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查看 Scopus 资料
牛 振东
计算机学院
h-index
4649
引用
35
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
1995 …
2024
每年的科研成果
概览
指纹图谱
合作网络
科研成果
(298)
相似学者
(5)
指纹图谱
深入其中 Zhendong Niu 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
Experimental Result
100%
Recommender Systems
47%
e-learning
47%
Collaborative Filtering
44%
Sentiment Analysis
42%
Digital Libraries
39%
Attention (Machine Learning)
34%
Ontology
33%
Classifier
33%
Sentiment Classification
32%
Learning Systems
31%
Linked Data
28%
Recommendation Algorithm
27%
Deep Learning
25%
Machine Learning
25%
User Preference
25%
Refactoring
25%
personalized service
25%
Information Extraction
22%
Convolutional Neural Network
22%
Clustering Method
21%
Wireless Sensor Network
21%
Evaluation Models
21%
Document Classification
21%
Time Series Data
21%
Blog
21%
Learning Resource
21%
Sparsity
21%
hybrid recommendation
20%
Clustering Algorithm
20%
Learning Process
19%
Software Engineer
17%
Concept Lattice
17%
Evaluation Result
17%
Named Entity Recognition
17%
Query Expansion
17%
unstructured peer-to-peer
16%
Information Explosion
16%
Product Feature
16%
Machine Learning Technique
16%
Feature Extraction
16%
Representation Learning
15%
Formal Concept Analysis
15%
Text Classification
15%
e-learning environment
15%
Support Vector Machine
14%
Feature Interaction
14%
Knowledge Base
14%
Deep Neural Network
14%
Baseline Model
14%
Engineering
Similarities
38%
Experimental Result
35%
Tasks
34%
Demonstrates
34%
Filtration
33%
Nodes
17%
Classification Method
17%
Good Performance
16%
Genetic Algorithm
15%
Deep Learning
15%
Percolation Threshold
14%
Wireless Sensor Network
14%
Convolutional Neural Network
14%
Sensor Fusion
14%
Summarization
14%
Obtains
13%
Determines
12%
Open Domain
10%
Network Model
10%
Feature Vector
10%
Dimensional Data
9%
Physical Sensor
8%
Supports
8%
Computational Complexity
7%
Fluid Viscosity
7%
Dense Layer
7%
Cluster Algorithm
7%
Manhattan Distance
7%
Based Detection Method
7%
Inherent Characteristic
7%
Control Scheme
7%
Enhanced Model
7%
Logic Design
7%
Discrete Model
7%
Autoencoder
7%
Bayesian Classifier
7%
Improve Efficiency
7%
Rate Model
7%
Retrieval System
7%
Ground Truth
7%
Image Synthesis
7%
Deep Neural Network
7%
Brain-Computer Interface
7%
Source Coding
7%
Characterization Method
7%
Lagrange Multiplier Method
7%
Transients
7%
Macroblock
7%
Random Forest
7%
Maintainability
7%
