Jun Cai

8.1k total citations · 2 hit papers
284 papers, 5.5k citations indexed

About

Jun Cai is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Management Science and Operations Research. According to data from OpenAlex, Jun Cai has authored 284 papers receiving a total of 5.5k indexed citations (citations by other indexed papers that have themselves been cited), including 149 papers in Computer Networks and Communications, 107 papers in Electrical and Electronic Engineering and 83 papers in Management Science and Operations Research. Recurrent topics in Jun Cai's work include Probability and Risk Models (51 papers), IoT and Edge/Fog Computing (42 papers) and Advanced MIMO Systems Optimization (42 papers). Jun Cai is often cited by papers focused on Probability and Risk Models (51 papers), IoT and Edge/Fog Computing (42 papers) and Advanced MIMO Systems Optimization (42 papers). Jun Cai collaborates with scholars based in Canada, China and United States. Jun Cai's 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 and has published in prestigious journals such as SHILAP Revista de lepidopterología, European Journal of Operational Research and IEEE Communications Surveys & Tutorials.

In The Last Decade

Jun Cai

271 papers receiving 5.3k citations

Hit Papers

Networking Architecture and Key Supporting Technologies f... 2023 2026 2024 2025 2023 2024 25 50 75

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jun Cai Canada 41 2.3k 2.1k 1.6k 1.3k 1.1k 284 5.5k
Benjamin Van Roy United States 30 1.1k 0.5× 1.5k 0.7× 729 0.5× 96 0.1× 414 0.4× 97 4.9k
Michael C. Fu United States 41 729 0.3× 3.0k 1.5× 290 0.2× 159 0.1× 302 0.3× 263 6.5k
Stavros A. Zenios United States 35 316 0.1× 1.9k 0.9× 307 0.2× 353 0.3× 1.1k 1.0× 189 5.2k
Roland P. Malhamé Canada 23 519 0.2× 607 0.3× 848 0.5× 219 0.2× 1.0k 0.9× 154 3.8k
Darinka Dentcheva United States 20 250 0.1× 2.4k 1.2× 537 0.3× 105 0.1× 512 0.5× 58 3.9k
Barry L. Nelson United States 44 809 0.4× 4.3k 2.1× 140 0.1× 70 0.1× 155 0.1× 275 6.3k
Upendra Dave India 17 595 0.3× 1.2k 0.6× 321 0.2× 124 0.1× 127 0.1× 53 3.7k
Włodzimierz Ogryczak Poland 29 234 0.1× 1.9k 0.9× 220 0.1× 145 0.1× 653 0.6× 89 3.1k
Onésimo Hernández–Lerma Mexico 27 488 0.2× 1.2k 0.6× 333 0.2× 47 0.0× 1.0k 0.9× 130 3.6k
David D. Yao United States 40 843 0.4× 1.0k 0.5× 460 0.3× 24 0.0× 226 0.2× 164 4.6k

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-authorship network of co-authors of Jun Cai

