Wenyun Dai

984 total citations · 1 hit paper
27 papers, 661 citations indexed

About

Wenyun Dai is a scholar working on Computer Networks and Communications, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Wenyun Dai has authored 27 papers receiving a total of 661 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computer Networks and Communications, 19 papers in Information Systems and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Wenyun Dai's work include Big Data and Digital Economy (13 papers), Caching and Content Delivery (11 papers) and IoT and Edge/Fog Computing (9 papers). Wenyun Dai is often cited by papers focused on Big Data and Digital Economy (13 papers), Caching and Content Delivery (11 papers) and IoT and Edge/Fog Computing (9 papers). Wenyun Dai collaborates with scholars based in United States, China and Spain. Wenyun Dai's co-authors include Meikang Qiu, Yibin Li, Zhong Ming, Longfei Qiu, Longbin Chen, Athanasios V. Vasilakos, Min Chen, Keke Gai, Haopeng Chen and Ning Jiang and has published in prestigious journals such as IEEE Communications Magazine, IEEE Transactions on Computers and IEEE Systems Journal.

In The Last Decade

Wenyun Dai

26 papers receiving 650 citations

Hit Papers

Privacy Protection for Preventing Data Over-Collection in... 2015 2026 2018 2022 2015 50 100 150 200
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.

  1. Privacy Protection for Preventing Data Over-Collection in Smart City
    2015 213 citations Yibin Li, Wenyun Dai et al. IEEE Transactions on Computers profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wenyun Dai United States 9 385 333 173 83 81 27 661
Jan Hajný Czechia 12 269 0.7× 227 0.7× 334 1.9× 120 1.4× 82 1.0× 88 636
Raja Naeem Akram United Kingdom 13 244 0.6× 256 0.8× 201 1.2× 132 1.6× 69 0.9× 58 548
Songyou Xie China 10 259 0.7× 194 0.6× 178 1.0× 82 1.0× 39 0.5× 14 479
Tuomas Aura Finland 18 202 0.5× 523 1.6× 242 1.4× 193 2.3× 52 0.6× 61 750
Luis C. E. Bona Brazil 11 450 1.2× 557 1.7× 179 1.0× 60 0.7× 50 0.6× 57 718
Hanan M. Shukur Iraq 13 355 0.9× 292 0.9× 95 0.5× 53 0.6× 102 1.3× 31 628
Jong Sou Park South Korea 15 371 1.0× 562 1.7× 207 1.2× 76 0.9× 46 0.6× 70 773
Patrick Bellot France 7 504 1.3× 380 1.1× 125 0.7× 44 0.5× 50 0.6× 16 609
Xiangyun Tang China 11 322 0.8× 290 0.9× 346 2.0× 79 1.0× 57 0.7× 28 649
Eda Marchetti Italy 14 369 1.0× 312 0.9× 184 1.1× 54 0.7× 31 0.4× 91 690

Countries citing papers authored by Wenyun Dai

Since Specialization
Citations

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

Fields of papers citing papers by Wenyun Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wenyun Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Wenyun Dai. A scholar is included among the top collaborators of Wenyun Dai 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 Wenyun Dai. Wenyun Dai 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.
Dai, Wenyun, et al.. (2024). A High Performance AI-Powered Cache Mechanism for IoT Devices. 64–72. 1 indexed citations
2.
Dai, Wenyun & Longbin Chen. (2022). A Cloud-based Mobile Privacy Protection System with Efficient Cache Mechanism. Journal of Computing and Information Technology. 29(4). 219–234. 1 indexed citations
3.
Dai, Wenyun, et al.. (2020). DASC: A Privacy-Protected Data Access System with Cache Mechanism for Smartphones. 7. 1–6. 2 indexed citations
4.
Chen, Longbin, Wenyun Dai, Meikang Qiu, & Ning Jiang. (2017). A Design for Scalable and Secure Key-Value Stores. 3. 216–221. 4 indexed citations
5.
Chen, Longbin, Meikang Qiu, Wenyun Dai, & Houcine Hassan. (2017). An efficient cloud storage system for tele-health services. The Journal of Supercomputing. 73(7). 2949–2965. 6 indexed citations
6.
Dai, Wenyun, et al.. (2017). Who Moved My Data? Privacy Protection in Smartphones. IEEE Communications Magazine. 55(1). 20–25. 99 indexed citations
7.
Dai, Wenyun, et al.. (2017). DASS: A Web-Based Fine-Grained Data Access System for Smartphones. 238–243. 7 indexed citations
8.
Chen, Longbin, Wenyun Dai, & Meikang Qiu. (2017). A Greedy Approach for Caching in Distributed Data Stores. 3. 244–249. 3 indexed citations
9.
Chen, Longbin, Wenyun Dai, Meikang Qiu, Meiqin Liu, & Zenggang Xiong. (2017). Flexible Consistency for Distributed Storage Systems. 41. 232–237. 1 indexed citations
10.
Li, Yibin, Keke Gai, Meikang Qiu, Wenyun Dai, & Meiqin Liu. (2016). Adaptive human detection approach using FPGA‐based parallel architecture in reconfigurable hardware. Concurrency and Computation Practice and Experience. 29(14). 4 indexed citations
11.
Dai, Wenyun, et al.. (2016). Cloud Infrastructure Resource Allocation for Big Data Applications. IEEE Transactions on Big Data. 4(3). 313–324. 83 indexed citations
12.
Chen, Longbin, Meikang Qiu, Wenyun Dai, & Ning Jiang. (2016). Supporting high-quality video streaming with SDN-based CDNs. The Journal of Supercomputing. 73(8). 3547–3561. 13 indexed citations
13.
Qiu, Meikang, Wenyun Dai, & Keke Gai. (2016). Mobile Applications Development with Android. 2 indexed citations
14.
Gai, Keke, Meikang Qiu, Hui Zhao, & Wenyun Dai. (2015). Anti-Counterfeit Scheme Using Monte Carlo Simulation for E-commerce in Cloud Systems. 74–79. 14 indexed citations
15.
He, Xin, et al.. (2015). Static Node Center Hexagonal Deployment in Hybrid Crowd Sensing. 6. 515–520. 2 indexed citations
16.
Dai, Wenyun, Haopeng Chen, & Wenting Wang. (2015). RaHeC: A Mechanism of Resource Management for Heterogeneous Clouds. 40–45. 7 indexed citations
17.
Qiu, Meikang, Yunjiang Jiang, & Wenyun Dai. (2015). Cost Minimization for Heterogeneous Systems with Gaussian Distribution Execution Time. 547–552. 6 indexed citations
18.
Li, Yibin, Min Chen, Wenyun Dai, & Meikang Qiu. (2015). Energy Optimization With Dynamic Task Scheduling Mobile Cloud Computing. IEEE Systems Journal. 11(1). 96–105. 78 indexed citations
19.
Li, Yibin, Wenyun Dai, Zhong Ming, & Meikang Qiu. (2015). Privacy Protection for Preventing Data Over-Collection in Smart City. IEEE Transactions on Computers. 65(5). 1339–1350. 213 indexed citations breakdown →
20.
Chen, Haopeng, Wenyun Dai, Wenting Wang, Xi Chen, & Yisheng Wang. (2014). A CLOUD-FEDERATION-ORIENTED MECHANISM OF COMPUTING RESOURCE MANAGEMENT. 2(2). 44–58. 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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