Shanfeng Zhu

Shanfeng Zhu 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 Shanfeng Zhu sits on this spectrum.

Shanfeng Zhu 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 Shanfeng Zhu sits on this spectrum.

Best Publications

• Similarity-based machine learning methods for predicting drug–target interactions: a brief review

  Hao Ding;Ichigaku Takigawa;Hiroshi Mamitsuka;Shanfeng Zhu

  456
  Citations

• Collaborative matrix factorization with multiple similarities for predicting drug-target interactions

  Xiaodong Zheng;Hao Ding;Hiroshi Mamitsuka;Shanfeng Zhu

  340
  Citations

• GOLabeler: improving sequence-based large-scale protein function prediction by learning to rank

  Ronghui You;Zihan Zhang;Yi Xiong;Fengzhu Sun;Fengzhu Sun

  214
  Citations

• AttentionXML: Label Tree-based Attention-Aware Deep Model for High-Performance Extreme Multi-Label Text Classification

  Ronghui You;Zihan Zhang;Ziye Wang;Suyang Dai

  169
  Citations

• Toward more accurate pan-specific MHC-peptide binding prediction: a review of current methods and tools

  Lianming Zhang;Keiko Udaka;Hiroshi Mamitsuka;Shanfeng Zhu

  156
  Citations

• NetGO: improving large-scale protein function prediction with massive network information

  Ronghui You;Ronghui You;Shuwei Yao;Shuwei Yao;Yi Xiong;Xiaodi Huang

  149
  Citations

• DrugE-Rank: improving drug–target interaction prediction of new candidate drugs or targets by ensemble learning to rank

  Qingjun Yuan;Junning Gao;Dongliang Wu;Shihua Zhang

  143
  Citations

• A probabilistic model for mining implicit ‘chemical compound–gene’ relations from literature

  Shanfeng Zhu;Yasushi Okuno;Gozoh Tsujimoto;Hiroshi Mamitsuka

  130
  Citations

• DeepGraphGO: graph neural network for large-scale, multispecies protein function prediction.

  Ronghui You;Shuwei Yao;Hiroshi Mamitsuka;Hiroshi Mamitsuka;Shanfeng Zhu

  129
  Citations

• DeepMeSH: deep semantic representation for improving large-scale MeSH indexing

  Shengwen Peng;Ronghui You;Hongning Wang;Chengxiang Zhai

  128
  Citations

• Enhancing MEDLINE document clustering by incorporating MeSH semantic similarity

  Shanfeng Zhu;Jia Zeng;Hiroshi Mamitsuka

  121
  Citations

• NetGO 2.0: improving large-scale protein function prediction with massive sequence, text, domain, family and network information.

  Unknown

  121
  Citations

• Enhancing quantitative intra-day stock return prediction by integrating both market news and stock prices information

  Xiaodong Li;Xiaodi Huang;Xiaotie Deng;Xiaotie Deng;Shanfeng Zhu

  88
  Citations

• NetGO 3.0: Protein Language Model Improves Large-Scale Functional Annotations

  Unknown

  86
  Citations

• Does Summarization Help Stock Prediction? A News Impact Analysis

  Xiaodong Li;Haoran Xie;Yangqiu Song;Shanfeng Zhu

  83
  Citations

• DeepText2GO: Improving large-scale protein function prediction with deep semantic text representation.

  Unknown

  81
  Citations

• SolidBin: improving metagenome binning with semi-supervised normalized cut.

  Ziye Wang;Zhengyang Wang;Yang Young Lu;Fengzhu Sun;Fengzhu Sun

  78
  Citations

• MeSHLabeler: improving the accuracy of large-scale MeSH indexing by integrating diverse evidence.

  Ke Liu;Shengwen Peng;Junqiu Wu;Chengxiang Zhai

  77
  Citations

• Improving stock market prediction by integrating both market news and stock prices

  Xiaodong Li;Chao Wang;Jiawei Dong;Feng Wang

  72
  Citations

• AttentionXML: Label Tree-based Attention-Aware Deep Model for High-Performance Extreme Multi-Label Text Classification

  Ronghui You;Zihan Zhang;Ziye Wang;Suyang Dai

  61
  Citations