Lixing Yu

874 total citations
20 papers, 605 citations indexed

About

Lixing Yu is a scholar working on Artificial Intelligence, Computer Networks and Communications and Electrical and Electronic Engineering. According to data from OpenAlex, Lixing Yu has authored 20 papers receiving a total of 605 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 8 papers in Computer Networks and Communications and 7 papers in Electrical and Electronic Engineering. Recurrent topics in Lixing Yu's work include Privacy-Preserving Technologies in Data (6 papers), Advanced MIMO Systems Optimization (4 papers) and Blockchain Technology Applications and Security (4 papers). Lixing Yu is often cited by papers focused on Privacy-Preserving Technologies in Data (6 papers), Advanced MIMO Systems Optimization (4 papers) and Blockchain Technology Applications and Security (4 papers). Lixing Yu collaborates with scholars based in United States, China and Canada. Lixing Yu's co-authors include Pan Li, Qianlong Wang, Yifan Guo, Tianxi Ji, Changqing Luo, Weixian Liao, Xufei Wang, Jinlong Ji, Ming Li and Geyong Min and has published in prestigious journals such as IEEE Access, IEEE Transactions on Wireless Communications and Neural Networks.

In The Last Decade

Lixing Yu

19 papers receiving 589 citations

Peers

Lixing Yu
Zhiqiang Xu China
Xiaohui Wei China
Jianchun Liu China
Suresh Kallam India
Julian Bunn United States
Feibo Jiang China
Mohuya Chakraborty India
Riadh Ksantini Canada
Zhiqiang Xu China
Lixing Yu
Citations per year, relative to Lixing Yu Lixing Yu (= 1×) peers Zhiqiang Xu

Countries citing papers authored by Lixing Yu

Since Specialization
Citations

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

Fields of papers citing papers by Lixing Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lixing Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Lixing Yu. A scholar is included among the top collaborators of Lixing Yu 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 Lixing Yu. Lixing Yu 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.
Yu, Lixing, et al.. (2025). FedELR: When federated learning meets learning with noisy labels. Neural Networks. 187. 107275–107275. 1 indexed citations
2.
Ji, Tianxi, Changqing Luo, Lixing Yu, et al.. (2022). Energy-Efficient Computation Offloading in Mobile Edge Computing Systems With Uncertainties. IEEE Transactions on Wireless Communications. 21(8). 5717–5729. 34 indexed citations
3.
Guo, Yifan, Lixing Yu, Qianlong Wang, et al.. (2021). Weak Signal Detection in 5G+ Systems. 201–210. 2 indexed citations
4.
Wang, Qianlong, Yifan Guo, Xufei Wang, et al.. (2020). AI at the Edge: Blockchain-Empowered Secure Multiparty Learning With Heterogeneous Models. IEEE Internet of Things Journal. 7(10). 9600–9610. 57 indexed citations
5.
Yu, Lixing, Ming Li, Wenqiang Jin, et al.. (2020). STEP: A Spatio-Temporal Fine-Granular User Traffic Prediction System for Cellular Networks. IEEE Transactions on Mobile Computing. 20(12). 3453–3466. 50 indexed citations
6.
Ji, Tianxi, Changqing Luo, Yifan Guo, et al.. (2020). Community Detection in Online Social Networks: A Differentially Private and Parsimonious Approach. IEEE Transactions on Computational Social Systems. 7(1). 151–163. 23 indexed citations
7.
Wang, Qianlong, Tianxi Ji, Yifan Guo, et al.. (2020). TrafficChain: A Blockchain-Based Secure and Privacy-Preserving Traffic Map. IEEE Access. 8. 60598–60612. 27 indexed citations
8.
Wang, Qianlong, Yifan Guo, Lixing Yu, Xuhui Chen, & Pan Li. (2020). Deep Q-Network-Based Feature Selection for Multisourced Data Cleaning. IEEE Internet of Things Journal. 8(21). 16153–16164. 7 indexed citations
9.
Yu, Lixing, Yifan Guo, Qianlong Wang, et al.. (2020). Spectrum Availability Prediction for Cognitive Radio Communications: A DCG Approach. IEEE Transactions on Cognitive Communications and Networking. 6(2). 476–485. 27 indexed citations
10.
Guo, Yifan, Tianxi Ji, Qianlong Wang, et al.. (2020). Unsupervised Anomaly Detection in IoT Systems for Smart Cities. IEEE Transactions on Network Science and Engineering. 7(4). 2231–2242. 47 indexed citations
11.
Wang, Xufei, Weixian Liao, Yifan Guo, et al.. (2019). PerRNN: Personalized Recurrent Neural Networks for Acceleration-Based Human Activity Recognition. 1–6. 11 indexed citations
12.
Ji, Jinlong, Xuhui Chen, Qianlong Wang, Lixing Yu, & Pan Li. (2019). Learning to Learn Gradient Aggregation by Gradient Descent. 2614–2620. 15 indexed citations
13.
Guo, Yifan, Tianxi Ji, Qianlong Wang, Lixing Yu, & Pan Li. (2019). Quantized Adversarial Training: An Iterative Quantized Local Search Approach. 1066–1071. 5 indexed citations
14.
Yu, Lixing, Jinlong Ji, Yifan Guo, et al.. (2019). Smart Communications in Heterogeneous Spacecraft Networks: A Blockchain Based Secure Auction Approach. 1–4. 3 indexed citations
15.
Yu, Lixing, Wenqiang Jin, Ming Li, & Pan Li. (2019). Exploring Spatial-Temporal Patterns From Individual User Cellular Traffic. 1–2.
16.
Chen, Xuhui, Jinlong Ji, Lixing Yu, Changqing Luo, & Pan Li. (2018). SecureNets: Secure Inference of Deep Neural Networks on an Untrusted Cloud.. Asian Conference on Machine Learning. 646–661. 3 indexed citations
17.
Guo, Yifan, Weixian Liao, Qianlong Wang, et al.. (2018). Multidimensional Time Series Anomaly Detection: A GRU-based Gaussian Mixture Variational Autoencoder Approach. Asian Conference on Machine Learning. 97–112. 67 indexed citations
18.
Luo, Changqing, Jinlong Ji, Qianlong Wang, Lixing Yu, & Pan Li. (2018). Online Power Control for 5G Wireless Communications: A Deep Q-Network Approach. 1–6. 33 indexed citations
19.
Wang, Qianlong, Yifan Guo, Lixing Yu, & Pan Li. (2017). Earthquake Prediction Based on Spatio-Temporal Data Mining: An LSTM Network Approach. IEEE Transactions on Emerging Topics in Computing. 8(1). 148–158. 159 indexed citations
20.
Yu, Lixing, Qianlong Wang, Yifan Guo, & Pan Li. (2017). Spectrum availability prediction in cognitive aerospace communications: A deep learning perspective. 1–4. 34 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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