World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
49
Citations
8294
World Ranking
5951
National Ranking
46

Shih-Wei Lin 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 Shih-Wei Lin 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: 148 publications — 26th percentile

26% of scientists in this discipline score the same or lower.

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

Shih-Wei Lin 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 Shih-Wei Lin 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: 49 D-Index — 60th percentile

60% of scientists in this discipline score the same or lower.

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

Overview

Shih-Wei Lin is affiliated with Chang Gung University in Taiwan and specializes in engineering, with a strong focus on industrial and manufacturing engineering. Their research spans multiple subfields, including electrical and electronic engineering, automotive engineering, building and construction, and computer networks and communications.

The primary topics covered by Shih-Wei Lin's work include advanced manufacturing and logistics optimization, scheduling and optimization algorithms, vehicle routing optimization methods, assembly line balancing optimization, transportation and mobility innovations, urban and freight transport logistics, and various optimization and packing problems.

Frequent publication venues for their research encompass:

  • Mathematics
  • IEEE Access
  • SSRN Electronic Journal
  • Expert Systems with Applications
  • Computers & Industrial Engineering

Shih-Wei Lin collaborates regularly with several coauthors, notably:

  • Kuo-Ching Ying
  • Vincent F. Yu
  • Pourya Pourhejazy
  • Chen-Yang Cheng
  • Panca Jodiawan

Among recent publications authored or coauthored by Shih-Wei Lin are:

  • Multi-temperature simulated annealing for optimizing mixed-blocking permutation flowshop scheduling problems, 2020, Expert Systems with Applications
  • New benchmark algorithm for hybrid flowshop scheduling with identical machines, 2021, Expert Systems with Applications

Other related works by frequent coauthor Vincent F. Yu include:

  • A Simulated Annealing Algorithm for the Vehicle Routing Problem With Parcel Lockers, 2022, IEEE Access
  • The Vehicle Routing Problem with Simultaneous Pickup and Delivery and Parcel Lockers, 2022, Mathematics

Additional relevant research from Kuo-Ching Ying includes:

  • Solving no-wait job-shop scheduling problems using a multi-start simulated annealing with bi-directional shift timetabling algorithm, 2020, Computers & Industrial 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

  • Parameter determination of support vector machine and feature selection using simulated annealing approach

    Shih-Wei Lin;Zne-Jung Lee;Shih-Chieh Chen;Tsung-Yuan Tseng

  • A simulated annealing heuristic for the capacitated location routing problem

    Vincent F. Yu;Shih-Wei Lin;Wenyih Lee;Ching-Jung Ting

  • 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

  • Solving the truck and trailer routing problem based on a simulated annealing heuristic

    Shih-Wei Lin;Vincent F. Yu;Shuo-Yan Chou

  • 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

  • A simulated annealing heuristic for the truck and trailer routing problem with time windows

    Shih-Wei Lin;Vincent F. Yu;Chung-Cheng Lu

  • A simulated annealing heuristic for the team orienteering problem with time windows

    Shih-Wei Lin;Vincent F. Yu

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

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

  • Dynamic parking negotiation and guidance using an agent-based platform

    Shuo-Yan Chou;Shih-Wei Lin;Chien-Chang Li

  • 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

  • Combining support vector machine with genetic algorithm to classify ultrasound breast tumor images.

    Wen Jie Wu;Shih Wei Lin;Woo Kyung Moon

  • 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

  • Multi-start simulated annealing heuristic for the location routing problem with simultaneous pickup and delivery

    Vincent F. Yu;Shih-Wei Lin

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

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

  • 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

Frequent Co-Authors

Kuo-Ching Ying
Kuo-Ching Ying National Taipei University of Technology
Vincent F. Yu
Vincent F. Yu National Taiwan University of Science and Technology
Chih-Cheng Hsieh
Chih-Cheng Hsieh National Tsing Hua University
Jatinder N. D. Gupta
Jatinder N. D. Gupta University of Alabama in Huntsville
Shun-Feng Su
Shun-Feng Su National Taiwan University of Science and Technology
Woo Kyung Moon
Woo Kyung Moon Seoul National University Hospital

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