Ning Lu
- Computer Networks and Communications top 0.5%
- Cooperative Communication and Network Coding 13
- Opportunistic and Delay-Tolerant Networks 13
- Mobile Ad Hoc Networks 9
- Cognitive Radio Networks and Spectrum Sensing 8
-
- Vehicular Ad Hoc Networks (VANETs) 16
- Advanced MIMO Systems Optimization 12
- Wireless Communication Security Techniques 11
- Automotive Engineering top 2%
- Aerospace Engineering top 2%
- UAV Applications and Optimization 13
- Transportation top 5%
- Cited by
- Computer Networks and CommunicationsElectrical and Electronic EngineeringAutomotive Engineering
- Journals
- IEEE Transactions on Vehicular Technology (8 papers)IEEE Internet of Things Journal (6 papers)IEEE Transactions on Intelligent Transportation Systems (4 papers)
- Partner nations
- CanadaChinaUnited States
In The Last Decade
Ning Lu
65 papers receiving 2.9k citations
Hit Papers
Peers
Comparison fields: 5 of 97
- Computer Networks and Communications 1.7k
- Electrical and Electronic Engineering 1.9k
- Automotive Engineering 355
- Aerospace Engineering 656
- Transportation 162
Countries citing papers authored by Ning Lu
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
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
The 25 scholars most cited alongside Ning Lu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 2 | |
| 4 | 2024 | 4 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 0 | |
| 7 | 2024 | 16 | |
| 8 | 2024 | 0 | |
| 9 | 2023 | 13 | |
| 10 | 2023 | 6 | |
| 11 | 2023 | 1 | |
| 12 | 2023 | 12 | |
| 13 | 2022 | 5 | |
| 14 | 2022 | 8 | |
| 15 | 2021 | 44 | |
| 16 | 2019 | 10 | |
| 17 | 2014 | 86 | |
| 18 | 2014 | 29 | |
| 19 | 2013 | 9 | |
| 20 | 2008 | 79 |
About Ning Lu
Ning Lu is a scholar working on Computer Networks and Communications, Transportation and Electrical and Electronic Engineering, having authored 71 papers that have together received 3.0k indexed citations. Recurring topics across this work include Vehicular Ad Hoc Networks (VANETs) (16 papers), UAV Applications and Optimization (13 papers), Cooperative Communication and Network Coding (13 papers), Opportunistic and Delay-Tolerant Networks (13 papers), Advanced MIMO Systems Optimization (12 papers), Wireless Communication Security Techniques (11 papers), Mobile Ad Hoc Networks (9 papers) and Cognitive Radio Networks and Spectrum Sensing (8 papers). The work is most often cited by research in Computer Networks and Communications (1.7k citations), Electrical and Electronic Engineering (1.9k citations) and Automotive Engineering (355 citations). Ning Lu has collaborated with scholars based in Canada, China and United States. Frequent 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. Their work appears in journals such as IEEE Transactions on Vehicular Technology, IEEE Internet of Things Journal, IEEE Transactions on Intelligent Transportation Systems, IEEE Journal on Selected Areas in Communications and IEEE Transactions on Network Science and Engineering.
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.