Jun Cai

8.1k citations
284 papers · 5.5k · 2 hit papers · h-index 41

Impact in

Papers in

Jun Cai

271 papers receiving 5.3k citations

Jun Cai's Hit Papers

A Revolution of Personalized Healthcare: Enabling Human Digital Twin With Mobile AIGC 2024 · 49 citations
490+1+2Years since publication255075

Peers

Jun Cai
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
Replace Benjamin Van Roy with:
Benjamin Van Roy United States
Michael C. Fu United States
Darinka Dentcheva United States
Włodzimierz Ogryczak Poland
Stavros A. Zenios United States
Roland P. Malhamé Canada
Upendra Dave India
Barry L. Nelson United States
Assaf Zeevi United States
Garud Iyengar United States
Jun Cai relative to Benjamin Van Roy United States Benjamin Van Roy's profile →
Citations per field
00.5×10×13.5×
Benjamin Van Roy · 1×
Citations per year

Countries citing papers authored by Jun Cai

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

Border = papers with Jun Cai Line = papers co-authored together Jun Cai links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 284 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008195
2 2019170
3 2007157
4 2017142
5 2008136
6 2007120
7
Networking Architecture and Key Supporting Technologies for Human Digital Twin in Personalized Healthcare: A Comprehensive Survey
Hit paper breakdown →
202392
8 201989
9 200589
10 200476
11 201775
12 201974
13 201470
14 200167
15 201865
16 202163
17 200262
18 201261
19 201361
20 200660

About Jun Cai

Jun Cai is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Management Science and Operations Research, Demography and Finance, 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), Computer Networks and Communications (2.3k citations), Finance (819 citations) and Statistics and Probability (429 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 David Dickson. 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.

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