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
方 偉騏
教授
電子研究所
電話
03-5754257
電子郵件
wfang
nycu.edu
tw
網站
http://www.ee.nctu.edu.tw/People/Professor/individual.php?index=7
h-index
h10-index
h5-index
1299
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。
371
引文
10
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。
171
引文
7
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。
1987 …
2023
每年研究成果
概覽
指紋
網路
計畫
(25)
研究成果
(270)
獎項
(2)
類似的個人檔案
(6)
如果您對這些純文本內容做了任何改變，很快就會看到。
指紋
查看啟用 Winston Wai-Chi Fang 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
Engineering & Materials Science
Electroencephalography
100%
Electrocardiography
61%
Independent component analysis
58%
System-on-chip
58%
Optical tomography
54%
Monitoring
36%
Computer hardware
36%
Signal processing
30%
Field programmable gate arrays (FPGA)
28%
Brain computer interface
26%
Data compression
25%
Neural networks
24%
Cellular neural networks
23%
Brain
21%
Electric power utilization
20%
Communication
20%
Image compression
20%
Sensors
20%
Pixels
20%
Decomposition
19%
Image reconstruction
18%
Systems analysis
18%
Vector quantization
18%
Bioelectric potentials
16%
Parallel processing systems
16%
Annealing
16%
Networks (circuits)
16%
Information technology
16%
Compressors
15%
Tumors
15%
Bluetooth
14%
Microsystems
13%
Infrared radiation
13%
Engines
12%
Sensor networks
12%
Singular value decomposition
12%
Convolutional neural networks
11%
Volcanoes
11%
Silicon
11%
Demonstrations
11%
Image processing
11%
Multichip modules
11%
Photoplethysmography
11%
Sleep
11%
Oxygen
10%
Imaging systems
10%
Neurons
10%
Synthetic aperture radar
10%
Cameras
10%
Display devices
9%
Physics & Astronomy
electrocardiography
16%
electroencephalography
16%
emotions
16%
central processing units
12%
very large scale integration
11%
chips
11%
artifacts
10%
tumors
10%
preprocessing
9%
heart rate
8%
breast
8%
decomposition
7%
tomography
7%
space exploration
7%
hardware
6%
signal processing
6%
engines
6%
image reconstruction
6%
brain
5%
imagery
5%
sensors
5%
adaptive filters
5%
pixels
5%
communication
5%
Mathematics
Chip
20%
Electroencephalogram (EEG)
11%
Real-time
11%
Emotion Recognition
10%
Power Consumption
10%
Diffuse Optical Tomography
9%
Camera
8%
Design
8%
Electrocardiogram
7%
Metadata
7%
Biomedical Applications
7%
Cellular Neural Networks
6%
Silicon
6%
Watermarking
6%
Optoelectronics
6%
VLSI Design
6%
Hardware
6%
Annealing
5%
Optical Interconnects
5%
Machine Vision
5%
Data Compression
5%
Image Watermarking
5%
Instance-based Learning
5%
High Speed
5%
Automatic Target Recognition
5%
Image Compression
5%
Neural Networks
5%
