A Simple and Generic Paradigm for Creating Complex Networks Using the Strategy of Vertex Selecting-and-Pairing. - Shuangyan Wang; Gang Mei (CoRR, 2018)

Efficient Method for Improving the Spreading Efficiency in Small-World Networks and Assortative Scale-Free Networks. - Shuangyan Wang; Wuyi Cheng; Gang Mei (IEEE Access, 2019)

An Efficient Spreading Strategy Considering Information Decays and Partial Interactions Between People in Scale-Free Networks. - Shuangyan Wang; Gang Mei (IEEE Access, 2019)

Efficient method for identifying influential vertices in dynamic networks using the strategy of local detection and updating. - Shuangyan Wang; Salvatore Cuomo; Gang Mei; Wuyi Cheng; Nengxiong Xu (Future Gener. Comput. Syst., 2019)

A simple and generic paradigm for creating complex networks using the strategy of vertex selecting-and-pairing. - Shuangyan Wang; Gang Mei; Salvatore Cuomo (Future Gener. Comput. Syst., 2019)

Efficient parallel algorithm for detecting influential nodes in large biological networks on the Graphics Processing Unit. - Lei Xiao; Shuangyan Wang; Gang Mei (Future Gener. Comput. Syst., 2020)

Data analysis and mining of traffic features based on taxi GPS trajectories: A case study in Beijing. - Chun Liu 004; Shuangyan Wang; Salvatore Cuomo; Gang Mei (Concurr. Comput. Pract. Exp., 2021)

A generic paradigm for mining human mobility patterns based on the GPS trajectory data using complex network analysis. - Shuangyan Wang; Gang Mei; Salvatore Cuomo (Concurr. Comput. Pract. Exp., 2021)

Discovery of Shared Latent Nonlinear Effective Connectivity for EEG-Based Depression Detection. - Wenjie Yuan; Xiaowei Zhang 001; Xuejuan Zhang; Shuangyan Wang; Tianzhi Wang; Tong Zhang 015; Qinglin Zhao; Bin Hu 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)