Jaegeol Cho

1.3k total citations
34 papers, 909 citations indexed

About

Jaegeol Cho is a scholar working on Biomedical Engineering, Cardiology and Cardiovascular Medicine and Electrical and Electronic Engineering. According to data from OpenAlex, Jaegeol Cho has authored 34 papers receiving a total of 909 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Biomedical Engineering, 9 papers in Cardiology and Cardiovascular Medicine and 9 papers in Electrical and Electronic Engineering. Recurrent topics in Jaegeol Cho's work include Non-Invasive Vital Sign Monitoring (9 papers), Heart Rate Variability and Autonomic Control (8 papers) and Speech and Audio Processing (4 papers). Jaegeol Cho is often cited by papers focused on Non-Invasive Vital Sign Monitoring (9 papers), Heart Rate Variability and Autonomic Control (8 papers) and Speech and Audio Processing (4 papers). Jaegeol Cho collaborates with scholars based in South Korea, United States and Russia. Jaegeol Cho's co-authors include Hyun Jae Baek, Desok Kim, Chul-Ho Cho, Lizawati Salahuddin, Jong‐Min Woo, Hang‐Sik Shin, JaeWook Shin, S. Subba Reddy, Dong‐Min Kim and Yoon‐Bo Shim and has published in prestigious journals such as Analytical Chemistry, The FASEB Journal and International Journal of Heat and Mass Transfer.

In The Last Decade

Jaegeol Cho

34 papers receiving 867 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jaegeol Cho South Korea 14 423 322 163 161 144 34 909
Brinnae Bent United States 15 350 0.8× 525 1.6× 85 0.5× 100 0.6× 148 1.0× 30 1.3k
Nataša Reljin United States 16 253 0.6× 477 1.5× 66 0.4× 92 0.6× 141 1.0× 39 846
Christian Tronstad Norway 17 182 0.4× 250 0.8× 96 0.6× 125 0.8× 233 1.6× 61 810
Juan Mata Pavia Switzerland 8 273 0.6× 809 2.5× 50 0.3× 153 1.0× 471 3.3× 14 1.8k
Matthias Frühwirth Austria 17 226 0.5× 182 0.6× 126 0.8× 24 0.1× 152 1.1× 28 712
John P. Florian United States 17 411 1.0× 339 1.1× 111 0.7× 19 0.1× 211 1.5× 46 805
Duarte Dias Portugal 7 197 0.5× 339 1.1× 38 0.2× 70 0.4× 81 0.6× 23 746
Jari Viik Finland 25 1.1k 2.5× 497 1.5× 48 0.3× 101 0.6× 61 0.4× 121 1.7k
Raphael Zimmermann Switzerland 7 291 0.7× 789 2.5× 54 0.3× 42 0.3× 556 3.9× 9 1.6k
Ryan S. McGinnis United States 25 60 0.1× 713 2.2× 131 0.8× 83 0.5× 97 0.7× 93 1.7k

