James Won-KI Hong

About James Won-KI Hong

James Won-KI Hong, With an exceptional h-index of 40 and a recent h-index of 23 (since 2020), a distinguished researcher at Pohang University of Science and Technology, specializes in the field of Network Management, Blockchain & Cryptocurrency, AI-based Video Conferencing.

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

Survey on blockchain‐based non‐fungible tokens: History, technologies, standards, and open challenges

Traffic categorization method and device

End-to-End Verifiable Decentralized Federated Learning

Fractional non‐fungible tokens: Overview, evaluation, marketplaces, and challenges

Alleviating Crypto Gas War in NFT Launching

Analyzing the Effect of Observer Node Addition Strategy on Bitcoin Double-Spending Attack Detection Using Graph Neural Network

Service Applicable Blockchain-based Self-Sovereign Identity Management System

Enhancing QoE of WebRTC-based Video Conferencing using Deep Reinforcement Learning

James Won-KI Hong Information

University

Position

Professor of Computer Science

Citations(all)

6581

Citations(since 2020)

2073

Cited By

5685

hIndex(all)

40

hIndex(since 2020)

23

i10Index(all)

169

i10Index(since 2020)

66

Email

University Profile Page

Google Scholar

James Won-KI Hong Skills & Research Interests

Network Management

Blockchain & Cryptocurrency

AI-based Video Conferencing

Top articles of James Won-KI Hong

Title

Journal

Author(s)

Publication Date

Survey on blockchain‐based non‐fungible tokens: History, technologies, standards, and open challenges

International Journal of Network Management

Kyungchan Ko

Taeyeol Jeong

Jongsoo Woo

James Won‐Ki Hong

2024/1

Traffic categorization method and device

2024/4/25

End-to-End Verifiable Decentralized Federated Learning

arXiv preprint arXiv:2404.12623

Chaehyeon Lee

Jonathan Heiss

Stefan Tai

James Won-Ki Hong

2024/4/19

Fractional non‐fungible tokens: Overview, evaluation, marketplaces, and challenges

Wonseok Choi

Jongsoo Woo

James Won‐Ki Hong

2024/1/11

Alleviating Crypto Gas War in NFT Launching

Kyungchan Ko

Taeyeol Jeong

Jongsoo Woo

James Won-Ki Hong

2023/5/1

Analyzing the Effect of Observer Node Addition Strategy on Bitcoin Double-Spending Attack Detection Using Graph Neural Network

Changhoon Kang

Jongsoo Woo

James Won-Ki Hong

2023/9/6

Service Applicable Blockchain-based Self-Sovereign Identity Management System

Jeongheon Kim

Minji Choi

Chaehyeon Lee

Jongsoo Woo

James Won-Ki Hong

2023/5/1

Enhancing QoE of WebRTC-based Video Conferencing using Deep Reinforcement Learning

Kyungchan Ko

Sangwoo Ryu

James Won-Ki Hong

2023/9/6

SDN Lullaby: VM Consolidation for SDN using Transformer-Based Deep Reinforcement Learning

Eui-Dong Jeong

Jae-Hyoung Yoo

James Won-Ki Hong

2023/10/30

A comprehensive and quantitative evaluation method for Blockchain Protocols

Chaehyeon Lee

Changhoon Kang

Heeju Ko

Jongsoo Woo

James Won-Ki Hong

2023/5/1

RNN‐EdgeQL: An auto‐scaling and placement approach for SFC

International Journal of Network Management

Suman Pandey

Minji Choi

Jae‐Hyoung Yoo

James Won‐Ki Hong

2023/7

Log Analysis and Prediction for Anomaly Detection in Network Switches

Sukhyun Nam

Euidong Jeong

Jibum Hong

Jae-Hyoung Yoo

James Won-Ki Hong

2023/10/30

Gas cost analysis of fractional NFT on the ethereum blockchain

Wonseok Choi

Jongsoo Woo

James Won-Ki Hong

2023/5/1

Improve Video Conferencing Quality with Deep Reinforcement Learning

Nguyen Van Tu

Kyungchan Ko

Sangwoo Ryu

Sangtae Ha

James Won-Ki Hong

2023/5/8

AI-Driven Data Analytics and Intent-Based Networking for Orchestration and Control of B5G Consumer Electronics Services

IEEE Transactions on Consumer Electronics

Khizar Abbas

Ali Nauman

Muhammad Bilal

Jae-Hyung Yoo

James Won-Ki Hong

...

2023/10/13

Graph neural network‐based virtual network function deployment optimization

International Journal of Network Management

Hee‐Gon Kim

Suhyun Park

Stanislav Lange

Doyoung Lee

Dongnyeong Heo

...

2023/1

Bitcoin double-spending attack detection using graph neural network

Changhoon Kang

Jongsoo Woo

James Won-Ki Hong

2023/5/1

Network Traffic Prediction and Auto-Scaling of SFC using Temporal Fusion Transformer

Minji Choi

Hee-Gon Kim

Jae-Hyoung Yoo

James Won-Ki Hong

2023/9/6

Adaptive Ensemble Learning-based Network Resource Workload Prediction for VNF Lifecycle Management

Khizar Abbas

Jae-Hyoung Yoo

James Won-Ki Hong

2022/9/28

Autonomous DRL-based energy efficient VM consolidation for cloud data centers

Physical Communication

Khizar Abbas

Jibum Hong

Nguyen Van Tu

Jae-Hyoung Yoo

James Won-Ki Hong

2022/12/1

See List of Professors in James Won-KI Hong University(Pohang University of Science and Technology)

Co-Authors

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