Dapeng Wu

4.4k total citations · 1 hit paper
219 papers, 3.3k citations indexed

About

Dapeng Wu is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Dapeng Wu has authored 219 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 130 papers in Computer Networks and Communications, 82 papers in Electrical and Electronic Engineering and 38 papers in Artificial Intelligence. Recurrent topics in Dapeng Wu's work include Opportunistic and Delay-Tolerant Networks (44 papers), IoT and Edge/Fog Computing (40 papers) and Caching and Content Delivery (36 papers). Dapeng Wu is often cited by papers focused on Opportunistic and Delay-Tolerant Networks (44 papers), IoT and Edge/Fog Computing (40 papers) and Caching and Content Delivery (36 papers). Dapeng Wu collaborates with scholars based in China, United States and Russia. Dapeng Wu's co-authors include Ruyan Wang, Honggang Wang, Junjie Yan, Puning Zhang, Zhigang Yang, Yaping Cui, Boran Yang, Shaoen Wu, Dalei Wu and Qing Yang and has published in prestigious journals such as Journal of Materials Chemistry A, IEEE Transactions on Geoscience and Remote Sensing and IEEE Access.

In The Last Decade

Dapeng Wu

188 papers receiving 3.2k citations

Hit Papers

Virtual-Reality Interpromotion Technology for Metaverse: ... 2023 2026 2024 2025 2023 20 40 60

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dapeng Wu China 32 1.8k 1.1k 975 639 400 219 3.3k
Lei Wang China 34 1.8k 1.0× 1.9k 1.6× 796 0.8× 609 1.0× 375 0.9× 281 3.9k
Matthias Hollick Germany 28 1.7k 0.9× 1.8k 1.6× 693 0.7× 284 0.4× 253 0.6× 242 3.4k
Changqiao Xu China 31 2.7k 1.5× 1.2k 1.1× 518 0.5× 396 0.6× 565 1.4× 232 3.5k
Libing Wu China 33 1.3k 0.7× 782 0.7× 1.5k 1.6× 1.4k 2.1× 369 0.9× 169 3.3k
Abderrahim Benslimane France 35 2.6k 1.5× 2.0k 1.8× 832 0.9× 642 1.0× 358 0.9× 189 4.1k
Liang Zhou China 34 2.4k 1.3× 1.9k 1.6× 431 0.4× 370 0.6× 747 1.9× 229 4.0k
Liusheng Huang China 38 2.7k 1.5× 1.6k 1.4× 2.4k 2.4× 931 1.5× 742 1.9× 410 5.9k
Wei Bao China 21 1.5k 0.8× 1.3k 1.1× 1.0k 1.1× 314 0.5× 416 1.0× 183 3.0k
He Li China 24 1.6k 0.9× 927 0.8× 627 0.6× 536 0.8× 369 0.9× 112 2.7k
Ren‐Hung Hwang Taiwan 25 1.6k 0.9× 962 0.8× 681 0.7× 348 0.5× 205 0.5× 238 2.5k

