Ying‐Chang Liang

53.5k total citations · 21 hit papers
753 papers, 36.1k citations indexed

About

Ying‐Chang Liang is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Aerospace Engineering. According to data from OpenAlex, Ying‐Chang Liang has authored 753 papers receiving a total of 36.1k indexed citations (citations by other indexed papers that have themselves been cited), including 607 papers in Electrical and Electronic Engineering, 449 papers in Computer Networks and Communications and 153 papers in Aerospace Engineering. Recurrent topics in Ying‐Chang Liang's work include Advanced MIMO Systems Optimization (320 papers), Cognitive Radio Networks and Spectrum Sensing (191 papers) and Advanced Wireless Communication Technologies (161 papers). Ying‐Chang Liang is often cited by papers focused on Advanced MIMO Systems Optimization (320 papers), Cognitive Radio Networks and Spectrum Sensing (191 papers) and Advanced Wireless Communication Technologies (161 papers). Ying‐Chang Liang collaborates with scholars based in Singapore, China and United States. Ying‐Chang Liang's co-authors include Yonghong Zeng, Rui Zhang, Anh Tuan Hoang, Edward Peh, Yiyang Pei, Dusit Niyato, Huayan Guo, Gang Yang, Xin Kang and Qianqian Zhang and has published in prestigious journals such as Proceedings of the IEEE, IEEE Transactions on Information Theory and IEEE Transactions on Signal Processing.

In The Last Decade

Ying‐Chang Liang

716 papers receiving 35.1k citations

Hit Papers

Sensing-Throughput Tradeo... 2007 2026 2013 2019 2008 2020 2019 2009 2011 500 1000 1.5k 2.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ying‐Chang Liang Singapore 93 26.9k 22.3k 7.3k 3.3k 2.3k 753 36.1k
Geoffrey Ye Li China 83 23.8k 0.9× 12.7k 0.6× 5.9k 0.8× 5.6k 1.7× 1.4k 0.6× 503 30.1k
Björn Ottersten Luxembourg 76 16.1k 0.6× 10.0k 0.4× 8.4k 1.1× 1.8k 0.6× 4.0k 1.7× 928 23.5k
Lajos Hanzo United Kingdom 110 50.4k 1.9× 26.1k 1.2× 14.7k 2.0× 6.0k 1.8× 2.8k 1.2× 1.9k 60.6k
Khaled B. Letaief Hong Kong 78 22.0k 0.8× 20.6k 0.9× 4.3k 0.6× 3.2k 1.0× 871 0.4× 722 31.1k
Arumugam Nallanathan United Kingdom 73 18.7k 0.7× 9.8k 0.4× 7.2k 1.0× 1.5k 0.4× 833 0.4× 732 23.1k
Theodore S. Rappaport United States 85 41.7k 1.6× 15.8k 0.7× 11.8k 1.6× 1.2k 0.4× 2.2k 0.9× 346 47.6k
David Tse United States 66 36.3k 1.3× 32.8k 1.5× 3.4k 0.5× 1.7k 0.5× 780 0.3× 272 42.9k
Andrea Goldsmith United States 73 35.7k 1.3× 28.4k 1.3× 3.7k 0.5× 2.1k 0.6× 890 0.4× 520 41.1k
Mérouane Debbah France 88 29.2k 1.1× 15.7k 0.7× 15.5k 2.1× 2.8k 0.8× 636 0.3× 634 38.8k
Chau Yuen Singapore 78 22.8k 0.8× 7.4k 0.3× 8.8k 1.2× 2.1k 0.6× 993 0.4× 935 28.7k

Countries citing papers authored by Ying‐Chang Liang

Since Specialization
Citations

This map shows the geographic impact of Ying‐Chang Liang'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 Ying‐Chang Liang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ying‐Chang Liang more than expected).

Fields of papers citing papers by Ying‐Chang Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ying‐Chang Liang. 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 Ying‐Chang Liang. The network helps show where Ying‐Chang Liang may publish in the future.

