A New Journal Ranking Method: The Reputation Analysis of Citation Behavior Model. - Leibao Zhang; Qi Qian; Shuai Zhang 002; Wenyu Zhang 001; Kun Zhu 008 (IEEE Access, 2019)

A novel trilinear deep residual network with self-adaptive Dropout method for short-term load forecasting. - Qian Chen 034; Wenyu Zhang 001; Kun Zhu 008; Di Zhou; Hua Dai; Quanquan Wu (Expert Syst. Appl., 2021)

A novel hybrid deep learning model for taxi demand forecasting based on decomposition of time series and fusion of text data. - Kun Zhu 008; Shuai Zhang 002; Wenyu Zhang 001; Zhiqiang Zhang (J. Intell. Fuzzy Syst., 2021)

Spatiotemporal multi-graph convolutional networks with synthetic data for traffic volume forecasting. - Kun Zhu 008; Shuai Zhang 002; Jiusheng Li; Di Zhou; Hua Dai; Zeqian Hu (Expert Syst. Appl., 2022)

Dynamic graph convolutional networks based on spatiotemporal data embedding for traffic flow forecasting. - Wenyu Zhang 001; Kun Zhu 008; Shuai Zhang 002; Qian Chen 034; Jiyuan Xu (Knowl. Based Syst., 2022)

Multivariate Correlation Matrix-Based Deep Learning Model With Enhanced Heuristic Optimization for Short-Term Traffic Forecasting. - Shuai Zhang 002; Kun Zhu 008; Wenyu Zhang 001 (IEEE Trans. Knowl. Data Eng., 2023)

Dynamic Graph-Based Adaptive Learning for Online Industrial Soft Sensor With Mutable Spatial Coupling Relations. - Kun Zhu 008; Chunhui Zhao 001 (IEEE Trans. Ind. Electron., 2023)

Towards the Disappearing Truth: Fine-Grained Joint Causal Influences Learning with Hidden Variable-Driven Causal Hypergraphs in Time Series. - Kun Zhu 008; Chunhui Zhao 001 (AAAI, 2024)

When causality meets missing data: Fusing key information to bridge causal discovery and imputation in time series via bidirectional meta-learning. - Kun Zhu 008; Chunhui Zhao (Inf. Fusion, 2025)

Fuzzy State-Driven Cross-Time Spatial Dependence Learning for Multivariate Time-Series Anomaly Detection. - Kun Zhu 008; Pengyu Song; Chunhui Zhao 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)