Kuan‐Ting Chen

1.2k citations
59 papers · 960 · h-index 17

Impact in

Papers in

Kuan‐Ting Chen

57 papers receiving 938 citations

Peers

Kuan‐Ting Chen
Comparison fields: 5 of 81
  • Electrical and Electronic Engineering 694
  • Cellular and Molecular Neuroscience 118
  • Polymers and Plastics 92
  • Materials Chemistry 294
  • Electronic, Optical and Magnetic Materials 105
Replace Eoin K. McCarthy with:
Eoin K. McCarthy Ireland
Hanyan Wu China
Madoka Hasegawa France
Minghui Ding China
Hong‐Jin Park South Korea
Tamador Alkhidir United Arab Emirates
Jun‐Hwe Cha South Korea
Wenrui Zhao China
Kuan‐Ting Chen relative to Eoin K. McCarthy Ireland Eoin K. McCarthy's profile →
Citations per field
00.5×1.5×2×2.3×
Eoin K. McCarthy · 1×
Citations per year

Countries citing papers authored by Kuan‐Ting Chen

Since Specialization
Citations

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

Fields of papers citing papers by Kuan‐Ting Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kuan‐Ting Chen. 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 Kuan‐Ting Chen. The network helps show where Kuan‐Ting Chen may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019142
2 201484
3 201481
4 202267
5 202160
6 202352
7 201250
8 201340
9 202228
10 201428
11 202324
12 201323
13 201322
14 201321
15 202318
16 201518
17 201617
18 201616
19 201416
20 201815

About Kuan‐Ting Chen

Kuan‐Ting Chen is a scholar working on Electrical and Electronic Engineering, Cellular and Molecular Neuroscience, Materials Chemistry, Electronic, Optical and Magnetic Materials and Polymers and Plastics, having authored 59 papers that have together received 960 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (21 papers), Neuroscience and Neural Engineering (10 papers), Ferroelectric and Negative Capacitance Devices (8 papers), 2D Materials and Applications (7 papers), MXene and MAX Phase Materials (6 papers), Semiconductor materials and devices (6 papers), Neural dynamics and brain function (5 papers) and Advancements in Semiconductor Devices and Circuit Design (5 papers). The work is most often cited by research in Electrical and Electronic Engineering (694 citations), Cellular and Molecular Neuroscience (118 citations), Polymers and Plastics (92 citations), Materials Chemistry (294 citations) and Electronic, Optical and Magnetic Materials (105 citations). Kuan‐Ting Chen has collaborated with scholars based in Taiwan, India and United States. Frequent co-authors include Jen‐Sue Chen, Hsing‐Yu Tuan, Wei‐Chung Chang, Rajneesh Chaurasiya, Shu-Tong Chang, Ru‐Yuan Yang, Shun‐Wei Liu, I‐Ming Jou, Ping‐Yen Liu and Chih-Hao Yang. Their work appears in journals such as Journal of Nanoscience and Nanotechnology, Advanced Functional Materials, ACS Applied Materials & Interfaces, Materials Letters and Advanced Science.

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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