Jian‐Feng Cai

12.7k total citations · 2 hit papers
98 papers, 8.7k citations indexed

About

Jian‐Feng Cai is a scholar working on Computational Mechanics, Computer Vision and Pattern Recognition and Biomedical Engineering. According to data from OpenAlex, Jian‐Feng Cai has authored 98 papers receiving a total of 8.7k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Computational Mechanics, 50 papers in Computer Vision and Pattern Recognition and 18 papers in Biomedical Engineering. Recurrent topics in Jian‐Feng Cai's work include Sparse and Compressive Sensing Techniques (56 papers), Image and Signal Denoising Methods (34 papers) and Advanced Image Processing Techniques (20 papers). Jian‐Feng Cai is often cited by papers focused on Sparse and Compressive Sensing Techniques (56 papers), Image and Signal Denoising Methods (34 papers) and Advanced Image Processing Techniques (20 papers). Jian‐Feng Cai collaborates with scholars based in Hong Kong, United States and China. Jian‐Feng Cai's co-authors include Zuowei Shen, Emmanuel J. Candès, Stanley Osher, Hui Ji, Raymond H. Chan, Chaoqiang Liu, Xiaobo Qu, Zhong Chen, Mila Nikolova and Raymond H. Chan and has published in prestigious journals such as Physical Review Letters, Angewandte Chemie International Edition and PLoS ONE.

In The Last Decade

Jian‐Feng Cai

94 papers receiving 8.3k citations

Hit Papers

A Singular Value Thresholding Algorithm for Matrix Comple... 2009 2026 2014 2020 2010 2009 1000 2.0k 3.0k 4.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jian‐Feng Cai Hong Kong 37 4.7k 4.6k 1.5k 1.4k 1.2k 98 8.7k
Zuowei Shen Singapore 48 7.7k 1.6× 6.0k 1.3× 2.0k 1.3× 1.6k 1.1× 1.1k 0.9× 170 12.4k
Zongben Xu China 52 4.1k 0.9× 2.2k 0.5× 2.0k 1.3× 1.3k 0.9× 1.0k 0.9× 301 10.7k
Michal Aharon Israel 10 7.4k 1.6× 4.1k 0.9× 3.3k 2.2× 1.6k 1.2× 870 0.7× 17 11.1k
Yin Zhang China 34 2.9k 0.6× 3.9k 0.8× 839 0.6× 1.8k 1.3× 894 0.7× 291 8.4k
Marc Teboulle Israel 39 3.6k 0.8× 6.8k 1.5× 846 0.6× 2.2k 1.6× 1.5k 1.2× 95 14.9k
Arvind Ganesh India 19 7.7k 1.6× 4.8k 1.0× 2.0k 1.3× 1.3k 0.9× 404 0.3× 43 11.9k
Amir Beck Israel 32 3.6k 0.8× 6.1k 1.3× 813 0.5× 2.3k 1.6× 1.4k 1.2× 83 14.3k
Wotao Yin United States 53 6.9k 1.5× 9.6k 2.1× 1.8k 1.2× 2.9k 2.1× 2.0k 1.7× 176 18.5k
Ronald DeVore United States 44 3.9k 0.8× 5.5k 1.2× 536 0.4× 1.5k 1.1× 381 0.3× 163 13.0k
Justin Romberg United States 25 2.4k 0.5× 4.2k 0.9× 650 0.4× 2.0k 1.4× 641 0.5× 138 7.4k

Countries citing papers authored by Jian‐Feng Cai

Since Specialization
Citations

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

Fields of papers citing papers by Jian‐Feng Cai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jian‐Feng Cai. 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 Jian‐Feng Cai. The network helps show where Jian‐Feng Cai may publish in the future.

