Weiwei Yang

4.2k total citations
184 papers, 3.2k citations indexed

About

Weiwei Yang is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Weiwei Yang has authored 184 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 163 papers in Electrical and Electronic Engineering, 78 papers in Computer Networks and Communications and 34 papers in Artificial Intelligence. Recurrent topics in Weiwei Yang's work include Wireless Communication Security Techniques (134 papers), Advanced Wireless Communication Technologies (52 papers) and Cooperative Communication and Network Coding (50 papers). Weiwei Yang is often cited by papers focused on Wireless Communication Security Techniques (134 papers), Advanced Wireless Communication Technologies (52 papers) and Cooperative Communication and Network Coding (50 papers). Weiwei Yang collaborates with scholars based in China, Australia and United Kingdom. Weiwei Yang's co-authors include Yueming Cai, Xinrong Guan, Zhongwu Xiang, Xingbo Lu, Yi Song, Xiaoli Sun, Shihao Yan, Ruiqian Ma, Gaofeng Pan and Liwei Tao and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Energy and IEEE Access.

In The Last Decade

Weiwei Yang

175 papers receiving 3.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Weiwei Yang China 34 2.8k 1.3k 889 482 123 184 3.2k
Jingon Joung South Korea 29 2.8k 1.0× 1.5k 1.2× 946 1.1× 195 0.4× 103 0.8× 170 3.2k
Jiaru Lin China 28 2.7k 1.0× 1.7k 1.3× 846 1.0× 379 0.8× 69 0.6× 250 3.3k
Giovanni Geraci Spain 25 2.3k 0.8× 1.3k 1.0× 1.0k 1.2× 170 0.4× 147 1.2× 91 2.8k
Lu Lv China 27 2.4k 0.8× 844 0.7× 597 0.7× 258 0.5× 60 0.5× 83 2.7k
Hongjiang Lei China 29 2.6k 0.9× 980 0.8× 763 0.9× 131 0.3× 113 0.9× 107 2.8k
Zheng Chu United Kingdom 40 4.3k 1.5× 1.2k 1.0× 1.7k 1.9× 187 0.4× 114 0.9× 163 4.9k
Mohammed El‐Hajjar United Kingdom 28 3.3k 1.1× 1.4k 1.1× 812 0.9× 175 0.4× 113 0.9× 158 3.8k
Tong-Xing Zheng China 23 1.8k 0.6× 777 0.6× 380 0.4× 265 0.5× 67 0.5× 91 1.9k
Emad Alsusa United Kingdom 29 2.8k 1.0× 1.3k 1.0× 726 0.8× 143 0.3× 75 0.6× 261 3.2k
Chengwen Xing China 22 1.5k 0.5× 656 0.5× 653 0.7× 199 0.4× 110 0.9× 112 1.9k

