Bing Hu - Concepedia

Author

Bing Hu

University of California, Riverside ORCID

Also Known As

B. C. Hu, B. Hu, Bing Hu, Hu, Bing

Publications

1.7K

Citations

H-Index

Concepts

All Affiliations

University of California, Riverside Lanzhou University of Technology Samsung (United States)Gannan Normal University General Electric (United States)

About

Bing Hu is an author at University of California, Riverside specializing in engineering, data science, and predictive analytics.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	18	21	1.1K
2	Applied Physics	4	4	77
3	Management	2	2	86
4	Natural Sciences	2	2	41
5	Behavioral Sciences	1	1	23

Bing Hu

Publications

1.4K

Citations

H-Index

Page 1

	Year	Citations
Generalizing DTW to the multi-dimensional case requires an adaptive approach Mohammad Shokoohi-Yekta, Bing Hu, Hongxia Jin, Data Mining and Knowledge Discovery Mathematical ProgrammingEngineeringMachine LearningData ScienceMulti-dimensional Case	2016	311
Functional Porous Organic Polymers with Conjugated Triaryl Triazine as the Core for Superfast Adsorption Removal of Organic Dyes Yong Zhang, Xin Hong, Xiaomei Cao, ACS Applied Materials & Interfaces	2021	151
DTW-D Yanping Chen, Bing Hu, Eamonn Keogh, Natural Language ProcessingData ClassificationEngineeringMachine LearningData Science	2013	125
Time Series Classification under More Realistic Assumptions Bing Hu, Yanping Chen, Eamonn Keogh	2013	117
Discovery of Meaningful Rules in Time Series Mohammad Shokoohi-Yekta, Yanping Chen, Bilson Campana, EngineeringMachine LearningPattern DiscoveryPattern MiningText Mining	2015	82
Design and preparation of MoO 2 /MoS 2 as negative electrode materials for supercapacitors Tong Zhang, Ling‐Bin Kong, Mao‐Cheng Liu, Materials & Design Materials ScienceSupercapacitorsEngineeringBattery Electrode MaterialsHybrid Capacitor	2016	78
Design and preparation of highly structure-controllable mesoporous carbons at the molecular level and their application as electrode materials for supercapacitors Kun Yan, Ling‐Bin Kong, Yanhua Dai, Journal of Materials Chemistry A Materials ScienceElectrode MaterialsSupercapacitorsCarbonizationEngineering	2015	58
Discovering the Intrinsic Cardinality and Dimensionality of Time Series Using MDL Bing Hu, Thanawin Rakthanmanon, Yuan Hao, EngineeringMachine LearningPattern DiscoveryComplexity ReductionIntrinsic Cardinality	2011	57
Facile preparation of nitrogen-doped hierarchical porous carbon with high performance in supercapacitors Kun Yan, Ling‐Bin Kong, Kuiwen Shen, Applied Surface Science Materials ScienceSupercapacitorsEngineeringPorous CarbonFacile Preparation	2015	53
A general framework for never-ending learning from time series streams Yanping Chen, Yuan Hao, Thanawin Rakthanmanon, Data Mining and Knowledge Discovery EngineeringMachine LearningData ScienceData MiningConcept Drift	2014	51

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