Train Timetable Forming Quality Evaluation: An Approach Based on DEA Method. - Feng Jiang 004; Shaoquan Ni; Daben Yu (MCO (2), 2015)

Multi-objective models and real case study for dual-channel FAP supply chain network design with fuzzy information. - Juan Yu; Mi Gan; Shaoquan Ni; Dingjun Chen (J. Intell. Manuf., 2018)

A novel Differential Evolution approach to scheduling the freight trains in intervals of passenger trains. - Jeng-Shyang Pan 001; Zhenyu Meng; Shaoquan Ni; Shu-Chuan Chu (SMC, 2019)

Exploring passenger train occupation rate influencing factors using association rules: A case study in China. - Changan Xu; Sihan Li; Heying Xu; Shaoquan Ni (J. Intell. Fuzzy Syst., 2020)

Three-level multimodal transportation network for cross-regional emergency resources dispatch under demand and route reliability. - Dingjun Chen; Xufeng Fang; Yao Li; Shaoquan Ni; Qingpeng Zhang; Chin Kwai Sang (Reliab. Eng. Syst. Saf., 2022)

TransGAT: A dynamic graph attention residual networks for traffic flow forecasting. - Tianxiao Wang; Shaoquan Ni; Tinghui Qin; Di Cao (Sustain. Comput. Informatics Syst., 2022)

Train timetabling with passenger data and heterogeneous rolling stocks circulation on urban rail transit line. - Yuhua Yang; Marcella Samà; Dario Pacciarelli; Shaoquan Ni (Soft Comput., 2023)

Demand-adapted train timetabling with coupling-decoupling operations on a bidirectional intercity railway line. - Jie Liu; David Canca; Hongxia Lv; Shaoquan Ni (Comput. Ind. Eng., 2024)

Variable Neighborhood Search and Alternating Direction Method of Multipliers for Integrated Optimization of Maintenance Windows and Train Timetables. - Haonan Yang; Shaoquan Ni; Haoyang Huo; Yuhua Yang; Su Liu; Qingpeng Zhang; Dingjun Chen (IEEE Trans. Intell. Transp. Syst., 2024)

RTFnet: A multi-modal physiological data fusion approach for fatigue detection in remote tower controllers. - Zirui Yin; Weijun Pan; Shaoquan Ni; Yuanjing Huang; Xin Wang; Xia Zhao; Kun Liu (Adv. Eng. Informatics, 2025)

Short-term origin-destination passenger flow forecasting in urban rail transit systems: An ensemble deep learning approach based on data augmentation. - Xin Wang; Dingjun Chen; Xuze Ye; Xia Zhao; Shaoquan Ni (Comput. Ind. Eng., 2025)