World's Best Scientists 2026 revealed!
Chun-Hou Zheng

Chun-Hou Zheng

D-Index & Metrics

Computer Science

D-Index
38
Citations
5555
World Ranking
10317
National Ranking
1276

Chun-Hou Zheng 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 Chun-Hou Zheng 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: 253 publications — 63rd percentile

63% of scientists in this discipline score the same or lower.

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

Chun-Hou Zheng 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 Chun-Hou Zheng 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: 38 D-Index — 30th percentile

30% of scientists in this discipline score the same or lower.

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

Overview

Chun-Hou Zheng is affiliated with Qufu Normal University in China. Their research spans fields of Biochemistry, Genetics and Molecular Biology, and Computer Science, with a focus on molecular biology, cancer research, and computational methods in biology.

The scientist has contributed to several specific research topics including:

  • Gene expression and cancer classification
  • Cancer-related molecular mechanisms research
  • Single-cell and spatial transcriptomics
  • MicroRNA in disease regulation
  • Bioinformatics and genomic networks
  • Machine learning in bioinformatics
  • Circular RNAs in diseases

The recent papers by Chun-Hou Zheng include:

  • "Correntropy-Based Hypergraph Regularized NMF for Clustering and Feature Selection on Multi-Cancer Integrated Data," 2020, IEEE Transactions on Cybernetics
  • "GAERF: predicting lncRNA-disease associations by graph auto-encoder and random forest," 2020, Briefings in Bioinformatics
  • "AEMDA: inferring miRNA-disease associations based on deep autoencoder," 2020, Bioinformatics
  • "Richer fusion network for breast cancer classification based on multimodal data," 2021, BMC Medical Informatics and Decision Making
  • "A parallel multi-objective evolutionary algorithm for community detection in large-scale complex networks," 2021, Information Sciences

Frequent co-authors of Chun-Hou Zheng include Yansen Su, Jin-Xing Liu, Jianping Zhao, Ying-Lian Gao, and Yutian Wang. These collaborators have worked extensively with Zheng, as reflected by the number of joint publications.

The scientist commonly publishes in several academic venues, notably:

  • IEEE/ACM Transactions on Computational Biology and Bioinformatics
  • Briefings in Bioinformatics
  • IEEE Journal of Biomedical and Health Informatics
  • Frontiers in Genetics
  • BMC Bioinformatics

Best Publications

  • Breast cancer histopathological image classification using a hybrid deep neural network.

    Rui Yan;Fei Ren;Zihao Wang;Lihua Wang

  • Locally linear discriminant embedding: An efficient method for face recognition

    Bo Li;Chun-Hou Zheng;De-Shuang Huang

  • Tumor Clustering Using Nonnegative Matrix Factorization With Gene Selection

    Chun-Hou Zheng;De-Shuang Huang;Lei Zhang;Xiang-Zhen Kong

  • Prediction of protein-protein interactions from amino acid sequences using a novel multi-scale continuous and discontinuous feature set

    Zhu-Hong You;Lin Zhu;Chun-Hou Zheng;Hong-Jie Yu

  • Metasample-Based Sparse Representation for Tumor Classification

    Chun-Hou Zheng;Lei Zhang;To-Yee Ng;Chi Keung Shiu

  • Molecular Pattern Discovery Based on Penalized Matrix Decomposition

    Chun-Hou Zheng;Lei Zhang;Vincent To-Yee Ng;Chi Keung Shiu

  • Correntropy-Based Hypergraph Regularized NMF for Clustering and Feature Selection on Multi-Cancer Integrated Data

    Na Yu;Ming-Juan Wu;Jin-Xing Liu;Chun-Hou Zheng

  • RPCA-based tumor classification using gene expression data

    Jin-Xing Liu;Yong Xu;Chun-Hou Zheng;Heng Kong

  • Feature selection in independent component subspace for microarray data classification

    Chun-Hou Zheng;Chun-Hou Zheng;De-Shuang Huang;Li Shang;Li Shang

  • GAERF: predicting lncRNA-disease associations by graph auto-encoder and random forest.

    Qing-Wen Wu;Jun-Feng Xia;Jian-Cheng Ni;Chun-Hou Zheng

  • Comparison and integration of computational methods for deleterious synonymous mutation prediction.

    Na Cheng;Menglu Li;Le Zhao;Bo Zhang

  • Tumor Classification Based on Non-Negative Matrix Factorization Using Gene Expression Data

    Chun-Hou Zheng;To-Yee Ng;Lei Zhang;Chi-Keung Shiu

  • Richer fusion network for breast cancer classification based on multimodal data

    Rui Yan;Fa Zhang;Xiaosong Rao;Zhilong Lv

  • Robust PCA based method for discovering differentially expressed genes

    Jin-Xing Liu;Yu-Tian Wang;Chun-Hou Zheng;Wen Sha

  • AEMDA: inferring miRNA-disease associations based on deep autoencoder

    Cunmei Ji;Zhen Gao;Xu Ma;Qingwen Wu

  • A new pedestrian detection method based on combined HOG and LSS features

    Shihong Yao;Shaoming Pan;Tao Wang;Chunhou Zheng

  • Gene expression data classification using consensus independent component analysis.

    Chun-Hou Zheng;De-Shuang Huang;Xiang-Zhen Kong;Xing-Ming Zhao

  • epiACO - a method for identifying epistasis based on ant Colony optimization algorithm.

    Yingxia Sun;Junliang Shang;Jin-Xing Liu;Shengjun Li

  • Regularized Non-Negative Matrix Factorization for Identifying Differentially Expressed Genes and Clustering Samples: A Survey

    Jin-Xing Liu;Dong Wang;Ying-Lian Gao;Chun-Hou Zheng

  • Supervised Discriminative Sparse PCA for Com-Characteristic Gene Selection and Tumor Classification on Multiview Biological Data

    Chun-Mei Feng;Yong Xu;Jin-Xing Liu;Ying-Lian Gao

  • Gene differential coexpression analysis based on biweight correlation and maximum clique

    Chun-Hou Zheng;Chun-Hou Zheng;Lin Yuan;Lin Yuan;Wen Sha;Zhan-Li Sun

Frequent Co-Authors

Yong Xu
Yong Xu Harbin Institute of Technology
Qingquan Li
Qingquan Li Shenzhen University
Jian Yang
Jian Yang University of Birmingham
Xingyi Zhang
Xingyi Zhang Anhui University
Jintao Li
Jintao Li Chinese Academy of Sciences
Jiguo Yu
Jiguo Yu Qilu University of Technology
Min Zhao
Min Zhao University of the Sunshine Coast
Jingyu Yang
Jingyu Yang Nanjing University of Science and Technology
Zhu-Hong You
Zhu-Hong You Chinese Academy of Sciences
Zhao Yang Dong
Zhao Yang Dong City University of Hong Kong

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