Chenyang Wang

2.2k total citations · 2 hit papers
39 papers, 1.6k citations indexed

About

Chenyang Wang is a scholar working on Computer Networks and Communications, Information Systems and Artificial Intelligence. According to data from OpenAlex, Chenyang Wang has authored 39 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Computer Networks and Communications, 7 papers in Information Systems and 7 papers in Artificial Intelligence. Recurrent topics in Chenyang Wang's work include Caching and Content Delivery (19 papers), IoT and Edge/Fog Computing (12 papers) and Opportunistic and Delay-Tolerant Networks (12 papers). Chenyang Wang is often cited by papers focused on Caching and Content Delivery (19 papers), IoT and Edge/Fog Computing (12 papers) and Opportunistic and Delay-Tolerant Networks (12 papers). Chenyang Wang collaborates with scholars based in China, Finland and Canada. Chenyang Wang's co-authors include Xiaofei Wang, Yiwen Han, Min Chen, Xu Chen, Qiyang Zhao, Tarik Taleb, Victor C. M. Leung, Xiuhua Li, Chao Qiu and Jiawen Chen and has published in prestigious journals such as IEEE Journal on Selected Areas in Communications, Colloids and Surfaces A Physicochemical and Engineering Aspects and IEEE Internet of Things Journal.

In The Last Decade

Chenyang Wang

36 papers receiving 1.5k citations

Hit Papers

In-Edge AI: Intelligentizing Mobile Edge Computing, Cachi... 2019 2026 2021 2023 2019 2020 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chenyang Wang China 12 1.0k 633 405 346 156 39 1.6k
Yan Sun China 19 692 0.7× 298 0.5× 310 0.8× 336 1.0× 161 1.0× 144 1.3k
Jianfeng Guan China 20 1.4k 1.4× 343 0.5× 652 1.6× 217 0.6× 151 1.0× 148 1.9k
Shiva Raj Pokhrel Australia 24 819 0.8× 764 1.2× 693 1.7× 494 1.4× 83 0.5× 84 1.8k
Guangming Cui China 21 1.0k 1.0× 296 0.5× 265 0.7× 561 1.6× 137 0.9× 43 1.4k
Zicong Hong China 15 808 0.8× 440 0.7× 200 0.5× 748 2.2× 102 0.7× 43 1.3k
Yongfeng Qian China 16 642 0.6× 414 0.7× 263 0.6× 403 1.2× 170 1.1× 26 1.2k
Shuai Yu China 20 977 1.0× 587 0.9× 566 1.4× 246 0.7× 195 1.3× 36 1.7k
Qiyang Zhao United Kingdom 10 539 0.5× 454 0.7× 335 0.8× 148 0.4× 111 0.7× 20 989
Ke Xiao China 18 370 0.4× 400 0.6× 368 0.9× 450 1.3× 134 0.9× 87 1.1k
Du Xu China 14 1.3k 1.3× 471 0.7× 819 2.0× 755 2.2× 139 0.9× 59 1.8k

