Shao‐Yu Lien

3.2k total citations · 1 hit paper
69 papers, 2.3k citations indexed

About

Shao‐Yu Lien is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Aerospace Engineering. According to data from OpenAlex, Shao‐Yu Lien has authored 69 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Electrical and Electronic Engineering, 53 papers in Computer Networks and Communications and 7 papers in Aerospace Engineering. Recurrent topics in Shao‐Yu Lien's work include Advanced MIMO Systems Optimization (38 papers), Cooperative Communication and Network Coding (18 papers) and Advanced Wireless Communication Technologies (16 papers). Shao‐Yu Lien is often cited by papers focused on Advanced MIMO Systems Optimization (38 papers), Cooperative Communication and Network Coding (18 papers) and Advanced Wireless Communication Technologies (16 papers). Shao‐Yu Lien collaborates with scholars based in Taiwan, China and United States. Shao‐Yu Lien's co-authors include Kwang‐Cheng Chen, Ying‐Chang Liang, Der‐Jiunn Deng, Shao-Chou Hung, Yung-Lin Hsu, Borching Su, Hung‐Yu Wei, Yenming Huang, Shin-Lin Shieh and Yang Cao and has published in prestigious journals such as IEEE Access, IEEE Communications Magazine and IEEE Transactions on Communications.

In The Last Decade

Shao‐Yu Lien

66 papers receiving 2.2k citations

Hit Papers

5G New Radio: Waveform, Frame Structure, Multiple Access,... 2017 2026 2020 2023 2017 100 200 300

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Shao‐Yu Lien Taiwan 23 1.9k 1.5k 295 222 93 69 2.3k
Stefania Sesia France 7 1.9k 1.0× 1.4k 0.9× 99 0.3× 132 0.6× 77 0.8× 20 2.1k
Evgeny Khorov Russia 22 1.9k 1.0× 1.8k 1.2× 155 0.5× 127 0.6× 83 0.9× 192 2.3k
Nitin Mangalvedhe United States 16 2.3k 1.2× 1.7k 1.1× 182 0.6× 147 0.7× 61 0.7× 27 2.6k
Hirley Alves Finland 28 2.5k 1.3× 1.4k 0.9× 246 0.8× 582 2.6× 98 1.1× 182 2.8k
Andrés García‐Saavedra Spain 24 1.5k 0.8× 1.9k 1.2× 106 0.4× 155 0.7× 161 1.7× 100 2.4k
Olga Galinina Finland 20 1.2k 0.6× 1.0k 0.7× 212 0.7× 103 0.5× 65 0.7× 70 1.6k
Nageen Himayat United States 24 2.9k 1.5× 2.4k 1.5× 166 0.6× 315 1.4× 112 1.2× 74 3.3k
Leonardo Bonati United States 17 990 0.5× 998 0.6× 178 0.6× 167 0.8× 198 2.1× 43 1.6k
Gunther Auer Germany 25 3.3k 1.7× 2.5k 1.6× 99 0.3× 187 0.8× 72 0.8× 137 3.7k
Saewoong Bahk South Korea 24 1.8k 0.9× 1.8k 1.2× 100 0.3× 104 0.5× 76 0.8× 205 2.4k

Countries citing papers authored by Shao‐Yu Lien

Since Specialization
Citations

This map shows the geographic impact of Shao‐Yu Lien's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Shao‐Yu Lien with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shao‐Yu Lien more than expected).

Fields of papers citing papers by Shao‐Yu Lien

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shao‐Yu Lien. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Shao‐Yu Lien. The network helps show where Shao‐Yu Lien may publish in the future.

