Jun Ma - Concepedia

Author

Jun Ma

Hong Kong University of Science and Technology ORCID

Also Known As

J Ma, Jun Ma, MA Jun, Ma, Jun, ma jun

Publications

Citations

H-Index

Concepts

All Affiliations

Hong Kong University of Science and Technology University of Hong Kong City University of Hong Kong Shenzhen University

About

Jun Ma is an author at Hong Kong University of Science and Technology specializing in engineering, data science, and machine learning.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	13	13	1.7K
2	Social Sciences	6	6	1K
3	Business	1	1	94
4	Education	1	1	31
5	Civil Engineering	1	1	31

Jun Ma

Publications

1.9K

Citations

H-Index

Page 1

	Year	Citations
Deep learning-based PM2.5 prediction considering the spatiotemporal correlations: A case study of Beijing, China Unjin Pak, Jun Ma, Unsok Ryu, The Science of The Total Environment Spatiotemporal CorrelationsSpatiotemporal DiagnosticsMachine LearningData ScienceEngineering	2019	316
Improving air quality prediction accuracy at larger temporal resolutions using deep learning and transfer learning techniques Jun Ma, Jack C.P. Cheng, Changqing Lin, Atmospheric Environment Data AugmentationPollution DetectionEnvironmental MonitoringMachine LearningData Science	2019	259
A temporal-spatial interpolation and extrapolation method based on geographic Long Short-Term Memory neural network for PM2.5 Jun Ma, Yuexiong Ding, Jack C.P. Cheng, Journal of Cleaner Production Temporal-spatial InterpolationRecurrent Neural NetworkExtrapolation MethodForecasting	2019	198
Air quality prediction at new stations using spatially transferred bi-directional long short-term memory network Jun Ma, Zheng Li, Jack C.P. Cheng, The Science of The Total Environment MeteorologyPollution DetectionEnvironmental MonitoringEngineeringData Science	2019	179
Spatiotemporal Prediction of PM2.5 Concentrations at Different Time Granularities Using IDW-BLSTM Jun Ma, Yuexiong Ding, Vincent J.L. Gan, IEEE Access Convolutional Neural NetworkEnvironmental MonitoringMachine LearningEngineeringAir Quality	2019	155
Identification of high impact factors of air quality on a national scale using big data and machine learning techniques Jun Ma, Yuexiong Ding, Jack C.P. Cheng, Journal of Cleaner Production Pollution DetectionEnvironmental MonitoringEngineeringData ScienceData Mining	2019	155
A Lag-FLSTM deep learning network based on Bayesian Optimization for multi-sequential-variant PM2.5 prediction Jun Ma, Yuexiong Ding, Jack C.P. Cheng, Sustainable Cities and Society Artificial IntelligenceEngineeringMachine LearningData ScienceBayesian Optimization	2020	114
Soft detection of 5-day BOD with sparse matrix in city harbor water using deep learning techniques Jun Ma, Yuexiong Ding, Jack C.P. Cheng, Water Research EngineeringMachine LearningWater ResourcesSoft DetectionSparse Matrix	2019	99
Identification of the most influential areas for air pollution control using XGBoost and Grid Importance Rank Jun Ma, Jack C.P. Cheng, Zherui Xu, Journal of Cleaner Production Pollution DetectionEnvironmental MonitoringEngineeringData ScienceEnvironmental Impact Assessment	2020	94
Transfer learning for long-interval consecutive missing values imputation without external features in air pollution time series Jun Ma, Jack C.P. Cheng, Yuexiong Ding, Advanced Engineering Informatics EngineeringMachine LearningData ScienceExternal FeaturesPredictive Analytics	2020	79

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