Cen Chen

656 total citations
43 papers, 349 citations indexed

About

Cen Chen is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Cen Chen has authored 43 papers receiving a total of 349 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Artificial Intelligence, 7 papers in Computer Vision and Pattern Recognition and 6 papers in Information Systems. Recurrent topics in Cen Chen's work include Privacy-Preserving Technologies in Data (15 papers), Adversarial Robustness in Machine Learning (8 papers) and Topic Modeling (6 papers). Cen Chen is often cited by papers focused on Privacy-Preserving Technologies in Data (15 papers), Adversarial Robustness in Machine Learning (8 papers) and Topic Modeling (6 papers). Cen Chen collaborates with scholars based in China, United States and Singapore. Cen Chen's co-authors include Shih-Fen Cheng, Archan Misra, Yinfei Yang, Forrest Sheng Bao, Hoong Chuin Lau, Deepthi Chander, Koustuv Dasgupta, Jun Zhou, Xiaolong Li and Aldy Gunawan and has published in prestigious journals such as Scientific Reports, International Journal of Computer Vision and Neurocomputing.

In The Last Decade

Cen Chen

33 papers receiving 339 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Cen Chen China 11 215 102 62 62 53 43 349
Slawomir Goryczka United States 8 299 1.4× 177 1.7× 78 1.3× 67 1.1× 40 0.8× 11 385
Yexuan Shi China 10 126 0.6× 84 0.8× 22 0.4× 64 1.0× 45 0.8× 16 300
Ioannis Boutsis Greece 11 139 0.6× 217 2.1× 37 0.6× 145 2.3× 80 1.5× 32 393
Xiao Pan China 9 288 1.3× 63 0.6× 141 2.3× 77 1.2× 35 0.7× 38 369
Sina Shaham United States 7 285 1.3× 36 0.4× 84 1.4× 36 0.6× 57 1.1× 18 386
Maryam Pouryazdan Canada 8 169 0.8× 238 2.3× 46 0.7× 116 1.9× 78 1.5× 12 410
Mingyuan Yan United States 11 155 0.7× 142 1.4× 67 1.1× 82 1.3× 83 1.6× 32 488
Bhuvan Bamba United States 9 351 1.6× 80 0.8× 151 2.4× 53 0.9× 109 2.1× 22 534
Tanzima Hashem Bangladesh 13 192 0.9× 60 0.6× 96 1.5× 100 1.6× 64 1.2× 46 458

Countries citing papers authored by Cen Chen

Since Specialization
Citations

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

Fields of papers citing papers by Cen Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cen Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Cen Chen. A scholar is included among the top collaborators of Cen Chen 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 Cen Chen. Cen Chen 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.
Hu, Zhanyi, et al.. (2025). A Review and Experimental Evaluation on Split Learning. Future Internet. 17(2). 87–87. 3 indexed citations
3.
Fan, Mingyuan, Chengyu Wang, Cen Chen, Yang Liu, & Jun Huang. (2025). On the Trustworthiness Landscape of State-of-the-art Generative Models: A Survey and Outlook. International Journal of Computer Vision. 133(7). 4317–4348.
4.
Chen, Cen, et al.. (2025). Cross-sectional study of proteomic differences between moderate and severe psoriasis. Scientific Reports. 15(1). 3387–3387. 1 indexed citations
5.
Huang, Wei, et al.. (2024). Privacy Evaluation Benchmarks for NLP Models. 2615–2636.
6.
Wang, Yanhao, et al.. (2024). DPSW-Sketch: A Differentially Private Sketch Framework for Frequency Estimation over Sliding Windows. arXiv (Cornell University). 3255–3266.
7.
Chen, Cen, et al.. (2024). BapFL: You can Backdoor Personalized Federated Learning. ACM Transactions on Knowledge Discovery from Data. 18(7). 1–17. 3 indexed citations
8.
Wang, Chengyu, Bingyan Liu, Xinyi Zou, et al.. (2024). PAI-Diffusion: Constructing and Serving a Family of Open Chinese Diffusion Models for Text-to-image Synthesis on the Cloud. 1–8. 2 indexed citations
9.
Fan, Mingyuan, et al.. (2024). LST2A: Lexical-Syntactic Targeted Adversarial Attack for Texts. 3463–3473.
11.
Cheng, Dawei, et al.. (2023). Predicting stock market trends with self-supervised learning. Neurocomputing. 568. 127033–127033. 10 indexed citations
12.
Wang, Yanhao, et al.. (2023). A Customized Text Sanitization Mechanism with Differential Privacy. 5747–5758. 10 indexed citations
13.
Liu, Tingting, Chengyu Wang, Minghui Qiu, et al.. (2023). Resizing codebook of vector quantization without retraining. Multimedia Systems. 29(3). 1499–1512. 1 indexed citations
14.
Chen, Cen, et al.. (2023). A Fast Density Peak Clustering Method for Power Data Security Detection Based on Local Outlier Factors. Processes. 11(7). 2036–2036. 4 indexed citations
15.
Wang, Yanhao, et al.. (2023). Federated Submodular Maximization With Differential Privacy. IEEE Internet of Things Journal. 11(2). 1827–1839. 1 indexed citations
16.
Tao, Bo, Cen Chen, & Huimin Chen. (2023). Communication Efficient Federated Learning via Channel-wise Dynamic Pruning. 1–6. 2 indexed citations
17.
Zhou, Jun, Chaochao Chen, Yan Wang, et al.. (2022). Toward Scalable and Privacy-preserving Deep Neural Network via Algorithmic-Cryptographic Co-design. ACM Transactions on Intelligent Systems and Technology. 13(4). 1–21. 2 indexed citations
18.
Liu, Tingting, et al.. (2022). Understanding Long Programming Languages with Structure-Aware Sparse Attention. Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval. 2093–2098. 1 indexed citations
19.
Chen, Cen, Yinfei Yang, Jun Zhou, Xiaolong Li, & Forrest Sheng Bao. (2018). Cross-Domain Review Helpfulness Prediction Based on Convolutional Neural Networks with Auxiliary Domain Discriminators. 602–607. 33 indexed citations
20.
Chen, Cen, Shih-Fen Cheng, Hoong Chuin Lau, & Archan Misra. (2015). Towards city-scale mobile crowdsourcing: task recommendations under trajectory uncertainties. International Conference on Artificial Intelligence. 1113–1119. 29 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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