Junseok Chae

3.8k total citations
113 papers, 3.0k citations indexed

About

Junseok Chae is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Junseok Chae has authored 113 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Electrical and Electronic Engineering, 58 papers in Biomedical Engineering and 26 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Junseok Chae's work include Mechanical and Optical Resonators (26 papers), Advanced MEMS and NEMS Technologies (25 papers) and Acoustic Wave Resonator Technologies (19 papers). Junseok Chae is often cited by papers focused on Mechanical and Optical Resonators (26 papers), Advanced MEMS and NEMS Technologies (25 papers) and Acoustic Wave Resonator Technologies (19 papers). Junseok Chae collaborates with scholars based in United States, Canada and China. Junseok Chae's co-authors include Seokheun Choi, Hao Ren, K. Najafi, Hyung‐Sool Lee, Haluk Külah, Wencheng Xu, Pak Kin Wong, Michael Goryll, Bruce E. Rittmann and Helen N. Schwerdt and has published in prestigious journals such as SHILAP Revista de lepidopterología, Environmental Science & Technology and Applied Physics Letters.

In The Last Decade

Junseok Chae

110 papers receiving 2.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Junseok Chae United States 31 1.8k 1.5k 815 504 450 113 3.0k
Jinyong Wang China 24 1.2k 0.7× 980 0.7× 192 0.2× 333 0.7× 217 0.5× 70 3.3k
N. Sabaté Spain 31 1.8k 1.0× 1.1k 0.7× 229 0.3× 243 0.5× 112 0.2× 136 2.8k
Hongyan Gao China 23 1.2k 0.7× 839 0.6× 119 0.1× 433 0.9× 186 0.4× 55 2.3k
Qiuquan Guo Canada 31 913 0.5× 1.9k 1.3× 173 0.2× 350 0.7× 149 0.3× 115 3.4k
Hutomo Suryo Wasisto Germany 33 2.1k 1.2× 1.6k 1.1× 131 0.2× 357 0.7× 724 1.6× 181 3.3k
Peter Andersson Ersman Sweden 25 2.0k 1.1× 1.7k 1.2× 176 0.2× 194 0.4× 81 0.2× 83 3.5k
Matteo Cocuzza Italy 28 908 0.5× 1.2k 0.8× 49 0.1× 224 0.4× 142 0.3× 134 2.3k
Simone Luigi Marasso Italy 27 848 0.5× 1.1k 0.8× 52 0.1× 127 0.3× 193 0.4× 117 2.0k
Yiwei Liu China 37 1.4k 0.8× 1.9k 1.3× 30 0.0× 664 1.3× 394 0.9× 136 4.0k
Brahim Aïssa Qatar 29 1.2k 0.7× 982 0.7× 196 0.2× 524 1.0× 156 0.3× 177 3.4k

Countries citing papers authored by Junseok Chae

Since Specialization
Citations

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

Fields of papers citing papers by Junseok Chae

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junseok Chae

This figure shows the co-authorship network connecting the top 25 collaborators of Junseok Chae. A scholar is included among the top collaborators of Junseok Chae 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 Junseok Chae. Junseok Chae 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.
Ren, Hao, et al.. (2022). The Biological Memory Effect in Microbial Fuel Cell Biosensors. IEEE Sensors Journal. 22(18). 17698–17705. 2 indexed citations
2.
Migrino, Raymond Q., et al.. (2022). Passive and Flexible Wireless Electronics Fabricated on Parylene/PDMS Substrate for Stimulation of Human Stem Cell-Derived Cardiomyocytes. ACS Sensors. 7(11). 3287–3297. 4 indexed citations
3.
Chen, Ang, et al.. (2021). Wireless Wearable Ultrasound Sensor to Characterize Respiratory Behavior. Methods in molecular biology. 2393. 671–682.
4.
Chen, Ang, et al.. (2020). Machine-learning enabled wireless wearable sensors to study individuality of respiratory behaviors. Biosensors and Bioelectronics. 173. 112799–112799. 44 indexed citations
5.
Chae, Junseok, et al.. (2019). A wireless fully-passive acquisition of biopotentials. Biosensors and Bioelectronics. 139. 111336–111336. 11 indexed citations
6.
Dhar, Bipro Ranjan, Hodon Ryu, Hao Ren, et al.. (2017). Microbial activity influences electrical conductivity of biofilm anode. Water Research. 127. 230–238. 71 indexed citations
7.
Kiourti, Asimina, et al.. (2015). A Wireless Fully Passive Neural Recording Device for Unobtrusive Neuropotential Monitoring. IEEE Transactions on Biomedical Engineering. 63(1). 131–137. 58 indexed citations
8.
Ren, Hao, et al.. (2014). Improved current and power density with a micro-scale microbial fuel cell due to a small characteristic length. Biosensors and Bioelectronics. 61. 587–592. 57 indexed citations
9.
Wang, Wei, et al.. (2014). Detection of copper ions in drinking water using the competitive adsorption of proteins. Biosensors and Bioelectronics. 57. 179–185. 68 indexed citations
10.
Choi, Seokheun, Shuai Huang, Jing Li, & Junseok Chae. (2011). Monitoring protein distributions based on patterns generated by protein adsorption behavior in a microfluidic channel. Lab on a Chip. 11(21). 3681–3681. 14 indexed citations
11.
Choi, Seokheun, Hyung‐Sool Lee, Prathap Parameswaran, et al.. (2011). A μL-scale micromachined microbial fuel cell having high power density. Lab on a Chip. 11(6). 1110–1110. 121 indexed citations
12.
Choi, Seokheun, et al.. (2010). Microfluidic-based biosensors toward point-of-care detection of nucleic acids and proteins. Microfluidics and Nanofluidics. 10(2). 231–247. 208 indexed citations
13.
Kim, Jeong‐Hwan, et al.. (2009). Hearing Aid Sensitivity Optimization on Dual MEMS Microphones Using Nano-Electrodeposits. SHILAP Revista de lepidopterología. 1 indexed citations
14.
Choi, Seokheun & Junseok Chae. (2009). Reusable biosensors via in situ electrochemical surface regeneration in microfluidic applications. Biosensors and Bioelectronics. 25(2). 527–531. 30 indexed citations
15.
Choi, Seokheun & Junseok Chae. (2009). A microfluidic biosensor based on competitive protein adsorption for thyroglobulin detection. Biosensors and Bioelectronics. 25(1). 118–123. 42 indexed citations
16.
Farooqui, Muhammad Fahad, et al.. (2008). A miniature fully-passive microwave back-scattering device for short-range telemetry of neural potentials. PubMed. 2008. 129–132. 8 indexed citations
17.
Choi, Seokheun, et al.. (2008). Surface plasmon resonance protein sensor using Vroman effect. Biosensors and Bioelectronics. 24(4). 893–899. 50 indexed citations
18.
Stark, B.H., et al.. (2005). A High-Perfiwmance Surface-Micromachined Pirani Gauge in SUMMIT FM. 295–298. 9 indexed citations
19.
Külah, Haluk, Junseok Chae, & K. Najafi. (2004). Noise analysis and characterization of a sigma-delta capacitive silicon microaccelerometer. OpenMETU (Middle East Technical University). 1. 95–98. 15 indexed citations
20.
Chae, Junseok, Haluk Külah, & K. Najafi. (2003). A hybrid Silicon-On-Glass (SOG) lateral micro-accelerometer with CMOS readout circuitry. 623–626. 37 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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