Xiaobo Liu - Concepedia

Author

Xiaobo Liu

China University of Geosciences ORCID

Also Known As

Honghao Gao, Jun Yang, Liu Xiaobo, Liu, Xiaobo, Xiao-Bo Liu, Xiao-bo LIU, Xiao-bo Liu, Xiaobo Liu, Yingxuan Huang

Publications

Citations

H-Index

Concepts

All Affiliations

China University of Geosciences Universidad de Extremadura Helmholtz Institute Freiberg for Resource Technology Helmholtz-Zentrum Dresden-Rossendorf Beibu Gulf University

About

Xiaobo Liu is an author at China University of Geosciences specializing in engineering, data science, and pattern recognition.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	20	23	963
2	Medicine	2	2	402
3	Health Sciences	1	1	137
4	Management	1	1	110
5	Public Health	1	1	61

Xiaobo Liu

Publications

1.9K

Citations

H-Index

Page 1

	Year	Citations
Differences in quantal amplitude reflect GluR4- subunit number at corticothalamic synapses on two populations of thalamic neurons Peyman Golshani, Xiaobo Liu, Edward G. Jones Proceedings of the National Academy of Sciences Quantal AmplitudeSynaptic TransmissionNeurotransmitterNeuromodulation TherapiesNeurotransmission	2001	265
BS-Nets: An End-to-End Framework for Band Selection of Hyperspectral Image Yaoming Cai, Xiaobo Liu, Zhihua Cai IEEE Transactions on Geoscience and Remote Sensing	2019	254
Machine learning-enabled non-destructive paper chromogenic array detection of multiplexed viable pathogens on food Manyun Yang, Xiaobo Liu, Yaguang Luo, Nature Food Multiplexed Viable PathogensPathogen DetectionFoodborne PathogensBioanalysisFood Control	2021	137
Ensemble Transfer Learning Algorithm Xiaobo Liu, Zhentao Liu, Guangjun Wang, IEEE Access EngineeringMachine LearningText MiningNatural Language ProcessingEnsemble Transfer	2017	110
Spectral–Spatial and Superpixelwise PCA for Unsupervised Feature Extraction of Hyperspectral Imagery Xin Zhang, Xinwei Jiang, Junjun Jiang, IEEE Transactions on Geoscience and Remote Sensing	2021	90
Graph Regularized Residual Subspace Clustering Network for hyperspectral image clustering Yaoming Cai, Meng Zeng, Zhihua Cai, Information Sciences Graph SparsityImage AnalysisGraph TheoryEngineeringManifold Learning	2021	74
Unsupervised Hyperspectral Image Band Selection Based on Deep Subspace Clustering Meng Zeng, Yaoming Cai, Zhihua Cai, IEEE Geoscience and Remote Sensing Letters Image ClassificationImage AnalysisMachine LearningData ScienceSpatial Information	2019	63
Efficient Graph Convolutional Self-Representation for Band Selection of Hyperspectral Image Yaoming Cai, Zijia Zhang, Xiaobo Liu, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing EngineeringMachine LearningBand SelectionMultispectral ImagingGraph Signal Processing	2020	63
Deep Multigrained Cascade Forest for Hyperspectral Image Classification Xiaobo Liu, Ruilin Wang, Zhihua Cai, IEEE Transactions on Geoscience and Remote Sensing Convolutional Neural NetworkEngineeringMachine LearningMultispectral ImagingImage Classification	2019	62
Band Selection of Hyperspectral Images Using Multiobjective Optimization-Based Sparse Self-Representation Peng Hu, Xiaobo Liu, Yaoming Cai, IEEE Geoscience and Remote Sensing Letters EngineeringMachine LearningBand SelectionMultispectral ImagingFeature Selection	2018	61

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