Identifying influential nodes in complex networks D Chen, L Lü, MS Shang, YC Zhang, T Zhou Physica a: Statistical mechanics and its applications 391 (4), 1777-1787, 2012 | 960 | 2012 |
User-based collaborative-filtering recommendation algorithms on hadoop ZD Zhao, MS Shang 2010 third international conference on knowledge discovery and data mining …, 2010 | 498 | 2010 |
Detecting overlapping communities of weighted networks via a local algorithm D Chen, M Shang, Z Lv, Y Fu Physica A: Statistical Mechanics and its Applications 389 (19), 4177-4187, 2010 | 157 | 2010 |
An inherently nonnegative latent factor model for high-dimensional and sparse matrices from industrial applications X Luo, MC Zhou, S Li, M Shang IEEE Transactions on Industrial Informatics 14 (5), 2011-2022, 2017 | 153 | 2017 |
Empirical analysis of web-based user-object bipartite networks MS Shang, L Lü, YC Zhang, T Zhou EPL (Europhysics Letters) 90 (4), 48006, 2010 | 147 | 2010 |
Symmetric and nonnegative latent factor models for undirected, high-dimensional, and sparse networks in industrial applications X Luo, J Sun, Z Wang, S Li, M Shang IEEE Transactions on Industrial Informatics 13 (6), 3098-3107, 2017 | 112 | 2017 |
Collaborative filtering with diffusion-based similarity on tripartite graphs MS Shang, ZK Zhang, T Zhou, YC Zhang Physica A: Statistical Mechanics and its Applications 389 (6), 1259-1264, 2010 | 112 | 2010 |
Algorithms of unconstrained non-negative latent factor analysis for recommender systems X Luo, M Zhou, S Li, D Wu, Z Liu, M Shang IEEE Transactions on Big Data 7 (1), 227-240, 2019 | 100 | 2019 |
A deep latent factor model for high-dimensional and sparse matrices in recommender systems D Wu, X Luo, M Shang, Y He, G Wang, MC Zhou IEEE Transactions on Systems, Man, and Cybernetics: Systems 51 (7), 4285-4296, 2019 | 98 | 2019 |
A fast non-negative latent factor model based on generalized momentum method X Luo, Z Liu, S Li, M Shang, Z Wang IEEE Transactions on Systems, Man, and Cybernetics: Systems 51 (1), 610-620, 2018 | 95 | 2018 |
Randomized latent factor model for high-dimensional and sparse matrices from industrial applications M Shang, X Luo, Z Liu, J Chen, Y Yuan, MC Zhou IEEE/CAA Journal of Automatica Sinica 6 (1), 131-141, 2018 | 84 | 2018 |
A fast and efficient heuristic algorithm for detecting community structures in complex networks D Chen, Y Fu, M Shang Physica A: Statistical Mechanics and its Applications 388 (13), 2741-2749, 2009 | 83 | 2009 |
Non-negativity constrained missing data estimation for high-dimensional and sparse matrices from industrial applications X Luo, MC Zhou, S Li, L Hu, M Shang IEEE transactions on cybernetics 50 (5), 1844-1855, 2019 | 78 | 2019 |
Empirical Analysis on the Human Dynamics of a Large-Scale Short Message Communication System ZD Zhao, H Xia, MS Shang, T Zhou Chinese Physics Letters 28 (6), 068901, 2011 | 77 | 2011 |
A Novel Approach to Extracting Non-Negative Latent Factors From Non-Negative Big Sparse Matrices. X Luo, M Zhou, M Shang, S Li, Y Xia IEEE Access 4, 2649 - 2655, 2016 | 71 | 2016 |
Self-training semi-supervised classification based on density peaks of data D Wu, M Shang, X Luo, J Xu, H Yan, W Deng, G Wang Neurocomputing 275, 180-191, 2018 | 69 | 2018 |
Can dissimilar users contribute to accuracy and diversity of personalized recommendation? W Zeng, MS Shang, QM Zhang, L Lü, T Zhou International Journal of Modern Physics C 21 (10), 1217-1227, 2010 | 67 | 2010 |
Relevance is more significant than correlation: Information filtering on sparse data MS Shang, L Lü, W Zeng, YC Zhang, T Zhou EPL (Europhysics Letters) 88 (6), 68008, 2010 | 64 | 2010 |
A data-characteristic-aware latent factor model for web services QoS prediction D Wu, X Luo, M Shang, Y He, G Wang, X Wu IEEE Transactions on Knowledge and Data Engineering, 2020 | 63 | 2020 |
A highly accurate framework for self-labeled semisupervised classification in industrial applications D Wu, X Luo, G Wang, M Shang, Y Yuan, H Yan IEEE Transactions on Industrial Informatics 14 (3), 909-920, 2017 | 59 | 2017 |