Ran Wang
Impact in
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- IoT and Edge/Fog Computing
- Software-Defined Networks and 5G
- Caching and Content Delivery
- Aerospace Engineering top 5%
- UAV Applications and Optimization
Papers in
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- Software-Defined Networks and 5G 14
- IoT and Edge/Fog Computing 8
- Opportunistic and Delay-Tolerant Networks 5
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- UAV Applications and Optimization 10
- Satellite Communication Systems 7
- Co-authors
- Kun Zhu (46 shared papers)Dusit Tao Niyato (19 shared papers)Jiequ Ji (9 shared papers)Changyan Yi (21 shared papers)Gaoxi Xiao (7 shared papers)Jie Hao (21 shared papers)Ping Wang (11 shared papers)Yue Cao (8 shared papers)
In The Last Decade
Ran Wang
118 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 85
- Computer Networks and Communications 426
- Aerospace Engineering 355
- Electrical and Electronic Engineering 617
- Computational Mathematics 5
- Control and Systems Engineering 134
Countries citing papers authored by Ran Wang
This map shows the geographic impact of Ran 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 Ran Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ran Wang more than expected).
Fields of papers citing papers by Ran Wang
This network shows the impact of papers produced by Ran 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 Ran Wang. The network helps show where Ran Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Ran Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 130 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 109 | |
| 2 | 2019 | 92 | |
| 3 | 2014 | 84 | |
| 4 | 2020 | 78 | |
| 5 | 2023 | 73 | |
| 6 | 2017 | 63 | |
| 7 | 2019 | 57 | |
| 8 | 2019 | 51 | |
| 9 | 2017 | 50 | |
| 10 | 2020 | 49 | |
| 11 | 2022 | 46 | |
| 12 | 2022 | 42 | |
| 13 | 2020 | 35 | |
| 14 | 2013 | 33 | |
| 15 | 2019 | 29 | |
| 16 | 2024 | 28 | |
| 17 | 2020 | 27 | |
| 18 | 2023 | 25 | |
| 19 | 2024 | 25 | |
| 20 | 2019 | 20 |
About Ran Wang
Ran Wang is a scholar working on Computer Networks and Communications, Aerospace Engineering, Electrical and Electronic Engineering, Information Systems and Control and Systems Engineering, having authored 130 papers that have together received 1.7k indexed citations. Recurring topics across this work include Software-Defined Networks and 5G (14 papers), Electric Vehicles and Infrastructure (14 papers), UAV Applications and Optimization (10 papers), IoT and Edge/Fog Computing (8 papers), Cloud Computing and Resource Management (7 papers), Satellite Communication Systems (7 papers), Opportunistic and Delay-Tolerant Networks (5 papers) and Electric Power System Optimization (5 papers). The work is most often cited by research in Computer Networks and Communications (426 citations), Aerospace Engineering (355 citations), Electrical and Electronic Engineering (617 citations), Computational Mathematics (5 citations) and Control and Systems Engineering (134 citations). Ran Wang has collaborated with scholars based in China, Singapore and Canada. Frequent co-authors include Kun Zhu, Dusit Tao Niyato, Jiequ Ji, Changyan Yi, Gaoxi Xiao, Jie Hao, Ping Wang, Yue Cao, Jun Cai and Qiang Wu. Their work appears in journals such as IEEE Transactions on Mobile Computing, IEEE Internet of Things Journal, IEEE Transactions on Cognitive Communications and Networking, IEEE Transactions on Intelligent Transportation Systems and IEEE Access.
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.