Predicting the Interactome of Xanthomonas oryzae pathovar oryzae for target selection and DB service. - Jeong-Gu Kim; Daeui Park; Byoung-Chul Kim; Seong-Woong Cho; Yeong Tae Kim; Young-Jin Park; Hee Jung Cho; Hyunseok Park; Ki-Bong Kim; Kyong-Oh Yoon; Soo-Jun Park; Byoung-Moo Lee; et al. (BMC Bioinform., 2008)

An SAO-based text mining approach to building a technology tree for technology planning. - Sungchul Choi; Hyunseok Park; Dongwoo Kang; Jae Yeol Lee; Kwangsoo Kim (Expert Syst. Appl., 2012)

Identifying patent infringement using SAO based semantic technological similarities. - Hyunseok Park; Janghyeok Yoon; Kwangsoo Kim (Scientometrics, 2012)

A patent intelligence system for strategic technology planning. - Hyunseok Park; Kwangsoo Kim; Sungchul Choi; Janghyeok Yoon (Expert Syst. Appl., 2013)

Identification of promising patents for technology transfers using TRIZ evolution trends. - Hyunseok Park; Jason Jihoon Ree; Kwangsoo Kim (Expert Syst. Appl., 2013)

Using function-based patent analysis to identify potential application areas of technology for technology transfer. - Hyunseok Park; Janghyeok Yoon; Kwangsoo Kim (Expert Syst. Appl., 2013)

Identification and evaluation of corporations for merger and acquisition strategies using patent information and text mining. - Hyunseok Park; Janghyeok Yoon; Kwangsoo Kim (Scientometrics, 2013)

Identifying technological competition trends for R&D planning using dynamic patent maps: SAO-based content analysis. - Janghyeok Yoon; Hyunseok Park; Kwangsoo Kim (Scientometrics, 2013)

Analyzing technology impact networks for R&D planning using patents: combined application of network approaches. - Sung-Seok Ko; Namuk Ko; Doyeon Kim; Hyunseok Park; Janghyeok Yoon (Scientometrics, 2014)

Assessing coreness and intermediarity of technology sectors using patent co-classification analysis: the case of Korean national R&D. - Hyunseok Park; Janghyeok Yoon (Scientometrics, 2014)

Energy minimization in the time-space continuum. - Hyunseok Park; Shreel Vijayvargiya; André DeHon (FPT, 2015)

Factors affecting product innovation performance according to dynamics of environment: evidence from Korean high-tech enterprises in manufacturing sector. - Jungin Kim; Sooyoung Kim; Hyunseok Park (Int. J. Technol. Manag., 2015)

Energy Efficiency of Full Pipelining: A Case Study for Matrix Multiplication. - Peipei Zhou 001; Hyunseok Park; Zhenman Fang; Jason Cong; André DeHon (FCCM, 2016)

Decomposition and Analysis of Technological domains for better understanding of Technological Structure. - Xin Guo; Hyunseok Park; Christopher L. Magee (CoRR, 2016)

Tracing technological development trajectories: A genetic knowledge persistence-based main path approach. - Hyunseok Park; Christopher L. Magee (CoRR, 2016)

Quantitative identification of technological discontinuities using simulation modeling. - Hyunseok Park; Christopher L. Magee (CoRR, 2016)

Biomechanical design of an agile, electricity-powered lower-limb exoskeleton for weight-bearing assistance. - Dong Jin Hyun; Hyunseok Park; Taejun Ha; SangIn Park; Kyungmo Jung (Robotics Auton. Syst., 2017)

Analyzing Technological Spillover Effects Between Technology Classes: the Case of Korea Technology Finance Corporation. - Sungchul Choi; Maengseok Noh; Janghyeok Yoon; Hyunseok Park; Wonchul Seo (IEEE Access, 2018)

Application of expectation maximization and Kalman smoothing for prognosis of lumen maintenance life for light emitting diodes. - Pham Luu Trung Duong; Hyunseok Park; Nagarajan Raghavan (Microelectron. Reliab., 2018)

Application of multi-output Gaussian process regression for remaining useful life prediction of light emitting diodes. - Pham Luu Trung Duong; Hyunseok Park; Nagarajan Raghavan (Microelectron. Reliab., 2018)

Quantitative Identification of Technological Discontinuities. - Hyunseok Park; Christopher L. Magee (IEEE Access, 2019)

Structural decomposition of technological domain using patent co-classification and classification hierarchy. - Changbae Mun; Sejun Yoon; Hyunseok Park (Scientometrics, 2019)

Piecewise Model-Based Online Prognosis of Lithium-Ion Batteries Using Particle Filters. - Karkulali Pugalenthi; Hyunseok Park; Nagarajan Raghavan (IEEE Access, 2020)

Bias Suppression Framework for Detrending Mean of Multi-Output Gaussian Process Regression in LED Remaining Storage Life Prognosis. - Lim Sze Li Harry; Pham Luu Trung Duong; Hyunseok Park; Nagarajan Raghavan (IEEE Access, 2021)

Developmental Trajectories in Blockchain Technology Using Patent-Based Knowledge Network Analysis. - Sohee Kim; Sejun Yoon; Nagarajan Raghavan; Nguyen-Truong Le; Hyunseok Park (IEEE Access, 2021)

Hybrid Particle Filter Trained Neural Network for Prognosis of Lithium-Ion Batteries. - Karkulali Pugalenthi; Hyunseok Park; Shaista Hussain; Nagarajan Raghavan (IEEE Access, 2021)

Predicting Lumen Degradation of Light Emitting Diodes Using Hybrid Particle Filter Trained Neural Networks. - Karkulali Pugalenthi; Hyunseok Park; Shaista Hussain; Nagarajan Raghavan (IEEE Access, 2021)

Hierarchical main path analysis to identify decompositional multi-knowledge trajectories. - Sejun Yoon; Changbae Mun; Nagarajan Raghavan; Dongwook Hwang; Sohee Kim; Hyunseok Park (J. Knowl. Manag., 2021)

Remaining Useful Life Prediction of Lithium-Ion Batteries Using Neural Networks with Adaptive Bayesian Learning. - Karkulali Pugalenthi; Hyunseok Park; Shaista Hussain; Nagarajan Raghavan (Sensors, 2022)

Investigating Knowledge Structure and Future Directions in IT-Based Business Methods Using Hierarchical Main Path Approach. - Sejun Yoon; Nagarajan Raghavan; Nguyen-Truong Le; Hyunseok Park (IEEE Access, 2023)

Lithium-ion Battery Capacity Loss Predictions using Domain-Knowledge-Incorporated Capacity Loss Model through Bayesian Inference. - Rahul Sahay; Hyunseok Park; Nagarajan Raghavan (ICPHM, 2025)