The Kernelized Geometrical Bisection Methods. - Xiaomao Liu; Shujuan Cao; Junbin Gao; Jun Zhang 062 (ISNN (2), 2007)

Extremality of degree-based graph entropies. - Shujuan Cao; Matthias Dehmer; Yongtang Shi (Inf. Sci., 2014)

Degree-based entropies of networks revisited. - Shujuan Cao; Matthias Dehmer (Appl. Math. Comput., 2015)

On a problem analogues to Lehmer's and Hurwitz zeta-function. - Qing Tian; Shujuan Cao; Chunxiao Yang (Appl. Math. Comput., 2015)

Network Entropies Based on Independent Sets and Matchings. - Shujuan Cao; Matthias Dehmer; Zhe Kang (Appl. Math. Comput., 2017)

Graphs without five-vertex path and four-vertex cycle. - Shujuan Cao; Shenwei Huang (Appl. Math. Comput., 2019)

Nordhaus-Gaddum type results for graph irregularities. - Yuede Ma; Shujuan Cao; Yongtang Shi; Matthias Dehmer; Chengyi Xia (Appl. Math. Comput., 2019)

A note on rainbow saturation number of paths. - Shujuan Cao; Yuede Ma; Zhenyu Taoqiu (Appl. Math. Comput., 2020)

On the zeros of the partial Hosoya polynomial of graphs. - Modjtaba Ghorbani; Matthias Dehmer; Shujuan Cao; Lihua Feng; Jin Tao; Frank Emmert-Streib (Inf. Sci., 2020)

Gene Network Analysis of Alzheimer's Disease Based on Network and Statistical Methods. - Chen Zhou; Haiyan Guo; Shujuan Cao (Entropy, 2021)

Multi-scale Heterogeneous Graph Contrastive Learning*. - Mingyuan Li 002; Lei Meng 004; Zhonglin Ye; Haixing Zhao; Yuzhi Xiao; Shujuan Cao (IEEE Big Data, 2023)

BLR: A Multi-modal Sentiment Analysis Model. - Yanglin Yang; Zhonglin Ye; Haixing Zhao; Gege Li; Shujuan Cao (ICANN (10), 2023)

Saturation numbers for tPk with k less than 6. - Shujuan Cao; Hui Lei 002; Xiaopan Lian; Shunyu Yao 005; Junxue Zhang 002 (Discret. Appl. Math., 2023)

LGNN: a novel linear graph neural network algorithm. - Shujuan Cao; Xiaoming Wang; Zhonglin Ye; Mingyuan Li 002; Haixing Zhao (Frontiers Comput. Neurosci., 2023)

TP-GCL: graph contrastive learning from the tensor perspective. - Mingyuan Li 002; Lei Meng 004; Zhonglin Ye; Yanglin Yang; Shujuan Cao; Yuzhi Xiao; Haixing Zhao (Frontiers Neurorobotics, 2024)

GSGSL: Gravity-driven self-supervised graph structure learning. - Mingyuan Li 002; Lei Meng 004; Zhonglin Ye; Yanlin Yang; Shujuan Cao; Yuzhi Xiao; Haixing Zhao (Inf. Process. Manag., 2024)

Line graph contrastive learning for node classification. - Mingyuan Li 002; Lei Meng 004; Zhonglin Ye; Yuzhi Xiao; Shujuan Cao; Haixing Zhao (J. King Saud Univ. Comput. Inf. Sci., 2024)

Traditional Chinese medicine studies for AD based on Logistic Matrix Factorization and Similarity Network Fusion. - Rui Ding; Shujuan Cao; Binying Cai; Yongming Zou; Fang-Xiang Wu (Appl. Math. Comput., 2025)