World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
37
Citations
4392
World Ranking
10928
National Ranking
99

Peng-Yeng Yin 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 Peng-Yeng Yin 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: 105 publications — 10th percentile

10% of scientists in this discipline score the same or lower.

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

Peng-Yeng Yin 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 Peng-Yeng Yin 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: 37 D-Index — 27th percentile

27% of scientists in this discipline score the same or lower.

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

Overview

Peng-Yeng Yin is affiliated with National Chi Nan University in Taiwan and conducts research primarily in Environmental Science, Computer Science, and Engineering. Their scholarly output includes notable contributions to Environmental Engineering, Artificial Intelligence, Health, Toxicology and Mutagenesis, Industrial and Manufacturing Engineering, and Global and Planetary Change.

The primary topics addressed in Yin's work are focused on Air Quality Monitoring and Forecasting, Air Quality and Health Impacts, Atmospheric Chemistry and Aerosols, Metaheuristic Optimization Algorithms, the COVID-19 impact on air quality, Scheduling and Optimization Algorithms, and Evolutionary Algorithms and Applications.

Some of the recent publications authored by Peng-Yeng Yin include:

  • Risk-aware optimal planning for a hybrid wind-solar farm, 2020, Renewable Energy
  • Improving PM2.5 Concentration Forecast with the Identification of Temperature Inversion, 2021, Applied Sciences
  • Minimizing the Makespan in Flowshop Scheduling for Sustainable Rubber Circular Manufacturing, 2021, Sustainability
  • A Machine Learning-Based Ensemble Framework for Forecasting PM2.5 Concentrations in Puli, Taiwan, 2022, Applied Sciences

Yin's research frequently appears in journals such as Applied Sciences, Sustainability, Renewable Energy, Symmetry, and Mathematical Biosciences & Engineering.

Collaborations include frequent co-authorship with Rong-Fuh Day, Ray-I Chang, Hsin-Min Chen, Ying-Chieh Wei, and Chun-Ying Cheng. These partnerships have contributed to the multidisciplinary scope of Yin's work.

Best Publications

  • Multilevel minimum cross entropy threshold selection based on particle swarm optimization

    Peng-Yeng Yin

  • A Heuristic Algorithm for planning personalized learning paths for context-aware ubiquitous learning

    Gwo-Jen Hwang;Fan-Ray Kuo;Peng-Yeng Yin;Kuo-Hsien Chuang

  • A fast scheme for optimal thresholding using genetic algorithms

    Peng-Yeng Yin

  • A discrete particle swarm algorithm for optimal polygonal approximation of digital curves

    Peng-Yeng Yin

  • A hybrid particle swarm optimization algorithm for optimal task assignment in distributed systems

    Peng-Yeng Yin;Shiuh-Sheng Yu;Pei-Pei Wang;Yi-Te Wang

  • Application of ant colony optimization for no-wait flowshop scheduling problem to minimize the total completion time

    S. J. Shyu;B. M. T. Lin;P. Y. Yin

  • Integrating relevance feedback techniques for image retrieval using reinforcement learning

    Peng-Yeng Yin;B. Bhanu;Kuang-Cheng Chang;Anlei Dong

  • Ant colony search algorithms for optimal polygonal approximation of plane curves

    Peng-Yeng Yin

  • An ant colony optimization algorithm for the minimum weight vertex cover problem

    Shyong Jian Shyu;Peng-Yeng Yin;Bertrand M.T. Lin

  • Task allocation for maximizing reliability of a distributed system using hybrid particle swarm optimization

    Peng-Yeng Yin;Shiuh-Sheng Yu;Pei-Pei Wang;Yi-Te Wang

  • A fast iterative scheme for multilevel thresholding methods

    Peng-Yeng Yin;Ling-Hwei Chen

  • A particle swarm optimization approach to the nonlinear resource allocation problem

    Peng-Yeng Yin;Jing-Yu Wang

  • A new circle/ellipse detector using genetic algorithms

    Peng-Yeng Yin

  • Adaptive memory artificial bee colony algorithm for green vehicle routing with cross-docking

    Peng-Yeng Yin;Ya-Lan Chuang

  • Ant colony optimization for the nonlinear resource allocation problem

    Peng-Yeng Yin;Jing-Yu Wang

  • Maximum entropy-based optimal threshold selection using deterministic reinforcement learning with controlled randomization

    Peng-Yeng Yin

  • Multi-objective task allocation in distributed computing systems by hybrid particle swarm optimization

    Peng-Yeng Yin;Shiuh-Sheng Yu;Pei-Pei Wang;Yi-Te Wang

  • A new method for polygonal approximation using genetic algorithms

    Peng-Yeng Yin

  • Particle swarm optimization for point pattern matching

    Peng-Yeng Yin

  • An Enhanced Genetic Approach to Composing Cooperative Learning Groups for Multiple Grouping Criteria.

    Gwo Jen Hwang;Peng Yeng Yin;Chi Wei Hwang;Chin Chung Tsai

Frequent Co-Authors

Gwo-Jen Hwang
Gwo-Jen Hwang National Taiwan University of Science and Technology
Bir Bhanu
Bir Bhanu University of California, Riverside
Fred Glover
Fred Glover University of Colorado Boulder
Manuel Laguna
Manuel Laguna University of Colorado Boulder
Youcef Djenouri
Youcef Djenouri University of South-Eastern Norway
Yiannis Papadopoulos
Yiannis Papadopoulos University of Hull
Chin Chung Tsai
Chin Chung Tsai National Taiwan Normal University
Mohamed Haouari
Mohamed Haouari Qatar University

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