Yiyang Pei

5.0k total citations · 4 hit papers
71 papers, 3.6k citations indexed

About

Yiyang Pei is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Aerospace Engineering. According to data from OpenAlex, Yiyang Pei has authored 71 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Electrical and Electronic Engineering, 30 papers in Computer Networks and Communications and 21 papers in Aerospace Engineering. Recurrent topics in Yiyang Pei's work include Advanced MIMO Systems Optimization (21 papers), Advanced Wireless Communication Technologies (16 papers) and Cognitive Radio Networks and Spectrum Sensing (14 papers). Yiyang Pei is often cited by papers focused on Advanced MIMO Systems Optimization (21 papers), Advanced Wireless Communication Technologies (16 papers) and Cognitive Radio Networks and Spectrum Sensing (14 papers). Yiyang Pei collaborates with scholars based in Singapore, China and Australia. Yiyang Pei's co-authors include Ying‐Chang Liang, Nan Zhao, Dusit Niyato, Kwok Hung Li, Ruizhe Long, Kah Chan Teh, Erik G. Larsson, Huayan Guo, Jie Chen and Rui Zhang and has published in prestigious journals such as IEEE Transactions on Signal Processing, IEEE Access and IEEE Journal on Selected Areas in Communications.

In The Last Decade

Yiyang Pei

71 papers receiving 3.5k citations

Hit Papers

Active Reconfigurable Intelligent Surface-Aided Wireless ... 2019 2026 2021 2023 2021 2019 2019 2022 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yiyang Pei Singapore 26 2.7k 1.7k 1.1k 407 148 71 3.6k
Vincenzo Sciancalepore Spain 28 2.6k 1.0× 2.0k 1.2× 1.0k 0.9× 219 0.5× 82 0.6× 86 3.9k
Shimin Gong China 25 2.2k 0.8× 1.7k 1.0× 1.0k 1.0× 473 1.2× 181 1.2× 137 3.6k
Helin Yang China 30 2.3k 0.8× 908 0.5× 659 0.6× 381 0.9× 93 0.6× 110 3.0k
Yansha Deng United Kingdom 40 3.7k 1.4× 1.9k 1.1× 1.3k 1.2× 434 1.1× 97 0.7× 213 5.2k
Dinh‐Thuan Do Vietnam 34 2.8k 1.0× 882 0.5× 1.1k 1.0× 187 0.5× 62 0.4× 229 3.4k
Mohammad Shikh‐Bahaei United Kingdom 25 2.5k 0.9× 1.9k 1.1× 1.4k 1.3× 781 1.9× 58 0.4× 153 3.8k
Ali Ghrayeb Canada 36 6.1k 2.3× 3.2k 1.9× 1.9k 1.7× 420 1.0× 230 1.6× 269 7.1k
Shaodan Ma Macao 37 3.6k 1.3× 1.7k 1.0× 1.2k 1.1× 287 0.7× 97 0.7× 241 4.3k
Lüxi Yang China 33 2.6k 1.0× 1.4k 0.8× 1.5k 1.4× 274 0.7× 69 0.5× 263 3.6k
Weidang Lu China 31 2.6k 1.0× 1.9k 1.1× 1.9k 1.7× 336 0.8× 69 0.5× 185 4.0k

Countries citing papers authored by Yiyang Pei

Since Specialization
Citations

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

Fields of papers citing papers by Yiyang Pei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yiyang Pei. 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 Yiyang Pei. The network helps show where Yiyang Pei may publish in the future.

