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國立陽明交通大學研發優勢分析平台 首頁
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查看斯高帕斯 (Scopus) 概要
連 紹宇
教授
智慧科學暨綠能學院
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3364
引文
24
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。
1347
引文
16
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。
388
引文
9
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。
2007
2025
每年研究成果
概覽
指紋
網路
研究成果
(83)
指紋
查看啟用 Shao-Yu Lien 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
Keyphrases
Cognitive Radio
79%
Deep Reinforcement Learning (deep RL)
75%
3rd Generation Partnership Project (3GPP)
74%
Open Radio Access Network (O-RAN)
56%
Reinforcement Learning Approach
53%
Machine-to-machine Communications
49%
Non-terrestrial Networks
49%
Quality of Service Guarantee
48%
Latency
46%
Radio Access
43%
User Equipment
42%
Licensed-assisted Access
40%
Unlicensed Spectrum
35%
Multi-tier
35%
LTE-A
33%
Ultra-reliable Low-latency Communication (URLLC)
32%
Low Earth Orbit Satellites
31%
Low-latency Communications
31%
Femtocell
31%
Radio Resources
29%
Radio Resource Management
28%
Multiple Access Protocol
25%
Cognitive Radio Networks
24%
Ultra-low
24%
Cellular Networks
24%
Low Latency
23%
Heterogeneous Networks
22%
Ultra-reliable
22%
M2M Communication
21%
5G NR
21%
Heterogeneous Cloud Radio Access Network (H-CRAN)
21%
Cyber-physical Systems
21%
User Access Control
21%
Federated Deep Reinforcement Learning
21%
Learning-based
20%
Spectral Efficiency
19%
Learning Scheme
19%
Vertical Applications
18%
Macrocell
18%
Transmitter
18%
Interference Mitigation
17%
Wireless Services
17%
Slotted ALOHA
17%
Resource Management
17%
Quality of Service
16%
Machine-to-machine (M2M) Communications
15%
Unlicensed Band
15%
Medium Access Control
15%
Split Computing
15%
Random Access
15%
Computer Science
Radio Access Network
100%
Deep Reinforcement Learning
98%
Cognitive Radio
82%
Quality of Service
64%
Learning Approach
55%
Machine to Machines
50%
Machine Communication
49%
Cellular Network
49%
Terrestrial Network
49%
Multiple Access
35%
Communication Latency
35%
Service Guarantee
34%
Resource Allocation
31%
Use Case
31%
Heterogeneous Network
30%
Interference Mitigation
29%
Network Architecture
27%
Mobile Network
26%
Reinforcement Learning
24%
Learning Scheme
24%
Cognitive Radio Network
23%
Random Access
22%
Access Control
22%
Radio Resource Management
21%
Cyber Physical Systems
21%
Channel Access
20%
Resource Utilisation
19%
long-term evolution
18%
Machine Learning
18%
5G Mobile Communication
18%
Wireless Communication
18%
Decision-Making
17%
Physical Layer
16%
Access Schemes
16%
Energy Efficiency
16%
Device-To-Device Communication
15%
Multimedia Application
15%
Internet-Of-Things
15%
Artificial Intelligence
14%
Type Communication
14%
Learning System
14%
Access Network
14%
Traffic Control
14%
Session Management
14%
Telecommunication
13%
Performance Analysis
12%
Communication Network
12%
Wireless Network
12%
Deep Q-Network
12%
Edge Server
11%
Engineering
Radio Access
53%
Cognitive Radio
50%
Reinforcement Learning
49%
Quality of Service
42%
Radio Resource
40%
Cellular Network
38%
Femtocells
35%
Heterogeneous Network
29%
Radio Access Network
28%
Terrestrial Network
28%
Basestation
22%
Random Access
21%
Radio Resource Management
21%
Low Earth Orbit
17%
Long Term Evolution
15%
Internet-Of-Things
15%
Open Loop
14%
Traffic Control
14%
Machine-to-Machine Communication
14%
Wireless Communication
14%
Cognitive Radio Networks
14%
Ultra-Reliable Low Latency Communication
14%
Macrocell
13%
Handover
13%
Simulation Result
13%
Resource Utilisation
13%
Network Access
12%
Spectrum Efficiency
11%
Mobile Broadband
11%
Learning Approach
11%
5G Mobile Communication
9%
Public Safety
9%
Radio Technology
8%
High Data Rate
8%
Edge Computing
8%
Data Rate
8%
Engineering
8%
Closed Loop
8%
Radio Link
8%
Standardization Activity
8%
Packet Transmission
7%
Control Scheme
7%
Observables
7%
Mobile Station
7%
Amplifier
7%
Spectrum Density
7%
Local Area
7%
Frame Structure
7%
Core Network
7%
Power Spectral Density
7%
