World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
33
Citations
4924
World Ranking
12642
National Ranking
114

Cheng-Hong Yang 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 Cheng-Hong Yang 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: 241 publications — 60th percentile

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

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

Cheng-Hong Yang 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 Cheng-Hong Yang 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: 33 D-Index — 13th percentile

13% of scientists in this discipline score the same or lower.

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

Overview

Cheng-Hong Yang is a researcher affiliated with the National Kaohsiung University of Applied Sciences in Taiwan. Their primary research contributions focus on the intersection of biochemistry, genetics, molecular biology, and applied computational techniques, reflecting a multidisciplinary approach to scientific challenges.

The main fields of study in their work include:

  • Biochemistry, Genetics and Molecular Biology

The subfields where Cheng-Hong Yang has published include:

  • Molecular Biology
  • Management Science and Operations Research
  • Artificial Intelligence
  • Environmental Engineering
  • Electrical and Electronic Engineering

Their research topics cover a diverse range of areas such as:

  • Stock Market Forecasting Methods
  • Gene expression and cancer classification
  • Energy Load and Power Forecasting
  • Forecasting Techniques and Applications
  • Dialysis and Renal Disease Management
  • Cancer Genomics and Diagnostics
  • Grey System Theory Applications

Cheng-Hong Yang has contributed to multiple scientific publications notable for their presence in specific journals and proceedings. Frequent publication venues include:

  • Mathematics
  • IEEE Access
  • Expert Systems with Applications
  • Therapeutic Advances in Chronic Disease
  • Computational Intelligence and Neuroscience

Noteworthy recent publications by Cheng-Hong Yang feature research in forecasting techniques and biomedical data analysis:

  • "AIS-Based Intelligent Vessel Trajectory Prediction Using Bi-LSTM," 2022, IEEE Access
  • "Long Short-Term Memory Recurrent Neural Network for Tidal Level Forecasting," 2020, IEEE Access
  • "Applications of Deep Learning and Fuzzy Systems to Detect Cancer Mortality in Next-Generation Genomic Data," 2020, IEEE Transactions on Fuzzy Systems

Other significant papers linked to their network of coauthors include:

  • "Effective multinational trade forecasting using LSTM recurrent neural network," 2021, Expert Systems with Applications
  • "Analyzing the Performance of Machine Learning Techniques in Disease Prediction," 2022, Journal of Food Quality

Cheng-Hong Yang's frequent collaborators, suggesting a network of joint research efforts, include:

  • Li-Yeh Chuang
  • Yu-Da Lin
  • Sin-Hua Moi
  • Chih-Hsien Wu
  • Jin-Bor Chen

Best Publications

  • Improved binary PSO for feature selection using gene expression data

    Li-Yeh Chuang;Hsueh-Wei Chang;Chung-Jui Tu;Cheng-Hong Yang

  • Improved binary particle swarm optimization using catfish effect for feature selection

    Li-Yeh Chuang;Sheng-Wei Tsai;Cheng-Hong Yang

  • Chaotic maps based on binary particle swarm optimization for feature selection

    Li-Yeh Chuang;Cheng-Hong Yang;Jung-Chike Li

  • Chaotic particle swarm optimization for data clustering

    Li-Yeh Chuang;Chih-Jen Hsiao;Cheng-Hong Yang

  • Feature Selection using PSO-SVM.

    Chung-Jui Tu;Li-Yeh Chuang;Jun-Yang Chang;Cheng-Hong Yang

  • Specific primer design for the polymerase chain reaction.

    Li-Yeh Chuang;Yu-Huei Cheng;Cheng-Hong Yang

  • IG-GA: A Hybrid Filter/Wrapper Method for Feature Selection of Microarray Data

    Cheng-Huei Yang;Li-Yeh Chuang;Cheng-Hong Yang

  • A hybrid feature selection method for DNA microarray data

    Li-Yeh Chuang;Cheng-Huei Yang;Kuo-Chuan Wu;Cheng-Hong Yang

  • Chaotic catfish particle swarm optimization for solving global numerical optimization problems

    Li-Yeh Chuang;Sheng-Wei Tsai;Cheng-Hong Yang;Cheng-Hong Yang

  • Gene selection and classification using Taguchi chaotic binary particle swarm optimization

    Li-Yeh Chuang;Cheng-San Yang;Kuo-Chuan Wu;Cheng-Hong Yang

  • Evaluation of Breast Cancer Susceptibility Using Improved Genetic Algorithms to Generate Genotype SNP Barcodes

    Cheng-Hong Yang;Yu-Da Lin;Li-Yeh Chaung;Hsueh-Wei Chang

  • An Improved PSO Algorithm for Generating Protective SNP Barcodes in Breast Cancer

    Li-Yeh Chuang;Yu-Da Lin;Hsueh-Wei Chang;Cheng-Hong Yang

  • Tabu search and binary particle swarm optimization for feature selection using microarray data.

    Li-Yeh Chuang;Cheng-Huei Yang;Cheng-Hong Yang

  • A hybrid BPSO-CGA approach for gene selection and classification of microarray data.

    Li-Yeh Chuang;Cheng-Huei Yang;Jung-Chike Li;Cheng-Hong Yang

  • SNP-RFLPing: restriction enzyme mining for SNPs in genomes.

    Hsueh-Wei Chang;Cheng-Hong Yang;Phei-Lang Chang;Yu-Huei Cheng

  • SNP-RFLPing 2: an updated and integrated PCR-RFLP tool for SNP genotyping

    Hsueh-Wei Chang;Yu-Huei Cheng;Li-Yeh Chuang;Cheng-Hong Yang;Cheng-Hong Yang

  • Chaotic maps in binary particle swarm optimization for feature selection

    Cheng-San Yang;Li-Yeh Chuang;Jung-Chike Li;Cheng-Hong Yang

  • Sequence-Based Polymorphisms in the Mitochondrial D-Loop and Potential SNP Predictors for Chronic Dialysis

    Jin-Bor Chen;Yi-Hsin Yang;Wen-Chin Lee;Chia-Wei Liou

  • Long Short-Term Memory Recurrent Neural Network for Tidal Level Forecasting

    Cheng-Hong Yang;Chih-Hsien Wu;Chih-Min Hsieh

  • Computational analysis of simulated SNP interactions between 26 growth factor-related genes in a breast cancer association study.

    Cheng-Hong Yang;Li-Yeh Chuang;Yu-Jung Chen;Hung-Fu Tseng

  • Effective Multinational Trade Forecasting using LSTM Recurrent Neural Network

    Mei-Li Shen;Cheng-Feng Lee;Hsiou-Hsiang Liu;Po-Yin Chang

  • CMDR based differential evolution identifies the epistatic interaction in genome-wide association studies.

    Cheng-Hong Yang;Cheng-Hong Yang;Li-Yeh Chuang;Yu-Da Lin

  • Boolean binary particle swarm optimization for feature selection

    Cheng-San Yang;Li-Yeh Chuang;Chao-Hsuan Ke;Cheng-Hong Yang

Frequent Co-Authors

Cheng Wen Lin
Cheng Wen Lin China Medical University

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