[1] Yan Aijun, Hu Kaicheng. Data-driven multitarget online modeling of municipal solid waste incineration process.IEEE Transactions on Industrial Informatics, 2024,20(12): 14124-14133.(JCR Q1)

[2] Yan Aijun, Hu Kaicheng, Wang Dianhui, Tang Jian. Robust multi-target regression with improved stochastic configuration networks and its applications.Information Sciences, 2025, 689: 121480.(JCR Q1)

[3] Yan Aijun, Wang Ranran, Guo Jingcheng, Tang Jian. A knowledge transfer online stochastic configuration network-based prediction model for furnace temperature in a municipal solid waste incineration process.Expert Systemswith Applications, 2024, 243(6):122733.(JCR Q1)

[4] Yan Aijun, Guo Jingcheng, Wang Dianhui. Heterogeneous feature ensemble modeling with stochastic configuration networks for predicting furnace temperature of a municipal solid waste incineration process.Neural Computing & Applications, 2022, 34(18): 15807-15819.(JCR Q2)

[5] Yan Aijun, Guo Jingcheng, Wang Dianhui. Robust stochastic configuration networks for industrial data modelling with Student’s-t mixture distribution.Information Sciences, 2022, 607(8): 493-505.(JCR Q1)