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20242026
most citedEnvironmental monitoring using orbital angular momentum mode decomposition enhanced machine learning

2 citations · 2 across the 2 of their papers we have counts for

collaborators

5 papers

physics.optics2026

Seeing full vectorial structures of light fields with a single-shot holographic multiplexed detector

Sitao Qin, Yize Liang, Shuai Cao +5

The vectorial structure of light, amplitude, phase, and polarization, encodes essential information for applications ranging from super-resolution microscopy to high-capacity commu…

physics.optics2026

Fractional optical skyrmions

Yuancong Cao, Ram Nandan Kumar, Hadrian Bezuidenhout +3

Optical topologies in the form of Skyrmions have attracted significant interest of late, where their integer Skyrmion number has been shown to be robust to complex media. Here we c…

physics.optics2025

Spatially-Resolved Atmospheric Turbulence Sensing with Two-Dimensional Orbital Angular Momentum Spectroscopy

Wenjie Jiang, Mingjian Cheng, Lixin Guo +1

Atmospheric turbulence characterization is crucial for technologies like free-space optical communications. Existing methods using a spatially-integrated one-dimensional (1D) orbit…

physics.optics2025

Machine learning assisted speckle and OAM spectrum analysis for enhanced turbulence characterisation

Wenjie Jiang, Mingjian Cheng, Lixin Guo +4

Atmospheric turbulence degrades the performance of free-space optical (FSO) communication and remote sensing systems by introducing phase and intensity distortions. While a majorit…

physics.optics20242 cited

Environmental monitoring using orbital angular momentum mode decomposition enhanced machine learning

Zhaozhong Chen, Ultan Daly, Aleksandr Boldin +3

Atmospheric interaction with light has been an area of fascination for many researchers over the last century. Environmental conditions, such as temperature and wind speed, heavily…