Mathematics and Instrumentation, having authored 27 papers that have together received 155 indexed citations. Recurring topics across this work include Domain Adaptation and Few-Shot Learning (5 papers), Topic Modeling (5 papers), Human Pose and Action Recognition (5 papers), Natural Language Processing Techniques (4 papers), Robot Manipulation and Learning (4 papers), Multimodal Machine Learning Applications (3 papers), Anomaly Detection Techniques and Applications (3 papers) and Advanced Vision and Imaging (2 papers). The work is most often cited by research in Artificial Intelligence (89 citations), Computer Vision and Pattern Recognition (55 citations), Media Technology (13 citations), Pharmaceutical Science (8 citations) and Signal Processing (12 citations). Daiki Kimura has collaborated with scholars based in Japan and United States. Frequent co-authors include Asim Munawar, Ryuki Tachibana, Osamu Hasegawa, Michiaki Tatsubori, Don Joven Agravante, Masahiro Iwahashi, Taichi Yoshida, Keiji Mori, Takao Sakai and Akihiro Oguro. Their work appears in journals such as Chemistry Letters, Lecture notes in computer science, JMIR Formative Research, Human-Robot Interaction and arXiv (Cornell University).
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.