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Bin Ren
Researcher at Xiamen University
Publications - 528
Citations - 30728
Bin Ren is an academic researcher from Xiamen University. The author has contributed to research in topics: Raman spectroscopy & Surface-enhanced Raman spectroscopy. The author has an hindex of 73, co-authored 470 publications receiving 23452 citations. Previous affiliations of Bin Ren include Pacific Northwest National Laboratory & Max Planck Society.
Papers
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Journal ArticleDOI
Facile preparation of N-doped porous carbon matrix with Mo2C / Ni supported for hydrogen evolution
Yuelong Xu,Jingyue Wang,Jingyue Wang,Zhan Liu,Zuozhao Zhai,Bin Ren,Xiaoxi Dong,Xiaoxi Dong,Junfeng Miao,Junfeng Miao,Lihui Zhang,Zhenfa Liu,Zhenfa Liu +12 more
TL;DR: In this article, molybdenum carbide and metallic nickel supported on a N-doped porous carbon matrix are prepared as an electrocatalyst through a one-step hydrothermal method with the addition of melamine, polyvinylpyrrolidone (PVP), pectin, ammoniummolybdate and nickel nitrate, and the catalysts exhibit excellent catalytic performance for electrochemical hydrogen evolution.
Journal ArticleDOI
Trajectory-Tracking-Based Adaptive Neural Network Sliding Mode Controller for Robot Manipulators
Bin Ren,Yao Wang,Jiayu Chen +2 more
TL;DR: An adaptive neural network sliding mode controller based on the super-twisting algorithm that can minimize the tracking error but also improve the system robustness with a simpler structure is proposed.
Proceedings ArticleDOI
Parallelizing pruned landmark labeling: dealing with dependencies in graph algorithms
TL;DR: This paper demonstrates the first scalable parallel implementation of the PPL algorithm that produces the same results as the sequential algorithm, resulting in the Vertex-Centrix PLL (VC-PLL) algorithm, which can efficiently execute on graphs with more than a billion edges.
Journal ArticleDOI
Automated weak signal extraction of hyperspectral Raman imaging data by adaptive low‐rank matrix approximation
Journal ArticleDOI
The Relationship Between Extraordinary Optical Transmission and Surface-Enhanced Raman Scattering in Subwavelength Metallic Nanohole Arrays
TL;DR: Controllable and predictable surface-enhanced Raman scattering can be produced by using this novel nanostructure, and the structure can be optimized to get the maximum surface- enhancer scattering signal at a certain excitation wavelength through numerical simulations.