Shenda Hong - Concepedia

Author

Shenda Hong

Also Known As

Ambrose Chiang, Chao Zhang, Geng, Shijia, Hong, Shenda, Huang, Shun, Hui Wang, Jiang, Zhiqin, Shen-Da Hong, Shenda Hong, Shen‐Da Hong

221

Publications

4.2K

Citations

H-Index

Concepts

All Affiliations

Peking University Georgia Institute of Technology University of Science and Technology of China Peking University People's Hospital Chinese Academy of Medical Sciences & Peking Union Medical College

About

Shenda Hong is an author at Peking University specializing in engineering, machine learning, and data science.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	19	19	656
2	Public Health	3	3	167
3	Business	2	2	74
4	Medicine	2	2	52
5	Language Studies	1	1	20

Shenda Hong

Publications

1.7K

Citations

H-Index

Page 1

	Year	Citations
ENCASE: an ENsemble ClASsifiEr for ECG Classification Using Expert Features and Deep Neural Networks Shenda Hong, Yuxi Zhou, Qingyun Wang, Computing in cardiology	2017	165
Combining deep neural networks and engineered features for cardiac arrhythmia detection from ECG recordings Shenda Hong, Yuxi Zhou, Junyuan Shang, Physiological Measurement	2019	77
HOLMES: Health OnLine Model Ensemble Serving for Deep Learning Models in Intensive Care Units Shenda Hong, Yanbo Xu, Alind Khare, Artificial IntelligenceEngineeringMachine LearningMachine Learning ToolDeep Learning Models	2020	75
Pay Attention to Evolution: Time Series Forecasting With Deep Graph-Evolution Learning Gabriel Spadon, Shenda Hong, Bruno Brandoli Machado, IEEE Transactions on Pattern Analysis and Machine Intelligence	2021	75
MINA: Multilevel Knowledge-Guided Attention for Modeling Electrocardiography Signals Shenda Hong, Cao Xiao, Tengfei Ma, EngineeringMachine LearningMachine Learning ToolAttentionDeep Learning Models	2019	73
Development of Expert-Level Classification of Seizures and Rhythmic and Periodic Patterns During EEG Interpretation Jin Jing, Wendong Ge, Shenda Hong, Neurology	2023	62
Artificial intelligence for medicine: Progress, challenges, and perspectives Tao Huang, Huiyu Xu, Haitao Wang, The Innovation Medicine	2023	58
Predicting COVID-19 disease progression and patient outcomes based on temporal deep learning Chenxi Sun, Shenda Hong, Moxian Song, BMC Medical Informatics and Decision Making	2021	56
Artificial-Intelligence-Enhanced Mobile System for Cardiovascular Health Management Zhaoji Fu, Shenda Hong, Rui Zhang, Sensors	2021	56
Self-Supervised Time Series Representation Learning via Cross Reconstruction Transformer Wenrui Zhang, L. Yang, Shijia Geng, IEEE Transactions on Neural Networks and Learning Systems	2023	56

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