Shoue Chen

1.5k citations
17 papers · 1.1k · 1 hit paper · h-index 13

Impact in

Papers in

Shoue Chen

16 papers receiving 1.1k citations

Shoue Chen's Hit Papers

Skin-inspired textile-based tactile sensors enable multifunctional sensing of wearables and soft robots 2022 · 217 citations
2170+1+2Years since publication50100150200

Peers

Shoue Chen
Comparison fields: 5 of 98
  • Biomedical Engineering 886
  • Polymers and Plastics 265
  • Condensed Matter Physics 115
  • Cognitive Neuroscience 191
  • Mechanical Engineering 313
Replace Chaoran Liu with:
Chaoran Liu China
Rong Yin China
Guoqing Jin China
Huayong Yang China
Zhenhua Wu China
Muhammad Muqeet Rehman South Korea
Skylar Tibbits United States
Yuhang Du China
Danli Luo United States
Humphrey Yang United States
Shoue Chen relative to Chaoran Liu China Chaoran Liu's profile →
Citations per field
00.5×3.8×
Chaoran Liu · 1×
Citations per year

Countries citing papers authored by Shoue Chen

Since Specialization
Citations

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

Fields of papers citing papers by Shoue Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1
Skin-inspired textile-based tactile sensors enable multifunctional sensing of wearables and soft robots
Hit paper breakdown →
2022217
2 2020212
3 2019186
4 202396
5 201996
6 202072
7 202066
8 202064
9 202147
10 202326
11 201620
12 202014
13 202213
14 201710
15 20178
16 20203
17 20200

About Shoue Chen

Shoue Chen is a scholar working on Biomedical Engineering, Polymers and Plastics, Mechanical Engineering, Civil and Structural Engineering and Cognitive Neuroscience, having authored 17 papers that have together received 1.1k indexed citations. Recurring topics across this work include Advanced Sensor and Energy Harvesting Materials (14 papers), Conducting polymers and applications (6 papers), Dielectric materials and actuators (5 papers), Advanced Materials and Mechanics (3 papers), Soft Robotics and Applications (3 papers), Vibration Control and Rheological Fluids (3 papers), Tactile and Sensory Interactions (3 papers) and Innovative Energy Harvesting Technologies (1 paper). The work is most often cited by research in Biomedical Engineering (886 citations), Polymers and Plastics (265 citations), Condensed Matter Physics (115 citations), Cognitive Neuroscience (191 citations) and Mechanical Engineering (313 citations). Shoue Chen has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Changyong Cao, Yaokun Pang, Xiaobo Tan, Zhong Lin Wang, Bahar Aliakbarian, Jonathon Mackay, Sandrayee Brahma, Hongyan Yuan, Yunteng Cao and Yiming Deng. Their work appears in journals such as Advanced Materials Technologies, Smart Materials and Structures, Advanced Functional Materials, Nano Energy and Journal of Applied Polymer 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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