部分SCI期刊论文：

[1]  Zhang Can, Hu Yuanjiang, Fang Jiaxin, Yin Yirui, Huang Deqing, Qin Na, A novel spatio-temporal feature fusion attention model for lithium-ionbattery capacity estimation using graph convolutional network, Energy,  2025 SCI 1区

[2]  Yang Zongjin, Wen Jun, Huang Deqing, Yang Aisen, Zhang Rong, Ren Bo, Chen Zhenhao, Yin Yirui, Qin Na*.Efficient segmentation of intraoperative anatomical landmarks in laparoscopic cholecystectomy based on deep learning，Computer Methods and Programs in Biomedicine，2025, (271): 109012.,SCI 2区

[3]  Jia Xinming, Qin Na, Huang Deqing, Ge Quanbo, Zhang Yiming. Heterogeneous Federated Large-Scale Model Architecture with Privacy Protection for Cross-Corporation Non-IID Fault Diagnosis, IEEE Transactions on Instrumentation & Measurement, , 2025, 25(14): 27043 - 27055. SCI 2区

[4]  Zhu Lei, Li Xuefang, Huang Deqing, Qin Na. Cooperative control of virtually coupled trains considering train-to-train communication cycle: a tube-based model predictive control approach[J]. Vehicle System Dynamics, 2025, 63(1): 3-25.

[5] Jia Xinming,Qin Na*, Huang Deqing, You Yiting, Du Jiahao. Multi-Sensor Graph Transfer Network with Multi-Attention Mechanism for Cross-Railway Fault Localization in High-Speed Train Bogie，Journal of Vibration and Control，2025,31. SCI 3区

[6]   Jia Xinming, Qin Na, Huang Deqing, Du Jiahao, Wang Tianwei. Industrial Large-Scale Diagnostic Model with Lightweight Customized Deployment for Distributed Multiple Non-IID Diagnostic Tasks. IEEE SENSORS JOURNAL,2025, 25(14): 27043-27055. SCI 3区

[7]  Yin Y, Huang D, Qin N, et al. A Stacked Generalized Zero-Shot Learning Framework for Fault Diagnosis of High-Speed Train Bogies With Data Imbalance[J]. IEEE Transactions on Instrumentation and Measurement, 2025,74. SCI 2区

[8] Du, Jiahao; Qin, Na; Huang, Deqing; Jia, Xinming; Zhang, Yiming. A Multi-rank Federated Distillation Framework for Data-imbalance Fault Diagnosis of Multi-railway High-speed Train Bogies, IEEE Transactions on Intelligent Transportation Systems, 2025,26(4):4823 - 4836 SCI 2区

[9]  Chen Y, Liu M, Huang D, Liu Z, Yang A, Qin N, et al.  Predicting short-term and long-term efficacy of HIFU treatment for uterine fibroids based on clinical information and MRI: A retrospective study，Academic Radiology，2025, 32(3): 1488-1499.  SCI 2区

[10]    Na Qin; Yirui Yin; Deqing Huang; Yiting You; Ranyang Hou. Generalized Zero-Shot Learning for Fault Diagnosis in High-Speed Train Bogies Based on Enhanced Diffusion Generative Models, IEEE Transactions on Reliability, 2025,74(2):2867-2879  SCI 2区

[11]  Jiahao Du, Na Qin*, Deqing Huang, Xinming Jia, Yiming Zhang. Lightweight FL: A Low-Cost Federated Learning Framework for Mechanical Fault Diagnosis with Training Optimization and Model Pruning[J]. IEEE Transactions on Instrumentation and Measurement, 2024, 73: 1-14  SCI 2区

[12]    杜家豪，秦娜*，贾鑫明，张一鸣，黄德青，基于联邦学习的多线路高速列车转向架故障诊断[J]. 西南交通大学学报, 2024, 59(1): 185-192  EI检索

[13]    Zhang Yiming, Qin Na*, Huang Deqing, et al. Generalized Zero-Shot Approach Leveraging Attribute Space for High-Speed Train Bogie[J]. IEEE Transactions on Instrumentation and Measurement, 2024, 73: 1-12   SCI 2区

