Sen Liu

3.0k total citations · 2 hit papers
98 papers, 2.1k citations indexed

About

Sen Liu is a scholar working on Computer Networks and Communications, Artificial Intelligence and Information Systems. According to data from OpenAlex, Sen Liu has authored 98 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Computer Networks and Communications, 35 papers in Artificial Intelligence and 22 papers in Information Systems. Recurrent topics in Sen Liu's work include Software-Defined Networks and 5G (22 papers), Cloud Computing and Resource Management (18 papers) and Privacy-Preserving Technologies in Data (12 papers). Sen Liu is often cited by papers focused on Software-Defined Networks and 5G (22 papers), Cloud Computing and Resource Management (18 papers) and Privacy-Preserving Technologies in Data (12 papers). Sen Liu collaborates with scholars based in China, United States and Canada. Sen Liu's co-authors include Hongwei Li, Guowen Xu, Xiaodong Lin, Kan Yang, Haomiao Yang, Meng Hao, Xizhao Luo, Zehua Guo, Rongxing Lu and Yang Xu and has published in prestigious journals such as Nature, Advanced Materials and SHILAP Revista de lepidopterología.

In The Last Decade

Sen Liu

84 papers receiving 2.0k citations

Hit Papers

VerifyNet: Secure and Verifiable Federated Learning 2019 2026 2021 2023 2019 2019 100 200 300 400 500

Peers

Sen Liu
Beakcheol Jang South Korea
Lihua Yin China
Hosam Alhakami Saudi Arabia
Yongdong Wu Singapore
Xu Zheng China
Omar Alfandi United Arab Emirates
Beakcheol Jang South Korea
Sen Liu
Citations per year, relative to Sen Liu Sen Liu (= 1×) peers Beakcheol Jang

Countries citing papers authored by Sen Liu

Since Specialization
Citations

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

Fields of papers citing papers by Sen Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sen Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Sen Liu. A scholar is included among the top collaborators of Sen Liu 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 Sen Liu. Sen Liu 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.
Zhu, L. Z., et al.. (2026). Radiation-tolerant atomic-layer-scale RF system for spaceborne communication. Nature. 650(8101). 346–352.
2.
Li, Jiale, et al.. (2024). TabSAL: Synthesizing Tabular data with Small agent Assisted Language models. Knowledge-Based Systems. 304. 112438–112438. 2 indexed citations
3.
Gao, Dehong, Sen Liu, Linbo Jin, et al.. (2024). FashionGPT: LLM instruction fine-tuning with multiple LoRA-adapter fusion. Knowledge-Based Systems. 299. 112043–112043. 9 indexed citations
4.
Ai, Xin, et al.. (2024). MUSE: A Runtime Incrementally Reconfigurable Network Adapting to HPC Real-Time Traffic. 765–779. 1 indexed citations
6.
Ye, J, et al.. (2024). HF^2T: Host-Based Flowlet Fine-Tuning for RDMA Load Balancing. 9–15. 1 indexed citations
7.
Ren, Haohao, Sen Liu, Xuelian Yu, et al.. (2024). Hybrid Reasoning Network With Class-Oriented Hierarchical Representation for Few-Shot SAR Target Recognition. IEEE Sensors Journal. 24(16). 26091–26103. 5 indexed citations
9.
Wang, Yan, et al.. (2023). Task scheduling in the internet of things: challenges, solutions, and future trends. Cluster Computing. 27(1). 1017–1046. 10 indexed citations
10.
Ren, Haohao, Xuelian Yu, Sen Liu, et al.. (2023). Adaptive Convolutional Subspace Reasoning Network for Few-Shot SAR Target Recognition. IEEE Transactions on Geoscience and Remote Sensing. 61. 1–13. 18 indexed citations
11.
Guo, Zehua, et al.. (2022). Maintaining Control Resiliency and Flow Programmability in Software-Defined WANs During Controller Failures. IEEE/ACM Transactions on Networking. 30(3). 969–984. 6 indexed citations
12.
Guo, Zehua, et al.. (2022). SpongeTraining: Achieving High Efficiency and Accuracy for Wireless Edge-Assisted Online Distributed Learning. IEEE Transactions on Mobile Computing. 22(8). 4930–4945. 2 indexed citations
13.
Guo, Zehua, et al.. (2022). Congestion-Aware Critical Gradient Scheduling for Distributed Machine Learning in Data Center Networks. IEEE Transactions on Cloud Computing. 11(3). 2296–2311. 4 indexed citations
14.
Chen, Kuan-Yin, et al.. (2021). SDNShield: NFV-Based Defense Framework Against DDoS Attacks on SDN Control Plane. IEEE/ACM Transactions on Networking. 30(1). 1–17. 21 indexed citations
15.
Guo, Zehua, et al.. (2021). HybridFlow: Achieving Load Balancing in Software-Defined WANs With Scalable Routing. IEEE Transactions on Communications. 69(8). 5255–5268. 18 indexed citations
16.
Guo, Zehua, Yang Xu, Ya‐Feng Liu, et al.. (2020). AggreFlow: Achieving Power Efficiency, Load Balancing, and Quality of Service in Data Center Networks. IEEE/ACM Transactions on Networking. 1–17. 23 indexed citations
17.
Jiang, Rong, et al.. (2020). A Privacy Risk Assessment Model for Medical Big Data Based on Adaptive Neuro-Fuzzy Theory. Security and Communication Networks. 2020. 1–18. 4 indexed citations
18.
Liu, Sen, Jiawei Huang, Wenchao Jiang, Jianxin Wang, & Tian He. (2019). Reducing Flow Completion Time with Replaceable Redundant Packets in Data Center Networks. 46–56. 6 indexed citations
19.
Xu, Yang, et al.. (2019). RAPID: Avoiding TCP Incast Throughput Collapse in Public Clouds With Intelligent Packet Discarding. IEEE Journal on Selected Areas in Communications. 37(8). 1911–1923. 9 indexed citations
20.
Guo, Zehua, Sen Liu, & Zhi-Li Zhang. (2019). Traffic Control for RDMA-Enabled Data Center Networks: A Survey. IEEE Systems Journal. 14(1). 677–688. 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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