A discrete shuffled frog-leaping algorithm to identify influential nodes for influence maximization in social networks J Tang, R Zhang, P Wang, Z Zhao, L Fan, X Liu Knowledge-Based Systems 187, 104833, 2020 | 120 | 2020 |
Maximizing the spread of influence via the collective intelligence of discrete bat algorithm J Tang, R Zhang, Y Yao, Z Zhao, P Wang, H Li, J Yuan Knowledge-Based Systems 160, 88-103, 2018 | 66 | 2018 |
Reaction ruleml 1.0: Standardized semantic reaction rules A Paschke, H Boley, Z Zhao, K Teymourian, T Athan Rules on the Web: Research and Applications: 6th International Symposium …, 2012 | 58 | 2012 |
Identification of top-k influential nodes based on enhanced discrete particle swarm optimization for influence maximization J Tang, R Zhang, Y Yao, F Yang, Z Zhao, R Hu, Y Yuan Physica A: Statistical Mechanics and its Applications 513, 477-496, 2019 | 49 | 2019 |
Combining forward with recurrent neural networks for hourly air quality prediction in Northwest of China Z Zhao, J Qin, Z He, H Li, Y Yang, R Zhang Environmental Science and Pollution Research 27, 28931-28948, 2020 | 41 | 2020 |
Ranking influential spreaders based on both node k-shell and structural hole Z Zhao, D Li, Y Sun, R Zhang, J Liu Knowledge-Based Systems 260, 110163, 2023 | 37 | 2023 |
LPA-MNI: an improved label propagation algorithm based on modularity and node importance for community detection H Li, R Zhang, Z Zhao, X Liu Entropy 23 (5), 497, 2021 | 37 | 2021 |
A novel link prediction algorithm based on inductive matrix completion Z Zhao, Z Gou, Y Du, J Ma, T Li, R Zhang Expert Systems with Applications 188, 116033, 2022 | 32 | 2022 |
Identification of top-k influential nodes based on discrete crow search algorithm optimization for influence maximization H Li, R Zhang, Z Zhao, X Liu, Y Yuan Applied Intelligence, 1-17, 2021 | 28 | 2021 |
Multi-task learning models for predicting active compounds Z Zhao, J Qin, Z Gou, Y Zhang, Y Yang Journal of Biomedical Informatics 108, 103484, 2020 | 27 | 2020 |
MultiGran-SMILES: multi-granularity SMILES learning for molecular property prediction J Jiang, R Zhang, Z Zhao, J Ma, Y Liu, Y Yuan, B Niu Bioinformatics 38 (19), 4573-4580, 2022 | 21 | 2022 |
An improved path-based clustering algorithm Q Liu, R Zhang, R Hu, G Wang, Z Wang, Z Zhao Knowledge-Based Systems 163, 69-81, 2019 | 20 | 2019 |
An adaptive discrete particle swarm optimization for influence maximization based on network community structure J Tang, R Zhang, Y Yao, Z Zhao, B Chai, H Li International Journal of Modern Physics C 30 (06), 1950050, 2019 | 19 | 2019 |
Hadoop mapreduce framework to implement molecular docking of large-scale virtual screening J Zhao, R Zhang, Z Zhao, D Chen, L Hou 2012 IEEE Asia-Pacific Services Computing Conference, 350-353, 2012 | 19 | 2012 |
TranGRU: focusing on both the local and global information of molecules for molecular property prediction J Jiang, R Zhang, J Ma, Y Liu, E Yang, S Du, Z Zhao, Y Yuan Applied Intelligence 53 (12), 15246-15260, 2023 | 17 | 2023 |
Network representation learning via improved random walk with restart Y Zhang, J Shen, R Zhang, Z Zhao Knowledge-Based Systems 263, 110255, 2023 | 15 | 2023 |
LPA-CBD an improved label propagation algorithm based on community belonging degree for community detection C Gui, R Zhang, Z Zhao, J Wei, R Hu International Journal of Modern Physics C 29 (02), 1850011, 2018 | 15 | 2018 |
An efficient influence maximization algorithm based on clique in social networks H Li, R Zhang, Z Zhao, Y Yuan IEEE Access 7, 141083-141093, 2019 | 14 | 2019 |
Using deep learning for compound selectivity prediction R Zhang, J Li, J Lu, R Hu, Y Yuan, Z Zhao Current Computer-Aided Drug Design 12 (1), 5-14, 2016 | 14 | 2016 |
The trade-off between topology and content in community detection: An adaptive encoder–decoder-based NMF approach Z Zhao, Z Ke, Z Gou, H Guo, K Jiang, R Zhang Expert Systems with Applications 209, 118230, 2022 | 13 | 2022 |