Cheong Hoon Kwon

1.8k total citations
58 papers, 1.5k citations indexed

About

Cheong Hoon Kwon is a scholar working on Biomedical Engineering, Electrical and Electronic Engineering and Polymers and Plastics. According to data from OpenAlex, Cheong Hoon Kwon has authored 58 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Biomedical Engineering, 23 papers in Electrical and Electronic Engineering and 22 papers in Polymers and Plastics. Recurrent topics in Cheong Hoon Kwon's work include Conducting polymers and applications (22 papers), Advanced Sensor and Energy Harvesting Materials (18 papers) and Electrochemical sensors and biosensors (14 papers). Cheong Hoon Kwon is often cited by papers focused on Conducting polymers and applications (22 papers), Advanced Sensor and Energy Harvesting Materials (18 papers) and Electrochemical sensors and biosensors (14 papers). Cheong Hoon Kwon collaborates with scholars based in South Korea, United States and Japan. Cheong Hoon Kwon's co-authors include Jinhan Cho, Yongmin Ko, Seung Woo Lee, Seon Jeong Kim, Ray H. Baughman, Márcio D. Lima, Shi Hyeong Kim, Seokmin Lee, Geoffrey M. Spinks and Jeong Won Kang and has published in prestigious journals such as Advanced Materials, Nature Communications and ACS Nano.

In The Last Decade

Cheong Hoon Kwon

56 papers receiving 1.5k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Cheong Hoon Kwon South Korea 21 843 495 456 324 293 58 1.5k
Wilfrid Néri France 21 709 0.8× 330 0.7× 304 0.7× 292 0.9× 252 0.9× 46 1.3k
Magnus Hummelgård Sweden 26 923 1.1× 584 1.2× 465 1.0× 343 1.1× 152 0.5× 59 1.6k
Arash Takshi United States 19 972 1.2× 677 1.4× 474 1.0× 359 1.1× 377 1.3× 94 2.0k
Dashen Dong Australia 21 1.2k 1.4× 616 1.2× 655 1.4× 378 1.2× 123 0.4× 36 1.6k
Yinxiang Lu China 25 655 0.8× 580 1.2× 513 1.1× 828 2.6× 142 0.5× 88 1.7k
Sungjune Park South Korea 23 927 1.1× 659 1.3× 357 0.8× 221 0.7× 331 1.1× 80 1.6k
Jinyang Zhang China 20 598 0.7× 530 1.1× 386 0.8× 396 1.2× 119 0.4× 50 1.4k
Feng Jiang China 27 618 0.7× 974 2.0× 362 0.8× 151 0.5× 434 1.5× 83 1.9k
Peng He United States 23 971 1.2× 254 0.5× 643 1.4× 246 0.8× 313 1.1× 60 1.9k
Şahin Coşkun Türkiye 20 1.1k 1.3× 860 1.7× 420 0.9× 487 1.5× 82 0.3× 35 1.7k

Countries citing papers authored by Cheong Hoon Kwon

Since Specialization
Citations

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

Fields of papers citing papers by Cheong Hoon Kwon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cheong Hoon Kwon. 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 Cheong Hoon Kwon. The network helps show where Cheong Hoon Kwon may publish in the future.