Countries citing papers authored by Weiwei Yang

Since Specialization
Citations

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

Fields of papers citing papers by Weiwei Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weiwei Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Weiwei Yang. A scholar is included among the top collaborators of Weiwei Yang 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 Weiwei Yang. Weiwei Yang 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.
Shu, Feng, Wei Gao, Guilu Wu, et al.. (2025). A Novel-Deep-Neural-Network-Architecture-Based GAN-DRANet for DOA Sensing With an Enhanced Performance in Low SNR. IEEE Internet of Things Journal. 12(13). 22610–22622.
2.
Li, Guoxin, et al.. (2024). When the Warden Does Not Know Transmit Power: Detection Performance Analysis and Covertness Strategy Design. IEEE Transactions on Communications. 72(6). 3184–3198. 7 indexed citations
3.
4.
Yang, Weiwei, et al.. (2023). Covert Wireless Communication Against Jamming-Assisted Proactive Detection. IEEE Wireless Communications Letters. 12(8). 1304–1308. 7 indexed citations
5.
Ma, Ruiqian, et al.. (2022). Covert Relay Communications With Finite Block-Length Against Combining Detection. IEEE Wireless Communications Letters. 11(11). 2450–2454. 7 indexed citations
6.
Guan, Xinrong, et al.. (2021). UAV Swarm Communication Under Malicious Jamming: Joint Trajectory and Clustering Design. IEEE Wireless Communications Letters. 10(10). 2264–2268. 27 indexed citations
7.
Xiang, Zhongwu, Weiwei Yang, Gaofeng Pan, et al.. (2021). An HARQ Assisted Cognitive NOMA Scheme for Secure Transmission With Imperfect SIC. IEEE Transactions on Communications. 69(3). 1930–1946. 10 indexed citations
8.
Lu, Xingbo, Weiwei Yang, Shihao Yan, Zan Li, & Derrick Wing Kwan Ng. (2021). Covertness and Timeliness of Data Collection in UAV-Aided Wireless-Powered IoT. IEEE Internet of Things Journal. 9(14). 12573–12587. 66 indexed citations
9.
Yang, Weiwei, et al.. (2020). Energy-Efficient Trajectory Design for UAV-Enabled Communication Under Malicious Jamming. IEEE Wireless Communications Letters. 10(2). 206–210. 37 indexed citations
10.
Xiang, Zhongwu, Weiwei Yang, Yueming Cai, et al.. (2020). Secure Transmission in a NOMA-Assisted IoT Network With Diversified Communication Requirements. IEEE Internet of Things Journal. 7(11). 11157–11169. 51 indexed citations
11.
Tao, Liwei, Weiwei Yang, Shihao Yan, et al.. (2020). Covert Communication in Downlink NOMA Systems With Random Transmit Power. IEEE Wireless Communications Letters. 9(11). 2000–2004. 95 indexed citations
12.
Yan, Yan, Weiwei Yang, Daoxing Guo, et al.. (2020). Robust Secure Beamforming and Power Splitting for Millimeter-Wave Cognitive Satellite–Terrestrial Networks With SWIPT. IEEE Systems Journal. 14(3). 3233–3244. 19 indexed citations
13.
Song, Yi, et al.. (2020). Research on Cognitive Power Allocation for Secure Millimeter-Wave NOMA Networks. IEEE Transactions on Vehicular Technology. 69(11). 13424–13436. 10 indexed citations
14.
Xiang, Zhongwu, Weiwei Yang, Yueming Cai, Zhiguo Ding, & Yi Song. (2020). Secure Transmission Design in HARQ Assisted Cognitive NOMA Networks. IEEE Transactions on Information Forensics and Security. 15. 2528–2541. 54 indexed citations
15.
Song, Yi, Weiwei Yang, Zhongwu Xiang, Biao Wang, & Yueming Cai. (2019). Secure Transmission in mmWave NOMA Networks With Cognitive Power Allocation. IEEE Access. 7. 76104–76119. 22 indexed citations
16.
Song, Yi, Weiwei Yang, Zhongwu Xiang, Biao Wang, & Yueming Cai. (2019). On the Performance of Random Cognitive mmWave Sensor Networks. Sensors. 19(14). 3184–3184. 2 indexed citations
17.
Song, Yi, Weiwei Yang, Zhongwu Xiang, Yiliang Liu, & Yueming Cai. (2019). Secure Transmission in mmWave Wiretap Channels: On Sector Guard Zone and Blockages. Entropy. 21(4). 427–427. 2 indexed citations
18.
Xiang, Zhongwu, Weiwei Yang, Gaofeng Pan, et al.. (2019). Secure Transmission in HARQ-Assisted Non-Orthogonal Multiple Access Networks. IEEE Transactions on Information Forensics and Security. 15. 2171–2182. 41 indexed citations
19.
Guan, Xinrong, et al.. (2018). Performance analysis in wireless key generation using estimated channel state information. Electronics Letters. 54(20). 1178–1180. 1 indexed citations
20.

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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