Shusen Yang

3.5k total citations · 1 hit paper
93 papers, 2.5k citations indexed

About

Shusen Yang is a scholar working on Computer Networks and Communications, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Shusen Yang has authored 93 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Computer Networks and Communications, 35 papers in Artificial Intelligence and 20 papers in Electrical and Electronic Engineering. Recurrent topics in Shusen Yang's work include Privacy-Preserving Technologies in Data (26 papers), Mobile Crowdsensing and Crowdsourcing (14 papers) and Mobile Ad Hoc Networks (13 papers). Shusen Yang is often cited by papers focused on Privacy-Preserving Technologies in Data (26 papers), Mobile Crowdsensing and Crowdsourcing (14 papers) and Mobile Ad Hoc Networks (13 papers). Shusen Yang collaborates with scholars based in China, United Kingdom and United States. Shusen Yang's co-authors include Julie A. McCann, Xinyu Yang, Zhengguo Sheng, Kin K. Leung, Xuebin Ren, Cong Zhao, Yifan Yu, Athanasios V. Vasilakos, Po-Yu Chen and Weiren Yu and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and Scientific Reports.

In The Last Decade

Shusen Yang

87 papers receiving 2.4k citations

Hit Papers

A survey on the ietf protocol suite for the internet of t... 2013 2026 2017 2021 2013 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
Shusen Yang China 25 1.4k 780 743 327 291 93 2.5k
Matthias Hollick Germany 28 1.7k 1.2× 1.8k 2.3× 693 0.9× 284 0.9× 253 0.9× 242 3.4k
Xiao Liu China 28 1.2k 0.9× 796 1.0× 327 0.4× 258 0.8× 200 0.7× 100 2.2k
Nalini Venkatasubramanian United States 28 2.2k 1.6× 930 1.2× 451 0.6× 695 2.1× 572 2.0× 252 3.3k
Nguyen Cong Luong Vietnam 18 1.2k 0.8× 869 1.1× 1.6k 2.2× 553 1.7× 193 0.7× 65 2.8k
Muhammad Alam China 28 1.2k 0.9× 1.0k 1.3× 526 0.7× 504 1.5× 195 0.7× 121 2.5k
Wen Sun China 30 2.0k 1.4× 1.3k 1.7× 801 1.1× 749 2.3× 272 0.9× 108 3.3k
Claudio Savaglio Italy 27 1.6k 1.2× 528 0.7× 513 0.7× 688 2.1× 459 1.6× 66 2.5k
Dan Liao China 25 1.2k 0.8× 685 0.9× 522 0.7× 724 2.2× 163 0.6× 90 2.3k
Abderrahim Benslimane France 35 2.6k 1.9× 2.0k 2.6× 832 1.1× 642 2.0× 358 1.2× 189 4.1k
Mian Ahmad Jan Pakistan 31 1.6k 1.2× 685 0.9× 650 0.9× 713 2.2× 308 1.1× 108 2.6k

Countries citing papers authored by Shusen Yang

Since Specialization
Citations

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

Fields of papers citing papers by Shusen Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shusen Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Shusen Yang. A scholar is included among the top collaborators of Shusen Yang 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 Shusen Yang. Shusen Yang 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.
Zhao, Cong, et al.. (2025). ShotAdpt: Few-Shot Early Prediction of Battery Cycle Life With Adaptive Feature Reduction. IEEE Transactions on Transportation Electrification. 11(6). 12874–12886.
2.
Wu, Chenglei, Shusen Yang, Cong Zhao, et al.. (2025). A Practical Congestion Control Algorithm for Low-Latency Interactive Video Streaming. 33(3). 1009–1024.
3.
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
4.
Zhao, Peng, et al.. (2024). Generative Model-Based Feature Knowledge Distillation for Action Recognition. Proceedings of the AAAI Conference on Artificial Intelligence. 38(14). 15474–15482.
5.
Zhao, Peng, et al.. (2023). Self-attention-based long temporal sequence modeling method for temporal action detection. Neurocomputing. 554. 126617–126617. 5 indexed citations
6.
Ren, Xuebin, et al.. (2023). Federated multi-objective reinforcement learning. Information Sciences. 624. 811–832. 3 indexed citations
7.
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
8.
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
9.
Yang, Shusen, et al.. (2022). Lightweight Industrial Image Classifier Based on Federated Few-Shot Learning. IEEE Transactions on Industrial Informatics. 19(6). 7367–7376. 15 indexed citations
10.
Holmes, Andrew S., Michail E. Kiziroglou, Shusen Yang, et al.. (2021). Minimally Invasive Online Water Monitor. IEEE Internet of Things Journal. 9(16). 14325–14335. 8 indexed citations
11.
Fan, Jiaxin, Mengying Chen, Shusen Yang, et al.. (2021). The prediction of asymptomatic carotid atherosclerosis with electronic health records: a comparative study of six machine learning models. BMC Medical Informatics and Decision Making. 21(1). 115–115. 17 indexed citations
12.
Zhao, Peng, et al.. (2020). Context-Aware Multi-Criteria Handover at the Software Defined Network Edge for Service Differentiation in Next Generation Wireless Networks. IEEE Transactions on Services Computing. 15(4). 2032–2046. 3 indexed citations
13.
Yang, Shusen, et al.. (2017). Game-Theoretic Optimal Power-Link Quality Topology Control in Wireless Sensor Networks. SHILAP Revista de lepidopterología. 3 indexed citations
14.
Zhao, Cong, Shusen Yang, Xinyu Yang, & Julie A. McCann. (2016). Rapid, User-Transparent, and Trustworthy Device Pairing for D2D-Enabled Mobile Crowdsourcing. IEEE Transactions on Mobile Computing. 16(7). 2008–2022. 15 indexed citations
15.
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
16.
Yang, Shusen, et al.. (2015). UDRF: Multi-Resource Fairness for Complex Jobs with Placement Constraints. 2015 IEEE Global Communications Conference (GLOBECOM). 1–7. 5 indexed citations
17.
Yang, Shusen, et al.. (2014). Self-Optimizing Citizen-Centric Mobile Urban Sensing Systems. 161–167. 15 indexed citations
18.
Zhao, Peng, et al.. (2013). Toward efficient estimation of available bandwidth for IEEE 802.11-based wireless networks. Journal of Network and Computer Applications. 40. 116–125. 7 indexed citations
19.
Wang, Yu, et al.. (2013). Towards energy-efficient cooperative routing algorithms in wireless networks. 6. 79–84. 3 indexed citations
20.
Yang, Shusen, Xinyu Yang, & Peng Zhao. (2008). Data packet header overhead reduction for DSR in mobile ad hoc networks.. International Conference on Wireless Networks. 540–544.

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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