Zhouyou Gu

662 total citations · 1 hit paper
7 papers, 445 citations indexed

About

Zhouyou Gu is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Zhouyou Gu has authored 7 papers receiving a total of 445 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Electrical and Electronic Engineering, 5 papers in Computer Networks and Communications and 1 paper in Artificial Intelligence. Recurrent topics in Zhouyou Gu's work include Wireless Networks and Protocols (4 papers), Advanced Wireless Network Optimization (3 papers) and Advanced MIMO Systems Optimization (3 papers). Zhouyou Gu is often cited by papers focused on Wireless Networks and Protocols (4 papers), Advanced Wireless Network Optimization (3 papers) and Advanced MIMO Systems Optimization (3 papers). Zhouyou Gu collaborates with scholars based in Australia, China and United States. Zhouyou Gu's co-authors include Branka Vucetic, Changyang She, Yonghui Li, Chenyang Yang, Chengjian Sun, H. Vincent Poor, Wibowo Hardjawana, Lingyang Song, Rui Dong and Zhanwei Hou and has published in prestigious journals such as Proceedings of the IEEE, IEEE Journal on Selected Areas in Communications and IEEE Transactions on Wireless Communications.

In The Last Decade

Zhouyou Gu

7 papers receiving 443 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A Tutorial on Ultrareliable and Low-Latency Communications in 6G: Integrating Domain Knowledge Into Deep Learning

2021 277 citations Changyang She, Chengjian Sun et al. Proceedings of the IEEE profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Zhouyou Gu Australia	3	321	217	70	52	35	7	445
Yancheng Ji China	14	399 1.2×	245 1.1×	57 0.8×	78 1.5×	37 1.1×	40	553
Yangcheng Zhou China	5	298 0.9×	272 1.3×	104 1.5×	61 1.2×	18 0.5×	6	480
Tiến Hoa Nguyễn Vietnam	11	463 1.4×	198 0.9×	88 1.3×	107 2.1×	16 0.5×	71	573
Kai Yu China	13	305 1.0×	246 1.1×	40 0.6×	105 2.0×	26 0.7×	42	438
Rafay Iqbal Ansari Pakistan	9	364 1.1×	237 1.1×	37 0.5×	86 1.7×	20 0.6×	22	470
Yanzhao Hou China	12	302 0.9×	258 1.2×	64 0.9×	133 2.6×	24 0.7×	60	514
Shaoshuai Fan China	14	275 0.9×	305 1.4×	44 0.6×	76 1.5×	16 0.5×	43	467
Antti Anttonen Finland	12	206 0.6×	196 0.9×	46 0.7×	103 2.0×	20 0.6×	36	379
Xiazhi Lai China	15	481 1.5×	296 1.4×	82 1.2×	115 2.2×	34 1.0×	29	647
Xinsheng Ji China	11	254 0.8×	165 0.8×	70 1.0×	57 1.1×	17 0.5×	52	379

Countries citing papers authored by Zhouyou Gu

Since Specialization

Citations

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

Fields of papers citing papers by Zhouyou Gu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhouyou Gu

This figure shows the co-authorship network connecting the top 25 collaborators of Zhouyou Gu. A scholar is included among the top collaborators of Zhouyou Gu 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 Zhouyou Gu. Zhouyou Gu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

7 of 7 papers shown

1.

Gu, Zhouyou, Wibowo Hardjawana, & Branka Vucetic. (2024). Opportunistic Scheduling Using Statistical Information of Wireless Channels. IEEE Transactions on Wireless Communications. 23(8). 9810–9825. 1 indexed citations

2.

Gu, Zhouyou, et al.. (2024). Graph Representation Learning for Contention and Interference Management in Wireless Networks. IEEE/ACM Transactions on Networking. 32(3). 2479–2494. 1 indexed citations

3.

She, Changyang, Chengjian Sun, Zhouyou Gu, et al.. (2021). A Tutorial on Ultrareliable and Low-Latency Communications in 6G: Integrating Domain Knowledge Into Deep Learning. Proceedings of the IEEE. 109(3). 204–246. 277 indexed citations breakdown →

4.

Gu, Zhouyou, et al.. (2021). Knowledge-Assisted Deep Reinforcement Learning in 5G Scheduler Design: From Theoretical Framework to Implementation. IEEE Journal on Selected Areas in Communications. 39(7). 2014–2028. 63 indexed citations

5.

She, Changyang, Rui Dong, Zhouyou Gu, et al.. (2020). Deep Learning for Ultra-Reliable and Low-Latency Communications in 6G Networks. IEEE Network. 34(5). 219–225. 101 indexed citations

6.

Zhang, Wenhao, et al.. (2020). A Real-Time Vendor-Neutral Programmable Scheduler Architecture for Cellular Networks. 8. 1–6. 1 indexed citations

7.

Gu, Zhouyou, et al.. (2018). Multi-tenant spectrum and SSIDs controller for WiFi networks. 318–323. 1 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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