Ran Wang
Impact in
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- IoT and Edge/Fog Computing
- Automotive Engineering top 5%
- Advanced Battery Technologies Research
Papers in
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- IoT and Edge/Fog Computing 12
- Opportunistic and Delay-Tolerant Networks 12
- Software-Defined Networks and 5G 10
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- Energy Harvesting in Wireless Networks 18
- Advanced MIMO Systems Optimization 12
- Electric Vehicles and Infrastructure 9
- Co-authors
- Kun Zhu (40 shared papers)Dusit Niyato (17 shared papers)Jiequ Ji (7 shared papers)Gaoxi Xiao (4 shared papers)Changyan Yi (16 shared papers)Jie Hao (16 shared papers)Ping Wang (10 shared papers)Shimin Gong (3 shared papers)
In The Last Decade
Ran Wang
100 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 125
- Computer Networks and Communications 504
- Automotive Engineering 218
- Electrical and Electronic Engineering 761
- Aerospace Engineering 315
- Biological Psychiatry 32
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 108 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 98 | |
| 2 | 2014 | 81 | |
| 3 | 2023 | 80 | |
| 4 | 2019 | 80 | |
| 5 | 2020 | 71 | |
| 6 | 2017 | 59 | |
| 7 | 2020 | 49 | |
| 8 | 2017 | 48 | |
| 9 | 2019 | 46 | |
| 10 | 2019 | 45 | |
| 11 | 2023 | 42 | |
| 12 | 2022 | 37 | |
| 13 | 2022 | 37 | |
| 14 | 2013 | 32 | |
| 15 | 2020 | 30 | |
| 16 | 2019 | 28 | |
| 17 | 2023 | 22 | |
| 18 | 2020 | 18 | |
| 19 | 2018 | 17 | |
| 20 | 2023 | 16 |
About Ran Wang
Ran Wang is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Aerospace Engineering, Information Systems and Automotive Engineering, having authored 108 papers that have together received 1.5k indexed citations. Recurring topics across this work include Energy Harvesting in Wireless Networks (18 papers), IoT and Edge/Fog Computing (12 papers), Opportunistic and Delay-Tolerant Networks (12 papers), Advanced MIMO Systems Optimization (12 papers), Software-Defined Networks and 5G (10 papers), UAV Applications and Optimization (9 papers), Electric Vehicles and Infrastructure (9 papers) and Cloud Computing and Resource Management (7 papers). The work is most often cited by research in Computer Networks and Communications (504 citations), Automotive Engineering (218 citations), Electrical and Electronic Engineering (761 citations), Aerospace Engineering (315 citations) and Biological Psychiatry (32 citations). Ran Wang has collaborated with scholars based in China, Singapore and Canada. Frequent co-authors include Kun Zhu, Dusit Niyato, Jiequ Ji, Gaoxi Xiao, Changyan Yi, Jie Hao, Ping Wang, Shimin Gong, Ping Wang and Yue Cao. Their work appears in journals such as IEEE Transactions on Mobile Computing, IEEE Transactions on Intelligent Transportation Systems, IEEE Internet of Things Journal, IEEE Transactions on Cognitive Communications and Networking and IEEE Geoscience and Remote Sensing Letters.
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.