Kevin Tien

1.2k citations
17 papers · 921 indexed · 1 hit paper · h-index 9

Kevin Tien

16 papers receiving 901 citations

Hit Papers

A skin-inspired organic digital mechanoreceptor7462015202620182022200400600

Peers

Kevin Tien
Comparison fields: 5 of 54
  • Polymers and Plastics 271
  • Cognitive Neuroscience 277
  • Biomedical Engineering 621
  • Cellular and Molecular Neuroscience 163
  • Electrical and Electronic Engineering 469
Replace Srinivas Gandla with:
Srinivas Gandla South Korea
Rebecca Ho United States
Luigi Pinna Italy
Seung Won Lee South Korea
Joon‐Kyu Han South Korea
Jagan Singh Meena Taiwan
Sanghyun Heo South Korea
Wakako Yukita Japan
Taemin Lee South Korea
Jinsu Yoon South Korea
Kevin Tien relative to Srinivas Gandla South Korea Srinivas Gandla's profile →
Citations per field
00.5×10×15×18×
Srinivas Gandla · 1×
Citations per year

Countries citing papers authored by Kevin Tien

Since Specialization
Citations

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

Fields of papers citing papers by Kevin Tien

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

17 of 17 papers shown
#Work
1 20250
2 20241
3 20232
4 20234
5 202211
6 20226
7 20228
8 202215
9 202134
10 20201
11 20196
12 20198
13 201732
14 201627
15
A skin-inspired organic digital mechanoreceptorbreakdown →
2015746
16 201514
17 20156

About Kevin Tien

Kevin Tien is a scholar working on Hardware and Architecture, Electrical and Electronic Engineering and Biophysics, having authored 17 papers that have together received 921 indexed citations. Recurring topics across this work include Advancements in Semiconductor Devices and Circuit Design (5 papers), Quantum and electron transport phenomena (4 papers), Semiconductor materials and devices (4 papers), CCD and CMOS Imaging Sensors (3 papers), Embedded Systems Design Techniques (2 papers), Thin-Film Transistor Technologies (2 papers), Radio Frequency Integrated Circuit Design (2 papers) and Interconnection Networks and Systems (2 papers). The work is most often cited by research in Polymers and Plastics (271 citations), Cognitive Neuroscience (277 citations) and Biomedical Engineering (621 citations). Kevin Tien has collaborated with scholars based in United States, Netherlands and South Korea. Frequent co-authors include P. Mei, A. Berndt, Ziliang Lin, Allister F. McGuire, Tse Nga Ng, Ho‐Hsiu Chou, Bianxiao Cui, Benjamin C. K. Tee, Karl Deisseroth and Zhenan Bao. Their work appears in journals such as Science, IEEE Journal of Solid-State Circuits and IEEE Transactions on Biomedical Circuits and 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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