Jing Wang - Concepedia

Author

Jing Wang

Southeast University ORCID

Also Known As

Jing Wang, WANG Jing, Wang Jing, Wang, Jing

Publications

875

Citations

H-Index

Concepts

All Affiliations

Southeast University Peng Cheng Laboratory Computer Network Information Center

About

Jing Wang is an author at Southeast University specializing in engineering, data science, and text mining.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	10	10	404
2	Language Studies	1	1	67
3	Management	1	1	46
4	Medicine	1	1	29
5	Biomedical Engineering	1	1	29

Jing Wang

Publications

728

Citations

H-Index

Page 1

	Year	Citations
Label Distribution Learning by Partitioning Label Distribution Manifold Jing Wang, Jianhui Lv, Xin Geng IEEE Transactions on Neural Networks and Learning Systems	2023	69
Text Features Extraction based on TF-IDF Associating Semantic Qing Liu, Jing Wang, Dehai Zhang, EngineeringWord VectorText Feature ExtractionText Features ExtractionSemantic Web	2018	67
Label Distribution Learning by Exploiting Label Distribution Manifold Jing Wang, Xin Geng IEEE Transactions on Neural Networks and Learning Systems EngineeringMachine LearningData ScienceData MiningPattern Recognition	2021	63
Theoretical Analysis of Label Distribution Learning Jing Wang, Xin Geng Proceedings of the AAAI Conference on Artificial Intelligence EngineeringMachine LearningLabel Distribution LearningText MiningClassification Method	2019	46
Interface integral BEM for solving multi-medium heat conduction problems Xiao‐Wei Gao, Jing Wang Engineering Analysis with Boundary Elements Numerical AnalysisMethod Of Fundamental SolutionElectrical EngineeringEngineeringNumerical Simulation	2008	42
Short-term electric load forecasting based on improved Extreme Learning Machine Mode Jie Yuan, Lihui Wang, Yajuan Qiu, Energy Reports Power Load ForecastingIntelligent ForecastingElectrical EngineeringShort-term Electric LoadEngineering	2021	39
Classification with Label Distribution Learning Jing Wang, Xin Geng EngineeringMachine LearningCorpus LinguisticsLabel Distribution LearningText Mining	2019	37
Optimization of tobacco drying process control based on reinforcement learning Suhuan Bi, Bin Zhang, Liangliang Mu, Drying Technology Artificial IntelligenceIntelligent SystemControl StrategyControl MethodEngineering	2020	37
Multi-label learning with missing and completely unobserved labels Jun Huang, Linchuan Xu, Kun Qian, Data Mining and Knowledge Discovery	2021	34
Driver distraction detection using semi-supervised lightweight vision transformer Adam A. Q. Mohammed, Xin Geng, Jing Wang, Engineering Applications of Artificial Intelligence Image AnalysisMachine VisionEngineeringDriver BehaviorPattern Recognition	2023	32

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