Jie Chen

6.5k total citations · 1 hit paper
249 papers, 4.3k citations indexed

About

Jie Chen is a scholar working on Computational Mechanics, Signal Processing and Media Technology. According to data from OpenAlex, Jie Chen has authored 249 papers receiving a total of 4.3k indexed citations (citations by other indexed papers that have themselves been cited), including 103 papers in Computational Mechanics, 73 papers in Signal Processing and 71 papers in Media Technology. Recurrent topics in Jie Chen's work include Advanced Adaptive Filtering Techniques (70 papers), Remote-Sensing Image Classification (57 papers) and Speech and Audio Processing (50 papers). Jie Chen is often cited by papers focused on Advanced Adaptive Filtering Techniques (70 papers), Remote-Sensing Image Classification (57 papers) and Speech and Audio Processing (50 papers). Jie Chen collaborates with scholars based in China, France and United States. Jie Chen's co-authors include Cédric Richard, Xiaoming Huo, Ali H. Sayed, Min Zhao, Yousef Saad, Susanto Rahardja, Paul Honeiné, Jingen Ni, Wei Gao and Wei Chen and has published in prestigious journals such as Bioinformatics, PLoS ONE and NeuroImage.

In The Last Decade

Jie Chen

222 papers receiving 4.2k citations

Hit Papers

Theoretical Results on Sparse Representations of Multiple... 2006 2026 2012 2019 2006 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
Jie Chen China 32 1.6k 1.2k 1.1k 875 784 249 4.3k
Cédric Richard France 30 1.2k 0.7× 964 0.8× 463 0.4× 504 0.6× 846 1.1× 156 3.0k
Panagiotis Tsakalides Greece 26 765 0.5× 880 0.7× 865 0.8× 1.4k 1.6× 389 0.5× 184 3.4k
Jean‐Yves Tourneret France 36 621 0.4× 695 0.6× 2.4k 2.2× 1.5k 1.8× 1.1k 1.4× 242 5.3k
Chong‐Yung Chi Taiwan 33 668 0.4× 990 0.8× 1.2k 1.1× 565 0.6× 565 0.7× 188 4.9k
Zhu Li China 32 1.1k 0.7× 643 0.5× 520 0.5× 2.7k 3.0× 328 0.4× 306 4.2k
Xiao Fu United States 25 882 0.5× 713 0.6× 461 0.4× 681 0.8× 701 0.9× 130 3.7k
James E. Fowler United States 35 1.6k 1.0× 557 0.5× 2.2k 2.0× 3.0k 3.4× 344 0.4× 166 4.8k
Y. Neuvo Finland 31 1.2k 0.7× 2.0k 1.7× 1.4k 1.2× 3.7k 4.2× 594 0.8× 215 5.8k
Susanto Rahardja Singapore 37 354 0.2× 1.8k 1.5× 633 0.6× 2.3k 2.7× 580 0.7× 344 4.6k
Qi Xie China 35 776 0.5× 419 0.3× 1.3k 1.2× 2.5k 2.8× 1.1k 1.4× 164 4.8k

Countries citing papers authored by Jie Chen

Since Specialization
Citations

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

Fields of papers citing papers by Jie Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jie Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Jie Chen. A scholar is included among the top collaborators of Jie 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 Jie Chen. Jie 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.
Chen, Jie, et al.. (2025). Online learning over distributed low-rank networks via sequential power iteration. Digital Signal Processing. 160. 105038–105038. 1 indexed citations
2.
Huang, Yaqi, Yuxiao He, Kelan Yan, et al.. (2025). Leaf-Face Dendrobium Classifier Based on an Integrated Electrochemical Tongue and Machine Learning. ACS Sensors. 10(2). 1043–1052.
3.
Sullivan, Patrick F., Tengfei Li, Bingxin Zhao, et al.. (2025). The X chromosome’s influences on the human brain. Science Advances. 11(4). eadq5360–eadq5360. 2 indexed citations
4.
Wu, Rongyuan, et al.. (2025). Adversarial Diffusion Compression for Real-World Image Super-Resolution. 28208–28220. 1 indexed citations
5.
Gao, Wei, et al.. (2025). SSAF-Net: A Spatial-Spectral Adaptive Fusion Network for Hyperspectral Unmixing With Endmember Variability. IEEE Transactions on Geoscience and Remote Sensing. 63. 1–15. 5 indexed citations
6.
Chen, Jie, et al.. (2024). Distributed speech dereverberation using weighted prediction error. Signal Processing. 225. 109577–109577.
7.
Chen, Jie, et al.. (2024). Integrating Data Priors to Weighted Prediction Error for Speech Dereverberation. IEEE/ACM Transactions on Audio Speech and Language Processing. 32. 3908–3923.
8.
Liu, Shumin, et al.. (2024). Underwater Acoustic Target Classification Using Scattering Transform With Small Sample Size. IEEE Sensors Journal. 24(16). 25998–26010. 3 indexed citations
9.
Liu, Kui, et al.. (2023). An efficient randomized QLP algorithm for approximating the singular value decomposition. Information Sciences. 648. 119464–119464. 3 indexed citations
10.
Chen, Jie, et al.. (2023). Integration of Physics-Based and Data-Driven Models for Hyperspectral Image Unmixing: A summary of current methods. IEEE Signal Processing Magazine. 40(2). 61–74. 51 indexed citations
11.
Chen, Jie, et al.. (2023). Learnable Blur Kernel for Single-Image Defocus Deblurring in the Wild. Proceedings of the AAAI Conference on Artificial Intelligence. 37(3). 3384–3392. 5 indexed citations
12.
Gao, Wei, Jie Chen, & Cédric Richard. (2023). Theoretical Analysis of the Performance of the Data-Reuse RLS Algorithm. IEEE Transactions on Circuits & Systems II Express Briefs. 71(1). 490–494. 4 indexed citations
13.
Qin, D., et al.. (2022). Multiscale object detection in remote sensing image by combining data fusion and feature selection. National Remote Sensing Bulletin. 26(8). 1662–1673. 2 indexed citations
14.
Wang, Xiuheng, Ricardo Augusto Borsoi, Cédric Richard, & Jie Chen. (2022). Deep Image Fusion Accounting for Inter-Image Variability. SPIRE - Sciences Po Institutional REpository. 645–649. 1 indexed citations
15.
Chen, Jie, et al.. (2021). Online Construction of Variable Span Linear Filters Using a Fixed-Point Approach. IEEE Signal Processing Letters. 28. 404–408. 1 indexed citations
16.
Chen, Jie, et al.. (2021). Hyperspectral Image Super-Resolution via Deep Prior Regularization With Parameter Estimation. IEEE Transactions on Circuits and Systems for Video Technology. 32(4). 1708–1723. 64 indexed citations
17.
Chen, Jie, et al.. (2019). Recursive Variable Span Linear Filter for Noise Reduction. IEEE Signal Processing Letters. 26(12). 1902–1906. 3 indexed citations
18.
Song, Yingying, El‐Hadi Djermoune, Jie Chen, Cédric Richard, & David Brie. (2018). Online deconvolution for industrial hyperspectral imaging systems. HAL (Le Centre pour la Communication Scientifique Directe). 1 indexed citations
19.
Wang, Gang, Georgios B. Giannakis, Yousef Saad, & Jie Chen. (2017). Solving (Almost) all Systems of Random Quadratic Equations. arXiv (Cornell University). 1865–1875. 3 indexed citations
20.
Chen, Jie, et al.. (2011). A new scheme to learn a kernel in regularization networks. Neurocomputing. 74(12-13). 2222–2227. 1 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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