Jun Cai
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- Probability and Risk Models 51
- Risk and Portfolio Optimization 29
- Demography top 0.1%
- Insurance, Mortality, Demography, Risk Management 39
- Computer Networks and Communications top 0.5%
- IoT and Edge/Fog Computing 42
- Cooperative Communication and Network Coding 38
- Cognitive Radio Networks and Spectrum Sensing 31
- Finance top 1%
- Statistics and Probability top 1%
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- Advanced MIMO Systems Optimization 42
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- Insurance and Financial Risk Management 25
- Co-authors
- Changyan YiKen Seng TanXuemin ShenAttahiru Sule AlfaJ.W. MarkZhou SuShiwei HuangGordon E. Willmot
- Journals
- IEEE Transactions on Wireless Communications (23 papers)Insurance Mathematics and Economics (19 papers)IEEE Transactions on Vehicular Technology (18 papers)
- Partner nations
- CanadaChinaUnited States
In The Last Decade
Jun Cai
271 papers receiving 5.3k citations
Hit Papers
Peers
Comparison fields: 5 of 117
- Management Science and Operations Research 2.1k
- Demography 1.3k
- Computer Networks and Communications 2.3k
- Finance 819
- Statistics and Probability 429
Countries citing papers authored by Jun Cai
This map shows the geographic impact of Jun 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 Jun Cai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Cai more than expected).
Fields of papers citing papers by Jun Cai
This network shows the impact of papers produced by Jun 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 Jun Cai. The network helps show where Jun Cai may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jun 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 | 5 | |
| 4 | 2024 | 9 | |
| 5 | 2024 | 17 | |
| 6 | 2024 | 10 | |
| 7 | 2024 | 4 | |
| 8 | 2023 | 6 | |
| 9 | 2023 | 34 | |
| 10 | 2023 | 9 | |
| 11 | 2023 | 14 | |
| 12 | Networking Architecture and Key Supporting Technologies for Human Digital Twin in Personalized Healthcare: A Comprehensive Surveybreakdown → | 2023 | 92 |
| 13 | 2022 | 4 | |
| 14 | 2021 | 45 | |
| 15 | 2021 | 6 | |
| 16 | Efficient Caching Mechanism Based on Soft Defined Information-centric Networks | 2016 | 2 |
| 17 | 2016 | 8 | |
| 18 | 2009 | 49 | |
| 19 | 2007 | 157 | |
| 20 | Resource Allocation in Wireless Relay Networks | 2006 | 6 |
About Jun Cai
Jun Cai is a scholar working on Management Science and Operations Research, Computer Networks and Communications and Demography, having authored 284 papers that have together received 5.5k indexed citations. Recurring topics across this work include Probability and Risk Models (51 papers), IoT and Edge/Fog Computing (42 papers), Advanced MIMO Systems Optimization (42 papers), Insurance, Mortality, Demography, Risk Management (39 papers), Cooperative Communication and Network Coding (38 papers), Cognitive Radio Networks and Spectrum Sensing (31 papers), Risk and Portfolio Optimization (29 papers) and Insurance and Financial Risk Management (25 papers). The work is most often cited by research in Management Science and Operations Research (2.1k citations), Demography (1.3k citations) and Computer Networks and Communications (2.3k citations). Jun Cai has collaborated with scholars based in Canada, China and United States. Frequent co-authors include Changyan Yi, Ken Seng Tan, Xuemin Shen, Attahiru Sule Alfa, J.W. Mark, Zhou Su, Shiwei Huang, Gordon E. Willmot, Chengguo Weng and Samuel D. Okegbile. Their work appears in journals such as IEEE Transactions on Wireless Communications, Insurance Mathematics and Economics, IEEE Transactions on Vehicular Technology, IEEE Transactions on Mobile Computing and Journal of Applied Probability.
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.