| 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 | 310 | 2015 |
| 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 | 260 | 2019 |
| Boosting compound-protein interaction prediction by deep learning K Tian, M Shao, Y Wang, J Guan, S Zhou Methods 110, 64-72, 2016 | 219 | 2016 |
| 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 | 215 | 2009 |
| All in one: Multi-task prompting for graph neural networks X Sun, H Cheng, J Li, B Liu, J Guan Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 166 | 2023 |
| 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—Statistical, Nonlinear, and Soft Matter Physics 79 (2 …, 2009 | 128 | 2009 |
| 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 | 125 | 2017 |
| 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 | 122 | 2011 |
| 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, 1-10, 2010 | 115 | 2010 |
| 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—Statistical, Nonlinear, and Soft Matter Physics 79 (6 …, 2009 | 113 | 2009 |
| Adapting skyline computation to the mapreduce framework: Algorithms and experiments B Zhang, S Zhou, J Guan International Conference on Database Systems for Advanced Applications, 403-414, 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 | 107 | 2007 |
| 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 | 97 | 2017 |
| 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 | 96 | 2011 |
| Inferring new indications for approved drugs via random walk on drug-disease heterogenous networks H Liu, Y Song, J Guan, L Luo, Z Zhuang BMC bioinformatics 17, 269-277, 2016 | 91 | 2016 |
| 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—Statistical, Nonlinear, and Soft Matter Physics 81 (3 …, 2010 | 90 | 2010 |
| A neighborhood-based clustering algorithm S Zhou, Y Zhao, J Guan, J Huang Pacific-Asia Conference on Knowledge Discovery and Data Mining, 361-371, 2005 | 86 | 2005 |
| Prediction of protein-protein interaction sites using an ensemble method L Deng, J Guan, Q Dong, S Zhou BMC bioinformatics 10, 1-15, 2009 | 85 | 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 | 77 | 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 | 77 | 2008 |