[1] Deqing Huang; Tengfei Huang; Chunrong Chen; Na Qin*; Xu Jin; Qingyuan Wang; Yong Chen，Iterative Learning Control for High-Speed Trains with Velocity and Displacement Constraints，International Journal of Robust and Nonlinear Control，2021 Accecpted, SCI 二区
[2] Yong Chen,, Deqing Huang, Na Qin*, Yanhui Zhang，Adaptive Iterative Learning Control for a Class of Nonlinear Strict-Feedback Systems with Unknown State Delays，IEEE Transactions on Neural Networks and Learning Systems，2021 Accecpted, SCI 一区
[3] Ziyi Liu, Deqing Huang, Na Qin*, Yiming Zhang, Sijie Ni. An improved subpixel-level registration method for image-based fault diagnosis of train bodies using SURF features. Measurement Science and Technology. 2021 ;32(11):115402. DOI:10.1088/1361-6501/ac07d8 SCI 二区
[4] Huang, Deqing ,Yang, Wanqiu , Huang, Tengfei , Na Qin* , Chen, Yong , Tan, Ying, Iterative Learning Operation Control of High-Speed Trains With Adhesion Dynamics. IEEE Transactions on Control Systems Technology .2021;29(6):2598–608. doi:10.1109/tcst.2021.3049958. SCI二区
[5] Deqing Huang, Shupan Li, Na Qin*, Yuanjie Zhang. Fault Diagnosis of High-Speed Train Bogie Based on the Improved-CEEMDAN and 1-D CNN Algorithms. IEEE Transactions on Instrumentation and Measurement . 2021;70:1–11. doi:10.1109/tim.2020.3047922. SCI 二区
[6] Deqing Huang , Yuanzhe Fu , Na Qin*, Shibin Gao. Fault diagnosis of high-speed train bogie based on LSTM neural network. Science China Information Sciences. 2020;64(1);1-3. doi:10.1007/s11432-018-9543-8. SCI 二区
[7] Habib. U. K. Jadoon, Deqing Huang, Na Qin*, Zifeng Gong. Sensor Fault Diagnosis and Unknown Disturbances Estimation of High Switching Frequency Single-phase PWM Rectifier. International Journal of Control Automation and Systems. 2021 ;19(8):1-15. doi:10.1007/s12555-020-0334-8. SCI 三区
[8] Zifeng Gong, Deqing Huang, Lei Ma, Na Qin*, Habib Ullah Khan Jadoon. Grid voltage sensor fault-tolerant control for single-phase two-level PWM rectifier. IET Electric Power Applications. 2021 Jun 22. doi:10.1049/elp2.12103. SCI 三区
[9] Na Qin, Longkai Liu, Deqing Huang *, Bi Wu, Zonghong Zhang. LeanNet: An Efficient Convolutional Neural Network for Digital Number Recognition in Industrial Products. Sensors. 2021 ;21(11):3620. doi:10.3390/s21113620 SCI 三区
[10] Ziyi Liu; Sijie Ni; Chunmei Yang; Weihao Sun; Deqing Huang; Hu Su; Jian Shu; Na Qin*. Axillary lymph node metastasis prediction by contrast-enhanced computed tomography images for breast cancer patients based on deep learning. Computers in Biology and Medicine . 2021;136:104715. doi:10.1016/j.compbiomed.2021.104715. SCI二区
[11] Awais Shah; Deqing Huang; Tianpeng Huang; Na Qin*. Advanced Sliding Mode Control of Heating and Ventilation Unit in a Light Rail Vehicle[J]. STUDIES IN INFORMATICS AND CONTROL, 2021, 30(3): 121-130. SCI 四区 C类
[12] Chunmei Yang, Jing Dong, Ziyi Liu, Qingxi Guo, Yue Nie, Deqing Huang, Na Qin*, Jian Shu*. Prediction of Metastasis in the Axillary Lymph Nodes of Patients With Breast Cancer: A Radiomics Method Based on Contrast-Enhanced Computed Tomography. Frontiers in Oncology. Frontiers Media SA; 2021. doi:10.3389/fonc.2021.726240. SCI 三区
[13] Xinyue Wang, Deqing Huang*, Na Qin, Chunrong Chen, Kai Zhang. Modeling and Second-Order Sliding Mode Control for Lateral Vibration of High-Speed Train With MR Dampers. IEEE Transactions on Intelligent Transportation Systems . 2021;1–10. SCI 一区
[14] Tian Xiangjin, Huang Deqing*, Qin Na,Gong Zifeng, Wang Qingyuan, Guaranteed Cost Optimal Control of High-Speed Train with Time-delay in Cruise Phase, International Journal of Control, Automation and Systems, 2021,19(6) 2971-2983. SCI 三区
[15] Tianpeng Huang，Deqing Huang*, Na Qin, Yanan Li, Path Planning and Control of a Quadrotor UAV Based on an Improved APF Using Parallel Search, Inernational Journal of Aerospace and Engineering, 2021 Accecpted, SCI 四区
[16] Habib. U. K. Jadoon, Deqing. Huang, Na Qin*, and Z. Gong. Sensor Fault diagnosis and Unknown Disturbances Estimation of High Switching Frequency Single-phase PWM Rectifier. International Journal of Control Automation and Systems, 2021 Accecpted, DOI：10.1007/s12555-020-0334-8 SCI 三区
[17] 张一鸣;秦娜;吴培栋;杜家豪;吴比，SDE网络在高速列车转向架未知故障诊断中的应用，控制工程，2021
[18] Na Qin, Kaiwei Liang, Deqing Huang, Lei Ma, Andrew H Kemp. Multiple Convolutional Recurrent Neural Networks for Fault Identification and Performance Degradation Evaluation of High-speed Train Bogie. IEEE Transactions on Neural Networks and Learning Systems. 2020, 31(12): 5363-5376 SCI一区
[19] Lingling Chen, Na Qin*, Xi Dai, and Deqing Huang, Fault Diagnosis of High-Speed Train Bogie Based on Capsule Network, IEEE Transactions on Instrumentation and Measurement. 2020, 69(9): 6203-6211 IF:3.067. A++ SCI 二区
[20] Shupan. Li, Na Qin, Darong Huang, Deqing Huang* and L. Ke, Damage Localization of Stacker’s Track Based on EEMD-EMD and DBSCAN Cluster Algorithms, IEEE Transactions on Instrumentation and Measurement, 2020,69(5):1981-1992. IF:3.067. A++ SCI 二区.
