World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
54
Citations
9608
World Ranking
4643
National Ranking
34

Wei-Chang Yeh 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 Wei-Chang Yeh 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: 298 publications — 73rd percentile

73% of scientists in this discipline score the same or lower.

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

Wei-Chang Yeh 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 Wei-Chang Yeh 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: 54 D-Index — 69th percentile

69% of scientists in this discipline score the same or lower.

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

Overview

Wei-Chang Yeh is affiliated with National Tsing Hua University in Taiwan and has contributed extensively to the fields of engineering and computer science. Their research is concentrated in multiple subfields including safety, risk, reliability and quality; software; statistics, probability and uncertainty; control and systems engineering; and artificial intelligence.

Their body of work includes a significant focus on reliability and maintenance optimization, software reliability and analysis research, risk and safety analysis, power system reliability and maintenance, smart grid security and resilience, metaheuristic optimization algorithms research, and probabilistic and robust engineering design.

Wei-Chang Yeh has published numerous papers in recognized venues, with some of the most frequent publication platforms being arXiv (Cornell University), Reliability Engineering & System Safety, Applied Sciences, Electronics, and IEEE Access.

Among recent papers authored or co-authored by Wei-Chang Yeh are:

  • New genetic algorithm for economic dispatch of stand-alone three-modular microgrid in DongAo Island, 2020, Applied Energy
  • A quick BAT for evaluating the reliability of binary-state networks, 2021, Reliability Engineering & System Safety

Additional recent papers (co-authored with others) relevant to this scientific area include:

  • Enhancing MOEA/D with information feedback models for large-scale many-objective optimization, 2020, Information Sciences
  • The Vehicle Routing Problem: State-of-the-Art Classification and Review, 2021, Applied Sciences
  • DLEA: A dynamic learning evolution algorithm for many-objective optimization, 2021, Information Sciences

Frequent collaborators include Chia-Ling Huang, Shi-Yi Tan, Wenbo Zhu, Yunzhi Jiang, and Zhenyao Liu, with collaboration counts ranging from 9 to 22 joint works. This suggests a consistent engagement within a collaborative research network.

Best Publications

  • Using multi-objective genetic algorithm for partner selection in green supply chain problems

    Wei-Chang Yeh;Mei-Chi Chuang

  • Forecasting stock markets using wavelet transforms and recurrent neural networks: An integrated system based on artificial bee colony algorithm

    Tsung-Jung Hsieh;Hsiao-Fen Hsiao;Wei-Chang Yeh

  • Solving reliability redundancy allocation problems using an artificial bee colony algorithm

    Wei-Chang Yeh;Tsung-Jung Hsieh

  • A two-stage discrete particle swarm optimization for the problem of multiple multi-level redundancy allocation in series systems

    Wei-Chang Yeh

  • Enhancing MOEA/D with information feedback models for large-scale many-objective optimization

    Yin Zhang;Gai-Ge Wang;Keqin Li;Wei-Chang Yeh

  • A new hybrid approach for mining breast cancer pattern using discrete particle swarm optimization and statistical method

    Wei-Chang Yeh;Wei-Wen Chang;Yuk Ying Chung

  • Parameters extraction of solar cell models using a modified simplified swarm optimization algorithm

    Peijie Lin;Shuying Cheng;Weichang Yeh;Zhicong Chen

  • A Particle Swarm Optimization Approach Based on Monte Carlo Simulation for Solving the Complex Network Reliability Problem

    Wei-Chang Yeh;Yi-Cheng Lin;Yuk Ying Chung;Mingchang Chih

  • A revised layered-network algorithm to search for all d-minpaths of a limited-flow acyclic network

    Wei-Chang Yeh

  • New Parameter-Free Simplified Swarm Optimization for Artificial Neural Network Training and its Application in the Prediction of Time Series

    Wei-Chang Yeh

  • Feature selection with Intelligent Dynamic Swarm and Rough Set

    Changseok Bae;Wei-Chang Yeh;Yuk Ying Chung;Sin-Long Liu

  • A simple approach to search for all d-MCs of a limited-flow network

    Wei-Chang Yeh

  • An improved sum-of-disjoint-products technique for the symbolic network reliability analysis with known minimal paths

    Wei-Chang Yeh

  • The Vehicle Routing Problem: State-of-the-Art Classification and Review

    Unknown

  • Optimization of the Disassembly Sequencing Problem on the Basis of Self-Adaptive Simplified Swarm Optimization

    Wei-Chang Yeh

  • A simple minimal path method for estimating the weighted multi-commodity multistate unreliable networks reliability

    Wei-Chang Yeh

  • Simplified swarm optimization in disassembly sequencing problems with learning effects

    Wei-Chang Yeh

  • A Hybrid Heuristic Algorithm For The Multistage Supply Chain Network Problem

    Wei-Chang Yeh

  • Forecasting wind power in the Mai Liao Wind Farm based on the multi-layer perceptron artificial neural network model with improved simplified swarm optimization

    Wei-Chang Yeh;Wei-Chang Yeh;Yuan-Ming Yeh;Po-Chun Chang;Yun-Chin Ke

  • Multistate network reliability evaluation under the maintenance cost constraint

    Wei-Chang Yeh

  • A Simple Algorithm To Search For All D-Mps With Unreliable Nodes

    Wei-Chang Yeh

  • Simplified Swarm Optimization Algorithm for reliability redundancy allocation problems

    Chia-Ling Huang;Wei-Chang Yeh

Frequent Co-Authors

Xiangjian He
Xiangjian He University of Technology Sydney
Xiao-Ming Chen
Xiao-Ming Chen Sun Yat-sen University
Wen-Chiung Lee
Wen-Chiung Lee Feng Chia University
Gai-Ge Wang
Gai-Ge Wang Ocean University of China
Ming J. Zuo
Ming J. Zuo University of Alberta
Ren Ping Liu
Ren Ping Liu University of Technology Sydney
Gregory Levitin
Gregory Levitin Southwest Jiaotong University
Raja Jurdak
Raja Jurdak Queensland University of Technology
Longbing Cao
Longbing Cao University of Technology Sydney
Kea-Tiong Tang
Kea-Tiong Tang National Tsing Hua University

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