Yayu Gao

790 total citations
56 papers, 481 citations indexed

About

Yayu Gao is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Yayu Gao has authored 56 papers receiving a total of 481 indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Computer Networks and Communications, 36 papers in Electrical and Electronic Engineering and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Yayu Gao's work include Wireless Networks and Protocols (34 papers), Advanced Wireless Network Optimization (23 papers) and Advanced MIMO Systems Optimization (18 papers). Yayu Gao is often cited by papers focused on Wireless Networks and Protocols (34 papers), Advanced Wireless Network Optimization (23 papers) and Advanced MIMO Systems Optimization (18 papers). Yayu Gao collaborates with scholars based in China, Hong Kong and United States. Yayu Gao's co-authors include Lin Dai, Xiaojun Hei, Xinghua Sun, Sohaib Manzoor, Ze Chen, Sumit Roy, Wenqing Cheng, Hao Yin, Chengwei Zhang and Keshu Liu and has published in prestigious journals such as Physical Chemistry Chemical Physics, IEEE Access and IEEE Journal on Selected Areas in Communications.

In The Last Decade

Yayu Gao

54 papers receiving 456 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yayu Gao China 13 373 306 33 28 26 56 481
Rajarajan Sivaraj United States 8 327 0.9× 358 1.2× 28 0.8× 28 1.0× 14 0.5× 13 431
Muhammad Azfar Yaqub South Korea 12 443 1.2× 261 0.9× 16 0.5× 23 0.8× 25 1.0× 38 531
Tatiana K. Madsen Denmark 12 262 0.7× 243 0.8× 21 0.6× 23 0.8× 28 1.1× 59 394
Luiz Magalhães Brazil 11 475 1.3× 304 1.0× 43 1.3× 13 0.5× 15 0.6× 30 541
Ruhani Ab Rahman Malaysia 11 265 0.7× 211 0.7× 29 0.9× 19 0.7× 47 1.8× 48 369
Shao-Chou Hung Taiwan 12 266 0.7× 299 1.0× 29 0.9× 15 0.5× 30 1.2× 19 388
Jordi Casademont Spain 12 411 1.1× 381 1.2× 61 1.8× 13 0.5× 38 1.5× 55 539
Ho Ting Cheng Canada 12 621 1.7× 538 1.8× 22 0.7× 38 1.4× 17 0.7× 27 743
Lyes Khelladi Algeria 6 365 1.0× 174 0.6× 26 0.8× 16 0.6× 17 0.7× 11 455
Yuyi Sun China 6 177 0.5× 248 0.8× 60 1.8× 28 1.0× 19 0.7× 12 352

Countries citing papers authored by Yayu Gao

Since Specialization
Citations

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

Fields of papers citing papers by Yayu Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yayu Gao

This figure shows the co-authorship network connecting the top 25 collaborators of Yayu Gao. A scholar is included among the top collaborators of Yayu Gao 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 Yayu Gao. Yayu Gao 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.
Gao, Yayu, et al.. (2025). Latency Optimal Traffic-to-Link Allocation for MLO/SLO Coexistence in Wi-Fi 7. IEEE Journal on Selected Areas in Communications. 43(11). 3633–3649.
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Gao, Yayu, et al.. (2024). WiFi 7 With Different Multi-Link Channel Access Schemes: Modeling, Fairness and Optimization. IEEE Transactions on Communications. 72(10). 6225–6236. 4 indexed citations
6.
Sun, Xinghua, et al.. (2023). Spectrum sharing mechanisms in the unlicensed band: Performance limit and comparison. IET Communications. 17(8). 999–1011. 2 indexed citations
7.
Sun, Xinghua, et al.. (2023). Fair and Efficient Spectrum Sharing in Unlicensed Bands: Does Number of Links Matter?. IEEE Transactions on Vehicular Technology. 72(7). 9459–9471. 5 indexed citations
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Wu, Yuliang, et al.. (2020). Tandem solar cells efficiency prediction and optimization via deep learning. Physical Chemistry Chemical Physics. 23(4). 2991–2998. 13 indexed citations
10.
Zhou, Chenming, et al.. (2020). A Comprehensive Detection Approach of Nmap: Principles, Rules and Experiments. 64–71. 16 indexed citations
11.
Gao, Yayu & Sumit Roy. (2020). Achieving Proportional Fairness for LTE-LAA and Wi-Fi Coexistence in Unlicensed Spectrum. IEEE Transactions on Wireless Communications. 19(5). 3390–3404. 24 indexed citations
12.
Zhou, Chenming, et al.. (2020). An Intelligent Traffic Signal Control System Based on Deep Reinforcement Learning. 255–259. 1 indexed citations
13.
Manzoor, Sohaib, et al.. (2020). A Systematic Study of IEEE 802.11 DCF Network Optimization From Theory to Testbed. IEEE Access. 8. 154114–154132. 12 indexed citations
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Zhang, Jin, et al.. (2019). Deep Learning Wi-Fi Channel State Information for Fall Detection. 1–2. 7 indexed citations
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Gao, Yayu, et al.. (2018). Improving a Software/Hardware Integrated Computer Networking Laboratory Course. 1189–1192. 5 indexed citations
18.
Gao, Yayu, Xinghua Sun, & Lin Dai. (2018). Sum Rate Optimization of Multi-Standard IEEE 802.11 WLANs. IEEE Transactions on Communications. 67(4). 3055–3068. 14 indexed citations
19.
Gao, Yayu & Lin Dai. (2013). Optimal Downlink/Uplink Throughput Allocation for IEEE 802.11 DCF Networks. IEEE Wireless Communications Letters. 2(6). 627–630. 16 indexed citations
20.
Gao, Yayu & Lin Dai. (2011). On the throughput of CSMA. 1–4. 3 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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