Co-authorship network of co-authors of Jian‐Feng Cai

This figure shows the co-authorship network connecting the top 25 collaborators of Jian‐Feng Cai. A scholar is included among the top collaborators of Jian‐Feng Cai 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 Jian‐Feng Cai. Jian‐Feng Cai 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, Xin, et al.. (2023). The differential impact of substantive and symbolic CSR attribution on job satisfaction and turnover intention. Business Ethics the Environment & Responsibility. 32(4). 1233–1246. 10 indexed citations
2.
Cai, Jian‐Feng, et al.. (2023). Provable sample-efficient sparse phase retrieval initialized by truncated power method. Inverse Problems. 39(7). 75008–75008. 1 indexed citations
3.
Cai, Jian‐Feng, et al.. (2022). Solving phase retrieval with random initial guess is nearly as good as by spectral initialization. Applied and Computational Harmonic Analysis. 58. 60–84. 8 indexed citations
4.
Cai, Jian‐Feng, et al.. (2022). Sample-Efficient Sparse Phase Retrieval via Stochastic Alternating Minimization. IEEE Transactions on Signal Processing. 70. 4951–4966. 3 indexed citations
5.
Cai, Jian‐Feng, et al.. (2021). Image restoration: Structured low rank matrix framework for piecewise smooth functions and beyond. Applied and Computational Harmonic Analysis. 56. 26–60. 4 indexed citations
6.
Cai, Jian‐Feng, et al.. (2021). Accelerated Structured Alternating Projections for Robust Spectrally Sparse Signal Recovery. IEEE Transactions on Signal Processing. 69. 809–821. 19 indexed citations
7.
Qiu, Tianyu, Wenjing Liao, Yihui Huang, et al.. (2021). An Automatic Denoising Method for NMR Spectroscopy Based on Low-Rank Hankel Model. IEEE Transactions on Instrumentation and Measurement. 70. 1–12. 14 indexed citations
8.
Cai, Jian‐Feng, et al.. (2020). Data Driven Tight Frame for Compressed Sensing MRI Reconstruction via Off-the-Grid Regularization. SIAM Journal on Imaging Sciences. 13(3). 1272–1301. 9 indexed citations
9.
Cai, Jian‐Feng, et al.. (2019). Toward the Optimal Construction of a Loss Function Without Spurious Local Minima for Solving Quadratic Equations. IEEE Transactions on Information Theory. 66(5). 3242–3260. 10 indexed citations
10.
Cai, Jian‐Feng, et al.. (2019). Accelerated Alternating Projections for Robust Principal Component Analysis. Journal of Machine Learning Research. 20(20). 1–33. 11 indexed citations
11.
Wang, Jin, Wei Xu, Jian‐Feng Cai, et al.. (2019). Multi-Direction Dictionary Learning Based Depth Map Super-Resolution With Autoregressive Modeling. IEEE Transactions on Multimedia. 22(6). 1470–1484. 30 indexed citations
12.
Li, Ji, et al.. (2018). Scalable Incremental Nonconvex Optimization Approach for Phase Retrieval from Minimal Measurements. arXiv (Cornell University). 1 indexed citations
13.
Cai, Jian‐Feng, Tianming Wang, & Ke Wei. (2018). Spectral Compressed Sensing via Projected Gradient Descent. SIAM Journal on Optimization. 28(3). 2625–2653. 39 indexed citations
14.
Cai, Jian‐Feng, Xiaobo Qu, Weiyu Xu, & Gui–Bo Ye. (2016). Robust recovery of complex exponential signals from random Gaussian projections via low rank Hankel matrix reconstruction. Applied and Computational Harmonic Analysis. 41(2). 470–490. 43 indexed citations
15.
Mishra, Kumar Vijay, et al.. (2015). Block Iterative Reweighted Algorithms for Super-Resolution of Spectrally Sparse Signals. IEEE Signal Processing Letters. 22(12). 2319–2323. 13 indexed citations
16.
Liu, Yunsong, Jian‐Feng Cai, Zhifang Zhan, et al.. (2015). Balanced Sparse Model for Tight Frames in Compressed Sensing Magnetic Resonance Imaging. PLoS ONE. 10(4). e0119584–e0119584. 33 indexed citations
17.
Cai, Jian‐Feng, Bin Dong, & Zuowei Shen. (2015). Image restoration: A wavelet frame based model for piecewise smooth functions and beyond. Applied and Computational Harmonic Analysis. 41(1). 94–138. 51 indexed citations
18.
Cai, Jian‐Feng, Hui Ji, Zuowei Shen, & Gui–Bo Ye. (2013). Data-driven tight frame construction and image denoising. Applied and Computational Harmonic Analysis. 37(1). 89–105. 199 indexed citations
19.
Cai, Jian‐Feng, Hui Ji, Chaoqiang Liu, & Zuowei Shen. (2009). High-quality curvelet-based motion deblurring from an image pair. 2009 IEEE Conference on Computer Vision and Pattern Recognition. 4 indexed citations
20.
Cai, Jian‐Feng & Yimin Wei. (2003). Displacement structure of weighted pseudoinverses. Applied Mathematics and Computation. 153(2). 317–335. 3 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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