Co-authorship network of co-authors of Ying‐Chang Liang

This figure shows the co-authorship network connecting the top 25 collaborators of Ying‐Chang Liang. A scholar is included among the top collaborators of Ying‐Chang Liang 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 Ying‐Chang Liang. Ying‐Chang Liang 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.
Long, Ruizhe, et al.. (2025). Active RIS-Empowered Backscatter Communication Based on Single-Carrier Frequency-Domain Equalization. IEEE Wireless Communications Letters. 14(7). 2104–2108.
2.
Zhong, Chen, Hui Ding, Dongming Li, Lan Tang, & Ying‐Chang Liang. (2025). Resource Allocation for Dynamic TDD-Enabled Integrated Sensing and Communication Systems. IEEE Transactions on Vehicular Technology. 74(6). 9357–9369. 1 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.
Long, Ruizhe, et al.. (2024). RIS-Enabled Full-Duplex Backscatter Communication in Multi-User Symbiotic Radio. IEEE Transactions on Wireless Communications. 23(11). 16261–16274. 3 indexed citations
6.
Zhou, Zizhen, et al.. (2024). Hierarchical Cognitive Spectrum Sharing in Space-Air-Ground Integrated Networks. 385–390. 2 indexed citations
7.
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
8.
Long, Ruizhe, et al.. (2023). Channel Estimation and Training Design for Active RIS Aided Wireless Communications. IEEE Wireless Communications Letters. 12(11). 1876–1880. 9 indexed citations
9.
Liang, Ying‐Chang, et al.. (2023). User Association for Symbiotic Spectrum and Service Sharing Among Multiple Mobile Network Operators. IEEE Transactions on Wireless Communications. 23(3). 2167–2180. 4 indexed citations
10.
Liang, Ying‐Chang, et al.. (2023). Deep Reinforcement Learning for Distributed Dynamic Coordinated Beamforming in Massive MIMO Cellular Networks. IEEE Transactions on Wireless Communications. 23(5). 4155–4169. 15 indexed citations
11.
Chen, Jie, Ying‐Chang Liang, Hei Victor Cheng, & Wei Yu. (2023). Channel Estimation for Reconfigurable Intelligent Surface Aided Multi-User mmWave MIMO Systems. IEEE Transactions on Wireless Communications. 22(10). 6853–6869. 160 indexed citations breakdown →
12.
Li, Songmin, et al.. (2022). Azimuth Estimation for the Backscatter Device in Ambient Backscatter Communication System. IEEE Wireless Communications Letters. 11(8). 1674–1678. 1 indexed citations
13.
Yang, Gang, et al.. (2021). Reconfigurable Intelligent Surface Empowered Device-to-Device Communication Underlaying Cellular Networks. IEEE Transactions on Communications. 69(11). 7790–7805. 50 indexed citations
14.
Yang, Gang, et al.. (2021). Joint Hybrid and Passive Beamforming for Millimeter Wave Symbiotic Radio Systems. IEEE Wireless Communications Letters. 10(10). 2294–2298. 12 indexed citations
15.
Tang, Lan, et al.. (2020). Joint Optimization of Handover Control and Power Allocation Based on Multi-Agent Deep Reinforcement Learning. IEEE Transactions on Vehicular Technology. 69(11). 13124–13138. 135 indexed citations
16.
Zhao, Huapeng, Xinhui Zhang, Jun Hu, Zhizhang Chen, & Ying‐Chang Liang. (2020). A Hybrid-Equivalent Surface-Edge Current Model for Simulation of V2X Communication Antennas With Arbitrarily Shaped Contour. IEEE Internet of Things Journal. 8(10). 8064–8077. 12 indexed citations
17.
Feng, Gang, et al.. (2020). Network Slice Reconfiguration by Exploiting Deep Reinforcement Learning With Large Action Space. IEEE Transactions on Network and Service Management. 17(4). 2197–2211. 89 indexed citations
18.
Gong, Shimin, Xiao Lu, Dinh Thai Hoang, et al.. (2019). Towards Smart Radio Environment for Wireless Communications via Intelligent Reflecting Surfaces: A Comprehensive Survey. arXiv (Cornell University). 20 indexed citations
19.
Guo, Huayan, Ying‐Chang Liang, Ruizhe Long, Sa Xiao, & Qianqian Zhang. (2019). Resource Allocation for Symbiotic Radio System With Fading Channels. IEEE Access. 7. 34333–34347. 61 indexed citations
20.
Guo, Huayan, Qianqian Zhang, Sa Xiao, & Ying‐Chang Liang. (2018). Exploiting Multiple Antennas for Cognitive Ambient Backscatter Communication. IEEE Internet of Things Journal. 6(1). 765–775. 104 indexed citations

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