.Shenghan Zhou ,Tianhua iWang,Linchao Yang ,Zhao He and Siting Cao. A Self-Supervised Fault Detection for UAV Based on Unbalanced Flight Data Representation Learning and Wavelet Analysis. Aerospace 2023, 10(3), 250

.Zhou, Shenghan; Wei, Chaofan; Song, Chaofei; Pan, Xing; Chang, Wenbing; Yang, Linchao, Short-Term Traffic Flow Prediction of the Smart City Using 5G Internet of Vehicles Based on Edge Computing, IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS,2023.02, 24(2): 2229- 2238

.Zhou, Shenghan; Song, Chaofei; Zhang, Zhang, Jingjing; Chang, Wenbing; Hou, Wenkui; Yang, Linchao, A Hybrid Prediction Framework for Water Quality with Integrated W-ARIMA-GRU and LightGBM Methods, WATER,2022,14(9),1322

.Zhou, Shenghan; Song, Chaofei; Wang, Tianhuai; Pan, Xing; Chang, Wenbing; Yang, Linchao，A Short-Term Hybrid TCN-GRU Prediction Model of Bike-Sharing Demand Based on Travel Characteristics Mining，ENTROPY ，2022，24（9），1193

.Chang, Wenbing; Li, Ruowen; Fu, Yu; Xiao, Yiyong; Zhou, Shenghan*，A multistep forecasting method for online car-hailing demand based on wavelet decomposition and deep Gaussian process regression，JOURNAL OF SUPERCOMPUTING，2022，9

.Yang, Linchao; Zhang, Fan; Liu, Anying; Zhou, Shenghan*; Wu, Xiangwei; Wei, Fajie，A Study on the Identification of Delayed Delivery Risk Transmission Paths in Multi-Variety and Low-Volume Enterprises Based on Bayesian Network，APPLIED SCIENCES-BASEL，2022，12（23），12024

.Wenbing Chang, Xinpeng Ji, Yinglai Liu, Yiyong Xiao, Bang Chen, Houxiang Liu and Shenghan Zhou*. Analysis of University Students’ Behavior Based on a Fusion K-Means Clustering Algorithm. Applied Sciences 2020, 10(18), 6566

.Yiyong Xiao, Yue Zhang, Sadan Kulturel-Konak, Abdullah Konak, Yuchun Xu and Shenghan Zhou. The influence of additive manufacturing on the configuration of make-to-order spare parts supply chain under heterogeneous demand. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 2020.

.Yang Pei, Xiao Yiyong, Zhang Yue, Zhou Shenghan*, Yang Jun, Xu Yuchun. The continuous maximal covering location problem in large-scale natural disaster rescue scenes. COMPUTERS & INDUSTRIAL ENGINEERING. 2020, 146.

.Wu Xueyi#, Yuan Xinglong#, Wang Wei, Liu Kai, Qin Ying, Sun Xiaolu, Ma Wenjun, Zou Yubao, Zhang Huimin, Zhou Xianliang, Wu Haiying, Jiang Xiongjing, Cai Jun Chang Wenbing, Zhou Shenghan*, Song, Lei*. Value of a Machine Learning Approach for Predicting Clinical Outcomes in Young Patients With Hypertension. HYPERTENSION, 2020, 75(5): 1271-1278.