Kyle Chen

1.8k citations
13 papers · 1.6k indexed · 1 hit paper · h-index 10

Impact in

Papers in

Kyle Chen

13 papers receiving 1.5k citations

Hit Papers

Sign-to-speech translation using machine-learning-assisted stretchable sensor arrays 2020 · 700 citations
7002020202620222024200400600

Peers

Kyle Chen
Comparison fields: 5 of 92
  • Polymers and Plastics 585
  • Biomedical Engineering 1.1k
  • Human-Computer Interaction 133
  • Cognitive Neuroscience 376
  • Electronic, Optical and Magnetic Materials 230
Replace Youdi Liu with:
Youdi Liu China
Ardo Nashalian United States
Ziya Wang China
Aniruddha Patil China
Zi Hao Guo China
Qiuna Zhuang Hong Kong
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Kyle Chen relative to Youdi Liu China Youdi Liu's profile →
Citations per field
00.5×1.5×2.5×
Youdi Liu · 1×
Citations per year

Countries citing papers authored by Kyle Chen

Since Specialization
Citations

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

Fields of papers citing papers by Kyle Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1
Sign-to-speech translation using machine-learning-assisted stretchable sensor arrays
Hit paper breakdown →
2020700
2 2020224
3 2020217
4 2021183
5 202071
6 202071
7 202132
8 202021
9 201316
10 202111
11 20223
12 20241
13 20231

About Kyle Chen

Kyle Chen is a scholar working on Polymers and Plastics, Virology, Biomedical Engineering, Human-Computer Interaction and Catalysis, having authored 13 papers that have together received 1.6k indexed citations. Recurring topics across this work include Advanced Sensor and Energy Harvesting Materials (7 papers), Conducting polymers and applications (3 papers), Gas Sensing Nanomaterials and Sensors (2 papers), Biosensors and Analytical Detection (2 papers), Crime, Deviance, and Social Control (1 paper), Advanced biosensing and bioanalysis techniques (1 paper), Advanced Materials and Mechanics (1 paper) and Hand Gesture Recognition Systems (1 paper). The work is most often cited by research in Polymers and Plastics (585 citations), Biomedical Engineering (1.1k citations), Human-Computer Interaction (133 citations), Cognitive Neuroscience (376 citations) and Electronic, Optical and Magnetic Materials (230 citations). Kyle Chen has collaborated with scholars based in United States, China and Italy. Frequent co-authors include Jun Chen, Songlin Zhang, Yihao Zhou, Jing Xu, Yongjiu Zou, Zhiwei Lin, Jin Yang, Keyu Meng, Chenchen Sun and Endong Fan. Their work appears in journals such as Advanced Materials Technologies, Cell Reports Physical Science, Nanomaterials, IEEE Sensors Journal and Nature Electronics.

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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