Chun-Ju Su

1.7k citations
6 papers · 639 indexed · 1 hit paper · h-index 4

Impact in

Papers in

Chun-Ju Su

6 papers receiving 629 citations

Hit Papers

An on-skin platform for wireless monitoring of flow rate, cumulative loss and temperature of sweat in real time 2021 · 180 citations
180202120262022202450100150

Peers

Chun-Ju Su
Comparison fields: 5 of 76
  • Cellular and Molecular Neuroscience 212
  • Biomedical Engineering 491
  • Bioengineering 47
  • Polymers and Plastics 108
  • Cognitive Neuroscience 107
Replace Enji Kim with:
Enji Kim South Korea
Hongbo Yu China
Benjamin Grena United States
Hunkyu Seo South Korea
Yoonseok Park South Korea
Ying Yan United States
Won Gi Chung South Korea
Solomon Mikael United States
Aline F. Renz Switzerland
Rik Verplancke Belgium
Chun-Ju Su relative to Enji Kim South Korea Enji Kim's profile →
Citations per field
00.5×10×20×30×40.3×
Enji Kim · 1×
Citations per year

Countries citing papers authored by Chun-Ju Su

Since Specialization
Citations

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

Fields of papers citing papers by Chun-Ju Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chun-Ju Su. 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 Chun-Ju Su. The network helps show where Chun-Ju Su may publish in the future.

Co-authors

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

All Works

6 of 6 papers shown
#Work
1 20243
2
An on-skin platform for wireless monitoring of flow rate, cumulative loss and temperature of sweat in real time
Hit paper breakdown →
2021180
3 20201
4 2020142
5 2019152
6 2018161

About Chun-Ju Su

Chun-Ju Su is a scholar working on Bioengineering, Polymers and Plastics, Cellular and Molecular Neuroscience, Biomedical Engineering and Cognitive Neuroscience, having authored 6 papers that have together received 639 indexed citations. Recurring topics across this work include Advanced Sensor and Energy Harvesting Materials (3 papers), Photoreceptor and optogenetics research (2 papers), Conducting polymers and applications (2 papers), Neuroscience and Neural Engineering (2 papers), Molecular Communication and Nanonetworks (1 paper), Tactile and Sensory Interactions (1 paper), Modular Robots and Swarm Intelligence (1 paper) and Thermoregulation and physiological responses (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (212 citations), Biomedical Engineering (491 citations), Bioengineering (47 citations), Polymers and Plastics (108 citations) and Cognitive Neuroscience (107 citations). Chun-Ju Su has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Yonggang Huang, John A. Rogers, Siddharth Krishnan, Philipp Gutruf, Jungil Choi, Roozbeh Ghaffari, Stephen P. Lee, Yixin Wu, Jonathan T. Reeder and Emily A. Waters. Their work appears in journals such as Nature Electronics, Science Advances, Biosensors and Bioelectronics and Cineca Institutional Research Information System (Tor Vergata University).

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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