Countries citing papers authored by Jaegeol Cho

Since Specialization
Citations

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

Fields of papers citing papers by Jaegeol Cho

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jaegeol Cho

This figure shows the co-authorship network connecting the top 25 collaborators of Jaegeol Cho. A scholar is included among the top collaborators of Jaegeol Cho 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 Jaegeol Cho. Jaegeol Cho 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.
Shin, JaeWook, et al.. (2022). A Novel Normalized Subband Adaptive Filter Algorithm Based on the Joint-Optimization Scheme. IEEE Access. 10. 9868–9876. 4 indexed citations
2.
Baek, Hyun Jae & Jaegeol Cho. (2019). Novel heart rate variability index for wrist-worn wearable devices subject to motion artifacts that complicate measurement of the continuous pulse interval. Physiological Measurement. 40(10). 105010–105010. 10 indexed citations
3.
Cho, Jaegeol. (2019). Current Status and Prospects of Health-Related Sensing Technology in Wearable Devices. Journal of Healthcare Engineering. 2019. 1–8. 19 indexed citations
4.
Shin, JaeWook & Jaegeol Cho. (2019). Noise-Robust Heart Rate Estimation Algorithm from Photoplethysmography Signal with Low Computational Complexity. Journal of Healthcare Engineering. 2019. 1–7. 6 indexed citations
5.
Cho, Jaegeol, et al.. (2018). 반지 형태의 웨어러블 헬스케어 디바이스 개발. The Transactions of The Korean Institute of Electrical Engineers. 67(7). 892–897. 1 indexed citations
6.
Baek, Hyun Jae, et al.. (2017). Reliability of the Parabola Approximation Method in Heart Rate Variability Analysis Using Low-Sampling-Rate Photoplethysmography. Journal of Medical Systems. 41(12). 14 indexed citations
7.
Lee, Hansung, et al.. (2016). Estimation of Heading Angle Difference Between User and Smartphone Utilizing Gravitational Acceleration Extraction. IEEE Sensors Journal. 16(10). 3746–3755. 5 indexed citations
8.
Cho, Chul-Ho, Kwang Bok Kim, Jae Hong Kim, et al.. (2015). Interference Reduction in Glucose Detection by Redox Potential Tuning: New Glucose Meter Development. Analytical Sciences. 31(7). 705–710. 5 indexed citations
9.
Hwang, Su Hwan, Kwang Suk Park, Da Woon Jung, et al.. (2015). Sleep Period Time Estimation Based on Electrodermal Activity. IEEE Journal of Biomedical and Health Informatics. 21(1). 115–122. 15 indexed citations
10.
Baek, Hyun Jae, Chul-Ho Cho, Jaegeol Cho, & Jong‐Min Woo. (2015). Reliability of Ultra-Short-Term Analysis as a Surrogate of Standard 5-Min Analysis of Heart Rate Variability. Telemedicine Journal and e-Health. 21(5). 404–414. 207 indexed citations
11.
Cho, Jaegeol, et al.. (2015). Microwave non‐contact imaging of subcutaneous human body tissues. Healthcare Technology Letters. 2(5). 108–111. 6 indexed citations
12.
Choi, Ahyoung, Justin Kim, Jae Hwan Jee, et al.. (2015). Smartphone-Based Bioelectrical Impedance Analysis Devices for Daily Obesity Management. Sensors. 15(9). 22151–22166. 28 indexed citations
13.
Shin, Hang‐Sik & Jaegeol Cho. (2014). Unconstrained snoring detection using a smartphone during ordinary sleep. BioMedical Engineering OnLine. 13(1). 116–116. 34 indexed citations
14.
Shin, Hang‐Sik, et al.. (2014). Robust Sleep Quality Quantification Method for a Personal Handheld Device. Telemedicine Journal and e-Health. 20(6). 522–530. 11 indexed citations
15.
Bhagat, Yusuf A., Do Yoon Kim, Jaegeol Cho, et al.. (2014). Clinical validation of a wrist actigraphy mobile health device for sleep efficiency analysis. 26. 56–59. 5 indexed citations
16.
Kim, Dong‐Min, et al.. (2013). Electron-Transfer Mediator for a NAD-Glucose Dehydrogenase-Based Glucose Sensor. Analytical Chemistry. 85(23). 11643–11649. 69 indexed citations
17.
18.
Salahuddin, Lizawati, et al.. (2007). Ultra Short Term Analysis of Heart Rate Variability for Monitoring Mental Stress in Mobile Settings. Conference proceedings. 2007. 4656–4659. 255 indexed citations
19.
Song, Jeong Hwan, et al.. (2005). Thin film filter-embedded triplexing-filters based on directional couplers for FTTH networks. IEEE Photonics Technology Letters. 17(8). 1668–1670. 24 indexed citations
20.
Song, Jeong Hwan, et al.. (2005). Reduction of insertion loss of thin film filters embedded in PLC platforms. IEEE Photonics Technology Letters. 17(7). 1459–1461. 6 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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