World's Best Scientists 2026 revealed!
Sung-Kwun Oh

Sung-Kwun Oh

D-Index & Metrics

Computer Science

D-Index
36
Citations
5330
World Ranking
11287
National Ranking
138

Sung-Kwun Oh publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Sung-Kwun Oh sits on this spectrum.

32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32 publications 991+

This scientist: 426 publications — 89th percentile

89% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Sung-Kwun Oh D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Sung-Kwun Oh sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30 D-Index 131+

This scientist: 36 D-Index — 23rd percentile

23% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Overview

Sung-Kwun Oh is affiliated with the University of Suwon in South Korea. Their research is primarily situated within computer science, with a focus on artificial intelligence, computer vision and pattern recognition, and control and systems engineering. Key areas of study also include media technology and computational theory and mathematics.

Their work covers important topics such as neural networks and applications, fuzzy logic and control systems, face and expression recognition, machine learning and extreme learning machines (ELM), advanced algorithms and applications, remote-sensing image classification, and metaheuristic optimization algorithms research.

Frequent publication venues for Sung-Kwun Oh include:

  • IEEE Transactions on Fuzzy Systems
  • Journal of Korean Institute of Intelligent Systems
  • Fuzzy Sets and Systems
  • Neurocomputing
  • IEEE Transactions on Cybernetics

Notable recent papers include:

  • "Hybrid fuzzy multiple SVM classifier through feature fusion based on convolution neural networks and its practical applications" (2022, Expert Systems with Applications)
  • "Data preprocessing strategy in constructing convolutional neural network classifier based on constrained particle swarm optimization with fuzzy penalty function" (2022, Engineering Applications of Artificial Intelligence)
  • "Design of Iterative Fuzzy Radial Basis Function Neural Networks Based on Iterative Weighted Fuzzy C-Means Clustering and Weighted LSE Estimation" (2022, IEEE Transactions on Fuzzy Systems)
  • "Design of Hierarchical Neural Networks Using Deep LSTM and Self-Organizing Dynamical Fuzzy-Neural Network Architecture" (2024, IEEE Transactions on Fuzzy Systems)
  • "Design of Ensemble Fuzzy-RBF Neural Networks Based on Feature Extraction and Multi-feature Fusion for GIS Partial Discharge Recognition and Classification" (2021, Journal of Electrical Engineering and Technology)

Frequent co-authors of Sung-Kwun Oh include:

  • Witold Pedrycz
  • Zunwei Fu
  • Bo Yang
  • Congcong Zhang
  • Zheng Wang

Best Publications

  • Identification of fuzzy systems by means of an auto-tuning algorithm and its application to nonlinear systems

    Sungkwun Oh;Witold Pedrycz

  • The design of self-organizing polynomial neural networks

    Sung-Kwun Oh;Witold Pedrycz;Witold Pedrycz

  • Polynomial neural networks architecture: analysis and design

    Sung-Kwun Oh;Witold Pedrycz;Witold Pedrycz;Byoung-Jun Park

  • Polynomial-based radial basis function neural networks (P-RBF NNs) realized with the aid of particle swarm optimization

    Sung-Kwun Oh;Wook-Dong Kim;Witold Pedrycz;Byoung-Jun Park

  • Hybrid identification in fuzzy-neural networks

    Sung-Kwun Oh;Witold Pedrycz;Ho-Sung Park

  • A comparative experimental study of type-1/type-2 fuzzy cascade controller based on genetic algorithms and particle swarm optimization

    Sung-Kwun Oh;Han-Jong Jang;Witold Pedrycz

  • Fuzzy polynomial neural networks: hybrid architectures of fuzzy modeling

    Byoung-Jun Park;W. Pedrycz;Sung-Kwun Oh

  • Identification of fuzzy models with the aid of evolutionary data granulation

    B.-J. Park;W. Pedrycz;S.-K. Oh

  • Parameter estimation of fuzzy controller and its application to inverted pendulum

    Sung-Kwun Oh;Witold Pedrycz;Witold Pedrycz;Seok-Beom Rho;Tae-Chon Ahn

  • Design of face recognition algorithm using PCA -LDA combined for hybrid data pre-processing and polynomial-based RBF neural networks: Design and its application

    Sung-Kwun Oh;Sung-Hoon Yoo;Witold Pedrycz

  • Design of K-means clustering-based polynomial radial basis function neural networks (pRBF NNs) realized with the aid of particle swarm optimization and differential evolution

    Sung-Kwun Oh;Wook-Dong Kim;Witold Pedrycz;Su-Chong Joo

  • A granular-oriented development of functional radial basis function neural networks

    W. Pedrycz;H. S. Park;S. K. Oh

  • Fuzzy Polynomial Neuron-Based Self-Organizing Neural Networks

    Sung-Kwun Oh;Witold Pedrycz

  • Fuzzy Wavelet Polynomial Neural Networks: Analysis and Design

    Wei Huang;Sung-Kwun Oh;Witold Pedrycz

  • The design of polynomial function-based neural network predictors for detection of software defects

    Byoung-Jun Park;Sung-Kwun Oh;Witold Pedrycz

  • The design of a fuzzy cascade controller for ball and beam system: A study in optimization with the use of parallel genetic algorithms

    Sung-Kwun Oh;Han-Jong Jang;Witold Pedrycz

  • Genetically optimized fuzzy polynomial neural networks

    Sung-Kwun Oh;W. Pedrycz;Ho-Sung Park

  • Design of fuzzy radial basis function-based polynomial neural networks

    Seok-Beom Roh;Sung-Kwun Oh;Witold Pedrycz

  • Design of hybrid radial basis function neural networks (HRBFNNs) realized with the aid of hybridization of fuzzy clustering method (FCM) and polynomial neural networks (PNNs)

    Wei Huang;Sung-Kwun Oh;Witold Pedrycz

  • Self-organizing neurofuzzy networks in modeling software data

    Sung-Kwun Oh;Witold Pedrycz;Witold Pedrycz;Byoung-Jun Park

  • Design of Reinforced Interval Type-2 Fuzzy C-Means-Based Fuzzy Classifier

    Eun-Hu Kim;Sung-Kwun Oh;Witold Pedrycz

Frequent Co-Authors

Witold Pedrycz
Witold Pedrycz University of Alberta
Bo Yang
Bo Yang University of Jinan
Sungjoon Lim
Sungjoon Lim Chung-Ang University
James F. Peters
James F. Peters University of Manitoba
Liehuang Zhu
Liehuang Zhu Beijing Institute of Technology

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