| Automatic modulation classification using cyclic correntropy spectrum in impulsive noise J Ma, T Qiu IEEE Wireless Communications Letters 8 (2), 440-443, 2018 | 68 | 2018 |
| Unauthorized broadcasting identification: A deep LSTM recurrent learning approach J Ma, H Liu, C Peng, T Qiu IEEE Transactions on Instrumentation and Measurement 69 (9), 5981-5983, 2020 | 60 | 2020 |
| Automatic modulation classification under non-Gaussian noise: A deep residual learning approach J Ma, SC Lin, H Gao, T Qiu ICC 2019-2019 IEEE International Conference on Communications (ICC), 1-6, 2019 | 40 | 2019 |
| A review in guided-ultrasonic-wave-based structural health monitoring: From fundamental theory to machine learning techniques Z Yang, H Yang, T Tian, D Deng, M Hu, J Ma, D Gao, J Zhang, S Ma, ... Ultrasonics, 107014, 2023 | 35 | 2023 |
| A simplified DOA estimation method based on correntropy in the presence of impulsive noise Q Tian, T Qiu, J Ma, J Li, R Li IEEE Access 6, 67010-67025, 2018 | 16 | 2018 |
| Automatic modulation classification in impulsive noise: Hyperbolic-tangent cyclic spectrum and multibranch attention shuffle network J Ma, M Hu, T Wang, Z Yang, L Wan, T Qiu IEEE Transactions on Instrumentation and Measurement 72, 1-13, 2023 | 14 | 2023 |
| Fast blind equalization using bounded non-linear function with non-Gaussian noise J Ma, T Qiu, Q Tian IEEE Communications Letters 24 (8), 1812-1815, 2020 | 14 | 2020 |
| Metamaterials with analogous electromagnetically induced transparency and related sensor designs—A review Z Xu, Y Wang, S Liu, J Ma, S Fang, H Wu IEEE Sensors Journal, 2023 | 13 | 2023 |
| Ocean observation data prediction for Argo data quality control using deep bidirectional LSTM network F Jiang, J Ma, B Wang, F Shen, L Yuan Security and Communication Networks 2021, 1-11, 2021 | 11 | 2021 |
| Ultrasonic detection methods for mechanical characterization and damage diagnosis of advanced composite materials: A review H Yang, L Yang, Z Yang, Y Shan, H Gu, J Ma, X Zeng, T Tian, S Ma, Z Wu Composite Structures, 117554, 2023 | 10 | 2023 |
| Off-grid doa estimation using sparse Bayesian learning for mimo radar under impulsive noise J Ma, J Zhang, Z Yang, T Qiu Sensors 22 (16), 6268, 2022 | 8 | 2022 |
| TDOA estimation algorithm based on generalized cyclic correntropy in impulsive noise and cochannel interference X Chen, T Qiu, C Liu, J Ma IEICE Transactions on Fundamentals of Electronics, Communications and …, 2018 | 8 | 2018 |
| Dual-mode blind equalization algorithm based on Renyi entropy and fractional lower order statistics under impulsive noise J MA, T QIU, R LI, N XIA, J LI 电子与信息学报 40 (2), 378-385, 2018 | 8 | 2018 |
| Super-resolution time delay estimation using exponential kernel correlation in impulsive noise and multipath environments J Ma, J Zhang, Z Yang, H Liu, L Wan, T Qiu Digital Signal Processing 133, 103882, 2023 | 7 | 2023 |
| Compact substrate integrated waveguide filtering antennas: A review X Sun, J Ma, Y Feng, J Shi, Z Xu IEEE Access 10, 91906-91922, 2022 | 7 | 2022 |
| A novel DOA estimation for distributed sources in an impulsive noise environment Q Tian, T Qiu, R Cai, J Ma IEEE Access 8, 61405-61420, 2020 | 7 | 2020 |
| Variable step-size modified blind equalization algorithm based on fractional lower order statistics under impulsive noise J Ma, T Qiu, R Li, J Li 2017 3rd IEEE International Conference on Computer and Communications (ICCC …, 2017 | 7 | 2017 |
| Automatic Modulation Classification Using Fractional Low Order Cyclic Spectrum and Deep Residual Networks in Impulsive Noise J Ma, F Jiang 2021 IEEE MTT-S International Wireless Symposium (IWS), 1-3, 2021 | 6 | 2021 |
| Robust fractional lower order correntropy algorithm for DOA estimation in impulsive noise environments Q Tian, T Qiu, J Ma, J Li, R Li IEICE Transactions on Communications 104 (1), 35-48, 2021 | 6 | 2021 |
| Feature fusion convolution-aided transformer for automatic modulation recognition M Hu, J Ma, Z Yang, J Wang, J Lu, Z Wu IEEE Communications Letters, 2023 | 5 | 2023 |
Zhengyan YangDalian University of TechnologyEmail confirmado em mail.dlut.edu.cn
