Kasidit Toprasertpong

2.4k citations
182 papers · 1.7k indexed · h-index 18

Kasidit Toprasertpong

161 papers receiving 1.7k citations

Peers

Kasidit Toprasertpong
Comparison fields: 5 of 41
  • Electrical and Electronic Engineering 1.6k
  • Atomic and Molecular Physics, and Optics 418
  • Materials Chemistry 496
  • Artificial Intelligence 340
  • Biomedical Engineering 221
Replace Anyuan Gao with:
Anyuan Gao China
Kirsten E. Moselund Switzerland
Jae‐Hoon Han South Korea
Sajjad Moazeni United States
Rubab Amin United States
Saumil Bandyopadhyay United States
Mirko Fraschke Germany
Minkyung Jung South Korea
Andrea Fasoli United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Kasidit Toprasertpong

Since Specialization
Citations

This map shows the geographic impact of Kasidit Toprasertpong'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 Kasidit Toprasertpong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kasidit Toprasertpong more than expected).

Fields of papers citing papers by Kasidit Toprasertpong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kasidit Toprasertpong. 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 Kasidit Toprasertpong. The network helps show where Kasidit Toprasertpong may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Kasidit Toprasertpong, 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 Kasidit Toprasertpong Line = papers co-authored together Kasidit Toprasertpong links everyone, so they are left out of the graph.

All Works

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Strategy Toward HZO BEOL-FeRAM with Low-Voltage Operation (≤ 1.2 V), Low Process Temperature, and High Endurance by Thickness Scaling
202113
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Energy-Efficient Reliable HZO FeFET Computation-in-Memory with Local Multiply & Global Accumulate Array for Source-Follower & Charge-Sharing Voltage Sensing
20213

About Kasidit Toprasertpong

Kasidit Toprasertpong is a scholar working on Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics and Artificial Intelligence, having authored 182 papers that have together received 1.7k indexed citations. Recurring topics across this work include Semiconductor materials and devices (71 papers), Ferroelectric and Negative Capacitance Devices (53 papers), Photonic and Optical Devices (45 papers), Advanced Memory and Neural Computing (44 papers), Advancements in Semiconductor Devices and Circuit Design (42 papers), Semiconductor Quantum Structures and Devices (40 papers), Neural Networks and Reservoir Computing (35 papers) and solar cell performance optimization (26 papers). The work is most often cited by research in Electrical and Electronic Engineering (1.6k citations), Atomic and Molecular Physics, and Optics (418 citations) and Materials Chemistry (496 citations). Kasidit Toprasertpong has collaborated with scholars based in Japan, United States and France. Frequent co-authors include Mitsuru Takenaka, Shinichi Takagi, Yoshiaki Nakano, Masakazu Sugiyama, Kentaroh Watanabe, Hiromasa Fujii, Ryosho Nakane, Shinichi Takagi, Rui Tang and Takashi Tsuchiya. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología and Applied Physics Letters.

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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