Yangcheng Zhou

751 total citations · 1 hit paper
6 papers, 480 citations indexed

About

Yangcheng Zhou is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Yangcheng Zhou has authored 6 papers receiving a total of 480 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Networks and Communications, 3 papers in Electrical and Electronic Engineering and 1 paper in Computer Vision and Pattern Recognition. Recurrent topics in Yangcheng Zhou's work include Caching and Content Delivery (4 papers), Advanced Wireless Communication Technologies (2 papers) and Opportunistic and Delay-Tolerant Networks (2 papers). Yangcheng Zhou is often cited by papers focused on Caching and Content Delivery (4 papers), Advanced Wireless Communication Technologies (2 papers) and Opportunistic and Delay-Tolerant Networks (2 papers). Yangcheng Zhou collaborates with scholars based in China, United States and Switzerland. Yangcheng Zhou's co-authors include Mugen Peng, Yaohua Sun, Shiwen Mao, Shi Yan, Mahmoud Daneshmand, Wei Liu, Chenxu Li, Qiong Liu and Wenbai Chen and has published in prestigious journals such as IEEE Communications Surveys & Tutorials, IEEE Transactions on Communications and IEEE Internet of Things Journal.

In The Last Decade

Yangcheng Zhou

6 papers receiving 468 citations

Hit Papers

Application of Machine Learning in Wireless Networks: Key... 2019 2026 2021 2023 2019 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
Yangcheng Zhou China 5 298 272 104 61 22 6 480
Yanyu Cheng China 11 274 0.9× 259 1.0× 116 1.1× 89 1.5× 28 1.3× 31 535
Hatim Chergui Spain 12 329 1.1× 318 1.2× 101 1.0× 40 0.7× 16 0.7× 33 546
Abbas Mirzaei Iran 5 229 0.8× 217 0.8× 68 0.7× 49 0.8× 30 1.4× 10 385
Lihua Yang China 10 364 1.2× 202 0.7× 72 0.7× 58 1.0× 16 0.7× 28 474
Akram A. Almohammedi Malaysia 12 275 0.9× 172 0.6× 60 0.6× 45 0.7× 28 1.3× 34 391
Maryam Bavaghar Iran 6 227 0.8× 231 0.8× 70 0.7× 45 0.7× 35 1.6× 7 392
Yanli Qi China 8 248 0.8× 276 1.0× 80 0.8× 81 1.3× 50 2.3× 16 474
Ashish Rauniyar Norway 12 264 0.9× 145 0.5× 105 1.0× 25 0.4× 20 0.9× 38 489
Yuan-ai Xie China 10 234 0.8× 162 0.6× 65 0.6× 74 1.2× 26 1.2× 28 359

Countries citing papers authored by Yangcheng Zhou

Since Specialization
Citations

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

Fields of papers citing papers by Yangcheng Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yangcheng Zhou

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

All Works

6 of 6 papers shown
1.
Liu, Qiong, et al.. (2022). RGCFace: Regularized Global Center loss for Deep Facial Expression Recognition. 292–297. 1 indexed citations
2.
Yan, Shi, et al.. (2020). Machine-Learning Approach for User Association and Content Placement in Fog Radio Access Networks. IEEE Internet of Things Journal. 7(10). 9413–9425. 21 indexed citations
3.
Sun, Yaohua, et al.. (2019). Application of Machine Learning in Wireless Networks: Key Techniques and Open Issues. IEEE Communications Surveys & Tutorials. 21(4). 3072–3108. 422 indexed citations breakdown →
4.
Yan, Shi, et al.. (2019). Joint User Access Mode Selection and Content Popularity Prediction in Non-Orthogonal Multiple Access-Based F-RANs. IEEE Transactions on Communications. 68(1). 654–666. 17 indexed citations
5.
Zhou, Yangcheng, Shi Yan, & Mugen Peng. (2019). Content Placement with Unknown Popularity in Fog Radio Access Networks. 361–367. 7 indexed citations
6.
Zhou, Yangcheng, Mugen Peng, Shi Yan, & Yaohua Sun. (2018). Deep Reinforcement Learning Based Coded Caching Scheme in Fog Radio Access Networks. 59. 309–313. 12 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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