Xiaomin Yang

Target material dependence of positron generation from high intensity laser-matter interactions

Quasimonoenergetic Electron Beams with Relativistic Energies and Ultrashort Duration from Laser-Solid Interactions at 0.5 kHz

Multimodal biomedical AI

Measurements of energy and angular distribution of hot electrons and protons emitted from a p- and s-polarized intense femtosecond laser pulse driven thin foil target

Investigation of laser pulse length and pre-plasma scale length impact on hot electron generation on OMEGA-EP

High performance compact magnetic spectrometers for energetic ion and electron measurement in ultraintense short pulse laser solid interactions

A comprehensive survey on multimodal medical signals fusion for smart healthcare systems

Infrared and visible image fusion methods and applications: A survey

Mapping the Knowledge Domain of Smart-City Research: A Bibliometric and Scientometric Analysis

Pixel-level image fusion: A survey of the state of the art

Sustainable Management of Digital Transformation in Higher Education: Global Research Trends

Impact of pre-plasma on fast electron generation and transport from short pulse, high intensity lasers

English speech recognition based on deep learning with multiple features

Angular emission and polarization dependence of harmonics from laser–solid interactions

Study of hard x-ray emission from intense femtosecond Ti:sapphire laser–solid target interactions

Multi-focus image fusion based on robust principal component analysis and pulse-coupled neural network

Medical image super-resolution for remote medical diagnosis in smart city: A case study based on the new healthcare reform of China

Experimental study for angular distribution of the hot electrons generated by femtosecond laser interaction with solid targets

A novel medical image fusion method based on Rolling Guidance Filtering

Infrared and visible image fusion with the use of multi-scale edge-preserving decomposition and guided image filter

A multifocus image fusion method by using hidden Markov model

Combining Unmanned Aerial Vehicles With Artificial-Intelligence Technology for Traffic-Congestion Recognition: Electronic Eyes in the Skies to Spot Clogged Roads