Yu‐ya Cui
Impact in
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- Energy Efficient Wireless Sensor Networks
- IoT and Edge/Fog Computing
- Mobile Ad Hoc Networks
- Opportunistic and Delay-Tolerant Networks
- Security in Wireless Sensor Networks
- Computational Mathematics top 10%
Papers in
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- IoT and Edge/Fog Computing 7
- Energy Efficient Wireless Sensor Networks 7
- Mobile Ad Hoc Networks 6
- Age of Information Optimization 5
- Opportunistic and Delay-Tolerant Networks 5
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- Vehicular Ad Hoc Networks (VANETs) 6
- Co-authors
- Degan Zhang (9 shared papers)Xiaohuan Liu (10 shared papers)Degan Zhang (11 shared papers)Ting Zhang (7 shared papers)Guoqiang Mao (1 shared paper)Ge Hui (1 shared paper)Ting Zhang (1 shared paper)Si Liu (3 shared papers)
In The Last Decade
Yu‐ya Cui
21 papers receiving 1.5k citations
Yu‐ya Cui's Hit Papers
Peers
Comparison fields: 5 of 67
- Computer Networks and Communications 1.1k
- Computational Mathematics 11
- Building and Construction 164
- Electrical and Electronic Engineering 669
- Transportation 75
Countries citing papers authored by Yu‐ya Cui
This map shows the geographic impact of Yu‐ya Cui'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 Yu‐ya Cui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu‐ya Cui more than expected).
Fields of papers citing papers by Yu‐ya Cui
This network shows the impact of papers produced by Yu‐ya Cui. 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 Yu‐ya Cui. The network helps show where Yu‐ya Cui may publish in the future.
Co-authors
The 25 scholars most cited alongside Yu‐ya Cui, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | New Multi-Hop Clustering Algorithm for Vehicular Ad Hoc Networks Hit paper breakdown → | 2018 | 324 |
| 2 | 2018 | 135 | |
| 3 | 2018 | 119 | |
| 4 | 2020 | 111 | |
| 5 | 2018 | 109 | |
| 6 | 2019 | 91 | |
| 7 | 2019 | 91 | |
| 8 | 2019 | 89 | |
| 9 | 2019 | 83 | |
| 10 | 2019 | 78 | |
| 11 | 2018 | 72 | |
| 12 | 2021 | 62 | |
| 13 | 2022 | 51 | |
| 14 | 2023 | 30 | |
| 15 | 2019 | 26 | |
| 16 | 2021 | 17 | |
| 17 | 2023 | 10 | |
| 18 | 2021 | 4 | |
| 19 | 2019 | 2 | |
| 20 | 2025 | 1 |
About Yu‐ya Cui
Yu‐ya Cui is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Information Systems, Building and Construction and Biomedical Engineering, having authored 21 papers that have together received 1.5k indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (7 papers), Energy Efficient Wireless Sensor Networks (7 papers), Vehicular Ad Hoc Networks (VANETs) (6 papers), Mobile Ad Hoc Networks (6 papers), Age of Information Optimization (5 papers), Opportunistic and Delay-Tolerant Networks (5 papers), Cloud Computing and Resource Management (3 papers) and Traffic Prediction and Management Techniques (3 papers). The work is most often cited by research in Computer Networks and Communications (1.1k citations), Computational Mathematics (11 citations), Building and Construction (164 citations), Electrical and Electronic Engineering (669 citations) and Transportation (75 citations). Yu‐ya Cui has collaborated with scholars based in China and Australia. Frequent co-authors include Degan Zhang, Xiaohuan Liu, Degan Zhang, Ting Zhang, Ting Zhang, Guoqiang Mao, Ge Hui, Ting Zhang, Si Liu and Chen Chen. Their work appears in journals such as IEEE Access, Wireless Networks, IEEE Internet of Things Journal, Future Generation Computer Systems and Frontiers of Computer Science.
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.