| 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 | 71 | 2020 |
| 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 | 56 | 2012 |
| 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 | 43 | 2018 |
| 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 | 31 | 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 | 22 | 2020 |
| 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 | 21 | 2021 |
| 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 |
| 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 | 16 | 2019 |
| 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 | 14 | 2019 |
| 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 | 12 | 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 | 12 | 2016 |
| 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 | 11 | 2022 |
| 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 | 10 | 2018 |
| Extending BPEL2. 0 for grid-based scientific workflow systems H Zhang, X Fan, R Zhang, J Lin, Z Zhao, L Li 2008 IEEE Asia-Pacific Services Computing Conference, 757-762, 2008 | 10 | 2008 |
| 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 | 9 | 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 | 9 | 2020 |
| Event-driven scientific workflow execution Z Zhao, A Paschke Business Process Management Workshops: BPM 2012 International Workshops …, 2013 | 9 | 2013 |
| Link prediction based on local weighted paths for complex networks Y Yao, R Zhang, F Yang, Y Yuan, R Hu, Z Zhao International Journal of Modern Physics C 28 (04), 1750053, 2017 | 7 | 2017 |
| A qos-based scheduling approach for complex workflow applications F Ding, R Zhang, K Ruan, J Lin, Z Zhao 2010 Fifth Annual ChinaGrid Conference, 67-73, 2010 | 6 | 2010 |
| A survey on semantic scientific workflow Z Zhao, A Paschke Semantic Web J. IOS Press, 1-5, 2012 | 5 | 2012 |
