Laishuan Wang - Concepedia

Author

Laishuan Wang

Children's Hospital of Fudan University ORCID

Also Known As

Lai-shuan Wang, Laishuan Wang, Wang, L.

Publications

575

Citations

H-Index

Concepts

All Affiliations

Children's Hospital of Fudan University Fudan University Eindhoven University of Technology Philips (China)Radboud University Nijmegen

About

Laishuan Wang is an author at Children's Hospital of Fudan University specializing in medicine, engineering, and pediatrics.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	4	4	120
2	Medicine	4	4	145
3	Social Sciences	3	3	152
4	Education	1	1	18
5	Data Science	1	1	51

Laishuan Wang

Publications

491

Citations

H-Index

Page 1

	Year	Citations
EEG-Based Neonatal Sleep-Wake Classification Using Multilayer Perceptron Neural Network Saadullah Farooq Abbasi, Jawad Ahmad, Ahsen Tahir, IEEE Access Deep Multilayer PerceptronSleepEeg RecordingsComputational NeuroscienceEeg Signal Processing	2020	65
Design of an Integrated Wearable Multi-Sensor Platform Based on Flexible Materials for Neonatal Monitoring Hongyu Chen, Wei Chen, Shenjie Bao, IEEE Access	2020	54
A Hybrid DCNN-SVM Model for Classifying Neonatal Sleep and Wake States Based on Facial Expressions in Video Muhammad Awais, Xi Long, Bin Yin, IEEE Journal of Biomedical and Health Informatics EngineeringMachine LearningBiometricsHybrid ModelWake States	2021	51
Combining Metagenomic Sequencing With Whole Exome Sequencing to Optimize Clinical Strategies in Neonates With a Suspected Central Nervous System Infection Mengmeng Ge, Mingyu Gan, Kai Yan, Frontiers in Cellular and Infection Microbiology	2021	43
MS-HNN: Multi-Scale Hierarchical Neural Network With Squeeze and Excitation Block for Neonatal Sleep Staging Using a Single-Channel EEG Hangyu Zhu, Laishuan Wang, Ning Shen, IEEE Transactions on Neural Systems and Rehabilitation Engineering NeonatologyNeural RecodingNeonatal Sleep StagingComputational ComplexityElectroencephalography	2023	36
A Case Series of 130 Neonates with Congenital Syphilis: Preterm Neonates Had More Clinical Evidences of Infection than Term Neonates Qinhua Zhou, Laishuan Wang, Chao Chen, Neonatology	2012	32
Novel Framework: Face Feature Selection Algorithm for Neonatal Facial and Related Attributes Recognition Muhammad Awais, Chen Chen, Xi Long, IEEE Access Face DetectionNovel FrameworkFacial Recognition SystemImage AnalysisFeature Detection	2020	30
Single-Channel EEG Data Analysis Using a Multi-Branch CNN for Neonatal Sleep Staging Hafza Ayesha Siddiqa, Zhenning Tang, Yan Xu, IEEE Access	2024	24
Clinical and Genetic Etiologies of Neonatal Unconjugated Hyperbilirubinemia in the China Neonatal Genomes Project Hongfang Mei, Xinran Dong, Bingbing Wu, The Journal of Pediatrics NeonatologyNeonatal Unconjugated HyperbilirubinemiaGeneticsInherited Metabolic DiseaseGenetic Epidemiology	2021	23
Can pre-trained convolutional neural networks be directly used as a feature extractor for video-based neonatal sleep and wake classification? Muhammad Awais, Xi Long, Bin Yin, BMC Research Notes	2020	22

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