Ning Lu

4.1k total citations · 2 hit papers
71 papers, 3.0k citations indexed

About

Ning Lu is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Aerospace Engineering. According to data from OpenAlex, Ning Lu has authored 71 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Computer Networks and Communications, 46 papers in Electrical and Electronic Engineering and 15 papers in Aerospace Engineering. Recurrent topics in Ning Lu's work include Vehicular Ad Hoc Networks (VANETs) (16 papers), UAV Applications and Optimization (13 papers) and Cooperative Communication and Network Coding (13 papers). Ning Lu is often cited by papers focused on Vehicular Ad Hoc Networks (VANETs) (16 papers), UAV Applications and Optimization (13 papers) and Cooperative Communication and Network Coding (13 papers). Ning Lu collaborates with scholars based in Canada, China and United States. Ning Lu's co-authors include Xuemin Shen, Nan Cheng, Ning Zhang, J.W. Mark, Yi Zhou, Haibo Zhou, Fan Bai, Wenchao Xu, Weisen Shi and Dan Xiao and has published in prestigious journals such as IEEE Communications Surveys & Tutorials, IEEE Journal on Selected Areas in Communications and IEEE Communications Magazine.

In The Last Decade

Ning Lu

65 papers receiving 2.9k citations

Hit Papers

Connected Vehicles: Solutions and Challenges 2014 2026 2018 2022 2014 2018 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
Ning Lu Canada 25 1.9k 1.7k 656 404 355 71 3.0k
Sidi‐Mohammed Senouci France 33 1.9k 1.0× 2.4k 1.4× 586 0.9× 685 1.7× 259 0.7× 141 3.4k
Jalel Ben‐Othman France 28 1.9k 1.0× 2.5k 1.5× 394 0.6× 458 1.1× 237 0.7× 233 3.7k
Fabrizio Granelli Italy 30 1.9k 1.0× 2.4k 1.4× 410 0.6× 273 0.7× 212 0.6× 259 3.5k
Kejie Lu Puerto Rico 32 2.4k 1.3× 2.2k 1.3× 268 0.4× 576 1.4× 604 1.7× 204 4.2k
Christian Wietfeld Germany 33 2.8k 1.5× 2.0k 1.2× 1.3k 1.9× 260 0.6× 242 0.7× 367 4.3k
Onur Altintas United States 22 2.2k 1.2× 1.6k 0.9× 223 0.3× 205 0.5× 645 1.8× 145 2.8k
Hongzi Zhu China 32 1.5k 0.8× 1.3k 0.8× 230 0.4× 441 1.1× 263 0.7× 118 2.8k
Muhammad Awais Javed Pakistan 24 1.8k 0.9× 1.4k 0.8× 326 0.5× 381 0.9× 152 0.4× 140 2.8k
Abderrahim Benslimane France 35 2.0k 1.1× 2.6k 1.5× 585 0.9× 832 2.1× 264 0.7× 189 4.1k
Ahmed Al‐Dubai United Kingdom 30 1.7k 0.9× 1.9k 1.1× 464 0.7× 430 1.1× 120 0.3× 160 3.4k

Countries citing papers authored by Ning Lu

Since Specialization
Citations

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

Fields of papers citing papers by Ning Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ning Lu

