近年来主要研究领域包括：人工智能、机器学习、数据挖掘、数据可视分析以及多媒体信息分析与检索等，共发表学术论文20余篇。部分论文列表如下：

1.周志光，石晨，史林松，刘亚楠*.地理空间数据可视分析综述[J].计算机辅助设计与图形学学报，2018，30 ( 5 ): 747-763.（EI）

2.周志光，汤成，刘玉华，刘亚楠，许建龙*.基于降维空间视觉认知的多维时变数据可视分析方法[J].计算机辅助设计与图形学学报(CAD&CG2017)，2018，30(7): 1194-1204.（EI）

3. Zhiguang Zhou, Huihui Li, Fang Liu, Yanan Liu, Chaogeng Huang, Yubo Tao, Hai Lin, Weihua Su*. Visual Analytics of Economic Features for Multivariate Spatio-temporal GDP Data[J]. Journal of Visualization, 2018, 21(2):337-350. (SCI)

4. Zhiguang Zhou, Zhifei Ye, Yanan Liu, Fang Liu, Yubo Tao, Weihua Su*. Visual Analytics for Spatial Clusters of Air-Quality Data. IEEE Computer Graphics and Applications, 2017, 37(5): 98-105. (SCI)

5.周志光，胡迪欣，刘亚楠，陈伟锋，陶煜波，林海，苏为华*.面向空气质量监测数据时空多维属性的可视分析方法[J].计算机辅助设计与图形学学报，2017，29(8):1477-1487.（EI）

6.Yanan Liu, Xiaoqing Feng, Zhiguang Zhou. Multimodal video classification with stacked contractive autoencoders. Signal Processing, 2016, 120:761-766. (SCI)

7．周志光，刘芳，陈伟锋，刘亚楠，林海*.一种快速的体数据特征增强可视化算法[J].计算机辅助设计与图形学学报，2014，26(10): 1663-1672.（EI）

8.Xiaoqing Feng, Wenyu Zhang, Yanan Liu. Double watermarks of 3D mesh model based on feature segmentation and redundancy information. Multimedia Tools and Applications, 2014.68(3),497-515 (SCI)

9. Yanan Liu. Image Classification with Group Fusion Sparse Representation. International Conference on Multimedia & Expo (ICME2012).

10. Xiaoqing Feng, Yanan Liu. A robust, Blind and imperceptible watermarking of 3D mesh models base on Redundancy information. International Journal of Digital Content Technology and its Applications, 2012, 6(2): 172-179

11. Yanan Liu, Fei Wu, Yueting Zhuang.Group Sparse Representation for image categorization and semantic video retrieval. Science China Information Sciences, 54(10):2051-2063, October 2011. (SCI期刊)

12. Yanan Liu, Yanhong Chen, Ling Zhu. Tensor-based video categorization via sparse representation. Advances in Information Sciences and Service Sciences, 3(8): 8-15, September 2011. (EI国际期刊)

13. Yanan Liu, Fei Wu. Multi-modality Video Shot Clustering with Tensor Representation. Multimedia Tools and Applications, 41(1):93-109, 2009. (SCI收录国际期刊)

14. Fei Wu, Yanan Liu, Yueting Zhuang. Tensor-based Transductive Learning for Multi-modality Video Semantic Concept Detection. IEEE Transactions on Multimedia, 11(5):868-878, 2009. (SCI收录国际期刊)

15.刘亚楠，吴飞，庄越挺.基于多模态子空间相关性传递视频语义挖掘.计算机研究与发展, 46(1):1-8, 2009. (国内一级期刊，EI收录)

16.吴飞，刘亚楠，庄越挺.基于张量表示的直推式多模态视频语义概念检测.软件学报, 19(11): 2853-2868, 2008. (国内一级期刊，EI收录)

17.Yanan Liu, Fei Wu, Yueting Zhuang, Jun Xiao. Active Post-refined Multimodality Video Semantic Concept Detection with Tensor Representation. In Proceeding of the 16th ACM international Conference on Multimedia (Vancouver, Canada, October 26 - 31, 2008).MM '08. ACM, New York, NY, p. 91-100. (EI收录国际会议)

18. Yanan Liu, Fei Wu. Video Semantic Concept Detection using Multi-modality Subspace Correlation Propagation. In Advances in Multimedia Modeling, 13th International Multimedia Modeling Conference (MMM 2007), LNCS 4351, Part I, p. 527-534. (EI收录国际会议)