| Learning to decompose the modes in few-mode fibers with deep convolutional neural network Y An, L Huang, J Li, J Leng, L Yang, P Zhou Optics express 27 (7), 10127-10137, 2019 | 150 | 2019 |
| Real-time mode decomposition for few-mode fiber based on numerical method L Huang, S Guo, J Leng, H Lü, P Zhou, X Cheng Optics express 23 (4), 4620-4629, 2015 | 119 | 2015 |
| Fiber laser development enabled by machine learning: review and prospect M Jiang, H Wu, Y An, T Hou, Q Chang, L Huang, J Li, R Su, P Zhou PhotoniX 3 (1), 16, 2022 | 95 | 2022 |
| High-power 1018 nm ytterbium-doped fiber laser and its application in tandem pump H Xiao, J Leng, H Zhang, L Huang, J Xu, P Zhou Applied Optics 54 (27), 8166-8169, 2015 | 89 | 2015 |
| Deep-learning-based phase control method for tiled aperture coherent beam combining systems T Hou, Y An, Q Chang, P Ma, J Li, D Zhi, L Huang, R Su, J Wu, Y Ma, ... High Power Laser Science and Engineering 7, e59, 2019 | 72 | 2019 |
| Deep-learning-assisted, two-stage phase control method for high-power mode-programmable orbital angular momentum beam generation T Hou, Y An, Q Chang, P Ma, J Li, L Huang, D Zhi, J Wu, R Su, Y Ma, ... Photonics Research 8 (5), 715-722, 2020 | 68 | 2020 |
| Deep learning-based real-time mode decomposition for multimode fibers Y An, L Huang, J Li, J Leng, L Yang, P Zhou IEEE Journal of Selected Topics in Quantum Electronics 26 (4), 1-6, 2020 | 55 | 2020 |
| Dynamic mode-switchable optical vortex beams using acousto-optic mode converter J Lu, L Meng, F Shi, X Liu, Z Luo, P Yan, L Huang, F Pang, T Wang, ... Optics letters 43 (23), 5841-5844, 2018 | 55 | 2018 |
| Functional fibers and functional fiber-based components for high-power lasers X Chen, T Yao, L Huang, Y An, H Wu, Z Pan, P Zhou Advanced Fiber Materials 5 (1), 59-106, 2023 | 51 | 2023 |
| 1.01 kW superfluorescent source in all-fiberized MOPA configuration J Xu, L Huang, J Leng, H Xiao, S Guo, P Zhou, J Chen Optics Express 23 (5), 5485-5490, 2015 | 49 | 2015 |
| 5 kW monolithic fiber amplifier employing homemade spindle-shaped ytterbium-doped fiber L Zeng, Z Pan, X Xi, H Yang, Y Ye, L Huang, H Zhang, X Wang, Z Wang, ... Optics Letters 46 (6), 1393-1396, 2021 | 48 | 2021 |
| Adaptive mode control of a few-mode fiber by real-time mode decomposition L Huang, J Leng, P Zhou, S Guo, H Lü, X Cheng Optics express 23 (21), 28082-28090, 2015 | 48 | 2015 |
| Numerical mode decomposition for multimode fiber: From multi-variable optimization to deep learning Y An, J Li, L Huang, L Li, J Leng, L Yang, P Zhou Optical Fiber Technology 52, 101960, 2019 | 43 | 2019 |
| Experimental investigation on evolution of the beam quality in a 2-kW high power fiber amplifier L Huang, W Wang, J Leng, S Guo, X Xu IEEE Photonics Technology Letters 26 (1), 33-36, 2013 | 37 | 2013 |
| High-power tandem-pumped fiber amplifier with beam quality maintenance enabled by the confined-doped fiber H Wu, R Li, H Xiao, L Huang, H Yang, Z Pan, J Leng, P Zhou Optics Express 29 (20), 31337-31347, 2021 | 36 | 2021 |
| Modal analysis of fiber laser beam by using stochastic parallel gradient descent algorithm L Huang, H Lü, P Zhou, J Leng, S Guo IEEE Photonics Technology Letters 27 (21), 2280-2283, 2015 | 36 | 2015 |
| Cladding-pumped Raman fiber laser with 0.78% quantum defect enabled by phosphorus-doped fiber X Ma, J Xu, J Ye, Y Zhang, L Huang, T Yao, J Leng, Z Pan, P Zhou High Power Laser Science and Engineering 10, e8, 2022 | 34 | 2022 |
| Deep learning enabled superfast and accurate M2 evaluation for fiber beams Y An, J Li, L Huang, J Leng, L Yang, P Zhou Optics Express 27 (13), 18683-18694, 2019 | 34 | 2019 |
| Impact of high-order-mode loss on high-power fiber amplifiers L Huang, L Kong, J Leng, P Zhou, S Guo, X Cheng Journal of the Optical Society of America B 33 (6), 1030-1037, 2016 | 30 | 2016 |
| Mode instability dynamics in high-power low-numerical-aperture step-index fiber amplifier L Huang, T Yao, J Leng, S Guo, R Tao, P Zhou, X Cheng Applied optics 56 (19), 5412-5417, 2017 | 29 | 2017 |