Rongpeng Li

5.5k total citations · 3 hit papers
128 papers, 3.7k citations indexed

About

Rongpeng Li is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Rongpeng Li has authored 128 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 74 papers in Computer Networks and Communications, 52 papers in Electrical and Electronic Engineering and 37 papers in Artificial Intelligence. Recurrent topics in Rongpeng Li's work include Advanced MIMO Systems Optimization (29 papers), Software-Defined Networks and 5G (19 papers) and Cooperative Communication and Network Coding (16 papers). Rongpeng Li is often cited by papers focused on Advanced MIMO Systems Optimization (29 papers), Software-Defined Networks and 5G (19 papers) and Cooperative Communication and Network Coding (16 papers). Rongpeng Li collaborates with scholars based in China, France and Finland. Rongpeng Li's co-authors include Honggang Zhang, Zhifeng Zhao, Xuan Zhou, Xianfu Chen, Yuxiu Hua, Guoru Ding, Zhiming Liu, Jiaqi Li, Zhongyao Wang and Yan Chen and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Communications Surveys & Tutorials and IEEE Access.

In The Last Decade

Rongpeng Li

119 papers receiving 3.6k citations

Hit Papers

Intelligent 5G: When Cellular Networks Meet Artificial In... 2017 2026 2020 2023 2017 2019 2024 100 200 300 400
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Intelligent 5G: When Cellular Networks Meet Artificial Intelligence
    2017 415 citations Rongpeng Li, Zhifeng Zhao et al. profile →
  2. Deep Learning with Long Short-Term Memory for Time Series Prediction
    2019 407 citations Zhifeng Zhao, Rongpeng Li et al. profile →
  3. NetGPT: An AI-Native Network Architecture for Provisioning Beyond Personalized Generative Services
    2024 40 citations Rongpeng Li, Zhifeng Zhao et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rongpeng Li China 29 2.0k 1.7k 876 295 274 128 3.7k
Kai Liu China 33 1.7k 0.9× 2.0k 1.2× 722 0.8× 166 0.6× 297 1.1× 246 3.9k
Matthias Hollick Germany 28 1.7k 0.9× 1.8k 1.0× 693 0.8× 305 1.0× 105 0.4× 242 3.4k
Dingde Jiang China 34 2.0k 1.0× 1.3k 0.8× 637 0.7× 164 0.6× 297 1.1× 148 3.5k
Yunhuai Liu China 37 1.4k 0.7× 1.6k 1.0× 618 0.7× 272 0.9× 299 1.1× 165 3.6k
Lei Wang China 34 1.8k 0.9× 1.9k 1.1× 796 0.9× 164 0.6× 157 0.6× 281 3.9k
Kui Wu Canada 33 2.5k 1.3× 1.5k 0.9× 803 0.9× 366 1.2× 229 0.8× 212 4.1k
Vaneet Aggarwal United States 30 1.5k 0.8× 1.5k 0.9× 631 0.7× 218 0.7× 119 0.4× 251 3.6k
Mingyan Liu United States 39 4.5k 2.3× 2.8k 1.7× 1.0k 1.2× 497 1.7× 168 0.6× 225 6.9k
Panagiotis Demestichas Greece 23 1.9k 1.0× 1.7k 1.0× 299 0.3× 134 0.5× 244 0.9× 232 3.3k
Yunhao Liu China 38 2.4k 1.2× 1.7k 1.0× 824 0.9× 405 1.4× 183 0.7× 182 4.4k

Countries citing papers authored by Rongpeng Li

Since Specialization
Citations

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

Fields of papers citing papers by Rongpeng Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rongpeng Li

