M. Tai
Impact in
- Automotive Engineering top 10%
- Vehicle Dynamics and Control Systems
-
- Transition Metal Oxide Nanomaterials
Papers in
-
- Vehicle Dynamics and Control Systems 6
-
- Advanced Memory and Neural Computing 9
- Chalcogenide Semiconductor Thin Films 6
- Thin-Film Transistor Technologies 6
- Silicon and Solar Cell Technologies 4
- Co-authors
- Masayoshi TomizukaN. TakauraTakasumi OhyanagiTakahiro MorikawaM. KinoshitaMutsuko HatanoTakeshi NodaT. Shiba
- Journals
- Japanese Journal of Applied Physics (4 papers)International Journal of Environmental Research and Public Health (1 paper)IEEE Transactions on Electron Devices (1 paper)Pattern Recognition (1 paper)International Journal of Heavy Vehicle Systems (1 paper)
- Partner nations
- JapanUnited StatesSouth Korea
In The Last Decade
M. Tai
38 papers receiving 318 citations
Peers
Comparison fields: 5 of 50
- Automotive Engineering 73
- Polymers and Plastics 57
- Electrical and Electronic Engineering 213
- Materials Chemistry 146
- Control and Systems Engineering 71
Countries citing papers authored by M. Tai
This map shows the geographic impact of M. Tai'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 M. Tai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Tai more than expected).
Fields of papers citing papers by M. Tai
This network shows the impact of papers produced by M. Tai. 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 M. Tai. The network helps show where M. Tai may publish in the future.
Co-authorship network
The 25 scholars most cited alongside M. Tai, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2020 | 2 | |
| 4 | Optical Implementation of Reservoir Computing for Fast Integrative Analysis in Sensor Array Processing | 2017 | 2 |
| 5 | 2016 | 5 | |
| 6 | 2015 | 4 | |
| 7 | 2015 | 4 | |
| 8 | 2014 | 12 | |
| 9 | 2013 | 19 | |
| 10 | 2012 | 30 | |
| 11 | Phase-change memoy driven by poly-Si transistor enabling three-dimensional stacking | 2011 | 1 |
| 12 | Phase-change memory driven by poly-Si MOS transistor with low cost and high-programming gigabyte-per-second throughput | 2011 | 12 |
| 13 | 2007 | 1 | |
| 14 | 2006 | 1 | |
| 15 | 2004 | 45 | |
| 16 | 2004 | 40 | |
| 17 | 2003 | 3 | |
| 18 | 1999 | 4 | |
| 19 | 1999 | 8 | |
| 20 | Lateral Control Of Heavy Duty Vehicles For Automated Highway Systems | 1998 | 4 |
About M. Tai
M. Tai is a scholar working on Automotive Engineering, Electrical and Electronic Engineering, Polymers and Plastics, Materials Chemistry and Fluid Flow and Transfer Processes, having authored 40 papers that have together received 340 indexed citations. Recurring topics across this work include Phase-change materials and chalcogenides (16 papers), Advanced Memory and Neural Computing (9 papers), Vehicle Dynamics and Control Systems (6 papers), Chalcogenide Semiconductor Thin Films (6 papers), Thin-Film Transistor Technologies (6 papers), Real-time simulation and control systems (5 papers), Transition Metal Oxide Nanomaterials (5 papers) and Silicon and Solar Cell Technologies (4 papers). The work is most often cited by research in Automotive Engineering (73 citations), Polymers and Plastics (57 citations), Electrical and Electronic Engineering (213 citations), Materials Chemistry (146 citations) and Control and Systems Engineering (71 citations). M. Tai has collaborated with scholars based in Japan, United States and South Korea. Frequent co-authors include Masayoshi Tomizuka, N. Takaura, Takasumi Ohyanagi, Takahiro Morikawa, M. Kinoshita, Mutsuko Hatano, Takeshi Noda, T. Shiba, M. Ohkura and Masaaki Araidai. Their work appears in journals such as Japanese Journal of Applied Physics, International Journal of Environmental Research and Public Health, IEEE Transactions on Electron Devices, Pattern Recognition and International Journal of Heavy Vehicle Systems.
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.