World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
43
Citations
5266
World Ranking
6334
National Ranking
169

Yeong-Dae Kim 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 Yeong-Dae Kim 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: 121 publications — 16th percentile

16% of scientists in this discipline score the same or lower.

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

Yeong-Dae Kim 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 Yeong-Dae Kim 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: 43 D-Index — 39th percentile

39% of scientists in this discipline score the same or lower.

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

Overview

Yeong-Dae Kim is affiliated with the Korea Advanced Institute of Science and Technology in South Korea and has a research focus primarily in the field of medicine, with substantial contributions to pulmonary and respiratory medicine, surgery, oncology, immunology, and anesthesiology and pain medicine.

The scientist's work covers several main topics, including:

  • Lung Cancer Diagnosis and Treatment
  • Tracheal and Airway Disorders
  • Lung Cancer Treatments and Mutations
  • Pleural and Pulmonary Diseases
  • Airway Management and Intubation Techniques
  • Lung Cancer Research Studies
  • Congenital Diaphragmatic Hernia Studies

Yeong-Dae Kim has contributed to multiple publications across a range of specialized journals. Frequent publication venues include:

  • Journal of Chest Surgery
  • Medicina
  • Applied Sciences
  • Oncology Letters
  • Journal of Thoracic Disease

Recent papers authored or coauthored by Yeong-Dae Kim reflect the focus on pulmonary and oncological research and include:

  • "Effects of Inhalation versus Total Intravenous Anesthesia on Postoperative Pulmonary Complications after Anatomic Pulmonary Resection" (2022) published in Journal of Chest Surgery
  • "Celecoxib upregulates ULBP-1 expression in lung cancer cells via the JNK/PI3K signaling pathway and increases susceptibility to natural killer cell cytotoxicity" (2020) published in Oncology Letters
  • "Characteristics of female lung cancer in Korea: analysis of Korean National Lung Cancer Registry" (2020) published in Journal of Thoracic Disease
  • "Cancer Testis Antigen, NOL4, Is an Immunogenic Antigen Specifically Expressed in Small-Cell Lung Cancer" (2021) published in Current Oncology
  • "Characteristics and clinical outcomes of patients with nonsmoking small cell lung cancer in Korea" (2022) published in BMC Pulmonary Medicine

Yeong-Dae Kim frequently collaborates with coauthors who have contributed multiple works together. Frequent collaborators include:

  • Hyo Yeong Ahn
  • Jeong Su Cho
  • I Hoseok
  • Jung Seop Eom
  • Soojin Lee

Best Publications

  • Search Heuristics for Resource Constrained Project Scheduling

    Jae-Kwan Lee;Yeong-Dae Kim

  • Simulation-based real-time scheduling in a flexible manufacturing system

    Min Hee Kim;Yeong-Dae Kim

  • A systematic procedure for setting parameters in simulated annealing algorithms

    Moon-Won Park;Yeong-Dae Kim

  • Algorithms for a class of single-machine weighted tardiness and earliness problems

    Candace Arai Yano;Yeong-Dae Kim

  • Due-date based scheduling and control policies in a multiproduct semiconductor wafer fabrication facility

    Yeong-Dae Kim;Jung-Ug Kim;Seung-Kil Lim;Hong-Bae Jun

  • Stowage planning in maritime container transportation

    J.-G. Kang;Y.-D. Kim

  • Minimizing mean tardiness and earliness in single machine scheduling problems with unequal due-dates

    Yeong-Dae Kim;Candace Arai Yano

  • Scheduling on parallel identical machines to minimize total tardiness

    Sang-Oh Shim;Yeong-Dae Kim

  • Heuristics for Flowshop Scheduling Problems Minimizing Mean Tardiness

    Unknown

  • A simulated annealing algorithm for resource constrained project scheduling problems

    JH Cho;Yeong-Dae Kim

  • Production scheduling in a semiconductor wafer fabrication facility producing multiple product types with distinct due dates

    Yeong-Dae Kim;Jae-Gon Kim;Bum Choi;Hyung-Un Kim

  • Minimizing total tardiness of orders with reentrant lots in a hybrid flowshop

    SW Choi;Yeong-Dae Kim;GC Lee

  • A new branch and bound algorithm for minimizing mean tardiness in two-machine flowshops

    Yeong-Dae Kim

  • Adaptive inventory control models for supply chain management

    C.O. Kim;J. Jun;J.K. Baek;R.L. Smith

  • Simulated annealing and genetic algorithms for scheduling products with multi-level product structure

    Jung-Ug Kim;Yeong-Dae Kim

  • Layout planning for facilities with fixed shapes and input and output points

    Jae-Gon Kim;Yeong-Dae Kim

  • Simplification methods for accelerating simulation-based real-time scheduling in a semiconductor wafer fabrication facility

    Yeong-Dae Kim;Sang-Oh Shim;Bum Choi;Hark Hwang

  • Hierarchical Production Planning for Semiconductor Wafer Fabrication Based on Linear Programming and Discrete-Event Simulation

    June-Young Bang;Yeong-Dae Kim

  • A branch and bound algorithm for an identical parallel machine scheduling problem with a job splitting property

    Sang-Oh Shim;Yeong-Dae Kim

  • Minimizing total tardiness in permutation flowshops

    Unknown

  • Bottleneck-focused scheduling for a hybrid flowshop

    G.-C. Lee;Y.-D. Kim;S.-W. Choi

  • Minimizing the number of tardy jobs in a single-machine scheduling problem with periodic maintenance

    Ju-Yong Lee;Yeong-Dae Kim

Frequent Co-Authors

Hark Hwang
Hark Hwang Korea Advanced Institute of Science and Technology

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