Cen Chen

4.6k total citations
181 papers, 3.3k citations indexed

About

Cen Chen is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Cen Chen has authored 181 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Artificial Intelligence, 43 papers in Electrical and Electronic Engineering and 42 papers in Computer Vision and Pattern Recognition. Recurrent topics in Cen Chen's work include Advanced Neural Network Applications (19 papers), Advanced Optical Network Technologies (17 papers) and Advanced Photonic Communication Systems (13 papers). Cen Chen is often cited by papers focused on Advanced Neural Network Applications (19 papers), Advanced Optical Network Technologies (17 papers) and Advanced Photonic Communication Systems (13 papers). Cen Chen collaborates with scholars based in China, Singapore and United States. Cen Chen's co-authors include Kenli Li, Zeng Zeng, Xiaofeng Zou, Keqin Li, Zuqing Zhu, Sin G. Teo, Shoujiang Ma, Yangfan Li, Xiaoliang Chen and Aijia Ouyang and has published in prestigious journals such as Journal of the American Chemical Society, SHILAP Revista de lepidopterología and Advanced Functional Materials.

In The Last Decade

Cen Chen

166 papers receiving 3.2k 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 29 791 695 599 439 340 181 3.3k
Di Wu China 29 996 1.3× 503 0.7× 1.3k 2.2× 294 0.7× 232 0.7× 166 3.4k
Shengzhong Feng China 30 614 0.8× 745 1.1× 513 0.9× 420 1.0× 140 0.4× 108 2.8k
Yidong Li China 39 298 0.4× 854 1.2× 498 0.8× 947 2.2× 176 0.5× 285 4.7k
Tong Wang China 31 1.3k 1.7× 313 0.5× 607 1.0× 261 0.6× 189 0.6× 345 3.6k
Quan Yuan China 28 654 0.8× 681 1.0× 1.1k 1.8× 414 0.9× 205 0.6× 145 2.7k
Zhiwei Guo China 36 775 1.0× 892 1.3× 492 0.8× 402 0.9× 141 0.4× 136 3.4k
Hongyang Chen China 41 2.5k 3.1× 889 1.3× 1.8k 3.1× 381 0.9× 257 0.8× 305 5.3k
Xinheng Wang China 26 866 1.1× 630 0.9× 1.4k 2.4× 442 1.0× 76 0.2× 207 3.5k
Shengwu Xiong China 32 288 0.4× 1.4k 2.0× 478 0.8× 776 1.8× 149 0.4× 306 4.4k
Yuehui Chen China 33 523 0.7× 1.5k 2.1× 629 1.1× 403 0.9× 135 0.4× 250 3.8k

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
2.
Li, Yangfan, Cen Chen, Hailan Kuang, et al.. (2025). An Adaptive and Scalable Framework for Resource-Efficient Deployment of Mixture of Experts in LLM-Based Intelligent IoT Networks. IEEE Internet of Things Journal. 12(13). 22746–22757.
3.
Wang, Ying, Jingying Nong, Mingming Hu, et al.. (2024). Disseminated tumor cells in bone marrow as predictive classifiers for small cell lung cancer patients. SHILAP Revista de lepidopterología. 4(4). 335–345. 1 indexed citations
4.
Chen, Cen, et al.. (2024). Efficient Point Cloud Video Recognition via Spatio-Temporal Pruning for MEC-Based Consumer Applications. IEEE Transactions on Consumer Electronics. 70(1). 4108–4119. 1 indexed citations
5.
Li, Yangfan, Mengquan Li, Cen Chen, et al.. (2024). SimDiff: Point Cloud Acceleration by Utilizing Spatial Similarity and Differential Execution. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 44(2). 568–581. 1 indexed citations
7.
Zou, Xiaofeng, et al.. (2024). Scalable Heterogeneous Scheduling Based Model Parallelism for Real-Time Inference of Large-Scale Deep Neural Networks. IEEE Transactions on Emerging Topics in Computational Intelligence. 8(4). 2962–2973. 1 indexed citations
8.
Zhou, Xu, et al.. (2023). Learning discriminative multi-relation representations for multimodal sentiment analysis. Information Sciences. 641. 119125–119125. 25 indexed citations
9.
Wei, Lingfei, et al.. (2023). Structural Spectrum of 2D Materials in Solution: Toward Establishing 2D Assemblies’ Digital Factory. Advanced Materials Interfaces. 10(10). 1 indexed citations
10.
Chen, Cen, et al.. (2023). Toward Communication-Efficient Digital Twin via AI-Powered Transmission and Reconstruction. IEEE Journal on Selected Areas in Communications. 41(11). 3624–3635. 12 indexed citations
11.
Luo, Hui, Zhuangwei Zhuang, Yuanqing Li, et al.. (2023). Toward Compact and Robust Model Learning Under Dynamically Perturbed Environments. IEEE Transactions on Circuits and Systems for Video Technology. 34(6). 4857–4873. 3 indexed citations
12.
Zeng, Zeng, Ziyuan Zhao, Yangfan Li, et al.. (2022). CoIn: Correlation Induced Clustering for Cognition of High Dimensional Bioinformatics Data. IEEE Journal of Biomedical and Health Informatics. 27(2). 598–607. 6 indexed citations
13.
Yan, Ming, Jianxi Yang, Cen Chen, et al.. (2021). Enhanced gradient learning for deep neural networks. IET Image Processing. 16(2). 365–377. 1 indexed citations
14.
Li, Liping, Zean Tian, Kenli Li, & Cen Chen. (2020). G-CNN and double-referenced thresholding for detecting time series anomalies. Journal of Intelligent & Fuzzy Systems. 40(3). 3969–3980. 4 indexed citations
15.
Zhou, Yichen, et al.. (2020). ID Preserving Face Super-Resolution Generative Adversarial Networks. IEEE Access. 8. 138373–138381. 5 indexed citations
16.
Zhang, Le, Zhenghua Chen, Wei Cui, et al.. (2020). WiFi-Based Indoor Robot Positioning Using Deep Fuzzy Forests. IEEE Internet of Things Journal. 7(11). 10773–10781. 67 indexed citations
17.
Wang, Kang, et al.. (2019). Multiple convolutional neural networks for multivariate time series prediction. Neurocomputing. 360. 107–119. 137 indexed citations
18.
Zhang, Yin, Yue Liu, Yannan Li, et al.. (2018). Hierarchical and Complex System Entropy Clustering Analysis Based Validation for Traditional Chinese Medicine Syndrome Patterns of Chronic Atrophic Gastritis. The Journal of Alternative and Complementary Medicine. 25(11). 1130–1139. 17 indexed citations
19.
Chen, Cen, et al.. (2017). Scalable Approaches to Home Health Care Scheduling Problems with Uncertainty.. National Conference on Artificial Intelligence. 2 indexed citations
20.
Qu, Qiang, et al.. (2015). Space-Time Aware Behavioral Topic Modeling for Microblog Posts. VBN Forskningsportal (Aalborg Universitet). 38(2). 58–67. 21 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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