This figure shows the co-authorship network connecting the top 25 collaborators of Ning Lu. A scholar is included among the top collaborators of Ning Lu 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 Lu. Ning Lu 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.
Jiao, Feixiang, et al.. (2025). Dynamic Energy-Aware EV Charging Navigation in Interacting Transportation and Distribution Networks. IEEE Transactions on Intelligent Transportation Systems. 26(4). 4908–4922. 2 indexed citations
2.
Lu, Ning, et al.. (2025). MDVul: A semantic-based complex dependency code vulnerability detection using fusion path. Information Fusion. 125. 103475–103475.
3.
Zhou, Yi, et al.. (2025). Vehicular Multimodal Motion Forecasting With Scenario-Guided Diffusion Probabilistic Models. IEEE Transactions on Vehicular Technology. 74(11). 16962–16977.
4.
Zhou, Yi, et al.. (2024). I2T: From Intention Decoupling to Vehicular Trajectory Prediction Based on Prioriformer Networks. IEEE Transactions on Intelligent Transportation Systems. 25(8). 9411–9426. 4 indexed citations
5.
Qu, Kaige, et al.. (2024). Augmenting Backpressure Scheduling and Routing for Wireless Computing Networks. IEEE Transactions on Network Science and Engineering. 11(6). 6605–6622. 1 indexed citations
6.
Cheng, Nan, Conghao Zhou, Xiucheng Wang, et al.. (2023). Dynamic Neural Network-Based Resource Management for Mobile Edge Computing in 6G Networks. IEEE Transactions on Cognitive Communications and Networking. 10(3). 953–967. 13 indexed citations
7.
Zhou, Yi, Yihan Liu, Nianwen Ning, et al.. (2023). Integrating knowledge representation into traffic prediction: a spatial–temporal graph neural network with adaptive fusion features. Complex & Intelligent Systems. 10(2). 2883–2900. 6 indexed citations
8.
Li, Bin, et al.. (2022). Learning from Delayed Semi-Bandit Feedback under Strong Fairness Guarantees. IEEE INFOCOM 2022 - IEEE Conference on Computer Communications. 1379–1388. 8 indexed citations
9.
Chen, Ziyan, et al.. (2022). Service-Oriented Topology Reconfiguration of UAV Networks with Deep Reinforcement Learning. 753–758. 5 indexed citations
10.
Dai, Minghui, Zhou Su, Qichao Xu, Yuntao Wang, & Ning Lu. (2021). A Trust-Driven Contract Incentive Scheme for Mobile Crowd-Sensing Networks. IEEE Transactions on Vehicular Technology. 71(2). 1794–1806. 44 indexed citations
11.
12.
Li, Kai, Ning Lu, Pei Zhang, Wei Ni, & Eduardo Tovar. (2020). Poster Abstract: Multi-Drone Assisted Internet of Things Testbed Based on Bluetooth 5 Communications. 345–346. 7 indexed citations
13.
Lu, Ning, et al.. (2019). Optimal Scheduling for Unmanned Aerial Vehicle Networks With Flow-Level Dynamics. IEEE Transactions on Mobile Computing. 20(3). 1186–1197. 10 indexed citations
14.
Zhang, Ning, Nan Cheng, Ning Lu, et al.. (2015). Partner selection and incentive mechanism for physical layer security. IEEE Transactions on Wireless Communications. 14(8). 4265–4276. 83 indexed citations
15.
Lu, Ning, et al.. (2014). Vehicular WiFi offloading: Challenges and solutions. Vehicular Communications. 1(1). 13–21. 86 indexed citations
16.
Wang, Miao, Hangguan Shan, Tom H. Luan, et al.. (2014). Asymptotic Throughput Capacity Analysis of VANETs Exploiting Mobility Diversity. IEEE Transactions on Vehicular Technology. 64(9). 4187–4202. 29 indexed citations
17.
Lu, Ning & Xuemin Shen. (2013). Capacity Analysis of Vehicular Communication Networks. Springer briefs in electrical and computer engineering. 9 indexed citations
18.
Zhang, Ning, Ning Lu, Nan Cheng, J.W. Mark, & Xuemin Shen. (2013). Cooperative networking towards secure communications for CRNs. Scholarship at UWindsor (University of Windsor). 1691–1696. 16 indexed citations
19.
Cheng, Nan, Ning Lu, Ning Zhang, Xuemin Shen, & J.W. Mark. (2013). Vehicle-assisted data delivery for smart grid: An optimal stopping approach. 10. 6184–6188. 17 indexed citations
20.
Zhang, Ning, Ning Lu, Rongxing Lu, J.W. Mark, & Xuemin Shen. (2012). Energy-efficient and trust-aware cooperation in cognitive radio networks. 1763–1767. 24 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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