Fanhua Shang

Fanhua Shang 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 Fanhua Shang sits on this spectrum.

Fanhua Shang 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 Fanhua Shang sits on this spectrum.

Best Publications

• Graph dual regularization non-negative matrix factorization for co-clustering

  Fanhua Shang;L. C. Jiao;Fei Wang

  327
  Citations

• Video Super Resolution Based on Deep Learning: A comprehensive survey

  Unknown

  192
  Citations

• Bilinear Factor Matrix Norm Minimization for Robust PCA: Algorithms and Applications

  Fanhua Shang;James Cheng;Yuanyuan Liu;Zhi-Quan Luo

  173
  Citations

• Trace Norm Regularized CANDECOMP/PARAFAC Decomposition With Missing Data

  Yuanyuan Liu;Fanhua Shang;Licheng Jiao;James Cheng

  132
  Citations

• Fast affinity propagation clustering: A multilevel approach

  Fanhua Shang;L. C. Jiao;Jiarong Shi;Fei Wang

  120
  Citations

• LRR for Subspace Segmentation via Tractable Schatten- $p$ Norm Minimization and Factorization

  Hengmin Zhang;Jian Yang;Fanhua Shang;Chen Gong

  96
  Citations

• A fast tri-factorization method for low-rank matrix recovery and completion

  Yuanyuan Liu;L. C. Jiao;Fanhua Shang

  78
  Citations

• Local discriminative based sparse subspace learning for feature selection

  Ronghua Shang;Yang Meng;Wenbing Wang;Fanhua Shang

  73
  Citations

• Generalized Higher-Order Orthogonal Iteration for Tensor Decomposition and Completion

  Yuanyuan Liu;Fanhua Shang;Wei Fan;James Cheng

  72
  Citations

• A Simple Stochastic Variance Reduced Algorithm with Fast Convergence Rates

  Kaiwen Zhou;Fanhua Shang;James Cheng

  71
  Citations

• Sparse and low-redundant subspace learning-based dual-graph regularized robust feature selection

  Ronghua Shang;Kaiming Xu;Fanhua Shang;Licheng Jiao

  67
  Citations

• Semi-Supervised Graph Regularized Deep NMF With Bi-Orthogonal Constraints for Data Representation

  Yang Meng;Ronghua Shang;Fanhua Shang;Licheng Jiao

  67
  Citations

• VR-SGD: A Simple Stochastic Variance Reduction Method for Machine Learning

  Fanhua Shang;Kaiwen Zhou;Hongying Liu;James Cheng

  67
  Citations

• Robust Principal Component Analysis with Missing Data

  Fanhua Shang;Yuanyuan Liu;James Cheng;Hong Cheng

  66
  Citations

• Review: Sparse coding and classifier ensemble based multi-instance learning for image categorization

  Xiangfa Song;L. C. Jiao;Shuyuan Yang;Xiangrong Zhang

  64
  Citations

• An Efficient Matrix Factorization Method for Tensor Completion

  Yuanyuan Liu;Fanhua Shang

  61
  Citations

• Generalized Higher Order Orthogonal Iteration for Tensor Learning and Decomposition

  Yuanyuan Liu;Fanhua Shang;Wei Fan;James Cheng

  59
  Citations

• Dual space latent representation learning for unsupervised feature selection

  Ronghua Shang;Lujuan Wang;Fanhua Shang;Licheng Jiao

  53
  Citations

• An efficient matrix factorization based low-rank representation for subspace clustering

  Yuanyuan Liu;L. C. Jiao;Fanhua Shang

  48
  Citations

• CU-Net: Cascaded U-Net with Loss Weighted Sampling for Brain Tumor Segmentation

  Hongying Liu;Xiongjie Shen;Fanhua Shang;Feihang Ge

  48
  Citations