[14]    Jin Xu*, Jinfeng Bu, Na Qin*, Deqing Huang. SCA-MADRL: Multiagent deep reinforcement learning framework based on state classification and assignment for intelligent shield attitude control[J]. Expert Systems with Applications, 2024, 235: 121258   SCI1区

[15]    Zhang Yiming, Qin Na, Huang Deqing, Yin Yirui,Yang Aisen.Generalized Zero-Shot Diagnosis Strategy for High-Speed Train Bogie Faced with a Scarcity of Specific Fault Samples, Journal of Vibration and Control.2024   SCI三3区

[16]    Na Qin, Yiting You, Deqing Huang, Xinming Jia, Yiming Zhang, Jiahao Du, Tianwei Wang, AttGAN-DPCNN: An Extremely Imbalanced Fault Diagnosis Method for Complex Signals From Multiple Sensors, IEEE sensors Journal, 2024, 24(22): 38270-38285.  SCI 2区

[17]    Jia Xinming, Qin Na*, Huang Deqing, Du Jiahao, Zhang Yiming. GraphFL: Graph Federated Learning for Fault Localization of Multi-Railway High-Speed Train Suspension Systems, IEEE Transactions on Instrumentation & Measurement, 2024 . 10.1109/TIM.2024.3472829  SCI 2区

[18]    Junqiang Cheng, Binnan Zhao, Ziyi Liu, Deqing Huang, Na Qin*, Aisen Yang, Yuan Chen, and Jian Shu，DMGM: deformable-mechanism based cervical cancer staging via MRI multi-sequence，Physics in Medicine and Biology，2024, 69(11) : 115044.  SCI3区

[19]    Jiahao Du, Na Qin*, Deqing Huang, Yiming Zhang, Xinming Jia，An Efficient Federated Learning Framework for Machinery Fault Diagnosis with Improved Model Aggregation and Local Model Training，IEEE Transactions on Neural Networks and Learning Systems，2024,35(7) : 10086-10097.  SCI1区

[20]    Mao Yongjie, Huang Deqing, Qin Na*,Zhu Lei etc. Cooperative 3D path planning of multi-UAV via improved fruit fly optimization, Journal of Systems Engineering and Electronics, 2023 SCI 3区

[21]    Aisen Yang, Lulu Xu, Na Qin*, Deqing Huang, Ziyi Liu, Jian Schu. MFU-Net: A Deep Multimodal Fusion Network for Breast Cancer Segmentation with Dual-layer Spectral Detector CT. Applied Intelligence. 2023,54(5): 3808-3824.  SCI 2区

[22]    Na. Qin, Tianwei. Wang, Deqing. Huang, Y. You and Y. Zhang, VWM-DCRNN: A Method of Combining Signal Processing With Deep Learning for Fault Diagnosis in Single-Phase PWM Rectifier, IEEE Transactions on Power Electronics, 2023, 38(7), 8894-8906,  SCI一区

[23]    Huang Deqing, He Yingxiang, Yu Wei, Qin Na, et al. Spatial Adaptive Iterative Learning Tracking Control for High-Speed Trains Considering Passing Through Neutral Sections[J]. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2023, 53(10): 6157 - 6168. SCI 1区

[24]    Na Qin, Tianwei Wang, Deqing Huang*, Yiming Zhang, Lei Ma，An Open-Switch Fault Diagnosis Method for Single-Phase PWM Rectifier Based on CEEMD-DNN，International Journal of Control Automation and Systems，2023, 21(10): 3430–3442，SCI三区

[25]    Na Qin, Jiahao Du, Yiming Zhang, Deqing Huang*, Bi Wu，Fault Diagnosis of Multi-railway High-Speed Train Bogies by Improved Federated Learning[J]. IEEE Transactions on Vehicular Technology, 2023, 72(6): 7184-7194. SCI 2区

[26]    Wei Yu, Deqing Huang, Na Qin*，Resilient Coordinated Data-Driven Control of Multiple High-Speed Trains under Fading Measurements and Denial-of-Service Attacks[J]. IEEE Transactions on Vehicular Technology, 2023,72(5): 5690-5701. SCI 2区.

