L. P. Zhou

2.7k total citations · 1 hit paper
49 papers, 1.3k citations indexed

About

L. P. Zhou is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, L. P. Zhou has authored 49 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Vision and Pattern Recognition, 13 papers in Biomedical Engineering and 12 papers in Electrical and Electronic Engineering. Recurrent topics in L. P. Zhou's work include Metamaterials and Metasurfaces Applications (10 papers), Advanced Antenna and Metasurface Technologies (6 papers) and Medical Imaging Techniques and Applications (5 papers). L. P. Zhou is often cited by papers focused on Metamaterials and Metasurfaces Applications (10 papers), Advanced Antenna and Metasurface Technologies (6 papers) and Medical Imaging Techniques and Applications (5 papers). L. P. Zhou collaborates with scholars based in China, United States and Singapore. L. P. Zhou's co-authors include Sensong An, Bowen Zheng, Hualiang Zhang, Mikhail Y. Shalaginov, Clayton Fowler, Hang Li, Hong Tang, Tian Gu, Juejun Hu and Anu Agarwal and has published in prestigious journals such as Journal of the American Chemical Society, Advanced Functional Materials and Analytical Chemistry.

In The Last Decade

L. P. Zhou

44 papers receiving 1.2k citations

Hit Papers

A Deep Learning Approach for Objective-Driven All-Dielect... 2019 2026 2021 2023 2019 50 100 150 200 250
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. A Deep Learning Approach for Objective-Driven All-Dielectric Metasurface Design
    2019 283 citations Sensong An, Clayton Fowler et al. ACS Photonics profile →

Peers

L. P. Zhou
Dianjing Liu United States
Erfan Khoram United States
Yixuan Tan United States
Dayu Zhu United States
Li Jing United States
John Peurifoy United States
Itzik Malkiel Israel
Lianlin Li China
Juan Deng China
Ruijia Xu China
Dianjing Liu United States
L. P. Zhou
Citations per year, relative to L. P. Zhou L. P. Zhou (= 1×) peers Dianjing Liu

Countries citing papers authored by L. P. Zhou

Since Specialization
Citations

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

Fields of papers citing papers by L. P. Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by L. P. Zhou. 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 L. P. Zhou. The network helps show where L. P. Zhou may publish in the future.

Co-authorship network of co-authors of L. P. Zhou

This figure shows the co-authorship network connecting the top 25 collaborators of L. P. Zhou. A scholar is included among the top collaborators of L. P. Zhou 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 L. P. Zhou. L. P. Zhou 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.
2.
Yao, Hao, Dan Wang, Haolan Tao, et al.. (2025). Efficient chiral separation enabled by ultrathin solvent-activated cyclodextrin membranes. Separation and Purification Technology. 378. 134792–134792.
3.
4.
Li, Mengzhou, et al.. (2025). Patch-based dual-domain photon-counting CT data correction with residual-based WGAN-ViT. Physics in Medicine and Biology. 70(4). 45008–45008.
5.
Zhou, L. P., Fang Xu, Jin Zhang, et al.. (2024). Ultrathin cyclodextrin-based nanofiltration membrane with tunable microporosity for antibiotic desalination. Journal of Membrane Science. 715. 123504–123504. 14 indexed citations
6.
Jin, Lei, Jianshu Li, Fang Zhao, et al.. (2024). SynSP: Synergy of Smoothness and Precision in Pose Sequences Refinement. 1824–1833.
7.
Zhou, L. P., et al.. (2024). Gradient Guided Co-Retention Feature Pyramid Network for LDCT Image Denoising. Lecture notes in computer science. 15012. 153–163. 2 indexed citations
8.
Wang, Dayang, et al.. (2024). LoMAE: Simple Streamlined Low-Level Masked Autoencoders for Robust, Generalized, and Interpretable Low-Dose CT Denoising. IEEE Journal of Biomedical and Health Informatics. 28(11). 6815–6827. 2 indexed citations
9.
Zhou, L. P., et al.. (2024). Rapid solvent transport and tunable molecular sieving enabled by ultrathin alkyl-chain-engineered polyamide membranes. Chemical Engineering Science. 302. 120925–120925. 3 indexed citations
10.
Wang, Dayang, et al.. (2024). Physics-Informed Score-Based Diffusion Model for Limited-Angle Reconstruction of Cardiac Computed Tomography. IEEE Transactions on Medical Imaging. 44(9). 3629–3640. 4 indexed citations
11.
Kim, Daeho, et al.. (2023). Near Real-Time 3D Reconstruction and Quality 3D Point Cloud for Time-Critical Construction Monitoring. Buildings. 13(2). 464–464. 5 indexed citations
12.
An, Sensong, Bowen Zheng, Hong Tang, et al.. (2022). Ultrawideband Schiffman Phase Shifter Designed With Deep Neural Networks. IEEE Transactions on Microwave Theory and Techniques. 70(11). 4694–4705. 7 indexed citations
13.
An, Sensong, Bowen Zheng, Mikhail Y. Shalaginov, et al.. (2021). Deep Convolutional Neural Networks to Predict Mutual Coupling Effects in Metasurfaces. Advanced Optical Materials. 10(3). 68 indexed citations
14.
An, Sensong, Bowen Zheng, Hong Tang, et al.. (2021). Multifunctional Metasurface Design with a Generative Adversarial Network. Advanced Optical Materials. 9(5). 147 indexed citations
15.
An, Sensong, Bowen Zheng, Mikhail Y. Shalaginov, et al.. (2020). Deep learning modeling approach for metasurfaces with high degrees of freedom. Optics Express. 28(21). 31932–31932. 108 indexed citations
16.
Zhang, Xiaohu, Dongliang Tang, L. P. Zhou, et al.. (2020). A quasi-continuous all-dielectric metasurface for broadband and high-efficiency holographic images. Journal of Physics D Applied Physics. 53(46). 465105–465105. 10 indexed citations
17.
An, Sensong, Clayton Fowler, Bowen Zheng, et al.. (2019). A Deep Learning Approach for Objective-Driven All-Dielectric Metasurface Design. ACS Photonics. 6(12). 3196–3207. 283 indexed citations breakdown →
18.
Zhang, Xiaohu, Gaofeng Liang, Danqi Feng, L. P. Zhou, & Yongcai Guo. (2019). Ultra-broadband metasurface holography via quasi-continuous nano-slits. Journal of Physics D Applied Physics. 53(10). 104002–104002. 12 indexed citations
19.
Liang, Zhengfa, Yiliu Feng, Yulan Guo, et al.. (2017). Learning Deep Correspondence through Prior and Posterior Feature Constancy. arXiv (Cornell University). 18 indexed citations
20.
Zhou, L. P., et al.. (2010). Evidence Theory of One-Dimensional Compression KNN Classification Method. Advanced materials research. 143-144. 1337–1341. 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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