跳至主導覽
跳至搜尋
跳過主要內容
國立臺灣師範大學 首頁
專家資料申請/更新
English
中文
首頁
個人檔案
研究單位
研究成果
研究計畫
新聞/媒體
資料集
學術活動
得獎記錄
學生論文
按專業知識、姓名或所屬機構搜尋
查看斯高帕斯 (Scopus) 概要
侯 文娟
助理教授
資訊工程學系
電話
(02)7749-6686
電子郵件
emilyhou
csie.ntnu.edu
tw
h-index
h10-index
h5-index
97
引文
6
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。
23
引文
3
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。
10
引文
2
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。
1992 …
2019
每年研究成果
概覽
指紋
網路
研究成果
(22)
新聞/媒體
(1)
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 Wen-Juan Hou 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
Mathematics
Gene Regulation
100%
Text
87%
Learning Systems
48%
Question Answering
45%
Taxonomy
41%
Syntax
41%
Support Vector Machine
39%
Neural Network Model
39%
Predicate
32%
Knowledge
32%
Semantics
32%
Learning
28%
Corpus
28%
Intelligent Tutoring Systems
28%
Query Expansion
23%
Concepts
22%
Text Mining
21%
Graphical Representation
20%
Collaboration
19%
Evaluation
19%
Distributed Systems
18%
WordNet
18%
Wikipedia
18%
Information Extraction
18%
Student Learning
17%
Decimal number
17%
Natural Language
17%
Term
17%
Relationships
16%
Tagging
16%
Performance
16%
Speech Recognition
16%
Messenger RNA
15%
Alzheimer's Disease
14%
Model
14%
Speech
13%
Gene Expression
13%
Experiment
12%
Global Analysis
12%
Grouping
12%
Regulator
11%
Baseline
11%
Training
11%
Protein
11%
Form
10%
Experimental Results
10%
Thing
10%
Normalization
10%
Statistical method
10%
Semantic Analysis
10%
Engineering & Materials Science
Genes
91%
Gene expression
69%
Text mining
66%
Students
58%
Syntactics
51%
Drug interactions
49%
Semantics
43%
Ontology
42%
Learning systems
40%
Experiments
38%
Proteins
36%
Information retrieval
33%
Genomics
33%
Classifiers
28%
Support vector machines
25%
Neural networks
24%
Deep learning
18%
Network layers
17%
Intelligent systems
16%
Computer systems
16%
Bulletin boards
15%
Labeling
15%
Special effects
15%
Macros
14%
Systems Biology
13%
Machine learning
11%
Messenger RNA
11%
Drug products
8%
Atoms
8%
Drug Development
7%
Speech recognition
7%
Statistical methods
6%
Transfer learning
5%
Medicine & Life Sciences
Gene Ontology
73%
Molecular Sequence Annotation
42%
Learning
39%
Genes
39%
Gravitation
36%
Deep Learning
32%
Drug Interactions
31%
Names
30%
Psychology Recognition
28%
Information Storage and Retrieval
27%
Machine Learning
26%
Datasets
25%
Pharmaceutical Preparations
13%
Data Mining
12%
Proteins
11%
Genetic Databases
10%
Vocabulary
9%
Databases
9%
Drug Industry
7%
Health
7%
MEDLINE
6%
Research Personnel
5%
