World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
45
Citations
12116
World Ranking
5344
National Ranking
146

Chi-Hyuck Jun publication distribution in Engineering and Technology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2026. The highlighted bar marks where Chi-Hyuck Jun sits on this spectrum.

38–47 publications: 20 scientists 48–57 publications: 35 scientists 58–67 publications: 96 scientists 68–77 publications: 135 scientists 78–87 publications: 190 scientists 88–97 publications: 259 scientists 98–107 publications: 283 scientists 108–117 publications: 369 scientists 118–127 publications: 341 scientists 128–137 publications: 386 scientists 138–147 publications: 372 scientists 148–157 publications: 457 scientists 158–167 publications: 415 scientists 168–177 publications: 407 scientists 178–187 publications: 421 scientists 188–197 publications: 378 scientists 198–207 publications: 403 scientists 208–217 publications: 317 scientists 218–227 publications: 346 scientists 228–237 publications: 321 scientists 238–247 publications: 260 scientists 248–257 publications: 280 scientists 258–267 publications: 240 scientists 268–277 publications: 214 scientists 278–287 publications: 242 scientists 288–297 publications: 203 scientists 298–307 publications: 166 scientists 308–317 publications: 154 scientists 318–327 publications: 175 scientists 328–337 publications: 159 scientists 338–347 publications: 99 scientists 348–357 publications: 131 scientists 358–367 publications: 106 scientists 368–377 publications: 118 scientists 378–387 publications: 97 scientists 388–397 publications: 108 scientists 398–407 publications: 82 scientists 408–417 publications: 71 scientists 418–427 publications: 64 scientists 428–437 publications: 55 scientists 438–447 publications: 54 scientists 448–457 publications: 60 scientists 458–467 publications: 47 scientists 468–477 publications: 40 scientists 478–487 publications: 30 scientists 488–497 publications: 29 scientists 498–507 publications: 38 scientists 508–517 publications: 40 scientists 518–527 publications: 32 scientists 528–537 publications: 23 scientists 538–547 publications: 28 scientists 548–557 publications: 23 scientists 558–567 publications: 19 scientists 568–577 publications: 16 scientists 578–587 publications: 17 scientists 588–597 publications: 18 scientists 598–607 publications: 22 scientists 608–617 publications: 15 scientists 618–627 publications: 9 scientists 628–637 publications: 11 scientists 638–647 publications: 21 scientists 648–657 publications: 12 scientists 658–667 publications: 9 scientists 668–677 publications: 11 scientists 678–687 publications: 9 scientists 688–697 publications: 6 scientists 698–707 publications: 14 scientists 708–717 publications: 7 scientists 718–727 publications: 8 scientists 728–737 publications: 10 scientists 738–747 publications: 9 scientists 748–757 publications: 5 scientists 758–767 publications: 5 scientists 768–777 publications: 11 scientists 778–787 publications: 7 scientists 788–797 publications: 2 scientists 798–803 publications: 4 scientists 804+ publications: 100 scientists
38 publications 804+

This scientist: 334 publications — 82nd percentile

82% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 804 publications or more.

Chi-Hyuck Jun D-index placement in Engineering and Technology in 2026

The chart shows the D-index (discipline H-index) distribution of Engineering and Technology scientists ranked by Research.com in 2026. The highlighted bar marks where Chi-Hyuck Jun sits on this spectrum.

