Yuedong Yang

Yuedong 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 Yuedong Yang sits on this spectrum.

Yuedong 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 Yuedong Yang sits on this spectrum.

Overview

Best Publications

• Deep learning Enables Accurate Diagnosis of Novel Coronavirus (COVID-19) with CT images.

  Ying Song;Shuangjia Zheng;Liang Li;Xiang Zhang

  868
  Citations

• Capturing non-local interactions by long short-term memory bidirectional recurrent neural networks for improving prediction of protein secondary structure, backbone angles, contact numbers and solvent accessibility.

  Rhys Heffernan;Yuedong Yang;Kuldip K. Paliwal;Yaoqi Zhou

  455
  Citations

• Deep learning Enables Accurate Diagnosis of Novel Coronavirus (COVID-19) with CT images

  Song Ying;Shuangjia Zheng;Liang Li;Xiang Zhang

  455
  Citations

• Improving protein fold recognition and template-based modeling by employing probabilistic-based matching between predicted one-dimensional structural properties of query and corresponding native properties of templates

  Yuedong Yang;Eshel Faraggi;Huiying Zhao;Yaoqi Zhou

  431
  Citations

• Improving prediction of secondary structure, local backbone angles, and solvent accessible surface area of proteins by iterative deep learning.

  Rhys Heffernan;Kuldip Paliwal;James Lyons;Abdollah Dehzangi

  407
  Citations

• Improving protein disorder prediction by deep bidirectional long short-term memory recurrent neural networks.

  Jack Hanson;Yuedong Yang;Kuldip K. Paliwal;Yaoqi Zhou

  315
  Citations

• Predicting drug–protein interaction using quasi-visual question answering system

  Shuangjia Zheng;Yongjian Li;Sheng Chen;Jun Xu

  294
  Citations

• SPINE X: Improving protein secondary structure prediction by multistep learning coupled with prediction of solvent accessible surface area and backbone torsion angles

  Eshel Faraggi;Tuo Zhang;Tuo Zhang;Yuedong Yang;Yuedong Yang;Lukasz A. Kurgan;Lukasz A. Kurgan

  290
  Citations

• Sixty-five years of the long march in protein secondary structure prediction: the final stretch?

  Yuedong Yang;Jianzhao Gao;Jihua Wang;Rhys Heffernan

  281
  Citations

• Specific interactions for ab initio folding of protein terminal regions with secondary structures

  Yuedong Yang;Yaoqi Zhou

  271
  Citations

• Predicting Retrosynthetic Reactions Using Self-Corrected Transformer Neural Networks.

  Shuangjia Zheng;Jiahua Rao;Zhongyue Zhang;Jun Xu;Jun Xu

  251
  Citations

• Structural insights into the histone H1-nucleosome complex

  Bing-Rui Zhou;Hanqiao Feng;Hidenori Kato;Liang Dai

  231
  Citations

• Improving prediction of protein secondary structure, backbone angles, solvent accessibility and contact numbers by using predicted contact maps and an ensemble of recurrent and residual convolutional neural networks

  Jack Hanson;Kuldip K. Paliwal;Thomas Litfin;Yuedong Yang

  223
  Citations

• JAK2-binding long noncoding RNA promotes breast cancer brain metastasis.

  Shouyu Wang;Ke Liang;Qingsong Hu;Ping Li

  219
  Citations

• Accurate prediction of protein contact maps by coupling residual two-dimensional bidirectional long short-term memory with convolutional neural networks.

  Jack Hanson;Kuldip K. Paliwal;Thomas Litfin;Yuedong Yang;Yuedong Yang

  197
  Citations

• SPIDER2: A Package to Predict Secondary Structure, Accessible Surface Area, and Main-Chain Torsional Angles by Deep Neural Networks

  Yuedong Yang;Rhys Heffernan;Kuldip Paliwal;James Lyons

  187
  Citations

• Predicting backbone Cα angles and dihedrals from protein sequences by stacked sparse auto-encoder deep neural network.

  James G. Lyons;Abdollah Dehzangi;Abdollah Dehzangi;Rhys Heffernan;Alok Sharma;Alok Sharma

  180
  Citations

• Structure-aware protein-protein interaction site prediction using deep graph convolutional network.

  Qianmu Yuan;Jianwen Chen;Huiying Zhao;Yaoqi Zhou

  178
  Citations

• Ab initio folding of terminal segments with secondary structures reveals the fine difference between two closely related all-atom statistical energy functions

  Yuedong Yang;Yaoqi Zhou;Yaoqi Zhou

  175
  Citations

• Integrating multi-omics data through deep learning for accurate cancer prognosis prediction

  Hua Chai;Xiang Zhou;Zhongyue Zhang;Jiahua Rao

  162
  Citations

• Community-wide assessment of protein-interface modeling suggests improvements to design methodology

  Sarel J. Fleishman;Sarel J. Fleishman;Timothy A. Whitehead;Eva Maria Strauch;Jacob E. Corn;Jacob E. Corn

  156
  Citations

• Predicting Continuous Local Structure and the Effect of Its Substitution for Secondary Structure in Fragment-Free Protein Structure Prediction

  Eshel Faraggi;Yuedong Yang;Shesheng Zhang;Yaoqi Zhou;Yaoqi Zhou

  152
  Citations

• PharmKG: a dedicated knowledge graph benchmark for bomedical data mining

  Shuangjia Zheng;Jiahua Rao;Ying Song;Jixian Zhang

  152
  Citations

• Communicative Representation Learning on Attributed Molecular Graphs

  Ying Song;Shuangjia Zheng;Zhangming Niu;Zhang-hua Fu;Zhang-hua Fu

  143
  Citations