[27]    Ziyi Liu, Lulu Xu, Na Qin*, Aisen Yang, Yuan Chen, Deqing Huang, Jian Shu*，Prediction of esophageal and gastric varices rebleeding for cirrhotic patients based on deep learning[J]. Biomedical Signal Processing and Control, 2023, 81: 104420，SCI二区   

[28]    Ziyi Liu, Deqing Huang, Chunmei Yang, Jian Shu*, Jinhan Li, Na Qin*，Efficient Axillary Lymph Node Detection Via Two-stage Spatial-information-fusion-based CNN，Computer Methods and Programs in Biomedicine，2022，223:106953  SCI二区

[29]    Huang Deqing, Huang Tianpeng*, Qin Na, et al. Finite-time control for a UAV system based on finite-time disturbance observer[J]. Aerospace Science and Technology, 2022, 129: 107825. SCI 1区.

[30]    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 . 2022, 23(8): 10299-10308.  SCI 一区

[31]   Yiming Zhang，Na Qin*，Deqing Huang，Jiahao Du，Precise Diagnosis of Unknown Fault of High-Speed Train Bogie Using Novel FBM-Net，IEEE Transactions on Instrumentation and Measurement，2022,71:1-11，SCI二区

[32]  Xinming Jia, Na Qin*, Deqing Huang, Yiming Zhang, Jiahao Du，A Clustered Blueprint Separable Convolutional Neural Network with High Precision for High-speed Train Bogie Fault Diagnosis，Neurocomputing，2022，500:422-433. SCI二区

[33]   Wei Yu, Deqing Huang*, Xuhui Bu, Na Qin，Iterative Learning Guaranteed Cost Control Based on Two-dimensional Roesser Systems Subject to Denial-of-service Attacks and Fading Measurments，International Journal of Robust and Nonlinear Control，2022; 32( 11): 6441– 6462. SCI二区

[34]  Na Qin, Bi Wu, Deqing Huang*, Yiming Zhang, Stepwise Adaptive Convolutional Network for Fault Diagnosis of High-speed Train Bogie under Variant Running Speeds, IEEE Transactions on Industrial Informatics, 2022,18(16),8389-8398  SCI 一区

[35]    Yiming Zhang，Na Qin*，Deqing Huang，Bi Wu, Ziyi Liu，High-accuracy and Adaptive Fault Diagnosis of High-Speed Train Bogie Using Dense-Squeeze Network，IEEE Transactions on Vehicular Technology，2022,71(3),2501-2510, SCI 二区 A类

[36]    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，2022，32(6), 3647-3661, SCI 二区  A类

[37]    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. 2022,16(7), 776– 788   SCI 三区

[38]    Xinyue Wang, Deqing Huang*, Na Qin, Chunrong Chen, Kai Zhang,，Modeling and Second-order Sliding Mode Control for Lateral Virbration of High-speed Train With MR Dampers，IEEE Transactions on Intelligent Transportation Systems，2022,23(8):10299-10308，SCI 一区

[39]    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, 34(9): 6416-6427. SCI 一区

[40]  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. 2021,2(11):115402. SCI 二区

[41]   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 .2021,9(6):2598–608.   SCI二区

[42]    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. 2021,0:1–11.   SCI 二区

[43]  Na Qin, Longkai Liu, Deqing Huang *, Bi Wu, Zonghong Zhang. LeanNet: An Efficient Convolutional Neural Network for Digital Number Recognition in Industrial Products. Sensors. 2021,1(11):3620.     SCI 三区

[44]   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 .  2021,36:104715.     SCI二区

[45]    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, 11.    SCI 三区

[46]  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

[47]   Deqing Huang , Yuanzhe Fu , Na Qin*, Shibin Gao. Fault diagnosis of high-speed train bogie based on LSTM neural network. Science China Information Sciences. 2021, 64: 119203.  SCI 二区

[48]    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

[49]    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.  SCI 二区

[50]    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. SCI 二区.

[51]    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

[52]    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. 

[53]    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

[54]    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 SCI 三区

[55]    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  

[56]    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.  SCI 二区