| Deep learning in optical metrology: a review C Zuo, J Qian, S Feng, W Yin, Y Li, P Fan, J Han, K Qian, Q Chen Light: Science & Applications 11 (1), 1-54, 2022 | 448 | 2022 |
| Deep learning the high variability and randomness inside multimode fibers P Fan, T Zhao, L Su Optics express 27 (15), 20241-20258, 2019 | 117 | 2019 |
| Learning enabled continuous transmission of spatially distributed information through multimode fibers P Fan, M Ruddlesden, Y Wang, L Zhao, C Lu, L Su Laser & Photonics Reviews 15 (4), 2000348, 2021 | 32 | 2021 |
| Deep learning enabled scalable calibration of a dynamically deformed multimode fiber P Fan, Y Wang, M Ruddlesden, X Wang, MA Thaha, J Sun, C Zuo, L Su Advanced Photonics Research 3 (10), 2100304, 2022 | 8 | 2022 |
| Light propagation prediction through multimode optical fibers with a deep neural network P Fan, L Deng, L Su 2018 IEEE 3rd Advanced Information Technology, Electronic and Automation …, 2018 | 6 | 2018 |
| Correction: Deep learning in optical metrology: a review Z Chao, Q Jiaming, F Shijie, W Yin, Y Li, F Pengfei, J Han, Q Kemao, ... Light: Science and Applications 11 (1), 2022 | 4 | 2022 |
| Learning enabled dense space-division multiplexing through a single multimode fibre P Fan, M Ruddlesden, Y Wang, L Zhao, C Lu, L Su arXiv preprint arXiv:2002.01788, 2020 | 3 | 2020 |
| The impact of social supervision on household's sewage discharge behavior: Evidence from Jiangsu province M SU, P FAN, L ZHANG, S FENG Journal of Natural Resources 38 (5), 1349-1365, 2023 | 2 | 2023 |
| Speckle reconstruction with corruption through multimode fibers using deep learning P Fan, M Ruddlesden, Y Wang, L Su CLEO: Science and Innovations, SM2L. 4, 2020 | 2 | 2020 |
| Fuel consumption estimation in heavy-duty trucks: Integrating vehicle weight into deep-learning frameworks P Fan, G Song, Z Zhai, Y Wu, L Yu Transportation Research Part D: Transport and Environment 130, 104157, 2024 | 1 | 2024 |
| Semi-supervised learning enabled scalable high-spatial-density channel multiplexing over multimode fibers P Fan, M Ruddlesden, Y Wang, L Zhao, C Lu, L Su 2022 27th OptoElectronics and Communications Conference (OECC) and 2022 …, 2022 | 1 | 2022 |
| The impact of farmland transfer target assessment on village farmland transfer: An integrated analysis of the moderating effect of village institutional environment. P Fan, L Zhang, M Su, S Feng | 1 | 2022 |
| Parameter estimation algorithm based on the combination of cross-correlation and principal component analysis for structured illumination microscopy Y Huang, J Qian, P Fan, Y Liu Sixth Conference on Frontiers in Optical Imaging and Technology: Novel …, 2024 | | 2024 |
| Tiled and layer-adaptive three-dimensional structured illumination microscopy based on principal component analysis W Xia, J Qian, P Fan, C Zuo Sixth Conference on Frontiers in Optical Imaging and Technology: Novel …, 2024 | | 2024 |
| A high-performance conical-neck helmholtz resonator-based piezoelectric self-powered system for urban transportation P Fan, S Wang, X Wang Applied Acoustics 220, 109945, 2024 | | 2024 |
| Super-resolved image reconstruction by structured illumination microscopy W Xia, Y Bi, Y Cao, K Xu, P Fan Advanced Optical Imaging Technologies V, PC123160S, 2023 | | 2023 |
| Public policy choices for agricultural modernization: an analysis of transformation of agricultural operation practices as an example. P Fan, M Su, Y Liu, S Feng | | 2022 |
| Deep Learning for Information Transmission through Multimode Optical Fibres P Fan Queen Mary University of London, 2021 | | 2021 |
Chao ZUOSmart Computational Imaging Lab (SCILab) @ Nanjing University of Science and Technology在 njust.edu.cn 的电子邮件经过验证
