Pengbo Si

2.5k total citations · 1 hit paper
117 papers, 1.8k citations indexed

About

Pengbo Si is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Information Systems. According to data from OpenAlex, Pengbo Si has authored 117 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 98 papers in Computer Networks and Communications, 73 papers in Electrical and Electronic Engineering and 22 papers in Information Systems. Recurrent topics in Pengbo Si's work include IoT and Edge/Fog Computing (36 papers), Advanced MIMO Systems Optimization (27 papers) and Cognitive Radio Networks and Spectrum Sensing (23 papers). Pengbo Si is often cited by papers focused on IoT and Edge/Fog Computing (36 papers), Advanced MIMO Systems Optimization (27 papers) and Cognitive Radio Networks and Spectrum Sensing (23 papers). Pengbo Si collaborates with scholars based in China, Canada and United States. Pengbo Si's co-authors include F. Richard Yu, Ruizhe Yang, Yanhua Zhang, Yanhua Zhang, Meng Li, Hong Ji, Yanhua Zhang, Wenjun Wu, Enchang Sun and Victor C. M. Leung and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Communications Surveys & Tutorials and IEEE Access.

In The Last Decade

Pengbo Si

107 papers receiving 1.7k citations

Hit Papers

Integrated Blockchain and Edge Computing Systems: A Surve... 2019 2026 2021 2023 2019 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pengbo Si China 20 1.4k 768 678 282 162 117 1.8k
Yinglei Teng China 17 1.2k 0.9× 687 0.9× 675 1.0× 339 1.2× 104 0.6× 113 1.7k
Du Xu China 14 1.3k 1.0× 755 1.0× 819 1.2× 471 1.7× 115 0.7× 59 1.8k
Katinka Wolter Germany 22 1.4k 1.0× 722 0.9× 524 0.8× 305 1.1× 100 0.6× 92 1.9k
Youlong Luo China 26 1.6k 1.2× 1.0k 1.3× 353 0.5× 268 1.0× 95 0.6× 120 2.0k
Jie Feng China 21 1.6k 1.2× 737 1.0× 1.0k 1.5× 611 2.2× 232 1.4× 70 2.4k
Chunlin Li China 24 1.4k 1.0× 880 1.1× 310 0.5× 217 0.8× 95 0.6× 121 1.7k
Lun Tang China 20 1.7k 1.3× 417 0.5× 1.0k 1.5× 268 1.0× 169 1.0× 93 2.1k
Yong Xiao China 24 1.4k 1.0× 378 0.5× 1.2k 1.8× 355 1.3× 153 0.9× 94 2.2k
Mande Xie China 25 1.2k 0.9× 529 0.7× 519 0.8× 597 2.1× 108 0.7× 69 1.9k

Countries citing papers authored by Pengbo Si

Since Specialization
Citations

This map shows the geographic impact of Pengbo Si'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 Pengbo Si with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pengbo Si more than expected).

Fields of papers citing papers by Pengbo Si

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pengbo Si. 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 Pengbo Si. The network helps show where Pengbo Si may publish in the future.

