World's Best Scientists 2026 revealed!
Jung-Wook Park

Jung-Wook Park

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
34
Citations
5274
World Ranking
5771
National Ranking
200

Jung-Wook Park publication distribution in Electronics and Electrical Engineering in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Electronics and Electrical Engineering in 2026. The highlighted bar marks where Jung-Wook Park sits on this spectrum.

34–53 publications: 24 scientists 54–73 publications: 52 scientists 74–93 publications: 114 scientists 94–113 publications: 203 scientists 114–133 publications: 269 scientists 134–153 publications: 355 scientists 154–173 publications: 403 scientists 174–193 publications: 446 scientists 194–213 publications: 430 scientists 214–233 publications: 431 scientists 234–253 publications: 399 scientists 254–273 publications: 366 scientists 274–293 publications: 335 scientists 294–313 publications: 300 scientists 314–333 publications: 276 scientists 334–353 publications: 250 scientists 354–373 publications: 214 scientists 374–393 publications: 187 scientists 394–413 publications: 152 scientists 414–433 publications: 169 scientists 434–453 publications: 147 scientists 454–473 publications: 111 scientists 474–493 publications: 117 scientists 494–513 publications: 103 scientists 514–533 publications: 99 scientists 534–553 publications: 92 scientists 554–573 publications: 75 scientists 574–593 publications: 58 scientists 594–613 publications: 69 scientists 614–633 publications: 50 scientists 634–653 publications: 62 scientists 654–673 publications: 54 scientists 674–693 publications: 44 scientists 694–713 publications: 37 scientists 714–733 publications: 28 scientists 734–753 publications: 26 scientists 754–773 publications: 26 scientists 774–793 publications: 19 scientists 794–813 publications: 23 scientists 814–833 publications: 20 scientists 834–853 publications: 16 scientists 854–873 publications: 20 scientists 874–893 publications: 11 scientists 894–913 publications: 11 scientists 914–933 publications: 16 scientists 934–953 publications: 13 scientists 954–973 publications: 10 scientists 974–993 publications: 11 scientists 994–1,013 publications: 9 scientists 1,014–1,033 publications: 9 scientists 1,034–1,053 publications: 10 scientists 1,054–1,064 publications: 6 scientists 1,065+ publications: 99 scientists
34 publications 1,065+

This scientist: 271 publications — 50th percentile

50% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 1,065 publications or more.

Jung-Wook Park D-index placement in Electronics and Electrical Engineering in 2026

The chart shows the D-index (discipline H-index) distribution of Electronics and Electrical Engineering scientists ranked by Research.com in 2026. The highlighted bar marks where Jung-Wook Park sits on this spectrum.

30 D-Index: 178 scientists 31 D-Index: 257 scientists 32 D-Index: 263 scientists 33 D-Index: 263 scientists 34 D-Index: 244 scientists 35 D-Index: 236 scientists 36 D-Index: 211 scientists 37 D-Index: 220 scientists 38 D-Index: 214 scientists 39 D-Index: 214 scientists 40 D-Index: 205 scientists 41 D-Index: 187 scientists 42 D-Index: 194 scientists 43 D-Index: 201 scientists 44 D-Index: 155 scientists 45 D-Index: 189 scientists 46 D-Index: 148 scientists 47 D-Index: 160 scientists 48 D-Index: 134 scientists 49 D-Index: 130 scientists 50 D-Index: 141 scientists 51 D-Index: 156 scientists 52 D-Index: 108 scientists 53 D-Index: 130 scientists 54 D-Index: 112 scientists 55 D-Index: 97 scientists 56 D-Index: 111 scientists 57 D-Index: 102 scientists 58 D-Index: 108 scientists 59 D-Index: 120 scientists 60 D-Index: 103 scientists 61 D-Index: 93 scientists 62 D-Index: 92 scientists 63 D-Index: 74 scientists 64 D-Index: 77 scientists 65 D-Index: 73 scientists 66 D-Index: 64 scientists 67 D-Index: 69 scientists 68 D-Index: 60 scientists 69 D-Index: 39 scientists 70 D-Index: 57 scientists 71 D-Index: 59 scientists 72 D-Index: 46 scientists 73 D-Index: 49 scientists 74 D-Index: 38 scientists 75 D-Index: 35 scientists 76 D-Index: 32 scientists 77 D-Index: 35 scientists 78 D-Index: 31 scientists 79 D-Index: 22 scientists 80 D-Index: 34 scientists 81 D-Index: 31 scientists 82 D-Index: 34 scientists 83 D-Index: 23 scientists 84 D-Index: 18 scientists 85 D-Index: 30 scientists 86 D-Index: 19 scientists 87 D-Index: 19 scientists 88 D-Index: 20 scientists 89 D-Index: 8 scientists 90 D-Index: 17 scientists 91 D-Index: 7 scientists 92 D-Index: 14 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 12 scientists 97 D-Index: 10 scientists 98 D-Index: 10 scientists 99 D-Index: 12 scientists 100 D-Index: 16 scientists 101 D-Index: 5 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 8 scientists 105 D-Index: 9 scientists 106 D-Index: 13 scientists 107 D-Index: 4 scientists 108 D-Index: 5 scientists 109 D-Index: 10 scientists 110 D-Index: 8 scientists 111+ D-Index: 96 scientists
30 D-Index 111+