[21] Xi Dai, Yuxin Mao, Tianpeng Huang, Na Qin. Automatic obstacle avoidance of quadrotor UAV via CNN-based Learning, Neurocomputing. 2020, 402: 346-348 SCI二区
[22] Jingkang Xia, Deqing Huang, Yanan Li, Na Qin. Iterative learning of human partner's desired trajectory for proactive human-robot collaboration, International Journal of intelligent Robotics and applications, 2020, 4(2):229-242.
[23] Liyuan Su, Lei Ma, Na Qin*, Deqing Huang and A. H. Kemp, Fault Diagnosis of High-Speed Train Bogie by Residual-Squeeze Net , IEEE Transactions on Industrial Informatics, 2019, 15(7):3856-3863. SCI 一区
[24] Yong Chen, Deqing Huang, Tianpeng Huang and Na Qin*, Tracking Control via Iterative Learning for High-Speed Trains With Distributed Input Constraints, IEEE Access, 2019, 6(7): 84591-84601. IF: 4.098 A+ SCI 三区
[25] Chunmei Yang, Mengping Huang, Shupan Li, jianqiang Chen, Yao Yang, Na Qin, Deqing Huang* and Jian Shu*, Radiomics model of magnetic resonance imaging for predicting pathological grading and lymph node metastases of extrahepatic cholangiocarcinoma, Cancer Letters,2019,11(470): 1-7. IF:6.508 SCI 一区
[26] Yong Yang, Lei Ma, Deqing Huang, Na Qin*, Output Feedback Repetitive Learning Control of an Electrohydraulic Actuator of a Lower Limb Rehabilitation Exoskeleton, Computing in Science & Engineering, 2018,1(21):6-19. IF: 1.879 A SCI 四区 C类
[27] Tao Yu, Lei Ma, Na Qin*, Adaptive Cooperative Tracking Control of Multi-Agent Systems With Unknown Actuators Hysteresis, IEEE Access, 2018,6(6): 33015-33028. SCI 三区
[28] Kaiwei Liang , Na Qin, Deqing Huang *, Yuanzhe Fu , Convolutional Recurrent Neural Network for Fault Diagnosis of High-Speed Train Bogie, Compexity, 2018(5):1-13. IF:2.591 SCI 二区
[29] Awais Shah, Deqing Huang, Yixing Chen, Xin Kang and Na Qin*. Robust Sliding Mode Control of Air Handling Unit for Energy Efficiency Enhancement. Energies. 2017,11(10):1815. SCI 二区
[30] 冯玎，林圣，张奥，孙小军，秦娜*. 基于连续时间马尔可夫退化过程的牵引供电设备可靠性预测方法研究. 电机工程学报，2017-04 , 37 (7) :1937-1945 EI期刊
[31] Na Qin*, Yongkui Sun, Pengju Gu, Lei Ma. Bogie Fault Identification Based on EEMD Information Entropy and Manifold Learning. The 20th World Congress of the International Federation of Automatic Control, Toules, France, 2017, 50(1):315-318。
[32] Daochao Tang, Na Qin*, Weidong Jin. Fault Diagnosis of Single Yaw Damper Utilizing Hierarchical Multi-class Classifier. Journal of Computers , 2017,02(28) 5:94-104 EI期刊
[33] 秦娜*,蒋鹏,孙永奎,金炜东.基于EEMD排列熵的高速列车转向架故障特征分析[J].振动.测试与诊断,2015-10,35(05):885-891+991.. A EI
[34] 秦娜*, 金炜东, 黄进等. 高速列车转向架故障信号的聚合经验模态分解和模糊熵特征分析[J]. 控制理论与应用, 2014-09，31(09):1245-1251. EI
[35] 秦娜*，王开云，金炜东，黄 进，孙永奎. 高速列车转向架故障的经验模态熵特征分析. 交通运输工程学报，2014-02,14(1):57-64. EI
[36] 秦娜*，金炜东，黄进，李智敏，刘景波. 基于EEMD样本熵的高速列车转向架故障特征提取. 西南交通大学学报，2014-02,49(1):1-6 EI
[37] 秦娜*，金炜东，黄 进，苟先太，蒋 鹏. 高速列车转向架故障信号的小波熵特征分析. 计算机应用研究，2013-12,30（12）：3657-3663
[38] 秦娜*，金炜东，黄 进，李智敏，刘景波. 基于EEMD的高速列车转向架故障诊断. 计算机工程，2013-12,39(12).pp:1-4 .. EI