This figure shows the co-authorship network connecting the top 25 collaborators of Rongpeng Li. A scholar is included among the top collaborators of Rongpeng Li 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 Rongpeng Li. Rongpeng Li 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, Rongpeng, et al.. (2025). Pareto Actor-Critic for Communication and Computation Co-Optimization in Non-Cooperative Federated Learning Services. IEEE Transactions on Mobile Computing. 25(2). 1628–1643.
2.
Chen, Qimei, et al.. (2025). Communication-and-Computation Efficient Split Federated Learning in Wireless Networks: Gradient Aggregation and Resource Management. IEEE Transactions on Wireless Communications. 25. 1981–1995.
3.
Li, Rongpeng, et al.. (2025). Tool-Aided Evolutionary LLM for Generative Policy Toward Efficient Resource Management in Wireless Federated Learning. IEEE Journal on Selected Areas in Communications. 44. 2904–2921. 1 indexed citations
4.
Li, Rongpeng, et al.. (2024). Self-Critical Alternate Learning-Based Semantic Broadcast Communication. IEEE Transactions on Communications. 73(5). 3347–3363. 2 indexed citations
5.
Li, Rongpeng, Kun Lü, Xianfu Chen, et al.. (2023). Semantics-Empowered Communications: A Tutorial-Cum-Survey. IEEE Communications Surveys & Tutorials. 26(1). 41–79. 53 indexed citations
6.
Li, Rongpeng, et al.. (2023). The Gradient Convergence Bound of Federated Multi-Agent Reinforcement Learning With Efficient Communication. IEEE Transactions on Wireless Communications. 23(1). 507–528. 11 indexed citations
7.
Li, Rongpeng, et al.. (2023). Alternate Learning based Sparse Semantic Communications for Visual Transmission. 1. 1–6. 2 indexed citations
8.
Li, Rongpeng, et al.. (2022). Adaptive Bit Rate Control in Semantic Communication With Incremental Knowledge-Based HARQ. SHILAP Revista de lepidopterología. 46 indexed citations
9.
Li, Rongpeng, et al.. (2022). Trustable Policy Collaboration Scheme for Multi-Agent Stigmergic Reinforcement Learning. IEEE Communications Letters. 26(4). 823–827. 4 indexed citations
10.
Li, Rongpeng, et al.. (2021). Stigmergic Independent Reinforcement Learning for Multiagent Collaboration. IEEE Transactions on Neural Networks and Learning Systems. 33(9). 4285–4299. 20 indexed citations
11.
12.
Li, Rongpeng, et al.. (2021). Persistent Homology-Based Topological Analysis on the Gestalt Patterns during Human Brain Cognition Process. Journal of Healthcare Engineering. 2021. 1–11. 3 indexed citations
13.
Dai, Anna, et al.. (2020). Evaluation Mechanism of Collective Intelligence for Heterogeneous Agents Group. IEEE Access. 8. 28385–28394. 9 indexed citations
14.
Oftelie, Lindsay Bassman, Sahil Gulania, Rongpeng Li, et al.. (2020). Domain-specific compilers for dynamic simulations of quantum materials on quantum computers. Quantum Science and Technology. 6(1). 14007–14007. 6 indexed citations
15.
Chen, Ying, Rongpeng Li, Zhifeng Zhao, & Honggang Zhang. (2020). On the Capacity of Fractal D2D Social Networks with Hierarchical Communications. IEEE Transactions on Mobile Computing. 20(6). 2254–2268. 1 indexed citations
16.
Zhao, Zhifeng, et al.. (2019). Brain-Inspired Stigmergy Learning. IEEE Access. 7. 54410–54424. 7 indexed citations
17.
Chen, Ying, Rongpeng Li, Zhifeng Zhao, & Honggang Zhang. (2018). Fundamentals on Base Stations in Urban Cellular Networks: From the Perspective of Algebraic Topology. IEEE Wireless Communications Letters. 8(2). 612–615. 1 indexed citations
18.
Zhao, Zhifeng, Rongpeng Li, Qi Sun, et al.. (2018). Deep Reinforcement Learning for Network Slicing.. arXiv (Cornell University). 11 indexed citations
19.
Sun, Jiachen, Liang Shen, Guoru Ding, Rongpeng Li, & Qihui Wu. (2017). Predictability Analysis of Spectrum State Evolution: Performance Bounds and Real-World Data Analytics. IEEE Access. 5. 22760–22774. 19 indexed citations
20.
Zhao, Zhifeng, et al.. (2014). Modeling Spatial Distributions of Base Stations in Cellular Networks.. arXiv (Cornell University). 1 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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