跳至主導覽
跳至搜尋
跳過主要內容
國立成功大學 首頁
English
中文
首頁
概要
研究單位
研究成果
專案
學生論文
設備
獎項
活動
按專業知識、姓名或所屬機構搜尋
查看斯高帕斯 (Scopus) 概要
蔣 榮先
教授
資訊工程學系
醫學資訊研究所
電話
886 6 2757575 ext 62534
電子郵件
jchiang
mail.ncku.edu
tw
網站
http://iir.csie.ncku.edu.tw/
h-index
3165
引文
31
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 …
2024
每年研究成果
概覽
指紋
網路
專案
(40)
研究成果
(143)
類似的個人檔案
(6)
監製作品
(29)
指紋
查看啟用 Jung-Hsien Chiang 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
Agglomeration
11%
Amino acids
10%
Availability
13%
Binary images
9%
Bioinformatics
10%
Cells
10%
Character recognition
20%
Classifiers
17%
Clustering algorithms
20%
Decision making
15%
Decision theory
15%
Deep learning
14%
Experiments
19%
Feature extraction
17%
Fuzzy clustering
26%
Fuzzy inference
12%
Fuzzy set theory
16%
Fuzzy sets
10%
Gene expression
17%
Genes
100%
Genomics
10%
Health
16%
Learning algorithms
12%
Machine learning
13%
Mean field theory
11%
Microarrays
12%
Multilayer neural networks
12%
Neural networks
34%
Ontology
33%
Pattern recognition
12%
Phosphatases
12%
Phosphorylation
11%
Postal services
11%
Proteins
54%
Psychiatry
10%
Recommender systems
49%
Self organizing maps
19%
Semantics
12%
Smartphones
20%
Stem cells
10%
Support vector machines
43%
Support vector regression
10%
Systems Biology
9%
Telephone
10%
Text mining
29%
Throughput
9%
Tumor Biomarkers
12%
Visualization
12%
Yeast
26%
Mathematics
Cancer
30%
Categorization
11%
Cell
13%
Choquet Integral
23%
Clustering
15%
Context-aware
13%
Decision Analysis
13%
Experiment
11%
Feature Extraction
10%
Framework
19%
Fuzzy Integral
39%
Fuzzy Model
21%
Fuzzy Regression
16%
Fuzzy Set Theory
14%
Gene
50%
Hierarchical Networks
17%
High Throughput
16%
Human
14%
Learning
23%
Machine Learning
15%
Mining
19%
Model
18%
Neural Networks
15%
Performance
11%
Predict
12%
Prediction
20%
Protein
43%
Protein-protein Interaction
13%
Recurrent Neural Networks
11%
Search Engine
11%
Sequential Patterns
13%
Summarization
10%
Support Vector
37%
Support Vector Regression
14%
Text
18%
Text Mining
22%
User Preferences
11%
Visualization
12%
Yeast
30%
Medicine & Life Sciences
Artificial Intelligence
9%
Chromatin
19%
Chromatin Immunoprecipitation
9%
Colorectal Neoplasms
12%
Computer Neural Networks
25%
Crowdsourcing
11%
Data Mining
33%
Databases
11%
Datasets
33%
Deep Learning
25%
Depression
9%
Drug Repositioning
10%
Ecological Momentary Assessment
10%
Epigenomics
17%
Gene Expression
21%
Gene Expression Profiling
10%
Gene Ontology
27%
Genes
40%
Genetic Association Studies
17%
Genome
18%
High-Throughput Nucleotide Sequencing
14%
Histone Chaperones
22%
Histones
15%
Information Systems
10%
Isolation Hospitals
12%
Knowledge Discovery
11%
Machine Learning
37%
Mutation
9%
Neoplasm Genes
10%
Neoplasms
21%
Nuclear Pore
19%
Nuclear Pore Complex Proteins
13%
Nucleosomes
20%
Platelet-Derived Growth Factor alpha Receptor
10%
Precision Medicine
10%
Proteins
17%
SARS Virus
10%
Smartphone
17%
Support Vector Machine
11%
Technology
10%
tributyl phosphate
11%
Yeasts
10%
