Xiaofei Wang

11.2k total citations · 5 hit papers
328 papers, 7.9k citations indexed

About

Xiaofei Wang is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Information Systems. According to data from OpenAlex, Xiaofei Wang has authored 328 papers receiving a total of 7.9k indexed citations (citations by other indexed papers that have themselves been cited), including 176 papers in Computer Networks and Communications, 74 papers in Electrical and Electronic Engineering and 64 papers in Information Systems. Recurrent topics in Xiaofei Wang's work include IoT and Edge/Fog Computing (74 papers), Caching and Content Delivery (70 papers) and Opportunistic and Delay-Tolerant Networks (42 papers). Xiaofei Wang is often cited by papers focused on IoT and Edge/Fog Computing (74 papers), Caching and Content Delivery (70 papers) and Opportunistic and Delay-Tolerant Networks (42 papers). Xiaofei Wang collaborates with scholars based in China, Canada and United States. Xiaofei Wang's co-authors include Victor C. M. Leung, Min Chen, Yiwen Han, Xu Chen, Xiuhua Li, Tarik Taleb, Chenyang Wang, Dusit Niyato, Adlen Ksentini and Xueqiang Yan and has published in prestigious journals such as Angewandte Chemie International Edition, Neuron and SHILAP Revista de lepidopterología.

In The Last Decade

Xiaofei Wang

292 papers receiving 7.6k citations

Hit Papers

Convergence of Edge Computing and Deep Lear... 2014 2026 2018 2022 2020 2014 2019 2020 2022 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
Xiaofei Wang China 39 5.0k 2.2k 1.8k 1.4k 974 328 7.9k
Xiaojie Wang China 46 3.8k 0.8× 2.8k 1.3× 1.4k 0.8× 1.4k 1.0× 790 0.8× 209 7.3k
Huansheng Ning China 49 3.9k 0.8× 2.1k 1.0× 1.7k 0.9× 2.3k 1.7× 1.2k 1.2× 295 8.3k
Qun Li China 54 6.3k 1.3× 3.4k 1.6× 1.9k 1.0× 2.0k 1.5× 1.4k 1.5× 366 10.1k
Zhou Su China 54 4.5k 0.9× 3.3k 1.5× 2.1k 1.2× 2.5k 1.8× 830 0.9× 464 9.7k
Honggang Zhang China 44 4.8k 1.0× 3.9k 1.8× 1.2k 0.7× 599 0.4× 547 0.6× 367 8.3k
Jianping Wang China 42 3.2k 0.6× 3.0k 1.4× 1.3k 0.7× 685 0.5× 670 0.7× 547 7.9k
Lei Guo China 47 4.3k 0.9× 2.3k 1.1× 1.4k 0.7× 1.3k 0.9× 954 1.0× 286 7.2k
Dong‐Seong Kim South Korea 37 2.1k 0.4× 1.4k 0.7× 1.9k 1.1× 698 0.5× 904 0.9× 462 5.9k
Jun Li China 44 3.2k 0.6× 3.8k 1.7× 3.3k 1.8× 1.1k 0.8× 745 0.8× 552 9.6k
Mohammed Aledhari United States 12 4.2k 0.8× 2.5k 1.1× 1.2k 0.6× 1.6k 1.1× 755 0.8× 25 6.5k

Countries citing papers authored by Xiaofei Wang

Since Specialization
Citations

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

Fields of papers citing papers by Xiaofei Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaofei Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaofei Wang. A scholar is included among the top collaborators of Xiaofei 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 Xiaofei Wang. Xiaofei 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.
Shen, Shihao, et al.. (2024). EdgeOptimizer: A programmable containerized scheduler of time-critical tasks in Kubernetes-based edge-cloud clusters. Future Generation Computer Systems. 156. 221–230. 10 indexed citations
2.
Jiang, Tao, Lingfeng Gou, Biyu Ren, et al.. (2024). Single-neuron projectomes of mouse paraventricular hypothalamic nucleus oxytocin neurons reveal mutually exclusive projection patterns. Neuron. 112(7). 1081–1099.e7. 25 indexed citations
4.
Zhao, Yunfeng, et al.. (2024). Cur-CoEdge: Curiosity-Driven Collaborative Request Scheduling in Edge-Cloud Systems. 411–420. 2 indexed citations
6.
Ren, Xiaoxu, Hongyang Du, Chao Qiu, et al.. (2024). Dual-Level Resource Provisioning and Heterogeneous Auction for Mobile Metaverse. IEEE Transactions on Mobile Computing. 23(11). 10329–10343. 10 indexed citations
7.
Ren, Xiaoxu, Minrui Xu, Dusit Niyato, et al.. (2024). Building Resilient Web 3.0 Infrastructure With Quantum Information Technologies and Blockchain: An Ambilateral View. Proceedings of the IEEE. 112(11). 1686–1715. 2 indexed citations
8.
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
9.
Wang, Xiaofei. (2024). Sports Celebrity Endorsements: The Promotional Role of Key Opinion Leaders in the Upgrading of the Sports Industry. Journal of Education Humanities and Social Sciences. 27. 46–52.
10.
Xu, Minrui, Xiaoxu Ren, Dusit Niyato, et al.. (2023). When Quantum Information Technologies Meet Blockchain in Web 3.0. IEEE Network. 38(2). 255–263. 32 indexed citations
11.
Sun, Hui, et al.. (2023). A Proactive On-Demand Content Placement Strategy in Edge Intelligent Gateways. IEEE Transactions on Parallel and Distributed Systems. 34(7). 2072–2090. 8 indexed citations
12.
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
13.
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
14.
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
15.
Luo, Tao, et al.. (2022). In-Network Pooling: Contribution-Aware Allocation Optimization for Computing Power Network in B5G/6G Era. IEEE Transactions on Network Science and Engineering. 10(3). 1190–1202. 20 indexed citations
16.
Wang, Xiaofei, et al.. (2022). Fine-Grained Spatio-Temporal Distribution Prediction of Mobile Content Delivery in 5G Ultra-Dense Networks. IEEE Transactions on Mobile Computing. 23(1). 469–482. 9 indexed citations
17.
Liu, Xuan, Xiaofei Wang, Jia Li, & Meimei Chen. (2022). The Effect of Media Richness on the Stability of Physician-Patient Relationships on E-Consultation Platforms. Journal of Global Information Management. 30(1). 1–26. 25 indexed citations
18.
Wang, Xin, et al.. (2022). A Measurement-Driven Analysis and Prediction of Content Propagation in the Device-to-Device Social Networks. IEEE Transactions on Knowledge and Data Engineering. 1–14. 6 indexed citations
19.
Wang, Xiaofei, Xiaoxu Ren, Chao Qiu, et al.. (2022). Integrating Edge Intelligence and Blockchain: What, Why, and How. IEEE Communications Surveys & Tutorials. 24(4). 2193–2229. 55 indexed citations
20.
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

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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