Nan Cheng
- Computer Networks and Communications top 0.1%
- IoT and Edge/Fog Computing 69
- Opportunistic and Delay-Tolerant Networks 44
- Aerospace Engineering top 0.2%
- Satellite Communication Systems 48
- UAV Applications and Optimization 47
-
- Vehicular Ad Hoc Networks (VANETs) 78
- Advanced MIMO Systems Optimization 55
- Advanced Wireless Communication Technologies 46
- Automotive Engineering top 1%
- Information Systems top 0.5%
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- Privacy-Preserving Technologies in Data 32
- Cited by
- Computer Networks and CommunicationsAerospace EngineeringElectrical and Electronic Engineering
- Journals
- IEEE Internet of Things Journal (56 papers)IEEE Transactions on Vehicular Technology (45 papers)IEEE Transactions on Wireless Communications (21 papers)
- Partner nations
- ChinaCanadaUnited States
In The Last Decade
Nan Cheng
347 papers receiving 10.7k citations
Hit Papers
Peers
Comparison fields: 5 of 121
- Computer Networks and Communications 6.1k
- Aerospace Engineering 2.8k
- Electrical and Electronic Engineering 6.1k
- Automotive Engineering 832
- Information Systems 1.4k
Countries citing papers authored by Nan Cheng
This map shows the geographic impact of Nan Cheng'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 Nan Cheng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nan Cheng more than expected).
Fields of papers citing papers by Nan Cheng
This network shows the impact of papers produced by Nan Cheng. 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 Nan Cheng. The network helps show where Nan Cheng may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Nan Cheng, 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 | 2 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 0 | |
| 5 | 2024 | 5 | |
| 6 | 2024 | 2 | |
| 7 | 2024 | 3 | |
| 8 | 2024 | 24 | |
| 9 | 2023 | 8 | |
| 10 | 2023 | 10 | |
| 11 | 2023 | 32 | |
| 12 | 2022 | 53 | |
| 13 | 2022 | 64 | |
| 14 | 2022 | 39 | |
| 15 | 2021 | 26 | |
| 16 | 2021 | 32 | |
| 17 | 2021 | 58 | |
| 18 | 2020 | 13 | |
| 19 | 2020 | 28 | |
| 20 | 2019 | 53 |
About Nan Cheng
Nan Cheng is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Aerospace Engineering, having authored 377 papers that have together received 10.9k indexed citations. Recurring topics across this work include Vehicular Ad Hoc Networks (VANETs) (78 papers), IoT and Edge/Fog Computing (69 papers), Advanced MIMO Systems Optimization (55 papers), Satellite Communication Systems (48 papers), UAV Applications and Optimization (47 papers), Advanced Wireless Communication Technologies (46 papers), Opportunistic and Delay-Tolerant Networks (44 papers) and Privacy-Preserving Technologies in Data (32 papers). The work is most often cited by research in Computer Networks and Communications (6.1k citations), Aerospace Engineering (2.8k citations) and Electrical and Electronic Engineering (6.1k citations). Nan Cheng has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Xuemin Shen, Ning Zhang, Ning Lu, Haibo Zhou, Feng Lyu, J.W. Mark, Wenchao Xu, Weisen Shi, Yi Zhou and Zhisheng Yin. Their work appears in journals such as IEEE Internet of Things Journal, IEEE Transactions on Vehicular Technology, IEEE Transactions on Wireless Communications, IEEE Transactions on Intelligent Transportation Systems and IEEE Transactions on Mobile Computing.
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.