1. 学术研究论文
[1] Cao Jianfang*, Zhao Aidi, Zhang Zibang. Automatic image annotation method based on a convolutional neural network with threshold optimization [J]. PLoS ONE, 2020, 15(09): 1-21.（SCI）
[2] Cao Jianfang*, Chen Lichao, Wu Chenyan, Zhang Zibang. CM-supplement network model for reducing the memory consumption during multilabel image annotation [J]. PLoS ONE, 2020, 15(06): 1-17.（SCI）
[3] 曹建芳*, 张琦, 崔红艳, 张自邦. 改进的GrabCut算法在古代壁画分割中的应用[J]. 湖南科技大学学报（自然科学版）, 2020, 35(02): 83-89. （中文核心）
[4] Cao Jianfang*, Cui Hongyan, Zhang Qi, Zhang Zibang. Ancient mural classification method based on improved AlexNet network[J]. Studies in Conservation, 2020: 1-13.（SCI）
[5] Cao Jianfang*, Zhang Zibang, Zhao Aidi, Cui Hongyan, Zhang Qi. Ancient mural restoration based on a modified generative adversarial network[J]. Heritage Science, 2020, 8: 1-14.（SCI）
[6] 曹建芳*, 崔红艳, 张琦. 特征融合AlexNet模型的古代壁画分类[J]. 中国图象图形学报, 2020, 25(01): 92-101. （CSCD、中文核心）
[7] 陈立潮, 郑佳敏, 曹建芳*, 潘理虎, 张睿. 基于胶囊网络的智能交通标志识别方法[J]. 计算机应用, 2020, 40(04): 1045-1049. （中文核心）
[8] Cao Jianfang*, Wu Chenyan, Chen Lichao, Cui Hongyan, Feng Guoqing. An improved convolutional neural network algorithm and its application in multilabel image labeling[J]. Computational Intelligence and Neuroscience, 2019: 1-12.（SCI）
[9] Cao Jianfang*, Wang Min, Li Yanfei, Zhang Qi. Improved support vector machine classification algorithm based on adaptive feature weight updating in the Hadoop cluster environment[J]. PLoS ONE, 2019, 14(04): 1-18.（SCI）
[10] Hao Yaojun, Zhang Fuzhi*, Wang Jian, Zhao Qingshan, Cao Jianfang. Detecting shilling attacks with automatic features from multiple views[J]. Security and Communication Networks, 2019: 1-13.（SCI）
[11] 曹建芳*, 李艳飞, 崔红艳, 张琦.自适应样本块局部搜索算法对古代寺观壁画的修复[J]. 计算机辅助设计与图形学学报, 2019, 31(11): 2030-2037. （CSCD、中文核心）
[12] Cao Jianfang*, Li Yanfei, Wang Yan, Cui Hongyan, Tian Yun. Improved classification approach for use with large-scale scene images in the Hadoop cluster environment[J]. Journal of Electronic Imaging, 2018, 27(04): 1-13.（SCI）
[13] Cao Jianfang*, Li Yanfei, Cui Hongyan, Zhang Qi. Improved region growing algorithm for the calibration of flaking deterioration in ancient temple murals[J]. Heritage Science, 2018, 6: 1-12.（SCI）
[14] Cao Jianfang*, Li Yanfei, Tian Yun. Emotional modelling and classification of a large-scale collection of scene images in a cluster environment[J]. PLoS ONE, 2018, 13(01): 1-20.（SCI）
[15] Cao Jianfang*, Chen Lichao, Wang Min, Tian Yun. Implementing a parallel image edge detection algorithm based on the otsu-canny operator on the Hadoop platform[J]. Computational Intelligence and Neuroscience, 2018: 1-12. （SCI）
[16] Cao Jianfang*, Chen Lichao*, Wang Min, Shi Hao, Tian Yun. A parallel Adaboost-Backpropagation neural network for massive image dataset classification[J]. Scientific Reports, 2016: 1-15.（SCI）
[17] Cao Jianfang, Cui Hongyan*, Shi Hao, Jiao Lijuan. Big Data: A parallel particle swarm optimization-back-propagation neural network algorithm based on MapReduce[J]. PLoS ONE, 2016, 11(06): 1-17.（SCI）
[18] Cao Jianfang*, Wang Min, Shi Hao, Hu Guohua, Tian Yun. A new approach for large-scale scene image retrieval based on improved parallel k-means algorithm in MapReduce environment[J]. Mathematical Problems in Engineering, 2016: 1-17.（SCI）
[19] Cui Hongyan, Cao Jianfang*, Shi Hao, E.C. Bacharoudis. Semantic-based retrieval using various visual features for real-world images[J]. Journal of Mechanical Engineering Research and Developments, 2016, 39(02): 324-339.（EI）
[20] Cao Jianfang*, Chen Lichao. Fuzzy emotional semantic analysis and automated annotation of scene images[J]. Computational Intelligence and Neuroscience, 2015: 1-10.（SCI）
[21] Yang Yuli, Peng Xinguang*, Cao Jianfang. Trust-based scheduling strategy for cloud workflow applications[J]. Informatica, 2015, 26(01): 159-180.（SCI）
2. 教学研究论文
[1] 曹建芳, 武晓军, 胡玉兰. 新工科背景下基于产学合作的网络工程专业课程改革实践[J]. 大学教育, 2019, (11): 63-65.
[2] 曹建芳, 武晓军. 面向新工科的《操作系统》课程改革研究[J]. 软件导刊, 2019, 18(10): 209-212.
[3] 曹建芳, 李朝霞. 融合MOOC的校企深度合作教学模式探索[J]. 高师理科学刊, 2019, 39(05): 86-90.
[4] 曹建芳, 郝耀军. 基于并行Adaboost-BP网络的大规模在线学习行为评价[J].计算机应用与软件, 2017, 34(07): 267-272.
[5] 曹建芳, 郝耀军, 王鸿斌. 地方高校理工科应用型本科人才培养模式探析[J].大学教育, 2017(02): 123-126.
[6] 曹建芳, 王鸿斌. 地方高校融合MOOC的网络工程专业教学模式探讨[J]. 高师理科学刊, 2016, 36(03): 66-69.
[7] 曹建芳, 王鸿斌, 郝耀军. 基于混合学习理念的网络工程专业教学模式研究[J]. 软件导刊, 2016, 15(04): 195-198.
[8] 曹建芳, 郝耀军. 面向应用创新能力培养的操作系统课程教学改革探讨[J]. 计算机时代, 2016(04): 80-82.
[9] 曹建芳, 郝耀军. 新建地方本科院校创新创业人才培养模式探析[J]. 教育教学论坛, 2016, (44): 203-204.
