Chuan Sun

899 total citations
35 papers, 604 citations indexed

About

Chuan Sun is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Chuan Sun has authored 35 papers receiving a total of 604 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Networks and Communications, 15 papers in Electrical and Electronic Engineering and 13 papers in Artificial Intelligence. Recurrent topics in Chuan Sun's work include IoT and Edge/Fog Computing (12 papers), Caching and Content Delivery (7 papers) and Recommender Systems and Techniques (5 papers). Chuan Sun is often cited by papers focused on IoT and Edge/Fog Computing (12 papers), Caching and Content Delivery (7 papers) and Recommender Systems and Techniques (5 papers). Chuan Sun collaborates with scholars based in China, Canada and Singapore. Chuan Sun's co-authors include Xiuhua Li, Victor C. M. Leung, Xiaofei Wang, Junhao Wen, Qilin Fan, Xiongwei Wu, Xiaohan Yuan, Zidong Wei, Pei Kang Shen and Hui Li and has published in prestigious journals such as Scientific Reports, Electrochimica Acta and IEEE Communications Surveys & Tutorials.

In The Last Decade

Chuan Sun

32 papers receiving 589 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chuan Sun China 14 267 213 152 118 79 35 604
Masaaki Kondo Japan 19 459 1.7× 457 2.1× 127 0.8× 147 1.2× 89 1.1× 99 1.0k
Dongyu Wang China 15 355 1.3× 331 1.6× 62 0.4× 69 0.6× 55 0.7× 74 637
Suherman Suherman Indonesia 13 82 0.3× 279 1.3× 106 0.7× 110 0.9× 99 1.3× 195 700
Zhuo Li China 15 324 1.2× 358 1.7× 178 1.2× 130 1.1× 41 0.5× 61 811
Javed Iqbal Pakistan 17 285 1.1× 373 1.8× 68 0.4× 43 0.4× 61 0.8× 63 726
Min‐Soo Kim South Korea 11 73 0.3× 283 1.3× 172 1.1× 128 1.1× 74 0.9× 53 670
Zhi Cai China 13 113 0.4× 159 0.7× 89 0.6× 89 0.8× 64 0.8× 77 605
Qixia Zhang China 13 648 2.4× 426 2.0× 64 0.4× 200 1.7× 70 0.9× 27 955
Xiaofei Xing China 16 424 1.6× 191 0.9× 147 1.0× 121 1.0× 40 0.5× 68 695
Xiaowen Dong China 12 268 1.0× 481 2.3× 72 0.5× 101 0.9× 40 0.5× 29 711

Countries citing papers authored by Chuan Sun

Since Specialization
Citations

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

Fields of papers citing papers by Chuan Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chuan Sun

This figure shows the co-authorship network connecting the top 25 collaborators of Chuan Sun. A scholar is included among the top collaborators of Chuan Sun 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 Chuan Sun. Chuan Sun 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.
Li, Xiuhua, Hui Li, Chuan Sun, et al.. (2025). Edge-Enhanced Intelligence: A Comprehensive Survey of Large Language Models and Edge-Cloud Computing Synergy. IEEE Communications Surveys & Tutorials. 28. 1248–1284. 1 indexed citations
2.
Zhao, Q., Chengwei Xu, Chuan Sun, & Yinghua Han. (2025). Smart residential electric vehicle charging and discharging scheduling via multi-agent asynchronous-updating deep reinforcement learning. Computers & Electrical Engineering. 126. 110473–110473.
3.
Yuan, Xiaohan, et al.. (2024). A clustering-based adaptive undersampling ensemble method for highly unbalanced data classification. Applied Soft Computing. 159. 111659–111659. 5 indexed citations
4.
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
5.
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
6.
Yang, Xing, et al.. (2024). Genistein-Chitosan Derivative Nanoparticles for Targeting and Enhancing the Anti-Breast Cancer Effect of Tamoxifen In Vitro. Journal of Pharmaceutical Sciences. 113(8). 2575–2583. 8 indexed citations
7.
Hu, Zhigang, et al.. (2024). A Federated Deep Reinforcement Learning-based Low-power Caching Strategy for Cloud-edge Collaboration. Journal of Grid Computing. 22(1). 2 indexed citations
8.
Sun, Chuan, Xiuhua Li, Junhao Wen, et al.. (2023). Federated Deep Reinforcement Learning for Recommendation-Enabled Edge Caching in Mobile Edge-Cloud Computing Networks. IEEE Journal on Selected Areas in Communications. 41(3). 690–705. 53 indexed citations
9.
Li, Hui, Xiuhua Li, Chuan Sun, et al.. (2023). Intelligent Content Caching and User Association in Mobile Edge Computing Networks for Smart Cities. IEEE Transactions on Network Science and Engineering. 11(1). 994–1007. 16 indexed citations
10.
11.
Sun, Chuan, et al.. (2022). A General Matrix Factorization Framework for Recommender Systems in Multi-access Edge Computing Network. Mobile Networks and Applications. 27(4). 1629–1641. 6 indexed citations
12.
Yuan, Xiaohan, et al.. (2022). A novel early diagnostic framework for chronic diseases with class imbalance. Scientific Reports. 12(1). 8614–8614. 10 indexed citations
13.
Zhao, Ming, Xiuhua Li, Chuan Sun, et al.. (2022). Sleeping Cell Detection for Resiliency Enhancements in 5G/B5G Mobile Edge-Cloud Computing Networks. ACM Transactions on Sensor Networks. 18(3). 1–30. 7 indexed citations
14.
Sun, Chuan, Xiongwei Wu, Xiuhua Li, et al.. (2021). Cooperative Computation Offloading for Multi-Access Edge Computing in 6G Mobile Networks via Soft Actor Critic. IEEE Transactions on Network Science and Engineering. 11(6). 5601–5614. 76 indexed citations
15.
Zhang, Fan, et al.. (2021). Research on Multi-Source Heterogeneous Data Fusion Technology of New Energy Vehicles Under the New Four Modernizations. Journal of Physics Conference Series. 1865(2). 22034–22034. 3 indexed citations
16.
Yuan, Xiaohan, et al.. (2021). A Novel Class Imbalance-oriented Polynomial Neural Network Algorithm for Disease Diagnosis. 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). 2360–2367. 4 indexed citations
17.
Sun, Chuan, Hui Li, Xiuhua Li, et al.. (2020). Task Offloading for End-Edge-Cloud Orchestrated Computing in Mobile Networks. 1–6. 28 indexed citations
18.
Sun, Chuan, et al.. (2020). Convergence of Recommender Systems and Edge Computing: A Comprehensive Survey. IEEE Access. 8. 47118–47132. 24 indexed citations
19.
Liu, Youquan, et al.. (2019). A Machine Learning-Based QSAR Model for Benzimidazole Derivatives as Corrosion Inhibitors by Incorporating Comprehensive Feature Selection. Interdisciplinary Sciences Computational Life Sciences. 11(4). 738–747. 39 indexed citations
20.
Wei, Zidong, et al.. (2006). Water electrolysis on carbon electrodes enhanced by surfactant. Electrochimica Acta. 52(9). 3323–3329. 51 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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