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西北工业大学 国内
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科研成果
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尤 著宏
Professor
计算机学院
h-index
14238
引用
62
H-指数
根据储存在 Pure 的刊物以及来自 Scopus 的引用文献数量计算
2007
2025
每年的科研成果
综述
指纹
网络
科研成果
(369)
相似简介
(4)
指纹
深入其中 Zhuhong You 为活跃的研究主题。这些主题标签来自此人的成果。它们共同形成唯一的指纹。
分类
加权
按字母排序
Computer Science
Amino Acid Sequence
49%
Association Network
17%
Attention (Machine Learning)
16%
Attribute Information
13%
Autoencoder
12%
Average Accuracy
14%
Biological Knowledge
11%
Case Study
38%
Complex Disease
13%
Computational Approach
14%
Computational Method
72%
Computational Modeling
35%
Convolutional Neural Network
17%
Deep Learning Method
14%
Deep Learning Model
8%
Deep Neural Network
8%
Drug-Disease Association
21%
Embedding Algorithm
8%
Embedding Method
9%
Ensemble Learning
9%
Experimental Result
63%
Extreme Gradient Boosting
8%
Extreme Learning Machine
13%
Feature Extraction
17%
Feature Vector
16%
Fold Cross Validation
55%
Functional Similarity
11%
Graph Convolutional Network
12%
Graph Neural Network
14%
Graph Representation Learning
15%
Heterogeneous Network
13%
High Throughput
24%
Image Segmentation
14%
Information Network
16%
Information Sequence
18%
Knowledge Graph
10%
Learning System
19%
Link Prediction
11%
local feature
8%
Machine Learning
18%
nonnegative matrix factorization
11%
Prediction Accuracy
22%
Prediction Model
21%
Prediction Performance
25%
Random Decision Forest
10%
Random Forest Classifier
14%
Representation Learning
11%
Scoring Matrix
27%
Sparse Representation
10%
Support Vector Machine
28%
Biochemistry, Genetics and Molecular Biology
Amino Acid
7%
baker's yeast
6%
Bioinformatics
9%
Biological Functions
9%
Biological Phenomena and Functions Concerning the Entire Organism
19%
Cell Function
9%
Circular RNA
36%
Drug Structure
5%
Enzyme
10%
Feature Extraction
16%
G Protein Coupled Receptor
11%
Gaussian Distribution
10%
Gene Expression
6%
Genetics
7%
Genomics
8%
Helicobacter Pylori
12%
Ion Channel
11%
K Nearest Neighbor
5%
Long Non-Coding RNA
50%
Microorganism
9%
MicroRNA
100%
Molecular Biology
8%
Molecular Network
5%
Non-Coding RNA
13%
Nuclear Receptor
11%
Peptide Sequence
81%
Piwi-Interacting RNA
9%
Position Weight Matrix
48%
Principal Component Analysis
10%
Protein Interaction
31%
Protein-Protein Interaction
80%
Protein-Protein Interaction Networks
17%
Proteomics
11%
Random Forest
33%
Relevance Vector Machine
6%
RNA Sequence
5%
RNA-binding Protein
7%
Support Vector Machine
22%
