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連絡專家
查看斯高帕斯 (Scopus) 概要
彭 祥佑
Lecturer
Lecturer
,
Faculty of Applied Sciences
電話
8599 6886
電子郵件
patrickpang
mpu.edu
mo
h-index
428
引文
12
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。
2010
2024
每年研究成果
概覽
指紋
網路
研究成果
(58)
新聞/媒體
(7)
類似的個人檔案
(6)
指紋
查看啟用 CHEONG IAO PANG 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
Computer Science
Health Information
100%
Information Seeking Behavior
38%
visualization method
23%
Artificial Intelligence
23%
Google Analytics
21%
User Interfaces
21%
Bidirectional Encoder Representations From Transformers
21%
Wiki
21%
Natural Language Processing
21%
Information Visualization
20%
Information Seeker
20%
Information System
18%
Social Media
18%
Neural Network
17%
Semistructured Interview
17%
Research Participant
17%
Recruiting Participant
17%
Research Project
17%
Financial Time
17%
Transfer Learning
17%
Related Factor
17%
Negative Review
17%
Deep Learning
14%
Navigationflow
13%
Text Mining
10%
Facebook
10%
treemap
10%
Topic Modeling
10%
Search Engine
8%
Seeking Behavior
8%
Participatory Design
8%
Participatory Evaluation
8%
Performance Comparison
8%
Secondary School
8%
Educational Data Mining
8%
Microblogging
8%
Observational Method
8%
Language Modeling
8%
Sentiment Analysis
8%
Category Hierarchy
8%
Geographical Information
8%
Geometric Distribution
8%
Quantitative Study
8%
Knowledge Distillation
8%
Classification Algorithm
8%
Performance Evaluation
8%
User Preference
8%
Crosswalk
8%
Multi-Source Transfer Learning
8%
Smart City Concept
8%
Social Sciences
Consumers
37%
Health Information
26%
Macao
20%
Social Media
19%
Natural Language Processing
18%
Health Research
17%
Consumer Health
13%
Information-Seeking Behavior
11%
Health Policy
10%
China
10%
Electronic Learning
9%
Data Mining
9%
Information Seeking
9%
Science Studies
8%
South East Asia
8%
Qualitative Research
8%
Student Performance
8%
Time Series
8%
Learning Transfer
8%
Research Trends
8%
Curriculum Development
8%
Literature Reviews
8%
Digitization
8%
COVID 19 Epidemic
8%
Large Language Model
8%
Internship
8%
Network Analysis
8%
Systematic Review
8%
Public Health Education
8%
Social Learning Theory
8%
Thematic Analysis
7%
Social Networking Site
7%
Consumer Need
6%
COVID-19
6%
Decision Making
5%
Focus Group
5%
Psychology
Focus Group
39%
Information Seeking
34%
Semistructured Interview
26%
Qualitative Study
20%
Social Networking Site
17%
Mixed Methods
17%
Artificial Intelligence
15%
Public Health
14%
Thematic Analysis
13%
Topic Modeling
13%
Decision Making
13%
Mental Health
11%
Healthcare
10%
Online Information
8%
Special Need
8%
Systematic Review
8%
Communication Skill
8%
Social Learning
8%
Online Learning
8%
Facebook
8%
Neural Network
8%
Emotional Support
8%
Medical Model
8%
Scoping Review
8%
Social Learning Theory
8%
Search Engine
6%
Mental Illness
6%
