| Artificial neural networks for microwave computer-aided design: The state of the art F Feng, W Na, J Jin, J Zhang, W Zhang, QJ Zhang IEEE Transactions on Microwave Theory and Techniques 70 (11), 4597-4619, 2022 | 114 | 2022 |
| Polynomial chaos-based approach to yield-driven EM optimization J Zhang, C Zhang, F Feng, W Zhang, J Ma, QJ Zhang IEEE Transactions on Microwave Theory and Techniques 66 (7), 3186-3199, 2018 | 106 | 2018 |
| Coarse-and fine-mesh space mapping for EM optimization incorporating mesh deformation F Feng, J Zhang, W Zhang, Z Zhao, J Jin, QJ Zhang IEEE Microwave and Wireless Components Letters 29 (8), 510-512, 2019 | 91 | 2019 |
| Space mapping approach to electromagnetic centric multiphysics parametric modeling of microwave components W Zhang, F Feng, J Zhang, S Yan, J Ma, QJ Zhang IEEE Transactions on Microwave Theory and Techniques 66 (7), 3169-3185, 2018 | 81 | 2018 |
| Adaptive feature zero assisted surrogate-based EM optimization for microwave filter design F Feng, C Zhang, W Na, J Zhang, W Zhang, QJ Zhang IEEE Microwave and Wireless Components Letters 29 (1), 2-4, 2018 | 70 | 2018 |
| ANNs for fast parameterized EM modeling: The state of the art in machine learning for design automation of passive microwave structures F Feng, W Na, J Jin, W Zhang, QJ Zhang IEEE Microwave Magazine 22 (10), 37-50, 2021 | 57 | 2021 |
| A novel training approach for parametric modeling of microwave passive components using Padé via Lanczos and EM sensitivities J Zhang, F Feng, W Zhang, J Jin, J Ma, QJ Zhang IEEE Transactions on Microwave Theory and Techniques 68 (6), 2215-2233, 2020 | 50 | 2020 |
| Advanced parallel space-mapping-based multiphysics optimization for high-power microwave filters W Zhang, F Feng, W Liu, S Yan, J Zhang, J Jin, QJ Zhang IEEE transactions on microwave theory and techniques 69 (5), 2470-2484, 2021 | 48 | 2021 |
| EM-centric multiphysics optimization of microwave components using parallel computational approach W Zhang, F Feng, S Yan, W Na, J Ma, QJ Zhang IEEE Transactions on Microwave Theory and Techniques 68 (2), 479-489, 2019 | 41 | 2019 |
| Space mapping technique using decomposed mappings for GaN HEMT modeling Z Zhao, L Zhang, F Feng, W Zhang, QJ Zhang IEEE Transactions on Microwave Theory and Techniques 68 (8), 3318-3341, 2020 | 40 | 2020 |
| Parametric modeling of EM behavior of microwave components using combined neural networks and hybrid-based transfer functions Z Zhao, F Feng, W Zhang, J Zhang, J Jin, QJ Zhang IEEE Access 8, 93922-93938, 2020 | 32 | 2020 |
| Adaptively weighted yield-driven EM optimization incorporating neurotransfer function surrogate with applications to microwave filters J Zhang, F Feng, J Jin, W Zhang, Z Zhao, QJ Zhang IEEE Transactions on Microwave Theory and Techniques 69 (1), 518-528, 2020 | 27 | 2020 |
| Parallel decomposition approach to wide-range parametric modeling with applications to microwave filters W Zhang, F Feng, J Zhang, Z Zhao, J Ma, QJ Zhang IEEE Transactions on Microwave Theory and Techniques 68 (12), 5288-5306, 2020 | 27 | 2020 |
| Automated neural network-based multiphysics parametric modeling of microwave components W Na, W Zhang, S Yan, F Feng, W Zhang, Y Zhang IEEE Access 7, 141153-141160, 2019 | 26 | 2019 |
| A time delay neural network based technique for nonlinear microwave device modeling W Liu, L Zhu, F Feng, W Zhang, QJ Zhang, Q Lin, G Liu Micromachines 11 (9), 831, 2020 | 25 | 2020 |
| Parallel multiphysics optimization for microwave devices exploiting neural network surrogate W Zhang, F Feng, J Jin, QJ Zhang IEEE Microwave and Wireless Components Letters 31 (4), 341-344, 2021 | 23 | 2021 |
| Advanced cognition-driven EM optimization incorporating transfer function-based feature surrogate for microwave filters J Jin, F Feng, W Na, J Zhang, W Zhang, Z Zhao, QJ Zhang IEEE Transactions on Microwave Theory and Techniques 69 (1), 15-28, 2020 | 23 | 2020 |
| Adjoint EM sensitivity analysis for fast frequency sweep using matrix Padé via Lanczos technique based on finite-element method F Feng, J Zhang, J Jin, W Zhang, Z Zhao, QJ Zhang IEEE Transactions on Microwave Theory and Techniques 69 (5), 2413-2428, 2021 | 22 | 2021 |
| Advanced parametric modeling using neuro-transfer function for EM based multiphysics analysis of microwave passive components W Zhang, F Feng, J Zhang, S Zhang, QJ Zhang 2016 IEEE MTT-S International Microwave Symposium (IMS), 1-3, 2016 | 15 | 2016 |
| Recent advances in deep neural network technique for high-dimensional microwave modeling J Jin, F Feng, W Zhang, J Zhang, Z Zhao, QJ Zhang 2020 IEEE MTT-S International Conference on Numerical Electromagnetic and …, 2020 | 14 | 2020 |
Feng FengAssociate Professor, Tianjin UniversityPatvirtintas el. paštas tju.edu.cn