| Improving compound–protein interaction prediction by building up highly credible negative samples H Liu, J Sun, J Guan, J Zheng, S Zhou Bioinformatics 31 (12), i221-i229, 2015 | 202 | 2015 |
| A new taxonomy-based protein fold recognition approach based on autocross-covariance transformation Q Dong, S Zhou, J Guan Bioinformatics 25 (20), 2655-2662, 2009 | 197 | 2009 |
| Boosting compound-protein interaction prediction by deep learning K Tian, M Shao, Y Wang, J Guan, S Zhou Methods 110, 64-72, 2016 | 179 | 2016 |
| Single-cell trajectories reconstruction, exploration and mapping of omics data with STREAM H Chen, L Albergante, JY Hsu, CA Lareau, G Lo Bosco, J Guan, S Zhou, ... Nature communications 10 (1), 1903, 2019 | 174 | 2019 |
| Exact solution for mean first-passage time on a pseudofractal scale-free web Z Zhang, Y Qi, S Zhou, W Xie, J Guan Physical Review E 79 (2), 021127, 2009 | 117 | 2009 |
| MiRenSVM: towards better prediction of microRNA precursors using an ensemble SVM classifier with multi-loop features J Ding, S Zhou, J Guan BMC bioinformatics 11 (11), 1-10, 2010 | 109 | 2010 |
| PredUs: a web server for predicting protein interfaces using structural neighbors QC Zhang, L Deng, M Fisher, J Guan, B Honig, D Petrey Nucleic acids research 39 (suppl_2), W283-W287, 2011 | 108 | 2011 |
| Maximal planar scale-free Sierpinski networks with small-world effect and power law strength-degree correlation Z Zhang, S Zhou, L Fang, J Guan, Y Zhang Europhysics Letters 79 (3), 38007, 2007 | 108 | 2007 |
| Standard random walks and trapping on the Koch network with scale-free behavior and small-world effect Z Zhang, S Zhou, W Xie, L Chen, Y Lin, J Guan Physical Review E 79 (6), 061113, 2009 | 107 | 2009 |
| Adapting skyline computation to the mapreduce framework: Algorithms and experiments B Zhang, S Zhou, J Guan Database Systems for Adanced Applications: 16th International Conference …, 2011 | 106 | 2011 |
| Epidemic spreading with nonlinear infectivity in weighted scale-free networks X Chu, Z Zhang, J Guan, S Zhou Physica A: Statistical Mechanics and its Applications 390 (3), 471-481, 2011 | 92 | 2011 |
| Deepcluster: A general clustering framework based on deep learning K Tian, S Zhou, J Guan Machine Learning and Knowledge Discovery in Databases: European Conference …, 2017 | 88 | 2017 |
| Prediction of protein-protein interaction sites using an ensemble method L Deng, J Guan, Q Dong, S Zhou BMC bioinformatics 10 (1), 1-15, 2009 | 81 | 2009 |
| A neighborhood-based clustering algorithm S Zhou, Y Zhao, J Guan, J Huang Advances in Knowledge Discovery and Data Mining: 9th Pacific-Asia Conference …, 2005 | 81 | 2005 |
| Determining global mean-first-passage time of random walks on Vicsek fractals using eigenvalues of Laplacian matrices Z Zhang, B Wu, H Zhang, S Zhou, J Guan, Z Wang Physical Review E 81 (3), 031118, 2010 | 77 | 2010 |
| A new hybrid method for learning bayesian networks: Separation and reunion H Liu, S Zhou, W Lam, J Guan Knowledge-Based Systems 121, 185-197, 2017 | 76 | 2017 |
| Epidemic spreading in weighted scale-free networks with community structure X Chu, J Guan, Z Zhang, S Zhou Journal of Statistical Mechanics: Theory and Experiment 2009 (07), P07043, 2009 | 75 | 2009 |
| CloudNMF: a MapReduce implementation of nonnegative matrix factorization for large-scale biological datasets R Liao, Y Zhang, J Guan, S Zhou Genomics, proteomics & bioinformatics 12 (1), 48-51, 2014 | 74 | 2014 |
| Towards effective document clustering: A constrained K-means based approach G Hu, S Zhou, J Guan, X Hu Information Processing & Management 44 (4), 1397-1409, 2008 | 74 | 2008 |
| A novel image registration algorithm for remote sensing under affine transformation Z Song, S Zhou, J Guan IEEE Transactions on Geoscience and Remote Sensing 52 (8), 4895-4912, 2013 | 69 | 2013 |
