跳至主導覽
跳至搜尋
跳過主要內容
國立陽明交通大學研發優勢分析平台 首頁
English
中文
首頁
人員
單位
研究成果
計畫
獎項
活動
貴重儀器
影響
按專業知識、姓名或所屬機構搜尋
查看斯高帕斯 (Scopus) 概要
魏 群樹
助理教授
國立陽明交通大學
https://orcid.org/0000-0002-5259-2015
h-index
h10-index
h5-index
698
引文
15
h-指數
按照存儲在普爾(Pure)的出版物數量及斯高帕斯(Scopus)引文計算。
609
引文
12
h-指數
按照存儲在普爾(Pure)的出版物數量及斯高帕斯(Scopus)引文計算。
217
引文
9
h-指數
按照存儲在普爾(Pure)的出版物數量及斯高帕斯(Scopus)引文計算。
2010
2024
每年研究成果
概覽
指紋
網路
計畫
(3)
研究成果
(39)
類似的個人檔案
(6)
指紋
查看啟用 Chun-Shu Wei 的研究主題。這些主題標籤來自此人的作品。共同形成了獨特的指紋。
排序方式
重量
按字母排序
Keyphrases
Brain-computer Interface
100%
Electroencephalogram
74%
Steady-state Visual Evoked Potential (SSVEP)
62%
Electroencephalography
47%
Motion Sickness
46%
Convolutional Neural Network
22%
Potential-based
21%
Drowsiness Detection
19%
Canonical Correlation Analysis
18%
Transfer Learning
18%
EEG Spectrum
15%
Closed-loop
15%
Real-world Application
14%
Detection Method
14%
Evaluation System
13%
Multimodal Motion
13%
Moving Person
13%
Illness Detection
13%
Mitigation Methods
13%
Mental States Recognition
13%
Neural Network
12%
Real Environment
10%
Calibration Data
9%
Human Variability
9%
Systems-based
8%
Motor Imagery
8%
Electroencephalography Data
8%
Intra-subject Variability
8%
Brain Research
8%
EEG Data
8%
Least Squares
8%
Brain-computer Interface Systems
7%
EEG Activity
7%
Neurocognitive
7%
Computational Neuroscience
7%
Quality Assessment
7%
Automated Vehicles
7%
Bearing Area
7%
Cross-domain Data
7%
Existing Data
7%
Cognitive State
7%
MI-EEG
7%
Occipital Area
7%
New User
6%
User Authentication
6%
Spatial Component
6%
Robust Principal Component Analysis
6%
Component-wise
6%
Cross-subject Transfer Learning
6%
Genetic Feature Selection
6%
Computer Science
Computer Interface
91%
Transfer Learning
39%
Convolutional Neural Network
26%
Correlation Analysis
20%
Drowsiness Detection
19%
Experimental Result
16%
Evaluation System
16%
World Application
11%
Calibration Data
11%
Subject Variability
11%
Least Squares Method
9%
Brain Research
9%
Driving Simulator
8%
Operational Environment
7%
Virtual Reality
7%
Training Data
7%
Learning Framework
7%
Visual Stimuli
7%
Neural Network Model
7%
Related Component
7%
Component Analysis
7%
Monitoring System
6%
Support Vector Regression
6%
User Authentication
6%
Causal Factor
6%
Knowledge Distillation
6%
Large Scale Data
6%
Fuzzy-Neural System
6%
Processing Platform
6%
Immersive Virtual Reality
6%
Neural Network
6%
Cell Phone
6%
Principal Components
6%
Attention (Machine Learning)
6%
Quality Assessment
6%
Convolutional Network
6%
Feature Selection
6%
Response Time
6%
Feature Extraction
6%
Explainable Artificial Intelligence
6%
Prediction Phase
6%
Data Alignment
6%
Human Motions
5%
Learning Approach
5%
Engineering
Brain-Computer Interface
79%
Transfer Learning
39%
Closed Loop
19%
Subject Motion
16%
Experimental Result
15%
Power Spectra
13%
Related Task
13%
Real World Application
12%
Daily Life
11%
Least Square
9%
Virtual Reality
9%
Driving Simulator
9%
Tasks
8%
Motor Imagery
7%
Radial Basis Function
6%
Illustrates
6%
Human Motion
6%
Monitoring System
6%
Marine Safety
6%
Feature Extraction
6%
Motion Artifact
6%
Bearing Area
6%
Similarities
6%
Limitations
6%
Monitoring Technique
6%
Principal Components
6%
Deep Learning
6%
Fuzzy System
6%
Environmental Benefit
6%
Aircraft
6%
Quality Assessment
6%
Gain Variation
6%
Platform Motion
6%
Individual Subject
6%
Component Analysis
6%
Filtration
5%
Montager
5%
Learning Approach
5%