Jun Cai

2.5k citations
108 papers · 1.7k · h-index 21

Impact in

Papers in

Jun Cai

98 papers receiving 1.6k citations

Peers

Jun Cai
Comparison fields: 5 of 147
  • Computer Networks and Communications 655
  • Computer Vision and Pattern Recognition 371
  • Finance 166
  • General Economics, Econometrics and Finance 93
  • Signal Processing 104
Replace Yiran Shen with:
Yiran Shen China
Sotirios Chatzis Cyprus
Shohei Shimizu Japan
Gongbo Zhang United States
Paul D. Yoo United Arab Emirates
Fang Han United States
Min Lin China
Saad M. Darwish Egypt
Ammar Belatreche United Kingdom
Riashat Islam Canada
Jun Cai relative to Yiran Shen China Yiran Shen's profile →
Citations per field
00.5×5.8×
Yiran Shen · 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 108 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1994189
2 1999159
3 2017108
4 201096
5 202084
6 200565
7 202162
8 202046
9 201544
10 201744
11 200241
12 202240
13 202034
14 202232
15 201830
16 201529
17 202423
18 201522
19 202022
20 202321

About Jun Cai

Jun Cai is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition, Artificial Intelligence, Electrical and Electronic Engineering and Control and Systems Engineering, having authored 108 papers that have together received 1.7k indexed citations. Recurring topics across this work include Software-Defined Networks and 5G (13 papers), Network Security and Intrusion Detection (12 papers), Cloud Computing and Resource Management (9 papers), IoT and Edge/Fog Computing (8 papers), Caching and Content Delivery (8 papers), Cooperative Communication and Network Coding (7 papers), Opportunistic and Delay-Tolerant Networks (7 papers) and Wireless Communication Networks Research (6 papers). The work is most often cited by research in Computer Networks and Communications (655 citations), Computer Vision and Pattern Recognition (371 citations), Finance (166 citations), General Economics, Econometrics and Finance (93 citations) and Signal Processing (104 citations). Jun Cai has collaborated with scholars based in China, Canada and United States. Frequent co-authors include A. Ardeshir Goshtasby, Waixi Liu, Jianzhen Luo, Yan Liu, Yu Wang, Xianlun Tang, Changbing Li, Ling Zhuang, Xuemin Shen and Jie Zhang. Their work appears in journals such as IEEE Transactions on Network and Service Management, Journal of Network and Computer Applications, IEEE Internet of Things Journal, Computer Networks and International Journal of Intelligent 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.

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