Jeonghoon Mo

Jeonghoon Mo

Yonsei University

H-index: 20

Asia-South Korea

About Jeonghoon Mo

Jeonghoon Mo, With an exceptional h-index of 20 and a recent h-index of 11 (since 2020), a distinguished researcher at Yonsei University, specializes in the field of Big Data, network economics, game theory.

His recent articles reflect a diverse array of research interests and contributions to the field:

Unsupervised Anomaly Detection Process Using LLE and HDBSCAN by Style-GAN as a Feature Extractor

A comparative analysis of research trends in the information and communication technology field of South and North Korea using data mining

Self-supervised representation learning anomaly detection methodology based on boosting algorithms enhanced by data augmentation using StyleGAN for manufacturing imbalanced data

Reinforcement learning-based expanded personalized diabetes treatment recommendation using South Korean electronic health records

Performance modeling of communication networks with Markov chains

Optimal treatment recommendations for diabetes patients using the Markov decision process along with the South Korean electronic health records

Global Tech Giants and Local Network Service Charge

Jeonghoon Mo Information

University

Position

___

Citations(all)

5469

Citations(since 2020)

783

Cited By

5049

hIndex(all)

20

hIndex(since 2020)

11

i10Index(all)

32

i10Index(since 2020)

12

Email

University Profile Page

Google Scholar

Jeonghoon Mo Skills & Research Interests

Big Data

network economics

game theory

Top articles of Jeonghoon Mo

Title

Journal

Author(s)

Publication Date

Unsupervised Anomaly Detection Process Using LLE and HDBSCAN by Style-GAN as a Feature Extractor

International Journal of Precision Engineering and Manufacturing

Taeheon Lee

Yoonseok Kim

Youngjoo Hyun

Jeonghoon Mo

Youngjun Yoo

2024/1

A comparative analysis of research trends in the information and communication technology field of South and North Korea using data mining

Jiwan Kim

Hyunkyoo Choi

Jeonghoon Mo

2023

Self-supervised representation learning anomaly detection methodology based on boosting algorithms enhanced by data augmentation using StyleGAN for manufacturing imbalanced data

Computers in Industry

Yoonseok Kim

Taeheon Lee

Youngjoo Hyun

Eric Coatanea

Siren Mika

...

2023/12/1

Reinforcement learning-based expanded personalized diabetes treatment recommendation using South Korean electronic health records

Expert Systems with Applications

Sang Ho Oh

Jongyoul Park

Su Jin Lee

Seungyeon Kang

Jeonghoon Mo

2022/11/15

Performance modeling of communication networks with Markov chains

Jeonghoon Mo

2022/5/31

Optimal treatment recommendations for diabetes patients using the Markov decision process along with the South Korean electronic health records

Scientific reports

Sang-Ho Oh

Su Jin Lee

Juhwan Noh

Jeonghoon Mo

2021/3/25

Global Tech Giants and Local Network Service Charge

Available at SSRN 3762012

Yunhyoung Kim

Jeonghoon Mo

2021

See List of Professors in Jeonghoon Mo University(Yonsei University)