Yifei Lou

3.8k total citations
80 papers, 2.2k citations indexed

About

Yifei Lou is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Yifei Lou has authored 80 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Computer Vision and Pattern Recognition, 33 papers in Computational Mechanics and 25 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Yifei Lou's work include Sparse and Compressive Sensing Techniques (31 papers), Medical Imaging Techniques and Applications (22 papers) and Image and Signal Denoising Methods (17 papers). Yifei Lou is often cited by papers focused on Sparse and Compressive Sensing Techniques (31 papers), Medical Imaging Techniques and Applications (22 papers) and Image and Signal Denoising Methods (17 papers). Yifei Lou collaborates with scholars based in United States, China and France. Yifei Lou's co-authors include Jack Xin, Penghang Yin, Andrea L. Bertozzi, Qi He, Stanley Osher, Ming Yan, Xun Jia, Xiaoqun Zhang, Tieyong Zeng and Steve Jiang and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Transactions on Signal Processing and International Journal of Radiation Oncology*Biology*Physics.

In The Last Decade

Yifei Lou

72 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yifei Lou United States	25	1.0k	994	587	520	327	80	2.2k
James G. Nagy United States	26	905 0.9×	1.1k 1.1×	445 0.8×	266 0.5×	351 1.1×	107	2.5k
Ulugbek S. Kamilov United States	24	710 0.7×	744 0.7×	793 1.4×	488 0.9×	200 0.6×	104	2.2k
Laurent Demanet United States	21	639 0.6×	1.8k 1.8×	292 0.5×	259 0.5×	753 2.3×	74	3.5k
Gerlind Plonka Germany	23	559 0.6×	1.1k 1.1×	162 0.3×	130 0.3×	318 1.0×	95	1.8k
Gabriele Steidl Germany	21	707 0.7×	964 1.0×	185 0.3×	191 0.4×	180 0.6×	85	1.9k
Laure Blanc-Féraud France	13	445 0.4×	1.3k 1.3×	372 0.6×	305 0.6×	383 1.2×	45	2.1k
Jinjun Xu United States	4	661 0.7×	905 0.9×	233 0.4×	197 0.4×	361 1.1×	6	1.4k
C. R. Vogel United States	14	834 0.8×	1.1k 1.1×	459 0.8×	291 0.6×	227 0.7×	29	2.4k
Valérie R. Wajs France	2	1.2k 1.2×	654 0.7×	362 0.6×	184 0.4×	136 0.4×	2	1.9k
Laure Blanc‐Féraud France	17	426 0.4×	774 0.8×	321 0.5×	158 0.3×	309 0.9×	65	1.4k

Countries citing papers authored by Yifei Lou

Since Specialization

Citations

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

Fields of papers citing papers by Yifei Lou

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yifei Lou

This figure shows the co-authorship network connecting the top 25 collaborators of Yifei Lou. A scholar is included among the top collaborators of Yifei Lou 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 Yifei Lou. Yifei Lou is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Xu, Zhenhao, Shan Li, Peng Lin, Heng Shi, & Yifei Lou. (2025). Partition feature extraction of hyperspectral images for in situ intelligent lithology identification. Journal of Rock Mechanics and Geotechnical Engineering. 17(12). 7736–7752.

Zheng, Huiwen, et al.. (2024). A Scale-Invariant Relaxation in Low-Rank Tensor Recovery with an Application to Tensor Completion. SIAM Journal on Imaging Sciences. 17(1). 756–783. 4 indexed citations

Wang, Chao, et al.. (2024). Poissonian Image Restoration Via the $$L_1/L_2$$-Based Minimization. Journal of Scientific Computing. 101(1).

Lou, Yifei, et al.. (2023). Difference of anisotropic and isotropic TV for segmentation under blur and Poisson noise. Frontiers in Computer Science. 5. 1 indexed citations

Hu, Mengqi, Yifei Lou, Bao Wang, et al.. (2023). Accelerated Sparse Recovery via Gradient Descent with Nonlinear Conjugate Gradient Momentum. Journal of Scientific Computing. 95(1). 2 indexed citations

Chen, Bohan, Yifei Lou, Andrea L. Bertozzi, & Jocelyn Chanussot. (2023). Graph-Based Active Learning for Nearly Blind Hyperspectral Unmixing. IEEE Transactions on Geoscience and Remote Sensing. 61. 1–16. 4 indexed citations

Hu, Jingwei, et al.. (2023). Implicit Regularization Effects of the Sobolev Norms in Image Processing. 3(1). 79–107. 1 indexed citations

Tao, Min, et al.. (2022). Minimizing L ₁ over L ₂ norms on the gradient. Inverse Problems. 38(6). 65011–65011. 13 indexed citations

Huang, Siyu, et al.. (2022). Combining Dynamic Mode Decomposition and Difference-in-Differences in an Analysis of At-Risk Youth. 2022 IEEE International Conference on Big Data (Big Data). 4664–4673.

10.

Minkoff, Susan E., et al.. (2021). An improved seismic data completion algorithm using low-rank tensor optimization: Cost reduction and optimal data orientation. Geophysics. 86(3). V219–V232. 11 indexed citations

11.

Tao, Min, et al.. (2021). Limited-Angle CT Reconstruction via the $L_1/L_2$ Minimization. SIAM Journal on Imaging Sciences. 14(2). 749–777. 40 indexed citations

12.

Yan, Ming, et al.. (2020). Accelerated Schemes for the $L_1/L_2$ Minimization. IEEE Transactions on Signal Processing. 68. 2660–2669. 43 indexed citations

13.

Qin, Jing, et al.. (2020). Blind Hyperspectral Unmixing Based on Graph Total Variation Regularization. IEEE Transactions on Geoscience and Remote Sensing. 59(4). 3338–3351. 30 indexed citations

14.

Liu, Jingjing, Yifei Lou, Guoxi Ni, & Tieyong Zeng. (2020). An image sharpening operator combined with framelet for image deblurring. Inverse Problems. 36(4). 45015–45015. 19 indexed citations

15.

Qin, Jing & Yifei Lou. (2019). L 1-2 Regularized Logistic Regression. IEEE Conference Proceedings. 2019. 779–783. 4 indexed citations

16.

Chang, Huibin, Yifei Lou, Yuping Duan, & Stefano Marchesini. (2018). Total Variation--Based Phase Retrieval for Poisson Noise Removal. SIAM Journal on Imaging Sciences. 11(1). 24–55. 54 indexed citations

17.

Zhou, Yuhong, Fang Qiu, Feng Ni, et al.. (2016). Curve matching approaches to waveform classification: a case study using ICESat data. GIScience & Remote Sensing. 53(6). 739–758. 1 indexed citations

18.

Jia, Xun, Yifei Lou, John H. Lewis, et al.. (2010). GPU-based Cone Beam CT Reconstruction via Total Variation Regularization. arXiv (Cornell University). 5 indexed citations

19.

Jia, Xun, Yifei Lou, Bin Dong, Zhen Tian, & Steve Jiang. (2010). 4D Computed Tomography Reconstruction from Few-Projection Data via Temporal Non-local Regularization. Lecture notes in computer science. 13(Pt 1). 143–150. 38 indexed citations

20.

Lou, Yifei & Panagiotis D. Christofides. (2005). Feedback Control of Surface Roughness Using Stochastic PDEs (R&D Note). AIChE Journal. 345.

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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