Jun Cai

2.4k total citations
119 papers, 1.7k citations indexed

About

Jun Cai is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Jun Cai has authored 119 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Computer Networks and Communications, 24 papers in Computer Vision and Pattern Recognition and 24 papers in Artificial Intelligence. Recurrent topics in Jun Cai's work include Software-Defined Networks and 5G (13 papers), Network Security and Intrusion Detection (13 papers) and Cloud Computing and Resource Management (9 papers). Jun Cai is often cited by papers focused on Software-Defined Networks and 5G (13 papers), Network Security and Intrusion Detection (13 papers) and Cloud Computing and Resource Management (9 papers). Jun Cai collaborates with scholars based in China, Canada and United States. Jun Cai's co-authors include A. Ardeshir Goshtasby, Waixi Liu, Jianzhen Luo, Yan Liu, Xianlun Tang, Yu Wang, Changbing Li, Ling Zhuang, Xuemin Shen and Lingxi Peng and has published in prestigious journals such as Bioresource Technology, Expert Systems with Applications and IEEE Access.

In The Last Decade

Jun Cai

108 papers receiving 1.6k citations

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 China 19 650 376 309 254 191 119 1.7k
Sotirios Chatzis Cyprus 24 99 0.2× 416 1.1× 363 1.2× 704 2.8× 236 1.2× 86 1.8k
Yiran Shen China 20 171 0.3× 319 0.8× 326 1.1× 264 1.0× 175 0.9× 78 1.1k
Paul D. Yoo United Arab Emirates 26 880 1.4× 192 0.5× 495 1.6× 879 3.5× 336 1.8× 84 2.4k
Gongbo Zhang United States 10 91 0.1× 274 0.7× 197 0.6× 775 3.1× 140 0.7× 22 1.7k
Shohei Shimizu Japan 23 526 0.8× 227 0.6× 191 0.6× 1.0k 4.0× 417 2.2× 80 2.3k
Riashat Islam Canada 7 395 0.6× 293 0.8× 418 1.4× 910 3.6× 149 0.8× 9 2.1k
Fang Han United States 15 71 0.1× 102 0.3× 64 0.2× 457 1.8× 82 0.4× 50 1.7k
El-Sayed M. El-Alfy Saudi Arabia 24 371 0.6× 612 1.6× 274 0.9× 930 3.7× 363 1.9× 145 2.3k
Chaoqun Ma China 4 85 0.1× 235 0.6× 142 0.5× 517 2.0× 181 0.9× 5 1.3k
Ammar Belatreche United Kingdom 22 91 0.1× 96 0.3× 1.1k 3.7× 789 3.1× 70 0.4× 85 2.0k

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.
Zhang, Wan, et al.. (2025). Rolling bearing degradation stage division and RUL prediction based on recursive exponential slow feature analysis and Bi-LSTM model. Reliability Engineering & System Safety. 259. 110923–110923. 6 indexed citations
2.
Luo, Jianzhen, et al.. (2025). STMBAD: Spatio-Temporal Multimodal Behavior Anomaly Detector for Industrial Control Systems. IEEE Transactions on Industrial Informatics. 21(5). 3746–3755. 1 indexed citations
3.
Ren, Jinchang, et al.. (2025). Blind Quality Assessment Using Channel-Based Structural, Dispersion Rate Scores, and Overall Saturation and Hue for Underwater Images. IEEE Journal of Oceanic Engineering. 50(3). 1944–1959. 1 indexed citations
4.
Chen, Bing, et al.. (2025). Multi-Party Reversible Data Hiding in Ciphertext Binary Images Based on Visual Cryptography. IEEE Signal Processing Letters. 32. 1560–1564.
5.
Zou, Yuntao, et al.. (2025). Cooperative Traffic Scheduling in Transportation Network: A Knowledge Transfer Method. IEEE Transactions on Intelligent Transportation Systems. 27(2). 2631–2643.
6.
Luo, Jianzhen, et al.. (2025). Corrections to “STMBAD: Spatio-Temporal Multimodal Behavior Anomaly Detector for Industrial Control Systems”. IEEE Transactions on Industrial Informatics. 21(6). 5034–5034.
7.
Liu, Waixi, et al.. (2024). Model Parameter Prediction Method for Accelerating Distributed DNN Training. Computer Networks. 255. 110883–110883.
8.
Wang, Bo, et al.. (2024). Modeling and optimization of sporulation by Bacillus licheniformis BF-002 based on dynamics and recurrent neural networks. Bioresource Technology. 398. 130534–130534. 2 indexed citations
9.
Yu, F. Richard, et al.. (2024). Knowledge-Collaboration-Based Resource Allocation in 6G IoT: A Graph Attention RL Approach. IEEE Internet of Things Journal. 11(22). 36581–36595. 5 indexed citations
10.
Li, Dagang, et al.. (2023). Collective reinforcement learning based resource allocation for digital twin service in 6G networks. Journal of Network and Computer Applications. 217. 103697–103697. 16 indexed citations
11.
Liu, Waixi, et al.. (2023). Load balancing inside programmable data planes based on network modeling prediction using a GNN with network behaviors. Computer Networks. 227. 109695–109695. 8 indexed citations
12.
Liu, Waixi, et al.. (2023). QALL: Distributed Queue-Behavior-Aware Load Balancing Using Programmable Data Planes. IEEE Transactions on Network and Service Management. 21(2). 2303–2322. 2 indexed citations
13.
Cai, Jun, et al.. (2023). Privacy-Preserving Deployment Mechanism for Service Function Chains Across Multiple Domains. IEEE Transactions on Network and Service Management. 21(1). 1241–1256. 6 indexed citations
15.
Cai, Jun, et al.. (2022). SARM: Service function chain active reconfiguration mechanism based on load and demand prediction. International Journal of Intelligent Systems. 37(9). 6388–6414. 21 indexed citations
16.
Liu, Waixi, et al.. (2022). Programmable Data Plane Intelligence: Advances, Opportunities, and Challenges. IEEE Network. 37(5). 122–128. 7 indexed citations
17.
Liu, Yan, et al.. (2022). Deep Reinforcement Learning for Reactive Content Caching With Predicted Content Popularity in Three-Tier Wireless Networks. IEEE Transactions on Network and Service Management. 20(1). 486–501. 18 indexed citations
18.
Cai, Jun, et al.. (2021). CapBad: Content-Agnostic, Payload-Based Anomaly Detector for Industrial Control Protocols. IEEE Internet of Things Journal. 9(14). 12542–12554. 18 indexed citations
19.
Wang, Nan, Jun Cai, Weiyang Lin, et al.. (2020). Explicitly exploiting hierarchical features in visual object tracking. Neurocomputing. 397. 203–211. 4 indexed citations
20.
Luo, Jianzhen, Jun Li, Lei Jiao, & Jun Cai. (2020). On the Effective Parallelization and Near-Optimal Deployment of Service Function Chains. IEEE Transactions on Parallel and Distributed Systems. 32(5). 1238–1255. 45 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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