Bin Ren (任斌)

About Bin Ren (任斌)

Bin Ren (任斌), With an exceptional h-index of 91 and a recent h-index of 62 (since 2020), a distinguished researcher at Xiamen University, specializes in the field of Tip-enhanced Raman Spectroscopy, Surface-enhanced Raman Spectroscopy, Electrochemistry, High Spatial &Temporal Resolution Imagin.

His recent articles reflect a diverse array of research interests and contributions to the field:

Deep Learning-Assisted Spectrum–Structure Correlation: State-of-the-Art and Perspectives

Visualizing the structural evolution of individual active sites in MoS2 during electrocatalytic hydrogen evolution reaction

Self-Reconstruction of Core–Shell Structured Electrocatalysts for Tailoring Reaction Pathways Revealed by Electrochemical Surface-Enhanced Raman Spectroscopy

Rapid Sample Pretreatment Facilitating SERS Detection of Trace Weak Organic Acids/Bases in Simple Matrices

Optical responses of metallic plasmonic arrays under the localized excitation

Revealing the Denoising Principle of Zero-Shot N2N-Based Algorithm from 1D Spectrum to 2D Image

Patch-Based Convolutional Encoder: A Deep Learning Algorithm for Spectral Classification Balancing the Local and Global Information

Noise learning of instruments for high-contrast, high-resolution and fast hyperspectral microscopy and nanoscopy

Bin Ren (任斌) Information

University

Position

Professor of Chemistry (厦门大学)

Citations(all)

38129

Citations(since 2020)

18801

Cited By

27829

hIndex(all)

91

hIndex(since 2020)

62

i10Index(all)

304

i10Index(since 2020)

217

Email

University Profile Page

Google Scholar

Bin Ren (任斌) Skills & Research Interests

Tip-enhanced Raman Spectroscopy

Surface-enhanced Raman Spectroscopy

Electrochemistry

High Spatial &Temporal Resolution Imagin

Top articles of Bin Ren (任斌)

Deep Learning-Assisted Spectrum–Structure Correlation: State-of-the-Art and Perspectives

2024/4/25

Visualizing the structural evolution of individual active sites in MoS2 during electrocatalytic hydrogen evolution reaction

Nature Catalysis

2024/4/15

Self-Reconstruction of Core–Shell Structured Electrocatalysts for Tailoring Reaction Pathways Revealed by Electrochemical Surface-Enhanced Raman Spectroscopy

ACS Catalysis

2024/4/9

Rapid Sample Pretreatment Facilitating SERS Detection of Trace Weak Organic Acids/Bases in Simple Matrices

Analytical Chemistry

2024/4/5

Optical responses of metallic plasmonic arrays under the localized excitation

Nano Research

2024/3

Revealing the Denoising Principle of Zero-Shot N2N-Based Algorithm from 1D Spectrum to 2D Image

Analytical Chemistry

2024/2/27

Patch-Based Convolutional Encoder: A Deep Learning Algorithm for Spectral Classification Balancing the Local and Global Information

Analytical Chemistry

2024/2/7

Noise learning of instruments for high-contrast, high-resolution and fast hyperspectral microscopy and nanoscopy

Nature Communications

2024/1/25

Electrochemical surface-enhanced Raman spectroscopy

The Journal of Physical Chemistry C

2022/6/2

Rapid Detection of SARS-CoV-2 in Clinical and Environmental Samples via a Resonant Cavity SERS Platform within 20 min

ACS Applied Materials & Interfaces

2023/10/25

Electrochemical Tip-Enhanced Raman Spectroscopy for in-situ Study of Electrochemical Systems at Nanoscale

2020

Seeing Is Not Necessarily Believing: Is the Surface-Enhanced Raman Spectroscopy Signal Really from the Target?

Analytical Chemistry

2023/8/23

Probing the Intermediate in the Electrochemical Reduction of Nitrobenzene Derivative by EC-TERS

The Journal of Physical Chemistry C

2023/6/27

1D Gradient-Weighted Class Activation Mapping, Visualizing Decision Process of Convolutional Neural Network-Based Models in Spectroscopy Analysis

Analytical Chemistry

2023/6/23

Plastic spectral interference in the biological characterization by Raman or SERS spectroscopy

Journal of Raman Spectroscopy

2023/6

Live tracking metabolic networks and physiological responses within microbial assemblages at single-cell level

PNAS nexus

2023/3/1

Simple cleaning and regeneration of tip‐enhanced Raman spectroscopy probe with UV sources

Journal of Raman Spectroscopy

2022/12

Deep learning-enabled Raman spectroscopic identification of pathogen-derived extracellular vesicles and the biogenesis process

Analytical Chemistry

2022/8/27

Visualization of a machine learning framework toward highly sensitive qualitative analysis by SERS

Analytical Chemistry

2022/7/6

See List of Professors in Bin Ren (任斌) University(Xiamen University)