D-Index & Metrics Best Publications

Yuedong Yang

Sun Yat-sen University
China

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Discipline name Citations Publications World Ranking National Ranking

Computer Science D-index 35 Citations 5,891 118 World Ranking 7595 National Ranking 751

Overview

What is he best known for?

The fields of study Yuedong Yang is best known for:

Gene
DNA
Amino acid

In most of his Programming language studies, his work intersects topics such as Template and Set (abstract data type). His research combines Programming language and Set (abstract data type). Yuedong Yang performs integrative Protein structure and Protein design research in his work. In his study, Yuedong Yang carries out multidisciplinary Protein design and Protein structure research. His Sequence (biology) research extends to Biochemistry, which is thematically connected. Yuedong Yang performs integrative study on Artificial intelligence and Data mining. Yuedong Yang merges Data mining with Artificial intelligence in his study. His study deals with a combination of Protein structure prediction and Protein secondary structure. His work often combines Protein secondary structure and Protein structure prediction studies.

His most cited work include:

Deep Learning Enables Accurate Diagnosis of Novel Coronavirus (COVID-19) With CT Images (429 citations)
Improving prediction of secondary structure, local backbone angles and solvent accessible surface area of proteins by iterative deep learning (282 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 (278 citations)

What are the main themes of his work throughout his whole career to date

His study on Artificial intelligence is interrelated to topics such as Artificial neural network and Pattern recognition (psychology). Borrowing concepts from Protein secondary structure, Yuedong Yang weaves in ideas under Biochemistry. In his research, he performs multidisciplinary study on Protein secondary structure and Biochemistry. He applies his multidisciplinary studies on Gene and RNA in his research. While working in this field, Yuedong Yang studies both RNA and Gene. In his papers, Yuedong Yang integrates diverse fields, such as Computational biology and Genetics. In his study, Yuedong Yang carries out multidisciplinary Genetics and Computational biology research. In his works, Yuedong Yang conducts interdisciplinary research on Machine learning and Data mining. He merges Data mining with Machine learning in his study.

Yuedong Yang most often published in these fields:

Biochemistry (52.03%)
Artificial intelligence (44.72%)
Gene (43.90%)

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

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

Ying Song;Shuangjia Zheng;Liang Li;Xiang Zhang.
IEEE/ACM Transactions on Computational Biology and Bioinformatics (2021)

544 Citations

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

Song Ying;Shuangjia Zheng;Liang Li;Xiang Zhang.
medRxiv (2020)

389 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.
Bioinformatics (2011)

387 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.
Bioinformatics (2017)

346 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.
Scientific Reports (2015)

340 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.
Journal of Computational Chemistry (2012)

264 Citations

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

Yuedong Yang;Yaoqi Zhou.
Proteins (2008)

261 Citations

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

Jack Hanson;Yuedong Yang;Kuldip K. Paliwal;Yaoqi Zhou.
Bioinformatics (2016)

224 Citations

Structural insights into the histone H1-nucleosome complex

Bing-Rui Zhou;Hanqiao Feng;Hidenori Kato;Liang Dai.
Proceedings of the National Academy of Sciences of the United States of America (2013)

212 Citations

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

Yuedong Yang;Jianzhao Gao;Jihua Wang;Rhys Heffernan.
Briefings in Bioinformatics (2016)

196 Citations

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

Yuedong Yang

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Overview

What is he best known for?

The fields of study Yuedong Yang is best known for:

His most cited work include:

What are the main themes of his work throughout his whole career to date

Yuedong Yang most often published in these fields:

Best Publications

Report an issue

Frequent Co-Authors

Best Scientists Citing Yuedong Yang

Trending Scientists