This scientist: 34 D-Index — 18th percentile

18% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 111 D-Index or more.

Overview

Jung-Wook Park is affiliated with Yonsei University in South Korea and specializes in engineering with a focus on electrical and electronic engineering. Their research encompasses various subfields including control and systems engineering, automotive engineering, energy engineering and power technology, and safety, risk, reliability, and quality.

The scientist's work prominently addresses topics such as microgrid control and optimization, advanced DC-DC converters, multilevel inverters and converters, wind turbine control systems, advanced battery technologies research, power systems and renewable energy, and smart grid energy management.

Frequent collaborators in Park's research include SungHoon Lim, Usman Ali Khan, Issac Kim, Woo Jun You, and Soo Hyoung Lee. These coauthor relationships have contributed to a diverse range of publications and projects.

Park's publications are commonly featured in notable engineering journals, with frequent contributions to IEEE Access, IEEE Transactions on Power Electronics, IEEE Transactions on Industrial Electronics, Electronics, and IEEE Transactions on Industry Applications.

Recent papers by Park include:

  • Study on Battery Charging Strategy of Electric Vehicles Considering Battery Capacity (2021, IEEE Access)
  • Design and Implementation of Novel Noninverting Buck-Boost AC-AC Converter for DVR Applications (2020, IEEE Transactions on Industrial Electronics)
  • OptoSense (2020, Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies)
  • Selection of PWM Methods for Common-Mode Voltage and DC-Link Capacitor Current Reduction of Three-Phase VSI (2022, IEEE Transactions on Industry Applications)
  • A Class of Single-Phase Z-Source AC-AC Converters With Magnetic Coupling and Safe-Commutation Strategy (2020, IEEE Transactions on Industrial Electronics)

Best Publications

  • Design and Control of a Modular Multilevel HVDC Converter With Redundant Power Modules for Noninterruptible Energy Transfer

    Gum Tae Son;Hee-Jin Lee;Tae Sik Nam;Yong-Ho Chung

  • Selection of Optimal Location and Size of Multiple Distributed Generations by Using Kalman Filter Algorithm

    Soo-Hyoung Lee;Jung-Wook Park

  • A wideband analog multi-resolution spectrum sensing (MRSS) technique for cognitive radio (CR) systems

    Y. Hur;J. Park;W. Woo;K. Lim

  • Study on a Series Resistive SFCL to Improve Power System Transient Stability: Modeling, Simulation, and Experimental Verification

    Byung Chul Sung;Dong Keun Park;Jung-Wook Park;Tae Kuk Ko

  • Frequency Control Support of a Doubly-Fed Induction Generator Based on the Torque Limit

    Moses Kang;Keonhui Kim;Eduard Muljadi;Jung-Wook Park

  • Hybrid load forecasting method with analysis of temperature sensitivities

    Kyung-Bin Song;Seong-Kwan Ha;Jung-Wook Park;Dong-Jin Kweon

  • Dynamic Droop–Based Inertial Control of a Doubly-Fed Induction Generator

    Min Hwang;Eduard Muljadi;Jung-Wook Park;Poul Sorensen

  • Adaptive-critic-based optimal neurocontrol for synchronous generators in a power system using MLP/RBF neural networks