Co-authorship network of co-authors of Shao‐Yu Lien

This figure shows the co-authorship network connecting the top 25 collaborators of Shao‐Yu Lien. A scholar is included among the top collaborators of Shao‐Yu Lien based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Shao‐Yu Lien. Shao‐Yu Lien is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Cao, Yang, Shao‐Yu Lien, Ying‐Chang Liang, Dusit Niyato, & Xuemin Shen. (2024). Collaborative Computing in Non-Terrestrial Networks: A Multi-Time-Scale Deep Reinforcement Learning Approach. IEEE Transactions on Wireless Communications. 23(5). 4932–4949. 8 indexed citations
2.
Cao, Yang, Shao‐Yu Lien, Ying‐Chang Liang, & Dusit Niyato. (2024). Toward Intelligent Non-Terrestrial Networks Through Symbiotic Radio: A Collaborative Deep Reinforcement Learning Scheme. IEEE Network. 39(1). 211–219. 3 indexed citations
3.
Cao, Yang, et al.. (2024). Learning-Based Multitier Split Computing for Efficient Convergence of Communication and Computation. IEEE Internet of Things Journal. 11(20). 33077–33096. 4 indexed citations
4.
Lien, Shao‐Yu, et al.. (2024). Optimum splitting computing for DNN training through next generation smart networks: a multi-tier deep reinforcement learning approach. Wireless Networks. 30(3). 1737–1751. 3 indexed citations
5.
Lien, Shao‐Yu, Chih‐Cheng Tseng, Tingyu Liu, et al.. (2024). Open Radio Access Network RIC Empowered Reconfigurable Intelligent Surface: A Physical-Layer Security Perspective. 2. 615–625.
6.
Huang, Yu-Han, et al.. (2024). Deep Learning-Based Handover Management to Steer Traffic in the 6G Intelligent Networks. 198–203. 1 indexed citations
7.
Lien, Shao‐Yu & Der‐Jiunn Deng. (2022). Autonomous Non-Terrestrial Base Station Deployment for Non-Terrestrial Networks: A Reinforcement Learning Approach. IEEE Transactions on Vehicular Technology. 71(10). 10894–10909. 10 indexed citations
8.
Lien, Shao‐Yu & Der‐Jiunn Deng. (2022). Intelligent Session Management for URLLC in 5G Open Radio Access Network: A Deep Reinforcement Learning Approach. IEEE Transactions on Industrial Informatics. 19(2). 1844–1853. 6 indexed citations
9.
Huang, Yi‐Cheng, Shao‐Yu Lien, Chih‐Cheng Tseng, Der‐Jiunn Deng, & Kwang‐Cheng Chen. (2022). Universal Vertical Applications Adaptation for Open RAN: A Deep Reinforcement Learning Approach. 92–97. 3 indexed citations
10.
Cao, Yang, Shao‐Yu Lien, Ying‐Chang Liang, Kwang‐Cheng Chen, & Xuemin Shen. (2021). User Access Control in Open Radio Access Networks: A Federated Deep Reinforcement Learning Approach. IEEE Transactions on Wireless Communications. 21(6). 3721–3736. 52 indexed citations
11.
Deng, Der‐Jiunn, et al.. (2020). IEEE 802.11ba Wake-Up Radio: Performance Evaluation and Practical Designs. IEEE Access. 8. 141547–141557. 14 indexed citations
12.
Lien, Shao‐Yu, et al.. (2020). 3GPP NR Sidelink Transmissions Toward 5G V2X. IEEE Access. 8. 35368–35382. 114 indexed citations
13.
Lien, Shao‐Yu, et al.. (2018). Latency-Optimal mmWave Radio Access for V2X Supporting Next Generation Driving Use Cases. IEEE Access. 7. 6782–6795. 22 indexed citations
14.
Lien, Shao‐Yu, et al.. (2018). Low Latency Radio Access in 3GPP Local Area Data Networks for V2X: Stochastic Optimization and Learning. IEEE Internet of Things Journal. 6(3). 4867–4879. 20 indexed citations
15.
Lien, Shao‐Yu, et al.. (2017). Optimum Ultra-Reliable and Low Latency Communications in 5G New Radio. Mobile Networks and Applications. 23(4). 1020–1027. 11 indexed citations
16.
Deng, Der‐Jiunn, Shao‐Yu Lien, Chun‐Cheng Lin, Shao-Chou Hung, & Wei‐Bo Chen. (2017). Latency Control in Software-Defined Mobile-Edge Vehicular Networking. IEEE Communications Magazine. 55(8). 87–93. 65 indexed citations
17.
Deng, Der‐Jiunn, et al.. (2016). On Quality-of-Service Provisioning in IEEE 802.11ax WLANs. IEEE Access. 4. 6086–6104. 71 indexed citations
18.
Lien, Shao‐Yu, et al.. (2016). Random Access or Scheduling: Optimum LTE Licensed-Assisted Access to Unlicensed Spectrum. IEEE Communications Letters. 20(3). 590–593. 43 indexed citations
19.
Lien, Shao‐Yu & Shin‐Ming Cheng. (2013). Performance guaranteed statistical traffic control in cognitive cellular networks. Wireless Personal Multimedia Communications. 1–5. 1 indexed citations
20.
Lien, Shao‐Yu, Shin‐Ming Cheng, & Kwang‐Cheng Chen. (2013). Interference Mitigation in CR-Enabled Heterogeneous Networks. IEICE Transactions on Communications. E96.B(6). 1230–1242.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

Explore authors with similar magnitude of impact

Rankless by CCL
2026