Countries citing papers authored by Chenyang Wang

Since Specialization
Citations

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

Fields of papers citing papers by Chenyang Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chenyang Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Chenyang Wang. A scholar is included among the top collaborators of Chenyang Wang 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 Chenyang Wang. Chenyang Wang 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.
Ye, Zhao, et al.. (2025). A Knowledge Acquisition Method for Consumer Electronics Based on Triadic Hesitant Fuzzy Concept. IEEE Transactions on Consumer Electronics. 71(2). 7014–7023.
2.
Gao, Zhen, Shuang Liu, Chenyang Wang, et al.. (2025). Cloud-edge-end integrated Artificial intelligence based on ensemble learning. Computer Communications. 235. 108103–108103. 2 indexed citations
3.
Feng, Weijia, Yichen Zhu, Chenyang Wang, et al.. (2024). Exploring Collaborative Diffusion Model Inferring for AIGC-Enabled Edge Services. IEEE Transactions on Cognitive Communications and Networking. 11(2). 946–960. 2 indexed citations
4.
Sun, Chuan, Xiuhua Li, Chenyang Wang, et al.. (2024). Hierarchical Deep Reinforcement Learning for Joint Service Caching and Computation Offloading in Mobile Edge-Cloud Computing. IEEE Transactions on Services Computing. 17(4). 1548–1564. 14 indexed citations
5.
Wang, Chenyang, Hao Yu, Xiuhua Li, et al.. (2024). Dependency-Aware Microservice Deployment for Edge Computing: A Deep Reinforcement Learning Approach With Network Representation. IEEE Transactions on Mobile Computing. 23(12). 14737–14753. 10 indexed citations
6.
Zhu, Xiaoqiang, Jiqiang Liu, Tao Zhang, et al.. (2024). CPPU: Policy Space Diversity for Informative Path Planning and GAI-Enabled Updating CSI in ISAC. IEEE Transactions on Cognitive Communications and Networking. 11(2). 777–790. 1 indexed citations
7.
Yu, Hao, Ming Zhao, Chenyang Wang, & Tarik Taleb. (2023). Network Slice Mobility for 6G Networks by Exploiting User and Network Prediction. 4905–4911. 6 indexed citations
8.
Wang, Chenyang, et al.. (2022). Deep Reinforcement Learning for Dependency-aware Microservice Deployment in Edge Computing. GLOBECOM 2022 - 2022 IEEE Global Communications Conference. 5141–5146. 6 indexed citations
9.
Chen, Yan, Yanjing Sun, Chenyang Wang, & Tarik Taleb. (2022). Dynamic Task Allocation and Service Migration in Edge-Cloud IoT System Based on Deep Reinforcement Learning. IEEE Internet of Things Journal. 9(18). 16742–16757. 43 indexed citations
10.
Wang, Chenyang, et al.. (2022). A Hybrid Multimodal Data Fusion-Based Method for Identifying Gambling Websites. Electronics. 11(16). 2489–2489. 13 indexed citations
11.
Wang, Chenyang, et al.. (2021). SimEdgeIntel: A open-source simulation platform for resource management in edge intelligence. Journal of Systems Architecture. 115. 102016–102016. 21 indexed citations
12.
13.
Chen, Jiawen, et al.. (2021). Multitask Offloading Strategy Optimization Based on Directed Acyclic Graphs for Edge Computing. IEEE Internet of Things Journal. 9(12). 9367–9378. 92 indexed citations
14.
Zhao, Yiwei, Chenyang Wang, Xiaofei Wang, et al.. (2020). Edge Caching Replacement Optimization for D2D Wireless Networks via Weighted Distributed DQN. Aaltodoc (Aalto University). 1–6. 16 indexed citations
15.
Zhang, Heng, et al.. (2020). D2D-LSTM: LSTM-Based Path Prediction of Content Diffusion Tree in Device-to-Device Social Networks. Proceedings of the AAAI Conference on Artificial Intelligence. 34(1). 295–302. 8 indexed citations
16.
Wang, Chenyang, et al.. (2019). Satisfaction, Reading and Learning of Primary School Students to Use Electronic Textbooks. Frontiers in Educational Research. 2(3). 1 indexed citations
17.
Wang, Chenyang, et al.. (2019). Edge Caching for D2D Enabled Hierarchical Wireless Networks with Deep Reinforcement Learning. Wireless Communications and Mobile Computing. 2019. 1–12. 9 indexed citations
18.
Wang, Xiaofei, Yiwen Han, Chenyang Wang, et al.. (2019). In-Edge AI: Intelligentizing Mobile Edge Computing, Caching and Communication by Federated Learning. IEEE Network. 33(5). 156–165. 765 indexed citations breakdown →
19.
Wang, Chenyang, et al.. (2018). Q-Learning Based Edge Caching Optimization for D2D Enabled Hierarchical Wireless Networks. 55–63. 11 indexed citations
20.
Liu, Ping, Peiyan Yuan, & Chenyang Wang. (2017). A Socially Aware Routing Protocol in Mobile Opportunistic Networks. Journal of Communications. 4 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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