Lin Cai
- Computer Networks and Communications top 0.05%
- Wireless Networks and Protocols 109
- Cooperative Communication and Network Coding 100
- Mobile Ad Hoc Networks 91
- Energy Efficient Wireless Sensor Networks 37
- Opportunistic and Delay-Tolerant Networks 33
-
- Advanced MIMO Systems Optimization 89
- Advanced Wireless Network Optimization 81
- Vehicular Ad Hoc Networks (VANETs) 56
- Automotive Engineering top 0.5%
- Aerospace Engineering top 1%
- Signal Processing top 2%
- Cited by
- Computer Networks and CommunicationsElectrical and Electronic EngineeringAutomotive Engineering
- Journals
- IEEE Transactions on Wireless Communications (44 papers)IEEE Transactions on Vehicular Technology (43 papers)IEEE Transactions on Mobile Computing (22 papers)
- Partner nations
- CanadaChinaUnited States
In The Last Decade
Lin Cai
460 papers receiving 10.3k citations
Hit Papers
Peers
Comparison fields: 5 of 155
- Computer Networks and Communications 6.8k
- Electrical and Electronic Engineering 7.3k
- Automotive Engineering 964
- Aerospace Engineering 981
- Signal Processing 382
Countries citing papers authored by Lin Cai
This map shows the geographic impact of Lin Cai'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 Lin Cai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lin Cai more than expected).
Fields of papers citing papers by Lin Cai
This network shows the impact of papers produced by Lin Cai. 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 Lin Cai. The network helps show where Lin Cai may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Lin Cai, 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 | 1 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 4 | |
| 5 | 2024 | 4 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 0 | |
| 8 | 2024 | 3 | |
| 9 | 2024 | 0 | |
| 10 | 2024 | 1 | |
| 11 | 2024 | 3 | |
| 12 | 2024 | 1 | |
| 13 | 2023 | 6 | |
| 14 | 2023 | 2 | |
| 15 | 2023 | 16 | |
| 16 | 2023 | 7 | |
| 17 | Bullous Pilomatricoma After Influenza Vaccination | 2022 | 6 |
| 18 | 2021 | 52 | |
| 19 | 2020 | 9 | |
| 20 | 2017 | 31 |
About Lin Cai
Lin Cai is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Automotive Engineering, having authored 485 papers that have together received 10.7k indexed citations. Recurring topics across this work include Wireless Networks and Protocols (109 papers), Cooperative Communication and Network Coding (100 papers), Mobile Ad Hoc Networks (91 papers), Advanced MIMO Systems Optimization (89 papers), Advanced Wireless Network Optimization (81 papers), Vehicular Ad Hoc Networks (VANETs) (56 papers), Energy Efficient Wireless Sensor Networks (37 papers) and Opportunistic and Delay-Tolerant Networks (33 papers). The work is most often cited by research in Computer Networks and Communications (6.8k citations), Electrical and Electronic Engineering (7.3k citations) and Automotive Engineering (964 citations). Lin Cai has collaborated with scholars based in Canada, China and United States. Frequent co-authors include Xuemin Shen, Jianping Pan, J.W. Mark, Yongmin Zhang, Jianping He, Yue Li, Ruonan Zhang, Lei Zheng, Yi Shi and Peng Cheng. Their work appears in journals such as IEEE Transactions on Wireless Communications, IEEE Transactions on Vehicular Technology, IEEE Transactions on Mobile Computing, IEEE Internet of Things Journal and IEEE Transactions on Cognitive Communications and Networking.
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.