Countries citing papers authored by Dapeng Wu

Since Specialization
Citations

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

Fields of papers citing papers by Dapeng Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dapeng Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Dapeng Wu. A scholar is included among the top collaborators of Dapeng Wu 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 Dapeng Wu. Dapeng Wu 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
2.
Cui, Yaping, Pan Wang, Dapeng Wu, et al.. (2025). Online Auction for Federal Learning Client Selection in IoV. IEEE Transactions on Intelligent Transportation Systems. 26(6). 8021–8033.
3.
Wu, Dapeng, et al.. (2024). User preference aware hierarchical edge-user cooperative caching strategy. China Communications. 21(6). 69–86.
4.
Wang, Ruyan, et al.. (2024). Secure Wireless Networks: AI-Driven UAV Data Relay. IEEE Transactions on Consumer Electronics. 70(4). 7077–7086. 1 indexed citations
5.
Wu, Dapeng, et al.. (2024). A Robust Multisource Remote Sensing Image Matching Method Utilizing Attention and Feature Enhancement Against Noise Interference. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–21. 4 indexed citations
6.
He, Peng, et al.. (2024). Social-Aware Collaborative Caching in Edge-User Networks: A Joint Multi-Graph Approach. IEEE Transactions on Network Science and Engineering. 11(5). 4938–4950. 2 indexed citations
7.
Cui, Yaping, et al.. (2024). RIS-Assisted Unsupervised Beamforming in Internet of Vehicles. IEEE Transactions on Vehicular Technology. 74(1). 1385–1398. 2 indexed citations
8.
Wang, Ruyan, et al.. (2023). RFLPV: A robust federated learning scheme with privacy preservation and verifiable aggregation in IoMT. Information Fusion. 102. 102029–102029. 22 indexed citations
9.
Zhang, Xue, Haoran Xu, Huanhuan Liu, et al.. (2023). Carbon-coated SnO anchored on phosphorus-doped carbon framework as high performance anode of lithium-ion batteries. Ceramics International. 50(2). 3641–3652. 8 indexed citations
10.
Cui, Yaping, et al.. (2023). URLLC-eMBB hierarchical network slicing for Internet of Vehicles: An AoI-sensitive approach. Vehicular Communications. 43. 100648–100648. 5 indexed citations
11.
He, Peng, Linhai Wang, Yaping Cui, Ruyan Wang, & Dapeng Wu. (2023). Unsupervised feature learning based on autoencoder for epileptic seizures prediction. Applied Intelligence. 53(18). 20766–20784. 10 indexed citations
12.
He, Peng, Jiaojiao Hu, Xinyue Fan, et al.. (2023). Load-Balanced Collaborative Offloading for LEO Satellite Networks. IEEE Internet of Things Journal. 10(21). 19075–19086. 15 indexed citations
13.
Zhang, Hong, et al.. (2023). Resource-Aware Video Delivery in Fog Radio Access Networks: A Joint QoE and QoS Perspective. IEEE Transactions on Vehicular Technology. 72(5). 6669–6682. 7 indexed citations
14.
Li, Zhidu, et al.. (2022). Fairness-Aware Federated Learning With Unreliable Links in Resource-Constrained Internet of Things. IEEE Internet of Things Journal. 9(18). 17359–17371. 36 indexed citations
15.
Wu, Dapeng, et al.. (2022). Delay-Aware Edge-Terminal Collaboration in Green Internet of Vehicles: A Multiagent Soft Actor-Critic Approach. IEEE Transactions on Green Communications and Networking. 7(2). 1090–1102. 19 indexed citations
16.
Wu, Dapeng, Hong Zhang, Zhidu Li, et al.. (2022). QoE-Aware Video Delivery in Multimedia IoT Network with Multiple Eavesdroppers. Security and Communication Networks. 2022. 1–11.
17.
Wu, Dapeng, et al.. (2022). Adaptive Bandwidth Prediction and Smoothing Glitches in Low-Latency Live Streaming. Security and Communication Networks. 2022. 1–13. 2 indexed citations
18.
Wang, Ruyan, Zhidu Li, Dapeng Wu, et al.. (2021). Multi-agent reinforcement learning for edge information sharing in vehicular networks. Digital Communications and Networks. 8(3). 267–277. 17 indexed citations
19.
Wu, Dapeng, et al.. (2021). Edge-Cloud Collaboration Enabled Video Service Enhancement: A Hybrid Human-Artificial Intelligence Scheme. IEEE Transactions on Multimedia. 23. 2208–2221. 53 indexed citations
20.
Li, Zhidu, Ni Zhu, Dapeng Wu, Honggang Wang, & Ruyan Wang. (2021). Energy-Efficient Mobile Edge Computing Under Delay Constraints. IEEE Transactions on Green Communications and Networking. 6(2). 776–786. 36 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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