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Wei-Chang Yeh

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Computer Science 54 4643 4514 34 34 298 9608

Wei-Chang Yeh publications per year

The chart shows the history of publications by Wei-Chang Yeh between 1998 and 2026, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Wei-Chang Yeh published across 29 years, from 1998 to 2026, averaging 12.4 papers a year. Output peaked at 31 publications in 2022. 22 of the 360 publications appeared in the last two years.

No. of publications
10 20 30
Bar chart. Horizontal axis: year, 1998 to 2026. Vertical axis: number of publications, 0 to 31. Peak 31 publications in 2022. 1998: 2 publications 1999: 1 publication 2000: 0 publications 2001: 5 publications 2002: 9 publications 2003: 4 publications 2004: 4 publications 2005: 5 publications 2006: 5 publications 2007: 8 publications 2008: 10 publications 2009: 8 publications 2010: 11 publications 2011: 20 publications 2012: 21 publications 2013: 11 publications 2014: 10 publications 2015: 17 publications 2016: 18 publications 2017: 17 publications 2018: 13 publications 2019: 24 publications 2020: 20 publications 2021: 26 publications 2022: 31 publications 2023: 19 publications 2024: 19 publications 2025: 21 publications 2026: 1 publication
1998 2026

360 publications in total across all disciplines

View publications per year as a table
Wei-Chang Yeh: publications per year, 1998 to 2026
Year Publications
1998 2
1999 1
2000 0
2001 5
2002 9
2003 4
2004 4
2005 5
2006 5
2007 8
2008 10
2009 8
2010 11
2011 20
2012 21
2013 11
2014 10
2015 17
2016 18
2017 17
2018 13
2019 24
2020 20
2021 26
2022 31
2023 19
2024 19
2025 21
2026 1
Total 360
Download as CSV

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.

No. of scientists
200 400 600
Bar chart with 97 bars. Horizontal axis: publications, 32–41 to 991+. Vertical axis: number of scientists, 0 to 609. Most scientists, 609, have 142–151 publications. The last bar groups every scientist with 991 publications or more. The highlighted bar, 292–301 publications, is where this scientist sits. 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
32–41 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.

View publications distribution as a table
Number of Computer Science scientists by publication count, Research.com 2026 ranking edition. Based on 14,188 ranked scientists.
Publications Scientists This scientist
32–41 7
42–51 22
52–61 82
62–71 134
72–81 249
82–91 324
92–101 421
102–111 420
112–121 497
122–131 544
132–141 555
142–151 609
152–161 559
162–171 534
172–181 556
182–191 583
192–201 519
202–211 508
212–221 490
222–231 437
232–241 423
242–251 408
252–261 377
262–271 301
272–281 335
282–291 320
292–301 293 298
302–311 250
312–321 238
322–331 206
332–341 209
342–351 208
352–361 162
362–371 176
372–381 127
382–391 158
392–401 128
402–411 104
412–421 94
422–431 99
432–441 83
442–451 108
452–461 73
462–471 77
472–481 69
482–491 84
492–501 62
502–511 54
512–521 57
522–531 51
532–541 51
542–551 32
552–561 38
562–571 28
572–581 43
582–591 33
592–601 41
602–611 32
612–621 28
622–631 25
632–641 27
642–651 17
652–661 20
662–671 17
672–681 15
682–691 14
692–701 21
702–711 13
712–721 12
722–731 19
732–741 14
742–751 12
752–761 10
762–771 10
772–781 11
782–791 10
792–801 11
802–811 8
812–821 8
822–831 7
832–841 11
842–851 10
852–861 5
862–871 9
872–881 4
882–891 6
892–901 3
902–911 6
912–921 3
922–931 2
932–941 2
942–951 2
952–961 3
962–971 3
972–981 3
982–990 5
991+ 100
Download as CSV

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.

No. of scientists
200 400 600 800
Bar chart with 52 bars. Horizontal axis: D-Index, 30–31 to 131+. Vertical axis: number of scientists, 0 to 990. Most scientists, 990, have 36–37 D-Index. The last bar groups every scientist with 131 D-Index or more. The highlighted bar, 54–55 D-Index, is where this scientist sits. 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
30–31 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.

View D-Index distribution as a table
Number of Computer Science scientists by D-index, Research.com 2026 ranking edition. Based on 14,188 ranked scientists.
D-Index Scientists This scientist
30–31 879
32–33 983
34–35 918
36–37 990
38–39 968
40–41 907
42–43 821
44–45 763
46–47 689
48–49 543
50–51 543
52–53 518
54–55 500 54
56–57 458
58–59 400
60–61 337
62–63 308
64–65 292
66–67 249
68–69 213
70–71 192
72–73 189
74–75 165
76–77 139
78–79 119
80–81 121
82–83 113
84–85 88
86–87 87
88–89 75
90–91 69
92–93 57
94–95 46
96–97 38
98–99 34
100–101 36
102–103 27
104–105 37
106–107 18
108–109 31
110–111 19
112–113 16
114–115 12
116–117 20
118–119 15
120–121 5
122–123 20
124–125 8
126–127 5
128–129 7
130 3
131+ 98
Download as CSV

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

External Links

Personal website of Wei-Chang Yeh Google Scholar page

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