Ning Wang

3.4k total citations · 1 hit paper
137 papers, 2.4k citations indexed

About

Ning Wang is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Ning Wang has authored 137 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 119 papers in Computer Networks and Communications, 63 papers in Electrical and Electronic Engineering and 18 papers in Computer Vision and Pattern Recognition. Recurrent topics in Ning Wang's work include Software-Defined Networks and 5G (51 papers), Caching and Content Delivery (48 papers) and Network Traffic and Congestion Control (31 papers). Ning Wang is often cited by papers focused on Software-Defined Networks and 5G (51 papers), Caching and Content Delivery (48 papers) and Network Traffic and Congestion Control (31 papers). Ning Wang collaborates with scholars based in United Kingdom, China and United States. Ning Wang's co-authors include Rahim Tafazolli, George Pavlou, Chang Ge, Michael Howarth, Zhili Sun, Serdar Vural, Wei Koong Chai, Klaus Moessner, Lee Gillam and Kaushik Halder and has published in prestigious journals such as IEEE Communications Surveys & Tutorials, IEEE Access and IEEE Journal on Selected Areas in Communications.

In The Last Decade

Ning Wang

128 papers receiving 2.3k citations

Hit Papers

A Taxonomy and Survey of Edge Cloud Computing for Intelli... 2021 2026 2022 2024 2021 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ning Wang United Kingdom 25 1.8k 1.0k 293 271 256 137 2.4k
Yong Xiao China 24 1.4k 0.8× 1.2k 1.2× 378 1.3× 153 0.6× 165 0.6× 94 2.2k
Qimei Cui China 25 1.7k 0.9× 1.9k 1.8× 206 0.7× 344 1.3× 137 0.5× 285 2.7k
Wanjiun Liao Taiwan 31 2.5k 1.4× 1.9k 1.8× 165 0.6× 151 0.6× 219 0.9× 220 3.1k
Nguyen Cong Luong Singapore 10 1.1k 0.6× 906 0.9× 315 1.1× 279 1.0× 126 0.5× 13 1.8k
Xing Zhang China 24 2.1k 1.1× 1.4k 1.4× 320 1.1× 467 1.7× 181 0.7× 126 2.6k
Fan Wu China 20 808 0.4× 783 0.8× 286 1.0× 203 0.7× 158 0.6× 133 1.7k
Daniele Tarchi Italy 23 1.4k 0.7× 1.1k 1.1× 221 0.8× 492 1.8× 110 0.4× 152 1.9k
Chuan Heng Foh United Kingdom 29 2.9k 1.6× 1.9k 1.8× 340 1.2× 304 1.1× 176 0.7× 195 3.7k
Junjuan Xia China 34 1.5k 0.8× 1.7k 1.7× 285 1.0× 538 2.0× 186 0.7× 66 2.6k
Shuo Wang China 17 1.1k 0.6× 789 0.8× 300 1.0× 158 0.6× 138 0.5× 127 1.7k

Countries citing papers authored by Ning Wang

Since Specialization
Citations

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

Fields of papers citing papers by Ning Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ning Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Ning Wang. A scholar is included among the top collaborators of Ning 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 Ning Wang. Ning 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.
Li, Peizheng, Yiran Teng, Yulei Wu, et al.. (2025). Toward Practical Operation of Deep Reinforcement Learning Agents in Real-World Network Management at Open RAN Edges. IEEE Communications Magazine. 64(2). 134–140.
2.
Liu, Xueshan, et al.. (2025). Routing and Scheduling of Smart Mobile Power Banks for Mobile Charging and Vehicle-to-Grid Services. IEEE Transactions on Transportation Electrification. 11(3). 8054–8064. 3 indexed citations
3.
Yang, Jun, et al.. (2025). A dynamic multi-task selective execution policy considering stochastic dependence between degradation and random shocks by deep reinforcement learning. Reliability Engineering & System Safety. 257. 110844–110844. 1 indexed citations
4.
Wang, Ning, et al.. (2024). User-Intent Aware Transport-Layer Intelligence for Frame Synchronisation in Multi-Party XR Application. Bristol Research (University of Bristol). 1–6.
5.
Wang, Ning, et al.. (2024). NFScaler: AI-Powered 5G-and-Beyond Network Function Scaler for QoS Assurance and Energy Efficiency. Bristol Research (University of Bristol). 213–221.
6.
Wang, Ning, et al.. (2023). AI-Enabled Blockchain Consensus Node Selection in Cluster-Based Vehicular Networks. IEEE Networking Letters. 5(2). 115–119. 12 indexed citations
7.
Wang, Ning, et al.. (2023). A Flexible Service Function Chain Optimisation Scheme Based on Network Topology Clustering. Explore Bristol Research. 5196–5201. 1 indexed citations
8.
Wang, Ning, et al.. (2022). Remote Production for Live Holographic Teleportation Applications in 5G Networks. IEEE Transactions on Broadcasting. 68(2). 451–463. 17 indexed citations
9.
Wang, Ning, et al.. (2022). User Intent Driven Path Switching in Video Delivery - An Edge Computing Based Approach. Bristol Research (University of Bristol). 1–6.
10.
Lu, Shuaibing, et al.. (2022). Online Service Provisioning and Updating in QoS-aware Mobile Edge Computing. 247–254. 1 indexed citations
11.
Gillam, Lee, et al.. (2021). A Taxonomy and Survey of Edge Cloud Computing for Intelligent Transportation Systems and Connected Vehicles. IEEE Transactions on Intelligent Transportation Systems. 23(7). 6206–6221. 211 indexed citations breakdown →
12.
Gao, Zheng, et al.. (2021). Virtual Data-Plane Addressing for SDN-based Space and Terrestrial Network Integration. Bristol Research (University of Bristol). 1–6. 4 indexed citations
13.
Wang, Ning, et al.. (2018). Achieving Robust Mobile Web Content Delivery Performance Based on Multiple Coordinated QUIC Connections. IEEE Access. 6. 11313–11328. 18 indexed citations
14.
Hong, Zhen, et al.. (2016). A tree-based topology construction algorithm with probability distribution and competition in the same layer for wireless sensor network. Peer-to-Peer Networking and Applications. 10(3). 658–669. 10 indexed citations
15.
Miao, Ye, Zhili Sun, Ning Wang, Yue Cao, & Haitham Cruickshank. (2016). Time Efficient Data Collection With Mobile Sink and vMIMO Technique in Wireless Sensor Networks. IEEE Systems Journal. 12(1). 639–647. 32 indexed citations
16.
Lu, Qinghua, Liming Zhu, Xiwei Xu, et al.. (2014). Mechanisms and architectures for tail-tolerant system operations in cloud. IEEE International Conference on Cloud Computing Technology and Science. 18–18. 7 indexed citations
17.
Katsaros, Konstantinos V., et al.. (2014). Information-centric networking for machine-to-machine data delivery: a case study in smart grid applications. IEEE Network. 28(3). 58–64. 71 indexed citations
18.
Wang, Ning, et al.. (2013). Green IGP link weights for energy-efficiency and load-balancing in IP backbone networks. Surrey Research Insight Open Access (The University of Surrey). 1–9. 10 indexed citations
19.
Bęben, Andrzej, Ioannis Psaras, George Pavlou, et al.. (2011). COMET: Content mediator architecture for content-aware networks. Bristol Research (University of Bristol). 1–8. 60 indexed citations
20.
Low, Chor Ping & Ning Wang. (2004). On Group Multicast Routing with Bandwidth Constraint : A Lower Bound and Performance Evaluation. IEICE Transactions on Communications. 87(1). 124–131. 3 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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