Co-authorship network of co-authors of Pengbo Si

This figure shows the co-authorship network connecting the top 25 collaborators of Pengbo Si. A scholar is included among the top collaborators of Pengbo Si 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 Pengbo Si. Pengbo Si 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.
Wu, Jiahui, Ruizhe Yang, Meng Li, et al.. (2025). Efficiency Optimization for Blockchain-Enabled V2V Energy Trading With Dynamic Clustering Based on Deep Reinforcement Learning. IEEE Transactions on Vehicular Technology. 75(1). 405–418.
2.
Li, Meng, et al.. (2025). NoisyNet-DDQN-Based Sequential Handoff Algorithm for UAV Networks With End-to-End Network Slicing. IEEE Transactions on Vehicular Technology. 74(12). 19496–19512. 1 indexed citations
3.
Li, Meng, et al.. (2025). Handover Optimization for UAV-Assisted LEO Satellite Networks Based on IPPO and Three-Sided Matching Theory. IEEE Internet of Things Journal. 13(1). 152–166.
4.
Li, Meng, Meihui Li, Kan Wang, et al.. (2025). Task Offloading and Resource Management for IIoT With Satellite–Terrestrial Integrated Computing Power Network Based on D3QN. IEEE Internet of Things Journal. 12(12). 21770–21783. 2 indexed citations
5.
Li, Meng, et al.. (2025). Adaptive Resource Allocation for IoT With Computing Power Network Based on RIS-UAV-Aided NOMA-THz Communication. IEEE Transactions on Vehicular Technology. 74(12). 19294–19307.
6.
Sun, Yang, et al.. (2024). Deep reinforcement learning and ant colony optimization supporting multi‐UGV path planning and task assignment in 3D environments. IET Intelligent Transport Systems. 18(9). 1652–1664. 1 indexed citations
7.
Li, Qi, Jingjing Wang, Pengbo Si, et al.. (2024). Energy-Efficient Communication and Computing Scheduling in UAV-Aided Industrial IoT. IEEE Internet of Things Journal. 11(18). 30430–30441. 1 indexed citations
8.
Wu, Wenjun, et al.. (2024). Multi-Agent Fingerprints-Enhanced Distributed Intelligent Handover Algorithm in LEO Satellite Networks. IEEE Transactions on Vehicular Technology. 73(10). 15255–15269. 7 indexed citations
9.
Li, Meng, et al.. (2023). Next-Hop Relay Selection for Ad Hoc Network-Assisted Train-to-Train Communications in the CBTC System. Sensors. 23(13). 5883–5883. 4 indexed citations
10.
Li, Meng, et al.. (2023). Resources Scheduling for Ambient Backscatter Communication-Based Intelligent IIoT: A Collective Deep Reinforcement Learning Method. IEEE Transactions on Cognitive Communications and Networking. 10(2). 634–648. 8 indexed citations
11.
Li, Meng, et al.. (2023). Design and Optimization in MEC‐Based Intelligent Rail System by Integration of Distributed Multi‐Hop Communication and Blockchain. Mathematical Problems in Engineering. 2023(1). 3 indexed citations
13.
Yang, Qiyong, et al.. (2022). A Multi-Stage Visible and Infrared Image Fusion Network Based on Attention Mechanism. Sensors. 22(10). 3651–3651. 7 indexed citations
14.
Si, Pengbo, et al.. (2022). Infrared and visible image fusion for ship targets based on scale‐aware feature decomposition. IET Image Processing. 16(14). 3977–3987. 1 indexed citations
15.
Wu, Wenjun, Gao Yang, Xiaoxi Wang, et al.. (2022). Distributed Handoff Problem in Heterogeneous Networks With End-to-End Network Slicing: Decentralized Markov Decision Process-Based Modeling and Solution. IEEE Transactions on Wireless Communications. 21(12). 11222–11236. 7 indexed citations
16.
Ye, Xinyu, Meng Li, Pengbo Si, et al.. (2022). Collaborative and Intelligent Resource Optimization for Computing and Caching in IoV With Blockchain and MEC Using A3C Approach. IEEE Transactions on Vehicular Technology. 72(2). 1449–1463. 39 indexed citations
18.
Wu, Wenjun, et al.. (2021). B-ReST: Blockchain-Enabled Resource Sharing and Transactions in Fog Computing. IEEE Wireless Communications. 28(2). 172–180. 28 indexed citations
19.
Li, Meng, Pengbo Si, Qian Zhang, Haipeng Yao, & Yanhua Zhang. (2017). Energy-Efficient Mobile Cloud Gaming System Based on Stackelberg Game in Wireless Mobile Networks.. 36. 313–335. 1 indexed citations
20.
Yao, Haipeng, Pengbo Si, Ruizhe Yang, & Yanhua Zhang. (2016). Dynamic Spectrum Management with Movement Prediction in Vehicular Ad Hoc Networks.. Ad Hoc & Sensor Wireless Networks. 32. 79–97. 5 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026