Co-authorship network of co-authors of Yiyang Pei

This figure shows the co-authorship network connecting the top 25 collaborators of Yiyang Pei. A scholar is included among the top collaborators of Yiyang Pei 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 Yiyang Pei. Yiyang Pei 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.
Wang, Xuehe, et al.. (2024). Optimal Scheduling and Deep Reinforcement Learning for Multimodal Charging System via Unmanned Aerial Vehicles. IEEE Transactions on Green Communications and Networking. 9(3). 1368–1384. 1 indexed citations
2.
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
3.
Zhang, Qianqian, et al.. (2023). Pilot Design and Signal Detection for Symbiotic Radio Over OFDM Carriers. IEEE Transactions on Wireless Communications. 23(2). 1129–1142. 5 indexed citations
4.
Zhao, Nan, Yiyang Pei, Ying‐Chang Liang, & Dusit Niyato. (2023). Deep-Reinforcement-Learning-Based Contract Incentive Mechanism for Joint Sensing and Computation in Mobile Crowdsourcing Networks. IEEE Internet of Things Journal. 11(7). 12755–12767. 6 indexed citations
5.
Chen, Jinlian, et al.. (2023). Joint Device Participation, Dataset Management, and Resource Allocation in Wireless Federated Learning via Deep Reinforcement Learning. IEEE Transactions on Vehicular Technology. 73(3). 4505–4510. 6 indexed citations
6.
Liang, Ying‐Chang, et al.. (2022). Reconfigurable Intelligent Surface as a Micro Base Station: A Novel Paradigm for Small Cell Networks. IEEE Transactions on Wireless Communications. 22(4). 2338–2351. 8 indexed citations
7.
Zhao, Nan, Zhiyang Ye, Yiyang Pei, Ying‐Chang Liang, & Dusit Niyato. (2022). Multi-Agent Deep Reinforcement Learning for Task Offloading in UAV-Assisted Mobile Edge Computing. IEEE Transactions on Wireless Communications. 21(9). 6949–6960. 268 indexed citations breakdown →
8.
Hu, Jinlin, et al.. (2022). Reconfigurable Intelligent Surface Based Uplink MU-MIMO Symbiotic Radio System. IEEE Transactions on Wireless Communications. 22(1). 423–438. 29 indexed citations
9.
Mo, Ronghong, et al.. (2022). Unsupervised TCN-AE-Based Outlier Detection for Time Series With Seasonality and Trend for Cellular Networks. IEEE Transactions on Wireless Communications. 22(5). 3114–3127. 7 indexed citations
10.
Chen, Jie, Ying‐Chang Liang, Yiyang Pei, & Huayan Guo. (2019). Intelligent Reflecting Surface: A Programmable Wireless Environment for Physical Layer Security. IEEE Access. 7. 82599–82612. 357 indexed citations breakdown →
11.
Zhao, Nan, Ying‐Chang Liang, Dusit Niyato, et al.. (2019). Deep Reinforcement Learning for User Association and Resource Allocation in Heterogeneous Cellular Networks. IEEE Transactions on Wireless Communications. 18(11). 5141–5152. 335 indexed citations breakdown →
12.
Hu, Shisheng, Yiyang Pei, Paul Pu Liang, & Ying‐Chang Liang. (2018). Robust Modulation Classification under Uncertain Noise Condition Using Recurrent Neural Network. 1–7. 38 indexed citations
13.
Zhao, Nan, Ying‐Chang Liang, Dusit Niyato, Yiyang Pei, & Yunhao Jiang. (2018). Deep Reinforcement Learning for User Association and Resource Allocation in Heterogeneous Networks. 1–6. 52 indexed citations
14.
Xie, Jiandong, Ying‐Chang Liang, Yiyang Pei, Jun Fang, & Li Wang. (2017). Intelligent Multi-Radio Access Based on Markov Decision Process. 1–6. 5 indexed citations
16.
Pei, Yiyang, et al.. (2012). How many RF chains are optimal for large-scale MIMO systems when circuit power is considered?. 3868–3873. 33 indexed citations
17.
Pei, Yiyang, Ying‐Chang Liang, Lan Zhang, Kah Chan Teh, & Kwok Hung Li. (2010). Secure communication over MISO cognitive radio channels. IEEE Transactions on Wireless Communications. 9(4). 1494–1502. 164 indexed citations
18.
Pei, Yiyang, Ying‐Chang Liang, Kah Chan Teh, & Kwok Hung Li. (2009). Sensing-throughput tradeoff for cognitive radio networks: A multiple-channel scenario. 1257–1261. 36 indexed citations
19.
Zhang, Lan, Ying‐Chang Liang, Yiyang Pei, & Rui Zhang. (2009). Robust Beamforming Design: From Cognitive Radio MISO Channels to Secrecy MISO Channels. 1–5. 28 indexed citations
20.
Pei, Yiyang, et al.. (2009). How Much Time is Needed for Qideband Spectrum Sensing?. IEEE Transactions on Wireless Communications. 8(11). 5466–5471. 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.

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