M. Tai

675 citations
40 papers · 340 · h-index 11

Impact in

Papers in

M. Tai

38 papers receiving 318 citations

Peers

M. Tai
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
Replace Sungmoon Joo with:
Sungmoon Joo South Korea
Yong-Su Park South Korea
Zhihao Li China
Junseok Kim South Korea
Ciprian Ionescu Romania
Chun‐Yu Hsieh Taiwan
Lun Wang China
Man Wang China
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Xiangdong Meng China
M. Tai relative to Sungmoon Joo South Korea Sungmoon Joo's profile →
Citations per field
00.5×1.5×2.3×
Sungmoon Joo · 1×
Citations per year

Countries citing papers authored by M. Tai

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

Border = papers with M. Tai Line = papers co-authored together M. Tai links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200445
2 200440
3 201230
4 200030
5 201321
6 201319
7 201214
8
Phase-change memory driven by poly-Si MOS transistor with low cost and high-programming gigabyte-per-second throughput
201112
9 201412
10 201412
11
Charge injection Super-lattice Phase Change Memory for low power and high density storage device applications
201311
12 20039
13 20199
14 19998
15 20157
16 20165
17 20225
18
Lateral Control Of Heavy Duty Vehicles For Automated Highway Systems
19984
19 20154
20 20154

About M. Tai

M. Tai is a scholar working on Electrical and Electronic Engineering, Materials Chemistry, Automotive Engineering, Control and Systems Engineering and Atomic and Molecular Physics, and Optics, 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), Thin-Film Transistor Technologies (6 papers), Chalcogenide Semiconductor Thin Films (6 papers), Transition Metal Oxide Nanomaterials (5 papers), Real-time simulation and control systems (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, Takasumi Ohyanagi, Takahiro Morikawa, N. Takaura, M. Kinoshita, Mutsuko Hatano, M. Ohkura, T. Shiba, Takeshi Noda 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.

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