| Social learning evolution (SLE): Computational experiment-based modeling framework of social manufacturing X Xue, S Wang, L Zhang, Z Feng, Y Guo IEEE Transactions on Industrial Informatics 15 (6), 3343-3355, 2019 | 141 | 2019 |
| Social learning optimization (SLO) algorithm paradigm and its application in QoS-aware cloud service composition ZZ Liu, DH Chu, C Song, X Xue, BY Lu Information Sciences 326, 315-333, 2016 | 114 | 2016 |
| Value entropy: A systematic evaluation model of service ecosystem evolution X Xue, Z Chen, S Wang, Z Feng, Y Duan, Z Zhou IEEE Transactions on Services Computing 15 (4), 1760-1773, 2022 | 74 | 2022 |
| Popularity-aware and diverse web APIs recommendation based on correlation graph S Wu, S Shen, X Xu, Y Chen, X Zhou, D Liu, X Xue, L Qi IEEE Transactions on Computational Social Systems 10 (2), 771-782, 2022 | 66 | 2022 |
| Boosting quantum rotation gate embedded slime mould algorithm C Yu, AA Heidari, X Xue, L Zhang, H Chen, W Chen Expert Systems with Applications 181, 115082, 2021 | 60 | 2021 |
| Reliable Web service composition based on QoS dynamic prediction ZZ Liu, ZP Jia, X Xue, JY An Soft Computing 19, 1409-1425, 2015 | 52 | 2015 |
| An application analysis of cluster supply chain: a case study of JCH B Huang, X Xue Kybernetes 41 (1/2), 254-280, 2012 | 45 | 2012 |
| Manufacturing service composition method based on networked collaboration mode X Xue, S Wang, B Lu Journal of Network and Computer Applications 59, 28-38, 2016 | 44 | 2016 |
| Evaluating of dynamic service matching strategy for social manufacturing in cloud environment X Xue, S Wang, L Zhang, Z Feng Future Generation Computer Systems 91, 311-326, 2019 | 43 | 2019 |
| Web service dynamic composition based on decomposition of global QoS constraints ZZ Liu, X Xue, J Shen, WR Li The International Journal of Advanced Manufacturing Technology 69, 2247-2260, 2013 | 43 | 2013 |
| SLE2: The improved social learning evolution model of cloud manufacturing service ecosystem D Zhou, X Xue, Z Zhou IEEE Transactions on Industrial Informatics 18 (12), 9017-9026, 2022 | 42 | 2022 |
| Chaotic diffusion‐limited aggregation enhanced grey wolf optimizer: insights, analysis, binarization, and feature selection J Hu, AA Heidari, L Zhang, X Xue, W Gui, H Chen, Z Pan International Journal of Intelligent Systems 37 (8), 4864-4927, 2022 | 40 | 2022 |
| An Android application risk evaluation framework based on minimum permission set identification J Xiao, S Chen, Q He, Z Feng, X Xue Journal of Systems and Software 163, 110533, 2020 | 40 | 2020 |
| Research roadmap of service ecosystems: A crowd intelligence perspective X Xue, G Li, D Zhou, Y Zhang, L Zhang, Y Zhao, Z Feng, L Cui, Z Zhou, ... International Journal of Crowd Science 6 (4), 195-222, 2022 | 39 | 2022 |
| Computational Experiment Research on Equalization Oriented Service Strategy in Collaborative Manufacturing WS Xue Xiao, Kou Yanmin IEEE Transactions on Services Computing, 2016 | 34 | 2016 |
| Computational experiment-based evaluation on context-aware O2O service recommendation X Xue, H Han, S Wang, C Qin IEEE Transactions on Services Computing 12 (6), 910-924, 2019 | 32 | 2019 |
| Block chain-based data audit and access control mechanism in service collaboration C Wang, S Chen, Z Feng, Y Jiang, X Xue 2019 IEEE International Conference on Web Services (ICWS), 214-218, 2019 | 30 | 2019 |
| Service-selecting approach based on domain-specified'Quality of Service'model and its application in logistics B Huang, T Wang, X Xue The Service Industries Journal 32 (9), 1571-1588, 2012 | 26 | 2012 |
| Service bridge: Transboundary impact evaluation method of internet X Xue, G Gao, S Wang, Z Feng IEEE Transactions on Computational Social Systems 5 (3), 758-772, 2018 | 24 | 2018 |
| A Computational Experiment-based Evaluation Method for Context-aware Services in Complicated Environment ZH Xiao Xue, Shufang Wang, Bin Gui Information Sciences 373, 2016 | 23 | 2016 |
