Xuebin Ren

1.3k total citations
49 papers, 770 citations indexed

About

Xuebin Ren is a scholar working on Artificial Intelligence, Computer Science Applications and Computer Networks and Communications. According to data from OpenAlex, Xuebin Ren has authored 49 papers receiving a total of 770 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Artificial Intelligence, 13 papers in Computer Science Applications and 9 papers in Computer Networks and Communications. Recurrent topics in Xuebin Ren's work include Privacy-Preserving Technologies in Data (32 papers), Mobile Crowdsensing and Crowdsourcing (13 papers) and Cryptography and Data Security (8 papers). Xuebin Ren is often cited by papers focused on Privacy-Preserving Technologies in Data (32 papers), Mobile Crowdsensing and Crowdsourcing (13 papers) and Cryptography and Data Security (8 papers). Xuebin Ren collaborates with scholars based in China, United Kingdom and United States. Xuebin Ren's co-authors include Shusen Yang, Xinyu Yang, Cong Zhao, Weiren Yu, Julie A. McCann, Wei Yu, Chia-Mu Yu, Philip S. Yu, Teng Wang and Peng Zhao and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Scientific Reports and Communications of the ACM.

In The Last Decade

Xuebin Ren

45 papers receiving 753 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Xuebin Ren China	15	541	167	153	151	140	49	770
Jianfeng Lu China	14	221 0.4×	148 0.9×	114 0.7×	108 0.7×	118 0.8×	93	631
Liyue Fan United States	12	576 1.1×	131 0.8×	135 0.9×	305 2.0×	140 1.0×	39	794
Hakima Ould‐Slimane Canada	9	526 1.0×	214 1.3×	142 0.9×	70 0.5×	66 0.5×	32	709
Hangyu Zhu China	7	682 1.3×	119 0.7×	88 0.6×	92 0.6×	61 0.4×	13	806
X. Sean Wang United States	11	315 0.6×	139 0.8×	91 0.6×	87 0.6×	124 0.9×	15	490
Bowen Zhao China	14	445 0.8×	143 0.9×	73 0.5×	368 2.4×	98 0.7×	44	707
Sonia Ben Mokhtar France	15	322 0.6×	374 2.2×	96 0.6×	100 0.7×	116 0.8×	37	775
Weina Wang United States	14	241 0.4×	349 2.1×	140 0.9×	85 0.6×	70 0.5×	59	695
Qasim Ali Arain Pakistan	15	265 0.5×	191 1.1×	313 2.0×	79 0.5×	72 0.5×	37	676

Countries citing papers authored by Xuebin Ren

Since Specialization

Citations

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

Fields of papers citing papers by Xuebin Ren

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xuebin Ren

This figure shows the co-authorship network connecting the top 25 collaborators of Xuebin Ren. A scholar is included among the top collaborators of Xuebin Ren 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 Xuebin Ren. Xuebin Ren is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Wang, Hao, Xiaoyu Zhang, Xuebin Ren, et al.. (2025). Federated Metadata-Constrained iRadonMAP Framework with Mutual Learning for All-in-One Computed Tomography Imaging. Cyborg and Bionic Systems. 6. 376–376.

Guo, Xiaoyun, et al.. (2025). FedImpute: Personalized federated learning for data imputation with clusterer and auxiliary classifier. Expert Systems with Applications. 270. 126543–126543. 1 indexed citations

Zhou, Zihao, et al.. (2025). Review of Mathematical Optimization in Federated Learning. 6(2). 207–249. 2 indexed citations

Li, Fang, et al.. (2025). Learning Adaptive Multi-Timescale Scheduling for Mobile Edge Computing. IEEE Transactions on Mobile Computing. 24(8). 7297–7311. 1 indexed citations

Li, Fang, et al.. (2024). EdgeTimer: Adaptive Multi-Timescale Scheduling in Mobile Edge Computing with Deep Reinforcement Learning. 671–680. 2 indexed citations

Zhao, Peng, et al.. (2024). FedGen: Personalized federated learning with data generation for enhanced model customization and class imbalance. Future Generation Computer Systems. 164. 107595–107595. 2 indexed citations

Yang, Shusen, et al.. (2024). Reducing Traffic Wastage in Video Streaming via Bandwidth-Efficient Bitrate Adaptation. IEEE Transactions on Mobile Computing. 23(11). 10361–10377. 3 indexed citations

Ren, Xuebin, et al.. (2023). Federated multi-objective reinforcement learning. Information Sciences. 624. 811–832. 3 indexed citations

Ren, Xuebin, et al.. (2023). Quantum-aided secure deep neural network inference on real quantum computers. Scientific Reports. 13(1). 19130–19130. 3 indexed citations

10.

Li, Yanan, et al.. (2023). Multi-Stage Asynchronous Federated Learning With Adaptive Differential Privacy. IEEE Transactions on Pattern Analysis and Machine Intelligence. 46(2). 1243–1256. 14 indexed citations

11.

Zhou, Zihao, Yanan Li, Xuebin Ren, & Shusen Yang. (2022). Towards Efficient and Stable K-Asynchronous Federated Learning With Unbounded Stale Gradients on Non-IID Data. IEEE Transactions on Parallel and Distributed Systems. 33(12). 3291–3305. 43 indexed citations

12.

Ren, Xuebin, et al.. (2022). MPDM: A Multi-Paradigm Deployment Model for Large-Scale Edge-Cloud Intelligence. IEEE Internet of Things Journal. 10(10). 8773–8785. 7 indexed citations

13.

Han, Qing, et al.. (2022). ECCVideo: A Scalable Edge Cloud Collaborative Video Analysis System. IEEE Intelligent Systems. 38(1). 34–44. 5 indexed citations

14.

Zhao, Cong, et al.. (2021). Exploration Across Small Silos: Federated Few-Shot Learning on Network Edge. IEEE Network. 36(1). 159–165. 5 indexed citations

15.

Ren, Xuebin, et al.. (2020). Latent Dirichlet Allocation Model Training With Differential Privacy. IEEE Transactions on Information Forensics and Security. 16. 1290–1305. 23 indexed citations

16.

Yang, Shusen, et al.. (2019). Bayesian network-based high-dimensional crowdsourced data publication with local differential privacy. Scientia Sinica Informationis. 49(12). 1586–1605. 8 indexed citations

17.

Wang, Teng, Xinyu Yang, Xuebin Ren, Wei Yu, & Shusen Yang. (2019). Locally Private High-Dimensional Crowdsourced Data Release Based on Copula Functions. IEEE Transactions on Services Computing. 15(2). 778–792. 24 indexed citations

18.

Ren, Xuebin, Chia-Mu Yu, Weiren Yu, et al.. (2016). High-Dimensional Crowdsourced Data Distribution Estimation with Local Privacy. Spiral (Imperial College London). 226–233. 13 indexed citations

19.

Yang, Xinyu, et al.. (2015). A novel temporal perturbation based privacy-preserving scheme for real-time monitoring systems. Computer Networks. 88. 72–88. 10 indexed citations

20.

Ren, Xuebin, Xinyu Yang, Jie Lin, Qingyu Yang, & Wei Yu. (2013). On Scaling Perturbation Based Privacy-Preserving Schemes in Smart Metering Systems. 1–7. 11 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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