Co-authorship network of co-authors of Cheong Hoon Kwon

This figure shows the co-authorship network connecting the top 25 collaborators of Cheong Hoon Kwon. A scholar is included among the top collaborators of Cheong Hoon Kwon based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Cheong Hoon Kwon. Cheong Hoon Kwon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
Kwon, Cheong Hoon, et al.. (2023). Influence of condenser bypass port area on maximum thermal load of heat pipe. International Communications in Heat and Mass Transfer. 148. 107006–107006. 3 indexed citations
3.
4.
Song, Yongkwon, Minseong Kwon, Cheong Hoon Kwon, et al.. (2023). Carbon Nanocluster‐Mediated Nanoblending Assembly for Binder‐Free Energy Storage Electrodes with High Capacities and Enhanced Charge Transfer Kinetics. Advanced Science. 10(22). e2301248–e2301248. 7 indexed citations
5.
Kwon, Cheong Hoon, et al.. (2023). An experimental investigation on the influence of condenser bypass area for the transient and steady-state heat-transfer performance of heat pipes. International Communications in Heat and Mass Transfer. 148. 107057–107057. 8 indexed citations
6.
Kwon, Cheong Hoon, Minseong Kwon, Yongkwon Song, et al.. (2022). High-performance hybrid biofuel cells using amphiphilic assembly based enzyme electrodes. Applied Physics Reviews. 9(2). 9 indexed citations
7.
8.
Ko, Yongmin, Seokmin Lee, Seokmin Lee, et al.. (2021). Interfacial Design and Assembly for Flexible Energy Electrodes with Highly Efficient Energy Harvesting, Conversion, and Storage. Advanced Energy Materials. 11(27). 30 indexed citations
9.
Lee, Seokmin, Yongkwon Song, Yongmin Ko, et al.. (2020). Conductive Elastomers: A Metal‐Like Conductive Elastomer with a Hierarchical Wrinkled Structure (Adv. Mater. 7/2020). Advanced Materials. 32(7). 3 indexed citations
10.
Kwon, Cheong Hoon, et al.. (2018). Stitchable supercapacitors with high energy density and high rate capability using metal nanoparticle-assembled cotton threads. Journal of Materials Chemistry A. 6(41). 20421–20432. 22 indexed citations
11.
Kwon, Cheong Hoon, Yongmin Ko, Minseong Kwon, et al.. (2018). High-power hybrid biofuel cells using layer-by-layer assembled glucose oxidase-coated metallic cotton fibers. Nature Communications. 9(1). 4479–4479. 159 indexed citations
12.
Kim, Dong Hee, et al.. (2017). Hydrophobic and hydrophilic nanosheet catalysts with high catalytic activity and recycling stability through control of the outermost ligand. Applied Surface Science. 436. 791–802. 4 indexed citations
13.
Kwon, Cheong Hoon, Chang-Sun Lee, Márcio D. Lima, et al.. (2016). Bio-inspired Hybrid Carbon Nanotube Muscles. Scientific Reports. 6(1). 26687–26687. 35 indexed citations
14.
Lee, Jung-Han, et al.. (2016). Carbon Nanotube Yarn‐Based Glucose Sensing Artificial Muscle. Small. 12(15). 2085–2091. 46 indexed citations
15.
Kwon, Cheong Hoon, Jae Ah Lee, Hyug-Han Kim, et al.. (2015). Stability of carbon nanotube yarn biofuel cell in human body fluid. Journal of Power Sources. 286. 103–108. 20 indexed citations
16.
Kwon, Cheong Hoon, Kyoung-Yong Chun, Shi Hyeong Kim, et al.. (2014). Torsional behaviors of polymer-infiltrated carbon nanotube yarn muscles studied with atomic force microscopy. Nanoscale. 7(6). 2489–2496. 21 indexed citations
17.
Kwon, Cheong Hoon, Sungho Lee, Jae Ah Lee, et al.. (2014). High-power biofuel cell textiles from woven biscrolled carbon nanotube yarns. Nature Communications. 5(1). 3928–3928. 147 indexed citations
18.
Shin, Ho Jin, Ji Won Lee, Cheong Hoon Kwon, et al.. (2011). Electrocatalytic characteristics of electrodes based on ferritin/carbon nanotube composites for biofuel cells. Sensors and Actuators B Chemical. 160(1). 384–388. 8 indexed citations
19.
Kwon, Cheong Hoon, et al.. (2007). Molecular Dynamics Simulation Study of Lipase-catalyzed Esterification of Structural Butanol Isomers in Supercritical Carbon Dioxide. Applied Chemistry for Engineering. 18(6). 643–649. 1 indexed citations
20.
Kwon, Cheong Hoon, et al.. (2007). Vapor−Liquid Equilibrium for Carbon Dioxide + Isopropyl, Isobutyl, and Isoamyl Acetates. Journal of Chemical & Engineering Data. 52(3). 727–730. 9 indexed citations

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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