30 D-Index: 59 scientists 31 D-Index: 114 scientists 32 D-Index: 129 scientists 33 D-Index: 189 scientists 34 D-Index: 200 scientists 35 D-Index: 262 scientists 36 D-Index: 311 scientists 37 D-Index: 312 scientists 38 D-Index: 350 scientists 39 D-Index: 385 scientists 40 D-Index: 348 scientists 41 D-Index: 362 scientists 42 D-Index: 426 scientists 43 D-Index: 380 scientists 44 D-Index: 310 scientists 45 D-Index: 341 scientists 46 D-Index: 301 scientists 47 D-Index: 306 scientists 48 D-Index: 271 scientists 49 D-Index: 246 scientists 50 D-Index: 210 scientists 51 D-Index: 253 scientists 52 D-Index: 213 scientists 53 D-Index: 221 scientists 54 D-Index: 195 scientists 55 D-Index: 186 scientists 56 D-Index: 170 scientists 57 D-Index: 167 scientists 58 D-Index: 166 scientists 59 D-Index: 144 scientists 60 D-Index: 152 scientists 61 D-Index: 141 scientists 62 D-Index: 138 scientists 63 D-Index: 131 scientists 64 D-Index: 118 scientists 65 D-Index: 114 scientists 66 D-Index: 119 scientists 67 D-Index: 95 scientists 68 D-Index: 87 scientists 69 D-Index: 77 scientists 70 D-Index: 89 scientists 71 D-Index: 69 scientists 72 D-Index: 54 scientists 73 D-Index: 46 scientists 74 D-Index: 55 scientists 75 D-Index: 54 scientists 76 D-Index: 49 scientists 77 D-Index: 53 scientists 78 D-Index: 46 scientists 79 D-Index: 28 scientists 80 D-Index: 39 scientists 81 D-Index: 36 scientists 82 D-Index: 24 scientists 83 D-Index: 26 scientists 84 D-Index: 36 scientists 85 D-Index: 18 scientists 86 D-Index: 25 scientists 87 D-Index: 19 scientists 88 D-Index: 26 scientists 89 D-Index: 27 scientists 90 D-Index: 23 scientists 91 D-Index: 15 scientists 92 D-Index: 12 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 13 scientists 97 D-Index: 13 scientists 98 D-Index: 9 scientists 99 D-Index: 7 scientists 100 D-Index: 7 scientists 101 D-Index: 8 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 9 scientists 105 D-Index: 6 scientists 106 D-Index: 9 scientists 107+ D-Index: 99 scientists
30 D-Index 107+

This scientist: 45 D-Index — 46th percentile

46% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 107 D-Index or more.

Overview

Chi-Hyuck Jun is affiliated with the Pohang University of Science and Technology in South Korea. Their research primarily spans the fields of Computer Science and Decision Sciences, with a total of 28 and 22 publications respectively in these areas. The subfields in which they have contributed include Statistics, Probability and Uncertainty, Artificial Intelligence, Computer Vision and Pattern Recognition, Statistics and Probability, and Management Science and Operations Research.

Their work focuses on several specialized topics, notably Advanced Statistical Process Monitoring, Advanced Statistical Methods and Models, Optimal Experimental Design Methods, Face and Expression Recognition, Data Mining Algorithms and Applications, Privacy-Preserving Technologies in Data, and Machine Learning in Healthcare.

Chi-Hyuck Jun has published research in multiple scholarly venues, frequently contributing to the following journals:

  • SSRN Electronic Journal
  • Information Sciences
  • Communication in Statistics- Theory and Methods
  • Expert Systems with Applications
  • Scientia Iranica

Frequent collaborators include Muhammad Aslam, Junghye Lee, Taek-Ho Lee, Rehan Ahmad Khan Sherwani, and G. Srinivasa Rao.

Examples of recent publications encompass the following works:

  • An efficient multivariate feature ranking method for gene selection in high-dimensional microarray data, 2020, Expert Systems with Applications
  • Markov blanket-based universal feature selection for classification and regression of mixed-type data, 2020, Expert Systems with Applications
  • Word2Vec-based efficient privacy-preserving shared representation learning for federated recommendation system in a cross-device setting, 2023, Information Sciences
  • A new control chart using GINI CPK, 2020, Communication in Statistics- Theory and Methods
  • Monitoring Mortality Caused by COVID-19 Using Gamma-Distributed Variables Based on Generalized Multiple Dependent State Sampling, 2021, Computational and Mathematical Methods in Medicine

Best Publications

  • A simple and fast algorithm for K-medoids clustering

    Hae-Sang Park;Chi-Hyuck Jun

  • Performance of some variable selection methods when multicollinearity is present

