Qi Huang scite author profile

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Qi Huang

4Publications

27Citation Statements Received

15Citation Statements Given

How they've been cited

How they cite others

200

Affiliations

Chongqing University, University of Electronic Science and Technology of China, Chengdu University of Technology

Publications

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An F-Test Based Approach for Spectrum Sensing in Cognitive Radio

Huang

Chung

2013

IEEE Trans. Wireless Commun.

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Prediction of breakthrough curves in a fixed-bed column based on normalized Gudermannian and error functions

Huang

Yang

et al. 2021

Journal of Molecular Liquids

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Genetic diversity and relationships in cultivars of Lolium multiflorum Lam. using sequence-related amplified polymorphism markers

Huang¹,

Jiang²,

Huang³

et al. 2014

Genet. Mol. Res.

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ABSTRACT. Sequence-related amplified polymorphism (SRAP)markers were used to analyze and estimate the genetic variability, level of diversity, and relationships among 20 cultivars and strains of annual ryegrass (Lolium multiflorum Lam.). Eighteen SRAP primer combinations generated 334 amplification bands, of which 298 were polymorphic. The polymorphism information content ranged from 0.4715 (me10 + em1) to 0.5000 (me5 + em7), with an average of 0.4921. The genetic similarity coefficient ranged from 0.4304 to 0.8529, and coefficients between 0.65 and 0.90 accounted for 90.00%. The cluster

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Bibliographical progress in hybrid renewable energy systems’ integration, modelling, optimization, and artificial intelligence applications: A critical review and future research perspective

Wei

Bamisile

Adun

et al. 2023

Energy Sources, Part A: Recovery, Utilization, and Environmenta

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Qi Huang

An F-Test Based Approach for Spectrum Sensing in Cognitive Radio

Prediction of breakthrough curves in a fixed-bed column based on normalized Gudermannian and error functions

Genetic diversity and relationships in cultivars of Lolium multiflorum Lam. using sequence-related amplified polymorphism markers

Bibliographical progress in hybrid renewable energy systems’ integration, modelling, optimization, and artificial intelligence applications: A critical review and future research perspective

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