    Jung-Wook Park;R.G. Harley;G.K. Venayagamoorthy

  • Optimal Placement and Sizing of Multiple DGs in a Practical Distribution System by Considering Power Loss

    Soo Hyoung Lee;Jung-Wook Park

  • New Islanding Detection Method for Inverter-Based Distributed Generation Considering Its Switching Frequency

    Soo-Hyoung Lee;Jung-Wook Park

  • Energy Management Based on the Photovoltaic HPCS With an Energy Storage Device

    Seung-Tak Kim;SunHo Bae;Yong Cheol Kang;Jung-Wook Park

  • The Effect of SFCL on Electric Power Grid With Wind-Turbine Generation System

    Woo-Jae Park;Byung Chul Sung;Jung-Wook Park

  • Sub-grouped superblock management for high-performance flash storages

    Jung Wook Park;Gi Ho Park;Charles Weems;Shin Dug Kim

  • MLP/RBF neural-networks-based online global model identification of synchronous generator

    Jung-Wook Park;G.K. Venayagamoorthy;R.G. Harley

  • Diagnosis of Output Power Lowering in a PV Array by Using the Kalman-Filter Algorithm

    Byung-Kwan Kang;Seung-Tak Kim;Sun-Ho Bae;Jung-Wook Park

  • Study on Optimal Location of a Resistive SFCL Applied to an Electric Power Grid

    Byung Chul Sung;Dong Keun Park;Jung-Wook Park;Tae Kuk Ko

  • Improvement of Composite Load Modeling Based on Parameter Sensitivity and Dependency Analyses

    SeoEun Son;Soo Hyoung Lee;Dong-Hee Choi;Kyung-Bin Song

  • Application of SMES and Grid Code Compliance to Wind/Photovoltaic Generation System

    Seung-Tak Kim;Byung-Kwan Kang;Sun-Ho Bae;Jung-Wook Park

  • Fast and Reliable Estimation of Composite Load Model Parameters Using Analytical Similarity of Parameter Sensitivity

    Jae-Kyeong Kim;Kyungsung An;Jin Ma;Jeonghoon Shin

  • Microfabricated High-Speed Axial-Flux Multiwatt Permanent-Magnet Generators—Part II: Design, Fabrication, and Testing

    D.P. Arnold;S. Das;Jin-Woo Park;I. Zana

  • Comparison of MLP and RBF neural networks using deviation signals for on-line identification of a synchronous generator

    Jung-Wook Park;R.G. Harley;G.K. Venayagamoorthy

  • An Effort to Optimize Similar Days Parameters for ANN-Based Electricity Price Forecasting

    P. Mandal;A.K. Srivastava;Jung-Wook Park

Frequent Co-Authors

Ganesh K. Venayagamoorthy
Ganesh K. Venayagamoorthy Clemson University
R.G. Harley
R.G. Harley Georgia Institute of Technology
Yu-Chong Tai
Yu-Chong Tai California Institute of Technology
Hiroyuki Fujita
Hiroyuki Fujita Tokyo City University
Eduard Muljadi
Eduard Muljadi Auburn University
Anurag K. Srivastava
Anurag K. Srivastava West Virginia University
Salman Mohagheghi
Salman Mohagheghi Colorado School of Mines
Ian A. Hiskens
Ian A. Hiskens University of Michigan–Ann Arbor
Joshua M. Stuart
Joshua M. Stuart University of California, Santa Cruz
Philippe Renaud
Philippe Renaud École Polytechnique Fédérale de Lausanne

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Related Online Degrees & Career Pathways

For students interested in broadening their expertise beyond traditional Electronics and Electrical Engineering, exploring related fields can offer valuable career opportunities. For example, a bachelor degree in project management equips professionals with skills to lead complex engineering projects, blending technical know-how with leadership.

Many working adults pursuing advanced studies appreciate the flexibility that online education provides. There are numerous online degrees for working adults designed to fit around busy schedules without compromising quality or career advancement.

For those aiming to transition into education or training roles within engineering sectors, an online masters in instructional design offers the skills to develop effective educational materials and training programs tailored to technical subjects.

Additionally, competency based masters degrees provide a practical approach to learning, allowing students to progress based on their mastery of skills rather than time spent in class. This model is especially appealing for engineers seeking to demonstrate specific expertise efficiently.

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