    Il-Gyo Chong;Chi-Hyuck Jun

  • Repetitive group sampling procedure for variables inspection

    S Balamurali;Chi-Hyuck Jun

  • A new loss function-based method for multiresponse optimization

    Young-Hyun Ko;Kwang-Jae Kim;Chi-Hyuck Jun

  • Multiple dependent state sampling plans for lot acceptance based on measurement data

    S Balamurali;Chi-Hyuck Jun

  • Variables sampling plans for Weibull distributed lifetimes under sudden death testing

    Chi-Hyuck Jun;S. Balamurali;Sang-Ho Lee

  • A group acceptance sampling plan for truncated life test having Weibull distribution

    Muhammad Aslam;Chi-Hyuck Jun

  • Privacy-Preserving Patient Similarity Learning in a Federated Environment: Development and Analysis.

    Junghye Lee;Jimeng Sun;Fei Wang;Shuang Wang

  • Instance categorization by support vector machines to adjust weights in AdaBoost for imbalanced data classification

    Wonji Lee;Chi-Hyuck Jun;Jong-Seok Lee

  • Variables sampling inspection scheme for resubmitted lots based on the process capability index Cpk

    Chien-Wei Wu;Muhammad Aslam;Chi-Hyuck Jun

  • Classification-based collaborative filtering using market basket data

    Jong-Seok Lee;Chi-Hyuck Jun;Jaewook Lee;Sooyoung Kim

  • Variable sampling inspection for resubmitted lots based on process capability index Cpk for normally distributed items

    Muhammad Aslam;Chien-Wei Wu;Muhammad Azam;Chi-Hyuck Jun

  • A GROUP ACCEPTANCE SAMPLING PLANS FOR TRUNCATED LIFE TESTS BASED ON THE INVERSE RAYLEIGH AND LOG-LOGISTIC DISTRIBUTIONS

    Muhammad Aslam;Chi-Hyuck Jun

  • Designing of Variables Repetitive Group Sampling Plan Involving Minimum Average Sample Number

    S. Balamurali;Heekon Park;Chi-Hyuck Jun;Kwang-Jae Kim

  • Designing of X-bar control charts based on process capability index using repetitive sampling

    Liaquat Ahmad;Muhammad Aslam;Chi-Hyuck Jun

  • Designing of a hybrid exponentially weighted moving average control chart using repetitive sampling

    Muhammad Azam;Muhammad Aslam;Chi-Hyuck Jun

  • A new multiple dependent state sampling plan based on the process capability index

    Muhammad Aslam;Saminathan Balamurali;Chi-Hyuck Jun

  • Designing of a new monitoring t-chart using repetitive sampling

    Muhammad Aslam;Nasrullah Khan;Muhammad Azam;Chi-Hyuck Jun

  • Multiple Dependent State Sampling Plan Based on Process Capability Index

    Muhammad Aslam;Muhammad Azam;Chi-Hyuck Jun

  • A mixed repetitive sampling plan based on process capability index

    Muhammad Aslam;Muhammad Azam;Chi-Hyuck Jun

  • Quality Control Designing of Variables Repetitive Group Sampling Plan Involving Minimum Average Sample Number

    S. Balamurali;Chi-Hyuck Jun;Kwang-Jae Kim;Jaewook Lee

Frequent Co-Authors

Muhammad Aslam
Muhammad Aslam King Abdulaziz University
Soo Young Kim
Soo Young Kim Korea University
Sheldon M. Ross
Sheldon M. Ross University of Southern California
Debasis Kundu
Debasis Kundu Indian Institute of Technology Kanpur
In-Beum Lee
In-Beum Lee Pohang University of Science and Technology
Xiaoqian Jiang
Xiaoqian Jiang The University of Texas Health Science Center at Houston
Jimeng Sun
Jimeng Sun University of Illinois at Urbana-Champaign
Suk-Hwan Suh
Suk-Hwan Suh Pohang University of Science and Technology
Hyeon Suk Shin
Hyeon Suk Shin Ulsan National Institute of Science and Technology
Kun-Hong Lee
Kun-Hong Lee Pohang University of Science and Technology

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