Jun Chen

67.2k citations
821 papers · 58.0k · 61 hit papers · h-index 128

Impact in

    • Conducting polymers and applications
    • Advanced Sensor and Energy Harvesting Materials
    • Dielectric materials and actuators
    • Muscle activation and electromyography studies

Papers in

Jun Chen

766 papers receiving 57.1k citations

Jun Chen's Hit Papers

Advances in conducting nanocomposite hydrogels for wearable biomonitoring 2025 · 108 citations
1080+1+2Years since publication2505007501000

Peers

Jun Chen
Comparison fields: 5 of 218
  • Polymers and Plastics 22.6k
  • Biomedical Engineering 39.3k
  • Cognitive Neuroscience 9.1k
  • Electronic, Optical and Magnetic Materials 8.2k
  • Mechanical Engineering 10.1k
Replace Dae‐Hyeong Kim with:
Dae‐Hyeong Kim South Korea
Sang-Woo Kim South Korea
John Allen Rogers United States
Ya Feng Yang China
Xiaodong Chen Singapore
Chuntai Liu China
Yonggang Y. Huang United States
Takao Someya Japan
John A. Rogers United States
Chengkuo Lee Singapore
Jun Chen relative to Dae‐Hyeong Kim South Korea Dae‐Hyeong Kim's profile →
Citations per field
00.5×2×2.9×
Dae‐Hyeong Kim · 1×
Citations per year

Countries citing papers authored by Jun Chen

Since Specialization
Citations

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

Fields of papers citing papers by Jun Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 821 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Progress in triboelectric nanogenerators as a new energy technology and self-powered sensors
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20151943
2
Ultrathin, flexible, solid polymer composite electrolyte enabled with aligned nanoporous host for lithium batteries
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20191088
3
Technology Roadmap for Flexible Sensors
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20231079
4
Smart Textiles for Electricity Generation
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2020845
5
Wearable Pressure Sensors for Pulse Wave Monitoring
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2022759
6
Sign-to-speech translation using machine-learning-assisted stretchable sensor arrays
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2020746
7
Harmonic‐Resonator‐Based Triboelectric Nanogenerator as a Sustainable Power Source and a Self‐Powered Active Vibration Sensor
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2013744
8
Human Skin Based Triboelectric Nanogenerators for Harvesting Biomechanical Energy and as Self-Powered Active Tactile Sensor System
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2013743
9
Triboelectric nanogenerators as a new energy technology: From fundamentals, devices, to applications
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2014686
10
Smart textiles for personalized healthcare
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2022651
11
Electronic Textiles for Wearable Point-of-Care Systems
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2021597
12
Triboelectric Nanogenerator for Harvesting Wind Energy and as Self-Powered Wind Vector Sensor System
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2013582
13
Networks of Triboelectric Nanogenerators for Harvesting Water Wave Energy: A Potential Approach toward Blue Energy
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2015580
14
Integrated Multilayered Triboelectric Nanogenerator for Harvesting Biomechanical Energy from Human Motions
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2013573
15
Single-Electrode-Based Sliding Triboelectric Nanogenerator for Self-Powered Displacement Vector Sensor System
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2013570
16
Spectrally Selective Nanocomposite Textile for Outdoor Personal Cooling
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2018568
17
Eardrum‐Inspired Active Sensors for Self‐Powered Cardiovascular System Characterization and Throat‐Attached Anti‐Interference Voice Recognition
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2015556
18
Nanoporous polyethylene microfibres for large-scale radiative cooling fabric
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2018541
19
Harvesting Water Wave Energy by Asymmetric Screening of Electrostatic Charges on a Nanostructured Hydrophobic Thin-Film Surface
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2014515
20
Recent Advances in Triboelectric Nanogenerators: From Technological Progress to Commercial Applications
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2023490

About Jun Chen

Jun Chen is a scholar working on Polymers and Plastics, Biomedical Engineering, Mechanical Engineering, Electrical and Electronic Engineering and Cognitive Neuroscience, having authored 821 papers that have together received 58.0k indexed citations. Recurring topics across this work include Advanced Sensor and Energy Harvesting Materials (267 papers), Conducting polymers and applications (141 papers), Tactile and Sensory Interactions (61 papers), Innovative Energy Harvesting Technologies (60 papers), Supercapacitor Materials and Fabrication (51 papers), Gas Sensing Nanomaterials and Sensors (42 papers), Advancements in Battery Materials (30 papers) and Muscle activation and electromyography studies (18 papers). The work is most often cited by research in Polymers and Plastics (22.6k citations), Biomedical Engineering (39.3k citations), Cognitive Neuroscience (9.1k citations), Electronic, Optical and Magnetic Materials (8.2k citations) and Mechanical Engineering (10.1k citations). Jun Chen has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Zhong Lin Wang, Guorui Chen, Guang Zhu, Qingshen Jing, Xiao Xiao, Peng Bai, Xun Zhao, Yuanjie Su, Jin Yang and Yihao Zhou. Their work appears in journals such as ACS Nano, Advanced Materials, Nano Energy, Advanced Functional Materials and Matter.

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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