World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
42
Citations
6370
World Ranking
8485
National Ranking
74

Kuo-Ching Ying 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 Kuo-Ching Ying 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: 128 publications — 18th percentile

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

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

Kuo-Ching Ying 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 Kuo-Ching Ying 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: 42 D-Index — 43rd percentile

43% of scientists in this discipline score the same or lower.

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

Overview

Kuo-Ching Ying is affiliated with National Taipei University of Technology in Taiwan and has made significant contributions to the field of engineering, particularly within industrial and manufacturing engineering.

They have a prolific research output with a focus on scheduling and optimization algorithms, advanced manufacturing and logistics optimization, and assembly line balancing optimization. Their work also spans optimization and search problems, manufacturing process and optimization, optimization and packing problems, and additive manufacturing and 3D printing technologies.

Their research has been frequently published in several key venues, including:

  • Annals of Operations Research
  • Computers & Industrial Engineering
  • Applied Soft Computing
  • IEEE Access
  • Expert Systems with Applications

Some recent papers authored or co-authored by Kuo-Ching Ying include:

  • "Cyber-physical assembly system-based optimization for robotic assembly sequence planning," 2021, Journal of Manufacturing Systems
  • "Deep learning-based optimization for motion planning of dual-arm assembly robots," 2021, Computers & Industrial Engineering
  • "Supply chain-oriented permutation flowshop scheduling considering flexible assembly and setup times," 2020, International Journal of Production Research

Other notable recent papers, relevant to the broader field of construction and optimization, are:

  • "Artificial Intelligence in the Construction Industry: Main Development Trajectories and Future Outlook," 2022, Applied Sciences
  • "Multi-temperature simulated annealing for optimizing mixed-blocking permutation flowshop scheduling problems," 2020, Expert Systems with Applications

Kuo-Ching Ying collaborates frequently with several researchers in the field, including:

  • Pourya Pourhejazy
  • Shih-Wei Lin
  • Chen-Yang Cheng
  • Shufen Li
  • Po-Jui Fu

Their research is mainly concentrated in engineering (108 publications), with a strong subfield focus on industrial and manufacturing engineering (98 publications). Other subfields include computer networks and communications, automotive engineering, building and construction, and control and systems engineering.

Best Publications

  • Particle swarm optimization for parameter determination and feature selection of support vector machines

    Shih-Wei Lin;Kuo-Ching Ying;Shih-Chieh Chen;Zne-Jung Lee

  • An intelligent algorithm with feature selection and decision rules applied to anomaly intrusion detection

    Shih-Wei Lin;Kuo-Ching Ying;Chou-Yuan Lee;Zne-Jung Lee

  • An ant colony system for permutation flow-shop sequencing

    Kuo-Ching Ying;Ching-Jong Liao

  • Minimising makespan in distributed permutation flowshops using a modified iterated greedy algorithm

    Shih-Wei Lin;Kuo-Ching Ying;Chien-Yi Huang

  • Applying hybrid meta-heuristics for capacitated vehicle routing problem

    Shih-Wei Lin;Zne-Jung Lee;Kuo-Ching Ying;Chou-Yuan Lee

  • Minimizing makespan for the distributed hybrid flowshop scheduling problem with multiprocessor tasks

    Kuo-Ching Ying;Shih-Wei Lin;Shih-Wei Lin;Shih-Wei Lin

  • Multiprocessor task scheduling in multistage hybrid flow-shops: an ant colony system approach

    Kuo-Ching Ying;Shih-Wei Lin

  • An enhanced ant colony optimization (EACO) applied to capacitated vehicle routing problem

    Chou-Yuan Lee;Zne-Jung Lee;Shih-Wei Lin;Kuo-Ching Ying

  • Minimizing makespan for solving the distributed no-wait flowshop scheduling problem

    Shih-Wei Lin;Kuo-Ching Ying

  • Iterated reference greedy algorithm for solving distributed no-idle permutation flowshop scheduling problems

    Kuo-Ching Ying;Shih-Wei Lin;Shih-Wei Lin;Chen-Yang Cheng;Cheng-Ding He

  • Robust scheduling on a single machine to minimize total flow time

    Chung-Cheng Lu;Shih-Wei Lin;Kuo-Ching Ying

  • Dynamic parallel machine scheduling with sequence-dependent setup times using an iterated greedy heuristic

    Kuo-Ching Ying;Hui-Miao Cheng

  • Optimization of makespan for no-wait flowshop scheduling problems using efficient matheuristics

    Shih-Wei Lin;Shih-Wei Lin;Kuo-Ching Ying

  • Makespan minimization for scheduling unrelated parallel machines with setup times

    Kuo-Ching Ying;Zne-Jung Lee;Shih-Wei Lin

  • Sequencing single-machine tardiness problems with sequence dependent setup times using an iterated greedy heuristic

    Kuo-Ching Ying;Shih-Wei Lin;Chien-Yi Huang

  • Solving single-machine total weighted tardiness problems with sequence-dependent setup times by meta-heuristics

    Shih-Wei Lin;Kuo-Ching Ying

  • ABC-based manufacturing scheduling for unrelated parallel machines with machine-dependent and job sequence-dependent setup times

    Shih-Wei Lin;Kuo-Ching Ying

  • Minimizing makespan in a blocking flowshop using a revised artificial immune system algorithm

    Shih-Wei Lin;Kuo-Ching Ying

  • Solving non-permutation flowshop scheduling problems by an effective iterated greedy heuristic

    Kuo-Ching Ying

  • Minimizing makespan and total flowtime in permutation flowshops by a bi-objective multi-start simulated-annealing algorithm

    Shih-Wei Lin;Kuo-Ching Ying

  • Real-time relief distribution in the aftermath of disasters - A rolling horizon approach

    Chung-Cheng Lu;Kuo Ching Ying;Hui Ju Chen

Frequent Co-Authors

Shih-Wei Lin
Shih-Wei Lin Chang Gung University
Jatinder N. D. Gupta
Jatinder N. D. Gupta University of Alabama in Huntsville

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