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查看 Scopus 资料
闫 波
计算机学院
h-index
210
引用
8
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
2009
2024
每年的科研成果
概览
指纹图谱
合作网络
科研成果
(42)
相似学者
(2)
指纹图谱
深入其中 Bo Yan 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
Social Network
100%
Experimental Result
71%
Collaborative Filtering
66%
Complex Networks
55%
Graphics Processing Unit
49%
Network Structures
47%
Color Classification
44%
Microblogs
44%
Sentiment Classification
44%
Mean Algorithm
44%
Support Vector Machine
44%
Dynamic Network
36%
Deep Learning
34%
Relationship Building
29%
Convolutional Neural Network
29%
Periphery Structure
29%
Neural Network Model
27%
Data Mining
26%
Probabilistic Context
22%
Color Correction
22%
Community Detection
22%
Local Optimization
22%
Image Quality
22%
Development Methodology
22%
Data Stream
22%
Machine Learning Technology
22%
collaborative filtering algorithm
22%
Multi Agent Systems
22%
color feature
22%
Learning Approach
22%
Reinforcement Learning
22%
Information Diffusion
22%
Parallel Algorithms
22%
Apache Spark
22%
Access Network
22%
Linear Discriminant Analysis
22%
Information Centre
22%
information system development
22%
Deep Convolutional Neural Networks
22%
Recommendation Algorithm
22%
Local Environment
22%
Anomaly Detection
22%
Map-Reduce
22%
Technology Sector
22%
Subgraphs
22%
Task Completion
22%
Time Series Data
22%
Distributed Simulation
22%
Information Technology
22%
Development Activity
22%
Engineering
Filtration
44%
Anomaly Detection
44%
Convolutional Neural Network
44%
Deep Learning
33%
Feature Extraction
29%
Experimental Result
29%
Image Processing
22%
Color Correction
22%
Bridging
22%
Data Stream
22%
Loss Function
22%
Feature Space
22%
Feature Extraction Network
22%
Maximization
22%
Filtering Algorithm
22%
Machine Learning Method
22%
Recurrent Neural Network
22%
Sentiment Analysis
22%
MapReduce
22%
Nodes
16%
Image Synthesis
11%
Data Preprocessing
11%
Deep Neural Network
11%
Shallower
11%
Color Constancy
11%
Eigenvector
11%
Random Forest
11%
Industrial Production
11%
Nearest Neighbor
11%
Extensibility
11%
Light Source
11%
Classification Task
11%
Limitations
11%
Rotation Angle
11%
Network Topology
11%
Histogram
11%
Color Image
11%
Complex Networks
11%
Final Result
7%
Data Sample
7%
Dimensionality
7%
Multiple Random
7%
Classification Accuracy
7%
Good Performance
7%
Internet of Things
7%
Decay Time
5%
Similarities
5%
Diffusion Model
5%
Output Sample
5%
Marginals
5%