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Cai. A scholar is included among the top collaborators of Jun Cai based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jun Cai. Jun Cai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Li, Xiaolong, Ruilong Deng, Xin Wu, et al.. (2025). AIGC-Driven Real-Time Interactive 4-D Traffic Scene Generation in Vehicular Networks. IEEE Network. 39(6). 261–269. 2 indexed citations
2.
Cai, Jun, et al.. (2025). Demand-Aware Beam Hopping and Power Allocation for Load Balancing in Digital Twin Empowered LEO Satellite Networks. IEEE Transactions on Wireless Communications. 24(6). 5084–5098. 3 indexed citations
3.
Okegbile, Samuel D., et al.. (2025). FLeS: A Federated Learning-Enhanced Semantic Communication Framework for Mobile AIGC-Driven Human Digital Twins. IEEE Network. 39(5). 238–246. 5 indexed citations
4.
Okegbile, Samuel D., et al.. (2025). Optimizing Federated Semantic Learning in Distributed AIGC-Enabled Human Digital Twins: A Multi-Criteria and Multi-Shard User Selection Framework. IEEE Transactions on Mobile Computing. 24(7). 5916–5933. 1 indexed citations
5.
Okegbile, Samuel D., Jun Cai, Jiayuan Chen, & Changyan Yi. (2024). A Reputation-Enhanced Shard-Based Byzantine Fault-Tolerant Scheme for Secure Data Sharing in Zero Trust Human Digital Twin Systems. IEEE Internet of Things Journal. 11(12). 22726–22741. 17 indexed citations
6.
Chen, Jiayuan, et al.. (2024). Energy-Efficient UAV Swarm Assisted MEC With Dynamic Clustering and Scheduling. 1–6. 4 indexed citations
7.
Okegbile, Samuel D., et al.. (2024). A Prediction-Enhanced Physical-to-Virtual Twin Connectivity Framework for Human Digital Twin. IEEE Transactions on Cognitive Communications and Networking. 11(4). 2440–2455. 9 indexed citations
8.
Hao, Xiang, Changyan Yi, Wu Kun, et al.. (2024). Realizing Immersive Communications in Human Digital Twin by Edge Computing Empowered Tactile Internet: Visions and Case Study. IEEE Network. 39(4). 271–279. 10 indexed citations
9.
Yi, Changyan, et al.. (2023). Joint Trajectory Planning, Application Placement, and Energy Renewal for UAV-Assisted MEC: A Triple-Learner-Based Approach. IEEE Internet of Things Journal. 10(15). 13622–13636. 34 indexed citations
10.
Cai, Jun, et al.. (2023). Distributionally Robust Optimization Under Distorted Expectations. Operations Research. 73(2). 969–985. 6 indexed citations
11.
Li, Gang, Jun Cai, & Hongbin Chen. (2021). Online Truthful Mechanism Design in Wireless Communication Networks. IEEE Wireless Communications. 28(4). 159–165. 2 indexed citations
12.
Xie, Xianzhong, et al.. (2021). Deep Reinforcement Learning-Based Multidimensional Resource Management for Energy Harvesting Cognitive NOMA Communications. IEEE Transactions on Communications. 70(5). 3110–3125. 45 indexed citations
13.
Sun, Jianmeng, et al.. (2021). Study on Nuclear Magnetic Resonance Logging T2 Spectrum Shape Correction of Sandstone Reservoirs in Oil-Based Mud Wells. Molecules. 26(19). 6082–6082. 6 indexed citations
14.
Chen, Hongbin, et al.. (2018). Joint User Association and Power Allocation for Hybrid Half-Duplex/Full-Duplex Relaying in Cellular Networks. IEEE Systems Journal. 13(2). 1145–1156. 7 indexed citations
15.
Lei, Fangyuan, et al.. (2016). Efficient Caching Mechanism Based on Soft Defined Information-centric Networks. 43(8). 83. 2 indexed citations
16.
Li, Xiaolong, Jun Cai, & Hong Zhang. (2016). Topology Control for Guaranteed Connectivity Provisioning in Heterogeneous Sensor Networks. IEEE Sensors Journal. 16(12). 5060–5071. 8 indexed citations
17.
Chen, Hongbin, Gang Li, & Jun Cai. (2015). Spectral–Energy Efficiency Tradeoff in Full-Duplex Two-Way Relay Networks. IEEE Systems Journal. 12(1). 583–592. 40 indexed citations
18.
Cai, Jun & Ken Seng Tan. (2007). Optimal Retention for a Stop-loss Reinsurance Under the VaR and CTE Risk Measures. Astin Bulletin. 37(1). 93–112. 157 indexed citations
19.
Cai, Jun, Xuemin Shen, J.W. Mark, & Attahiru Sule Alfa. (2006). Resource Allocation in Wireless Relay Networks. Global Communications Conference. 6 indexed citations
20.
Starodubov, D.S., V. Grubsky, Jack Feinberg, et al.. (1998). Novel Fiber Amplitude Modulators for Dynamic Channel Power Equalization in WDM Systems. Optics and Photonics News. 9(5). 61. 10 indexed citations

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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