[1] 张富国.基于社交网络的个性化推荐技术. 小型微型计算机系统, 2014,35(7):1470-1476.

[2] Fuguo Zhang,An Zeng.Improving information filtering via network manipulation. Europhysics Letters(EPL),100(5),pp.58005,2012.(SCI, 2011 IF=2.171)

[3] Fuguo zhang. Preventing Recommendation Attack in Trust-based Recommender Systems[J]. Journal of Computer Science and Technology. 2011,26(5): 823-828. (SCI)

[4] 张富国. 基于标签的个性化项目推荐系统研究综述. 情报学报. 31(9), 963-972, 2012.

[5] 张富国, 徐升华. 基于信任的电子商务推荐多样性研究[J]. 情报学报. 2010,29(2): 350-355

[6] 张富国. 用户多兴趣下基于信任的协同过滤算法研究[J]. 小型微型计算机系统. 2008, 29(8):1415-1419.

[7] 张富国, 徐升华. 推荐系统安全问题及技术研究综述[J]. 计算机应用研究. 2008, 25(3):656-659.

[8] 张富国. 基于信任的电子商务个性化推荐技术研究[M]. 经济科学出版社. 2009.

[9] Fuguo Zhang. Hybrid Attack model against Recommender Systems[J]. Journal of information & computational science. 2009, 6(3): 1121-1127. (EI)

[10] Fuguo Zhang. Average Shilling Attack against Trust-based Recommender Systems[C]. Proceedings of 2009 International Conference on Information Management, Innovation Management and Industrial Engineering. 2009, 588-591. (EI)

[11] Fuguo Zhang. Reverse Bandwagon Profile Inject Attack against Recommender Systems[C]. Proceedings of 2009 International symposium on Computational Intelligence and Design. 2009, 12-15. (EI)

[12] Fuguo Zhang. The Robustness of Trust-based Recommender Algorithm under Random Attack. Proceedings of the 2nd International Conference on Future Computer and Communication. 2010,585-588. (EI)

[13] Fuguo Zhang. Research on Recommendation List Diversity of Recommender systems[C]. Proceedings of 2008 International Conference on Management of e-Commerce and e-Government. 2008. (EI)

[14] Fuguo Zhang, Shenghua Xu. Topic-level Trust In Recommender Systems[C]. Proceedings of 2007 International Conference on Management Science & Engineering, 2007. (EI)

[15] Fuguo Zhang, Shenghua Xu. Analysis of Trust-based E-Commerce Recommender Systems Under Recommendation Attacks[C]. Proceedings of The first International Symposium on Data, Privacy, and E-Commerce. (EI)

[16] Fuguo Zhang. Research on Bandwagon Attack against Trust-based Collaborative Filtering Recommender Systems[C]. Proceedings of The seventh Wuhan International Conference on E-Business.2008. (ISTP)