Hyunseok Park

Hyunseok Park

Hanyang University

H-index: 18

Asia-South Korea

About Hyunseok Park

Hyunseok Park, With an exceptional h-index of 18 and a recent h-index of 17 (since 2020), a distinguished researcher at Hanyang University, specializes in the field of Technology intelligence, Patent mining, Technology management, Scientometrics.

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

Technological trajectory in fuel cell technologies: A patent-based main path analysis

Investigating Knowledge Structure and Future Directions in IT-Based Business Methods Using Hierarchical Main Path Approach

What Indicators Are Shaping China’s National World-Class High-Tech Zones? Constructing a Feature Indicator System Based on Machine Learning

Exploring knowledge trajectories of accounting information systems using business method patents and knowledge persistence-based main path analysis

Remaining useful life prediction of lithium-ion batteries using neural networks with adaptive bayesian learning

Investigating Company’s Technical Development Directions Based on Internal Knowledge Inheritance and Inventor Capabilities: The Case of Samsung Electronics

Expedient validation of LED reliability with anomaly detection through multi-output Gaussian process regression

Prognosis of LED lumen degradation using Bayesian optimized neural network approach

Hyunseok Park Information

University

Position

___

Citations(all)

1843

Citations(since 2020)

1081

Cited By

1199

hIndex(all)

18

hIndex(since 2020)

17

i10Index(all)

31

i10Index(since 2020)

28

Email

University Profile Page

Hanyang University

Google Scholar

View Google Scholar Profile

Hyunseok Park Skills & Research Interests

Technology intelligence

Patent mining

Technology management

Scientometrics

Top articles of Hyunseok Park

Title

Journal

Author(s)

Publication Date

Technological trajectory in fuel cell technologies: A patent-based main path analysis

International Journal of Hydrogen Energy

Fang Han

Sejun Yoon

Nagarajan Raghavan

Bin Yang

Hyunseok Park

2024/1/2

Investigating Knowledge Structure and Future Directions in IT-Based Business Methods Using Hierarchical Main Path Approach

IEEE Access

Sejun Yoon

Nagarajan Raghavan

Nguyen-Truong Le

Hyunseok Park

2023/11/28

What Indicators Are Shaping China’s National World-Class High-Tech Zones? Constructing a Feature Indicator System Based on Machine Learning

Applied Sciences

Sida Feng

Hyunseok Park

Fang Han

2023/9/26

Exploring knowledge trajectories of accounting information systems using business method patents and knowledge persistence-based main path analysis

Mathematics

Yoonki Rhee

Sejun Yoon

Hyunseok Park

2022/9/15

Remaining useful life prediction of lithium-ion batteries using neural networks with adaptive bayesian learning

IEEE Transactions on Transportation Electrification

Niankai Yang

Heath Hofmann

Jing Sun

Ziyou Song

2023/10/12

Investigating Company’s Technical Development Directions Based on Internal Knowledge Inheritance and Inventor Capabilities: The Case of Samsung Electronics

Sustainability

Fang Han

Sejun Yoon

Nagarajan Raghavan

Hyunseok Park

2022/3/7

Expedient validation of LED reliability with anomaly detection through multi-output Gaussian process regression

Microelectronics Reliability

Sze Li Harry Lim

Pham Luu Trung Duong

Hyunseok Park

Nagarajan Raghavan

2022/11/1

Prognosis of LED lumen degradation using Bayesian optimized neural network approach

Microelectronics Reliability

Karkulali Pugalenthi

Sze Li Harry Lim

Hyunseok Park

Shaista Hussain

Nagarajan Raghavan

2022/11/1

Identifying service opportunities based on outcome-driven innovation framework and deep learning: A case study of hotel service

Sustainability

Sunghyun Nam

Sejun Yoon

Nagarajan Raghavan

Hyunseok Park

2021/1/4

Hybrid particle filter trained neural network for prognosis of lithium-ion batteries

IEEE Access

Karkulali Pugalenthi

Hyunseok Park

Shaista Hussain

Nagarajan Raghavan

2021/9/29

Multistate Diagnosis and Prognosis of Lubricating Oil Degradation Using Sticky Hierarchical Dirichlet Process–Hidden Markov Model Framework

Applied Sciences

Monika Tanwar

Hyunseok Park

Nagarajan Raghavan

2021/7/18

Developmental trajectories in blockchain technology using patent-based knowledge network analysis

IEEE Access

Sohee Kim

Sejun Yoon

Nagarajan Raghavan

Nguyen-Truong Le

Hyunseok Park

2021/3/17

Hierarchical main path analysis to identify decompositional multi-knowledge trajectories

Journal of Knowledge Management

Sejun Yoon

Changbae Mun

Nagarajan Raghavan

Dongwook Hwang

Sohee Kim

...

2021/3/8

Predicting Lumen Degradation of Light Emitting Diodes Using Hybrid Particle Filter Trained Neural Networks

IEEE Access

Karkulali Pugalenthi

Hyunseok Park

Shaista Hussain

Nagarajan Raghavan

2021/12/16

Function score-based technological trend analysis

Technovation

Changbae Mun

Sejun Yoon

Nagarajan Raghavan

Dongwook Hwang

Subarna Basnet

...

2021/3/1

Bias suppression framework for detrending mean of multi-output gaussian process regression in LED remaining storage life prognosis

IEEE Access

Lim Sze Li Harry

Pham Luu Trung Duong

Hyunseok Park

Nagarajan Raghavan

2021/12/14

Assessing multi-output Gaussian process regression for modeling of non-monotonic degradation trends of light emitting diodes in storage

Microelectronics Reliability

SLH Lim

PLT Duong

H Park

P Singh

CM Tan

...

2020/11/1

Piecewise model-based online prognosis of lithium-ion batteries using particle filters

Ieee Access

Karkulali Pugalenthi

Hyunseok Park

Nagarajan Raghavan

2020/8/19

Big data-based Local Store Information Providing Service

The Journal of the Korea Contents Association

Chang-Bae Mun

Hyun-Seok Park

2020

See List of Professors in Hyunseok Park University(Hanyang University)