Nanophotonics

Papers
(The H4-Index of Nanophotonics is 22. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2021-05-01 to 2025-05-01.)
ArticleCitations
Optical filters made from random metasurfaces using Bayesian optimization104
Digital laser-induced printing of MoS291
Enhancing radiative heat transfer with meta-atomic displacement89
Compound meta-optics: there is plenty of room at the top79
On-chip optical spatial-domain integrator based on Fourier optics and metasurface73
Recent advances in nano-opto-electro-mechanical systems59
Visible transparency modulated cooling windows using pseudorandom dielectric multilayers42
Novel two-dimensional materials based bio-nanophotonics37
End-to-end design of metasurface-based complex-amplitude holograms by physics-driven deep neural networks34
Coherent control of symmetry breaking in transverse-field Ising chains using few-cycle pulses29
Frequency-comb-referenced multiwavelength interferometry for high-precision and high-speed 3D measurement in heterogeneous semiconductor packaging29
Recent advances in quantum nanophotonics: plexcitonic and vibro-polaritonic strong coupling and its biomedical and chemical applications28
Mid-infrared wavelength multiplexers on an InP platform28
Free-space-coupled wavelength-scale disk resonators28
Image analysis optimization for nanowire-based optical detection of molecules27
Multidimensional quantitative characterization of basal cell carcinoma by spectral- and time-resolved two-photon microscopy25
Tailoring optical response of MXene thin films25
XUV yield optimization of two-color high-order harmonic generation in gases25
Electrochemical photonics: a pathway towards electrovariable optical metamaterials25
The potential of SERS as an AST methodology in clinical settings24
Localized exciton emission from monolayer WS2 nanoribbon at cryogenic temperature24
Reliable, efficient, and scalable photonic inverse design empowered by physics-inspired deep learning22
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