Yuedong Yang - Google Scholar Citations

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	All	Since 2014
Citations	2433	1976
h-index	26	25
i10-index	40	37

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Yaoqi ZhouProfessor, Institute for Glycomics and School of Information and Communication Technology, GriffithVerified email at griffith.edu.au
Kuldip PaliwalProfessor (Chair, Communication and Information Engineering), Griffith University, BrisbaneVerified email at griffith.edu.au
Abdul SattarProfessor of Computer Science, Griffith UniversityVerified email at griffith.edu.au
David N. CooperProfessor of Human Molecular Genetics, Cardiff University, UKVerified email at cardiff.ac.uk
Ghazaleh TaherzadehGriffith UniversityVerified email at griffithuni.edu.au
Liang DaiCity University of Hong Kong; National University of Singapore ; Indiana University; MIT;Verified email at cityu.edu.hk
Alan Wee-Chung LiewAssociate Professor, School of ICT, Griffith UniversityVerified email at griffith.edu.au
Jianzhao GaoSchool of Mathematical Sciences , Nankai UniversityVerified email at nankai.edu.cn
Lukasz KurganComputer Science, Virginia Commonwealth UniversityVerified email at vcu.edu
Tuo ZhangSenior Research Associate, Weill Cornell Medical CollegeVerified email at med.cornell.edu
Thomas LitfinPhD Candidate, Griffith UniversityVerified email at griffithuni.edu.au
Yong DuanUniversity of CaliforniaVerified email at ucdavis.edu
Sarath Chandra JangaAssociate Professor of Informatics and Computing, Indiana University (IUPUI)Verified email at iupui.edu
Md Tamjidul HoqueAssociate Professor of Computer Science, University of New OrleansVerified email at uno.edu
Ying XuProfessor of Biochemistry and Molecular Biology, University of GeorgiaVerified email at uga.edu
Chi ZhangSchool of Biological Sciences, University of Nebraska, Lincoln, NEVerified email at unl.edu
Song LiuProfessor, Director of Bioinformatics, Roswell Park Comprehensive Cancer CenterVerified email at roswellpark.org
Huiying ZhaoSun Yat-sen Memorial Hospital, Sun Yat-sen University
Chao XuSchool of Life Sciences, University of Science and Technology of ChinaVerified email at ustc.edu.cn
Vladimir UverskyAssociate Professor, USF; Professor, KAU; Leading Scientist, Institute for BiologicalVerified email at health.usf.edu

Yuedong Yang

School of Data and Computer Sciene, Sun Yat-sen University

Verified email at mail.sysu.edu.cn - Homepage

Protein Structure prediction Structural Bioinformatics Bioinformatics computational biology


Title	Cited by	Year
Improving protein fold recognition and template-based modeling by employing probabilistic-based matching between predicted one-dimensional structural properties of query and … Y Yang, E Faraggi, H Zhao, Y Zhou Bioinformatics 27 (15), 2076-2082, 2011	212	2011
SPINE X: Improving protein secondary structure prediction by multistep learning coupled with prediction of solvent accessible surface area and backbone torsion angles E Faraggi, T Zhang, Y Yang, L Kurgan, Y Zhou Journal of computational chemistry 33 (3), 259-267, 2012	180	2012
Specific interactions for ab initio folding of protein terminal regions with secondary structures Y Yang, Y Zhou Proteins: Structure, Function, and Bioinformatics 72 (2), 793-803, 2008	180	2008
Improving prediction of secondary structure, local backbone angles, and solvent accessible surface area of proteins by iterative deep learning R Heffernan, K Paliwal, J Lyons, A Dehzangi, A Sharma, J Wang, A Sattar, ... Scientific reports 5, 11476, 2015	172	2015
Community-wide assessment of protein-interface modeling suggests improvements to design methodology SJ Fleishman, TA Whitehead, EM Strauch, JE Corn, S Qin, HX Zhou, ... Journal of Molecular Biology, 2011	123	2011
Structural insights into the histone H1-nucleosome complex BR Zhou, H Feng, H Kato, L Dai, Y Yang, Y Zhou, Y Bai Proceedings of the National Academy of Sciences 110 (48), 19390-19395, 2013	114	2013
Predicting continuous local structure and the effect of its substitution for secondary structure in fragment-free protein structure prediction E Faraggi, Y Yang, S Zhang, Y Zhou Structure 17 (11), 1515-1527, 2009	110	2009
Ab initio folding of terminal segments with secondary structures reveals the fine difference between two closely related all‐atom statistical energy functions Y Yang, Y Zhou Protein science 17 (7), 1212-1219, 2008	109	2008
Structure-based prediction of RNA-binding domains and RNA-binding sites and application to structural genomics targets H Zhao, Y Yang, Y Zhou Nucleic acids research 39 (8), 3017-3025, 2011	85	2011
Predicting backbone Cα angles and dihedrals from protein sequences by stacked sparse auto‐encoder deep neural network J Lyons, A Dehzangi, R Heffernan, A Sharma, K Paliwal, A Sattar, Y Zhou, ... Journal of computational chemistry 35 (28), 2040-2046, 2014	77	2014
Structure-based prediction of DNA-binding proteins by structural alignment and a volume-fraction corrected DFIRE-based energy function H Zhao, Y Yang, Y Zhou Bioinformatics 26 (15), 1857-1863, 2010	70	2010
Energy Functions in De Novo Protein Design: Current Challenges and Future Prospects Z Li, Y Yang, J Zhan, L Dai, Y Zhou Annual Review of Biophysics 42 (1), 2013	60	2013
A new size‐independent score for pairwise protein structure alignment and its application to structure classification and nucleic‐acid binding prediction Y Yang, J Zhan, H Zhao, Y Zhou Proteins: Structure, Function, and Bioinformatics 80 (8), 2080-2088, 2012	56	2012
Capturing non-local interactions by long short-term memory bidirectional recurrent neural networks for improving prediction of protein secondary structure, backbone angles … R Heffernan, Y Yang, K Paliwal, Y Zhou Bioinformatics 33 (18), 2842-2849, 2017	51	2017
An all‐atom knowledge‐based energy function for protein‐DNA threading, docking decoy discrimination, and prediction of transcription‐factor binding profiles B Xu, Y Yang, H Liang, Y Zhou Proteins: Structure, Function, and Bioinformatics 76 (3), 718-730, 2009	49	2009
Improving protein disorder prediction by deep bidirectional long short-term memory recurrent neural networks J Hanson, Y Yang, K Paliwal, Y Zhou Bioinformatics 33 (5), 685-692, 2017	45	2017
SPIDER2: A Package to Predict Secondary Structure, Accessible Surface Area, and Main-Chain Torsional Angles by Deep Neural Networks Y Yang, R Heffernan, K Paliwal, J Lyons, A Dehzangi, A Sharma, J Wang, ... Prediction of Protein Secondary Structure, 55-63, 2017	45	2017
Highly accurate and high-resolution function prediction of RNA binding proteins by fold recognition and binding affinity prediction. H Zhao, Y Yang, Y Zhou RNA biology 8 (6), 2011	42	2011
Highly accurate sequence-based prediction of half-sphere exposures of amino acid residues in proteins R Heffernan, A Dehzangi, J Lyons, K Paliwal, A Sharma, J Wang, A Sattar, ... Bioinformatics 32 (6), 843-849, 2016	41	2016
Sixty-five years of the long march in protein secondary structure prediction: the final stretch? Y Yang, J Gao, J Wang, R Heffernan, J Hanson, K Paliwal, Y Zhou Briefings in bioinformatics 19 (3), 482-494, 2016	40	2016

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