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查看斯高帕斯 (Scopus) 概要
黃 仁暐
教授
電機工程學系
FinTech商創研究中心
智慧資訊安全碩士學位學程
https://orcid.org/0000-0001-5482-8311
電話
886 6 2757575 ext 62347
電子郵件
jwhuang
mail.ncku.edu
tw
網站
https://kid.ee.ncku.edu.tw/~jwhuang/About.php
h-index
1066
引文
16
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。
2004
2025
每年研究成果
概覽
指紋
網路
專案
(9)
研究成果
(86)
類似的個人檔案
(6)
監製作品
(24)
指紋
查看啟用 Jen-Wei Huang 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
Computer Science
Social Network
100%
Experimental Result
61%
Pattern Mining
57%
Sequential Pattern
52%
Sequential Pattern Mining
41%
Execution Time
36%
User Preference
35%
translation model
35%
Image Retrieval
35%
Information Pertaining
35%
Local Structure
29%
Data Mining
26%
Data Stream
26%
Attention (Machine Learning)
26%
Multiple Stream
23%
Community Detection
20%
Sliding Window
19%
Inference Task
17%
Information Loss
17%
Identification Algorithm
17%
Association End
17%
Processing Task
17%
Phishing Attack
17%
Store Information
17%
Phase Algorithm
17%
Speech Synthesis
17%
Natural Language Processing
17%
Global Positioning System
17%
Execution Efficiency
17%
Concept Drift Detection
17%
Deterministic Network
17%
Local Community
17%
Hill Climbing
17%
Business Object
17%
Schema Mapping
17%
Knowledge Distillation
17%
Temporal Database
17%
Solution Quality
17%
Performance Evaluation
17%
Multimedia Object
17%
Temporal Data
17%
Semantic Concept
17%
Multistate Model
17%
Value at Risk
17%
Deep Learning Model
17%
Scale-Invariant Feature Transform
17%
Heterogeneous Graph
17%
Recommender System
17%
Mean Absolute Error
17%
Image Search
17%
Keyphrases
Image Retrieval
52%
Social Networks
41%
Spatiotemporal Variation
35%
Excellent Performance
35%
Influence Maximization
35%
Mobile Phone Application
35%
Response Time
35%
Labelled Image
35%
Land Use Regression
35%
Mobile Application
35%
Mobile Phone
35%
Image Information
35%
Information Collection
35%
Image Retrieval System
35%
Systems-based
35%
Transformer Encodings
35%
Sequential Pattern Mining
24%
Taiwan
23%
Synthetic Data
23%
Static Networks
20%
Progressive Mining
20%
Frequent Sequential Pattern
19%
Changement
17%
Malware Attacks
17%
Twitter Data
17%
Real-time Intelligence
17%
Phishing Attack
17%
Event Capture
17%
Duration Pattern
17%
Twain
17%
Interval-based Events
17%
Building Identification
17%
Efficient Buildings
17%
Advertisement Recommendation
17%
Collaborative Deep Learning
17%
Air Quality Prediction
17%
Quality Prediction Model
17%
Machine Learning Algorithms
17%
Recommendation List
17%
Unknown but Interesting
17%
Personal Social Networks
17%
Dense Datasets
17%
Imbalanced Classification
17%
Email Security
17%
Leading Enterprises
17%
Promoter Region
17%
Multi-round
17%
Concept Drift Detection
17%
Deterministic Network
17%
Party Influence
17%
Engineering
Maximization
70%
Nodes
64%
Land Use
52%
Experimental Result
48%
Mobile Phone
35%
Execution Time
27%
Mean Absolute Error
26%
Air Quality
23%
Learning System
20%
Duration Time
20%
State-of-the-Art Method
19%
Metal Price
17%
Efficient Building
17%
Great Deal
17%
Redirection
17%
Life Application
17%
Market Share
17%
Potential Loss
17%
Level Image
17%
Global Market
17%
Discriminator
17%
Subsequence
17%
Data Stream
17%
State Transition
17%
Good Performance
17%
Big Data
17%
Electric Network Analysis
17%
Dimensional Space
17%
Conventional System
17%
Computational Resource
17%
Atmospheric Aerosol
17%
Object Recognition
17%
Real Data
17%
Support Vector Machine
17%
Mean Opinion Score
17%
Response Time
17%
Image Information
17%
Retrieval System
17%
Denoising Autoencoders
17%
Electric Power Utilization
17%
Real Life
17%
Risk Prediction
17%
Variational Mode Decomposition
17%
Pattern Detection
17%
Temporal Variation
17%
Outlier Detection
17%
Machine Learning Algorithm
17%
Similarity
13%
Deep Neural Network
11%
System Cost
8%
