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查看斯高帕斯 (Scopus) 概要
蔣 榮先
教授
醫學資訊研究所
資訊工程學系
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
2658
引文
26
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 …
2022
每年研究成果
概覽
指紋
網路
專案
(41)
研究成果
(132)
類似的個人檔案
(6)
監製作品
(29)
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 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
Genes
100%
Proteins
54%
Recommender systems
49%
Support vector machines
43%
Neural networks
34%
Ontology
33%
Text mining
29%
Yeast
26%
Smartphones
20%
Character recognition
20%
Clustering algorithms
19%
Self organizing maps
19%
Experiments
18%
Fuzzy clustering
18%
Gene expression
17%
Classifiers
17%
Feature extraction
17%
Fuzzy set theory
16%
Health
16%
Decision theory
15%
Decision making
15%
Deep learning
14%
Machine learning
13%
Availability
13%
Microarrays
12%
Semantics
12%
Pattern recognition
12%
Multilayer neural networks
12%
Visualization
12%
Tumor Biomarkers
12%
Phosphatases
12%
Learning algorithms
12%
Fuzzy inference
12%
Mean field theory
11%
Phosphorylation
11%
Postal services
11%
Agglomeration
11%
Amino acids
10%
Genomics
10%
Bioinformatics
10%
Stem cells
10%
Support vector regression
10%
Fuzzy sets
10%
Psychiatry
10%
Telephone
10%
Cells
10%
Binary images
9%
Throughput
9%
Systems Biology
9%
Mathematics
Gene
50%
Protein
43%
Fuzzy Integral
39%
Support Vector
37%
Yeast
30%
Cancer
30%
Choquet Integral
23%
Learning
23%
Text Mining
22%
Fuzzy Model
21%
Prediction
20%
Mining
19%
Framework
19%
Text
18%
Model
18%
Hierarchical Networks
17%
Fuzzy Regression
16%
High Throughput
16%
Clustering
15%
Neural Networks
15%
Machine Learning
15%
Human
14%
Fuzzy Set Theory
14%
Support Vector Regression
14%
Context-aware
13%
Protein-protein Interaction
13%
Cell
13%
Decision Analysis
13%
Sequential Patterns
13%
Predict
12%
Visualization
12%
Experiment
11%
Categorization
11%
Search Engine
11%
Recurrent Neural Networks
11%
User Preferences
11%
Performance
11%
Summarization
10%
Feature Extraction
10%
Medicine & Life Sciences
Genes
40%
Data Mining
33%
Datasets
32%
Gene Ontology
27%
Computer Neural Networks
25%
Deep Learning
25%
Machine Learning
24%
Histone Chaperones
22%
Neoplasms
21%
Gene Expression
21%
Nucleosomes
20%
Nuclear Pore
19%
Chromatin
19%
Genome
18%
Smartphone
17%
Epigenomics
17%
Genetic Association Studies
17%
Proteins
17%
Histones
15%
High-Throughput Nucleotide Sequencing
14%
Nuclear Pore Complex Proteins
13%
Isolation Hospitals
12%
Support Vector Machine
11%
Crowdsourcing
11%
Knowledge Discovery
11%
Databases
11%
tributyl phosphate
11%
SARS Virus
10%
Information Systems
10%
Precision Medicine
10%
Neoplasm Genes
10%
Platelet-Derived Growth Factor alpha Receptor
10%
Technology
10%
Yeasts
10%
Ecological Momentary Assessment
10%
Gene Expression Profiling
10%
Drug Repositioning
10%
Mutation
9%
Chromatin Immunoprecipitation
9%
Artificial Intelligence
9%
Depression
9%
Ovarian Neoplasms
9%
Trypanosoma
9%
