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Hengjin Ke

Observed name: HengJin Ke
ORCID: 0000-0003-3571-0005
Observed ORCID: 0000-0003-3571-0005
OpenAlex ID: A5076368718
Towards Brain Big Data Classification: Epileptic EEG Identification With a Lightweight VGGNet on Global MIC
2018 · Hengjin Ke, Dan Chen, et al. · IEEE Access · 96
A lightweight solution to epileptic seizure prediction based on EEG synchronization measurement
2020 · Shasha Zhang, Dan Chen, et al. · The Journal of Supercomputing · 95
Cloud‐aided online EEG classification system for brain healthcare: A case study of depression evaluation with a lightweight CNN
2018 · Hengjin Ke, Dan Chen, et al. · Software Practice and Experience · 88
Improving Brain E-Health Services via High-Performance EEG Classification With Grouping Bayesian Optimization
2019 · Hengjin Ke, Dan Chen, et al. · IEEE Transactions on Services Computing · 80
Deep Factor Learning for Accurate Brain Neuroimaging Data Analysis on Discrimination for Structural MRI and Functional MRI
2023 · Hengjin Ke, Dan Chen, et al. · IEEE Transactions on Computational Biology and Bioinformatics · 75
ADHD identification and its interpretation of functional connectivity using deep self-attention factorization
2022 · Hengjin Ke, Fengqin Wang, et al. · Knowledge-Based Systems · 69
Fusion of generative adversarial networks and non-negative tensor decomposition for depression fMRI data analysis
2024 · Fengqin Wang, Hengjin Ke, et al. · Information Processing & Management · 64
Deep Wavelet Temporal-Frequency Attention for nonlinear fMRI factorization in ASD
2025 · Fengqin Wang, Hengjin Ke, et al. · Pattern Recognition · 62
Unsupervised deep frequency-channel attention factorization to non-linear feature extraction: A case study of identification and functional connectivity interpretation of Parkinson’s disease
2023 · Hengjin Ke, Fengqin Wang, et al. · Expert Systems with Applications · 52
Deep Wavelet Self-Attention Non-negative Tensor Factorization for non-linear analysis and classification of fMRI data
2025 · Fengqin Wang, Hengjin Ke, et al. · Applied Soft Computing · 50
Subject sensitive EEG discrimination with fast reconstructable CNN driven by reinforcement learning: A case study of ASD evaluation
2021 · Heyou Dong, Dan Chen, et al. · Neurocomputing · 41
Interpretation of Frequency Channel-Based CNN on Depression Identification
2021 · Hengjin Ke, Cang Cai, et al. · Frontiers in Computational Neuroscience · 16
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A Shallow-Dense Network Approach to Synchronization Pattern Classification of Multivariate Epileptic EEG
2017 · Hengjin Ke, Siwei Chen, et al. · Lecture notes in electrical engineering · 4
Towards the Reverse Engineer of UML2.0 Sequence Diagram for Procedure Blueprint
2009 · FengQin Wang, HengJin Ke, et al. · World Congress on Software Engineering (WCSE) · 4
Interpretation of deep non-linear factorization for autism
2023 · Boran Chen, Bo Yin, et al. · Frontiers in Psychiatry · 3
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Global Epileptic Seizure Identification With Affinity Propagation Clustering Partition Mutual Information Using Cross-Layer Fully Connected Neural Network
2018 · Fengqin Wang, Hengjin Ke · Frontiers in Human Neuroscience · 3
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Editorial: Deep learning for high-dimensional sense, non-linear signal processing and intelligent diagnosis
2025 · Hengjin Ke, Cang Cai, et al. · Frontiers in Psychiatry · 1
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Inter-region Synchronization Analysis Based on Heterogeneous Matrix Similarity Measurement
2019 · Hengjin Ke, Dan Chen, et al. · Lecture notes in computer science · 1
Editorial: Deep learning for high-dimensional sense, non-linear signal processing and intelligent diagnosis, vol II
2026 · Hengjin Ke, Chang Cai, et al. · Frontiers in Psychiatry
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Works count: 19
Citation count: 804
H-index: 12
I10-index: 12
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