Xiaosha Chen
Impact in
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- IoT and Edge/Fog Computing
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- Autonomous Vehicle Technology and Safety
Papers in ⓘ
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- Vehicular Ad Hoc Networks (VANETs) 6
- Advanced MIMO Systems Optimization 3
- Optical Wireless Communication Technologies 2
- Advanced Wireless Communication Technologies 2
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- IoT and Edge/Fog Computing 2
- Co-authors
- Supeng Leng (12 shared papers)Longyu Zhou (3 shared papers)Jianhua He (2 shared papers)Kun Yang (1 shared paper)Jie Hu (2 shared papers)Kai Xiong (2 shared papers)Ke Zhang (1 shared paper)Sun Mao (3 shared papers)
- Journals
- IEEE Access (2 papers)IEEE Transactions on Vehicular Technology (2 papers)EURASIP Journal on Wireless Communications and Networking (1 paper)IEEE Internet of Things Journal (1 paper)IEEE Transactions on Intelligent Transportation Systems (1 paper)
- Partner nations
- ChinaUnited KingdomAustralia
In The Last Decade
Xiaosha Chen
12 papers receiving 255 citations
Peers
Comparison fields: 5 of 39
- Computer Networks and Communications 126
- Automotive Engineering 51
- Electrical and Electronic Engineering 152
- Control and Systems Engineering 44
- Transportation 11
Countries citing papers authored by Xiaosha Chen
This map shows the geographic impact of Xiaosha Chen'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 Xiaosha Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaosha Chen more than expected).
Fields of papers citing papers by Xiaosha Chen
This network shows the impact of papers produced by Xiaosha Chen. 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 Xiaosha Chen. The network helps show where Xiaosha Chen may publish in the future.
Co-authors
The 19 scholars most cited alongside Xiaosha Chen, 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 | 2019 | 63 | |
| 2 | 2020 | 60 | |
| 3 | 2019 | 32 | |
| 4 | 2020 | 30 | |
| 5 | 2019 | 22 | |
| 6 | 2023 | 20 | |
| 7 | 2020 | 19 | |
| 8 | 2021 | 5 | |
| 9 | 2018 | 3 | |
| 10 | 2023 | 2 | |
| 11 | 2018 | 2 | |
| 12 | 2018 | 2 | |
| 13 | 2024 | 0 |
About Xiaosha Chen
Xiaosha Chen is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Control and Systems Engineering, Information Systems and Computer Vision and Pattern Recognition, having authored 13 papers that have together received 260 indexed citations. Recurring topics across this work include Vehicular Ad Hoc Networks (VANETs) (6 papers), Traffic control and management (4 papers), Advanced MIMO Systems Optimization (3 papers), Optical Wireless Communication Technologies (2 papers), Advanced Wireless Communication Technologies (2 papers), IoT and Edge/Fog Computing (2 papers), Complex Network Analysis Techniques (1 paper) and Video Surveillance and Tracking Methods (1 paper). The work is most often cited by research in Computer Networks and Communications (126 citations), Automotive Engineering (51 citations), Electrical and Electronic Engineering (152 citations), Control and Systems Engineering (44 citations) and Transportation (11 citations). Xiaosha Chen has collaborated with scholars based in China, United Kingdom and Australia. Frequent co-authors include Supeng Leng, Longyu Zhou, Jianhua He, Kun Yang, Jie Hu, Kai Xiong, Ke Zhang, Sun Mao, Fan Wu and Jihua Zhou. Their work appears in journals such as IEEE Access, IEEE Transactions on Vehicular Technology, EURASIP Journal on Wireless Communications and Networking, IEEE Internet of Things Journal and IEEE Transactions on Intelligent Transportation Systems.
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.