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

Chun-Hou Zheng

D-Index & Metrics

Computer Science

D-Index
38
Citations
5555
World Ranking
10319
National Ranking
1276

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
Xingyi Zhang
Xingyi Zhang Anhui University
Jintao Li
Jintao Li Chinese Academy of Sciences
Min Zhao
Min Zhao University of the Sunshine Coast
Jiguo Yu
Jiguo Yu Qilu University of Technology
Fang-Xiang Wu
Fang-Xiang Wu University of Saskatchewan
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

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring online Computer Science degrees in the USA opens doors to a variety of educational and professional routes. For students focused on affordability, finding the cheapest online college can help reduce the financial burden while still providing a quality education. If you’re concerned about academic requirements, many programs are available that cater to those searching for a college with low gpa, making computer science more accessible.

Looking to accelerate your studies? An online computer science accelerated program allows motivated learners to finish their degree faster and enter the workforce sooner. Additionally, students interested in interdisciplinary careers may consider related fields. For example, you can use a background in technology to pursue unique roles—see what’s possible by checking out what can you get with an environmental science degree.

Exploring these options ensures you find a path that fits your personal goals, budget, and timeline as you plan for a rewarding career in technology or related sectors.

Best Scientists Citing Chun-Hou Zheng

Trending Scientists

Recently Published Articles