7月9日,科睿唯安(原汤森路透)公布了最新ESI数据，我所共有7篇论文入选ESI高被引论文，再创新高！具体论文清单如下：

    1. Shen C , Wang D , Kong F , et al. Fault diagnosis of rotating machinery based on the statistical parameters of wavelet packet paving and a generic support vector regressive classifier[J]. Measurement, 2013, 46(4):1551-1564. 被引频次：149

    2. Guo X , Chen L , Shen C . Hierarchical adaptive deep convolution neural network and its application to bearing fault diagnosis[J]. Measurement, 2016, 93:490-502. 被引频次：210

 3. Siliang Lu, Qingbo He*, Jun Wang, A review of stochastic resonance in rotating machine fault detection, Mechanical Systems and Signal Processing, 2019, 116: 230–260.被引频次：82

    4. Qi Y , Shen C , Wang D , et al. Stacked Sparse Autoencoder-Based Deep Network for Fault Diagnosis of Rotating Machinery[J]. IEEE Access, 2017, 5: 15066-15079. 被引频次：72

    5. Jiang X , Wang J , Shi J , et al. A coarse-to-fine decomposing strategy of VMD for extraction of weak repetitive transients in fault diagnosis of rotating machines[J]. Mechanical systems and signal processing, 2019, 116(FEB.1):668-692. 被引频次：43

    6. Wang, J. , Li, S. , An, Z. , Jiang, X. , Qian, W. , & Ji, S. . (2019). Batch-normalized deep neural networks for achieving fast intelligent fault diagnosis of machines. Neurocomputing, 329(FEB.15), 53-65. 被引频次：36

    7. Ning Li , Weiguo Huang*, Wenjun Guo , Guanqi Gao , Zhongkui Zhu. Multiple Enhanced Sparse Decomposition for gearbox compound fault diagnosis[J], IEEE Transactions on Instrumentation and Measurement, 2020, 69(3): 770-781. 被引频次：12

ESI全称为基本科学指标数据库（Essential Science Indicators），是世界范围内普遍用以评价高校、学术机构等学术水平及影响力的重要评价指标工具之一。ESI高被引论文（Highly Cited Papers）是指最近10年内发表论文中被引用次数排在相应学科领域全球前1%以内的论文。

以上成果得到了国家自然科学基金，江苏省自然科学基金，中国博士后科学基金特别资助等项目支持。