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查看斯高帕斯 (Scopus) 概要
陳 永昇
教授
資訊科學與工程研究所
https://orcid.org/0000-0002-5581-850X
電話
03-5712121#31316
電子郵件
yschen
cs.nycu.edu
tw
網站
http://www.cs.nctu.edu.tw/~yschen
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3229
引文
23
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。
2050
引文
11
h-指數
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259
引文
7
h-指數
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1996 …
2025
每年研究成果
概覽
指紋
網路
計畫
(24)
研究成果
(113)
獎項
(6)
類似的個人檔案
(6)
指紋
查看啟用 Yong-Sheng Chen 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
Magnetoencephalography
100%
Brain Activity
76%
Beamformer
57%
Bipolar Disorder
40%
Menstrual Pain
39%
Brain Regions
39%
Primary Dysmenorrhea
37%
Object Detection
35%
3D Face Reconstruction
35%
Occlusion
34%
Electroencephalography
32%
Inpainting
32%
Fast Algorithm
32%
Multiple Cameras
26%
Magnetic Resonance Imaging
26%
Depth Estimation
25%
Major Depressive Disorder
25%
Nearest Neighbor Search
24%
Video Object
24%
Temporal Imaging
24%
Acute Ischemic Stroke
24%
Face Image
23%
State-of-the-art Techniques
23%
Homography
22%
Fisheye Camera
21%
Posture Sequence
21%
Brain Magnetic Resonance Imaging
21%
Functional Magnetic Resonance Imaging
21%
Monocular 3D
20%
Visual Stimuli
20%
Surrounding Monitoring
20%
Bird's Eye View
20%
Human Brain
20%
Radial Basis Function
18%
Neural Representation
18%
Feature Pyramid Network
18%
Emotional Processing
18%
Unipolar Disorder
17%
Data Augmentation
17%
International Cooperative Ataxia Rating Scale (ICARS)
17%
Block Matching
17%
Deep Learning Methods
17%
Camera Calibration
16%
Temporal Correlation
16%
Non-contrast Computed Tomography
16%
Stereo Matching Network
16%
Alberta Stroke Programme Early CT Score (ASPECTS)
16%
Ego-motion Estimation
16%
Zoom Lens
16%
Emotional Faces
16%
Computer Science
Brain Activity
51%
Experimental Result
49%
Depth Estimation
47%
Stereo Matching
36%
Deep Learning Method
36%
Multiple Camera
32%
Object Detection
29%
Information Retrieval
28%
Convolutional Neural Network
27%
block matching
27%
Neighbour Search
24%
Fast Algorithm
24%
Supervised Learning
22%
Point Cloud
20%
facial image
19%
Radial Basis Function
18%
Reference Signal
18%
Visual Stimuli
16%
Monitoring System
16%
Matching Network
16%
Data Augmentation
16%
Tracking System
16%
Motion Estimation
16%
Graphical Model
16%
Principal Components
16%
Source Component
16%
Display Devices
16%
Embedded System
16%
Unsupervised Anomaly Detection
16%
Speed-up
14%
Classification Accuracy
13%
Spatial Information
13%
Recognition System
12%
Tracking Process
12%
Tracking Technique
12%
Face Detection
12%
Context Information
12%
Optical Flow Field
12%
Validation Dataset
12%
Image Stitching
12%
Perspective View
12%
Vision Systems
12%
Motion Parameter
12%
Spatial Relationship
12%
Lighting Condition
12%
Camera Calibration
12%
Update Algorithm
12%
Learning Framework
11%
Monitored Area
10%
Component Analysis
10%
