Jungyoon Kim

729 total citations
30 papers, 469 citations indexed

About

Jungyoon Kim is a scholar working on Biomedical Engineering, Experimental and Cognitive Psychology and Social Psychology. According to data from OpenAlex, Jungyoon Kim has authored 30 papers receiving a total of 469 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Biomedical Engineering, 6 papers in Experimental and Cognitive Psychology and 5 papers in Social Psychology. Recurrent topics in Jungyoon Kim's work include Obstructive Sleep Apnea Research (5 papers), Non-Invasive Vital Sign Monitoring (5 papers) and Dementia and Cognitive Impairment Research (3 papers). Jungyoon Kim is often cited by papers focused on Obstructive Sleep Apnea Research (5 papers), Non-Invasive Vital Sign Monitoring (5 papers) and Dementia and Cognitive Impairment Research (3 papers). Jungyoon Kim collaborates with scholars based in United States, South Korea and Jordan. Jungyoon Kim's co-authors include Jihye Lim, Song-Hee Cheon, Chao‐Hsien Chu, Jaehyun Park, Olga Vl. Bitkina, Jangwoon Park, Hyun K. Kim, Na Liu, Hwee‐Xian Tan and Dawn M. Tilbury and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Sensors.

In The Last Decade

Jungyoon Kim

27 papers receiving 454 citations

Peers

Jungyoon Kim

HIM

ECP

CVPR

Christos Kokkotis Greece

Luis Montesinos Mexico

Andong Zhan United States

Arne Küderle Germany

Murtadha D. Hssayeni United States

Bassam Al‐Naami Jordan

Shibili Nuhmani Saudi Arabia

Vassilis Kilintzis Greece

Rajkumar Palaniappan Malaysia

Álvaro D. Orjuela-Cañón Colombia

Christos Kokkotis Greece

Jungyoon Kim

82 ×1.0

47 ×0.6

HIM

22 ×0.3

ECP

69 ×1.0

30 ×0.5

CVPR

Citations per year, relative to Jungyoon Kim Jungyoon Kim (= 1×) peers Christos Kokkotis

Countries citing papers authored by Jungyoon Kim

Since Specialization

Citations

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

Fields of papers citing papers by Jungyoon Kim

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jungyoon Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Jungyoon Kim. A scholar is included among the top collaborators of Jungyoon Kim 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 Jungyoon Kim. Jungyoon Kim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Kim, Jungyoon, et al.. (2025). Effective Gas Level Prediction Based on Sensor Array Using Deep Learning in Mixed Gases: A Comparative Analysis of CNN-1D, LSTM, and GRU Models. IEEE Transactions on Instrumentation and Measurement. 74. 1–9. 2 indexed citations

Kim, Jungyoon, et al.. (2025). Enhanced Comparative Analysis of Pretrained and Custom Deep Convolutional Neural Networks for Galaxy Morphology Classification. SHILAP Revista de lepidopterología. 36–36.

Kim, Jungyoon, et al.. (2024). Smart Solutions for Detecting, Predicting, Monitoring, and Managing Dementia in the Elderly: A Survey. IEEE Access. 12. 100026–100056. 5 indexed citations

Kim, Jungyoon, et al.. (2024). WLSCMS: Wearable Lumbar Spine Curve Monitoring System Based on Integrated Sensors. IEEE Transactions on Instrumentation and Measurement. 73. 1–10. 2 indexed citations

Kim, Jungyoon, et al.. (2024). Optimized Prescreen Survey Tool for Predicting Sleep Apnea Based on Deep Neural Network: Pilot Study. Applied Sciences. 14(17). 7608–7608.

Kim, Jungyoon, et al.. (2023). Factor Analysis for the Performance Impacts of Real-Time Ventricular Fibrillation Detection on Microcontroller. IEEE Access. 12. 42233–42247. 1 indexed citations

Choe, Mungyeong, et al.. (2023). Head Mounted IMU-Based Driver’s Gaze Zone Estimation Using Machine Learning Algorithm. International Journal of Human-Computer Interaction. 40(23). 7970–7981. 2 indexed citations

Bitkina, Olga Vl., Jaehyun Park, & Jungyoon Kim. (2022). Modeling Sleep Quality Depending on Objective Actigraphic Indicators Based on Machine Learning Methods. International Journal of Environmental Research and Public Health. 19(16). 9890–9890. 7 indexed citations

Kim, Jungyoon, Song-Hee Cheon, & Jihye Lim. (2022). IoT-Based Unobtrusive Physical Activity Monitoring System for Predicting Dementia. IEEE Access. 10. 26078–26089. 20 indexed citations

10.

Bitkina, Olga Vl., Jungyoon Kim, Jangwoon Park, Jaehyun Park, & Hyun K. Kim. (2021). User Stress in Artificial Intelligence: Modeling in Case of System Failure. IEEE Access. 9. 137430–137443. 9 indexed citations

11.

Kim, Jungyoon & Jihye Lim. (2021). A Deep Neural Network-Based Method for Prediction of Dementia Using Big Data. International Journal of Environmental Research and Public Health. 18(10). 5386–5386. 17 indexed citations

12.

Choe, Mungyeong, et al.. (2021). Analysis of Relationship between Electroencephalograms and Subjective Measurements for In-Vehicle Information System: A Preliminary Study. International Journal of Environmental Research and Public Health. 18(22). 12173–12173. 7 indexed citations

13.

Kim, Hyun K., et al.. (2021). Subjective Evaluation of the Effect of Exoskeleton Robots for Rehabilitation Training. IEEE Access. 9. 130554–130561. 7 indexed citations

14.

ElMoaqet, Hisham, Jungyoon Kim, Dawn M. Tilbury, et al.. (2020). Gaussian Mixture Models for Detecting Sleep Apnea Events Using Single Oronasal Airflow Record. Applied Sciences. 10(21). 7889–7889. 23 indexed citations

15.

Kim, Jungyoon, et al.. (2020). IoT-Based Unobtrusive Sensing for Sleep Quality Monitoring and Assessment. IEEE Sensors Journal. 21(3). 3799–3809. 22 indexed citations

16.

Kim, Jungyoon, et al.. (2020). Flat-Feet Prediction Based on a Designed Wearable Sensing Shoe and a PCA-Based Deep Neural Network Model. IEEE Access. 8. 199070–199080. 5 indexed citations

17.

Mehrübeoğlu, Mehrübe, et al.. (2020). Comparison of Design Characteristics and Customization Protocols for Swimming Goggles. Electronics. 9(6). 992–992. 1 indexed citations

18.

Cheon, Song-Hee, Jungyoon Kim, & Jihye Lim. (2019). The Use of Deep Learning to Predict Stroke Patient Mortality. International Journal of Environmental Research and Public Health. 16(11). 1876–1876. 104 indexed citations

19.

Kim, Jungyoon, Hisham ElMoaqet, Dawn M. Tilbury, Satya Krishna Ramachandran, & Thomas Penzel. (2018). Time domain characterization for sleep apnea in oronasal airflow signal: a dynamic threshold classification approach. Physiological Measurement. 40(5). 54007–54007. 16 indexed citations

20.

Soliman, Ghada A., et al.. (2018). Wellness programme at the workplace promotes dietary change and improves health indicators in a longitudinal retrospective study. Public Health Nutrition. 22(2). 354–362. 2 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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