Liyue Shen

6.4k total citations · 2 hit papers
30 papers, 3.9k citations indexed

About

Liyue Shen is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Radiation. According to data from OpenAlex, Liyue Shen has authored 30 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Radiology, Nuclear Medicine and Imaging, 11 papers in Computer Vision and Pattern Recognition and 11 papers in Radiation. Recurrent topics in Liyue Shen's work include Medical Imaging Techniques and Applications (17 papers), Advanced Radiotherapy Techniques (10 papers) and Advanced X-ray and CT Imaging (7 papers). Liyue Shen is often cited by papers focused on Medical Imaging Techniques and Applications (17 papers), Advanced Radiotherapy Techniques (10 papers) and Advanced X-ray and CT Imaging (7 papers). Liyue Shen collaborates with scholars based in United States, Hong Kong and Sweden. Liyue Shen's co-authors include Liang Zheng, Shengjin Wang, Jingdong Wang, Lu Tian, Qi Tian, Lei Xing, Wei Zhao, Serena Yeung, Shih-Cheng Huang and John M. Pauly and has published in prestigious journals such as Nature Communications, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Liyue Shen

28 papers receiving 3.8k citations

Hit Papers

align trajectories

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.

Scalable Person Re-identification: A Benchmark

2015 2.9k citations Liyue Shen et al. profile →
Label-Efficient Self-Supervised Federated Learning for Tackling Data Heterogeneity in Medical Imaging

2023 89 citations Rui Yan, Liangqiong Qu et al. IEEE Transactions on Medical Imaging profile →

Peers

Liyue Shen

CVPR

RNMI

RADIA

Hongming Shan China

Yinghuan Shi China

Wentao Zhu China

Chenyu You United States

Peter M. Roth Austria

Syed Waqas Zamir United Arab Emirates

Shuai Wang China

Yinan Yu Sweden

Orazio Gallo United States

Hongming Shan China

Liyue Shen

1.2k ×0.4

CVPR

1.1k ×0.8

543 ×0.9

1.3k ×2.6

RNMI

120 ×0.7

RADIA

Citations per year, relative to Liyue Shen Liyue Shen (= 1×) peers Hongming Shan

Countries citing papers authored by Liyue Shen

Since Specialization

Citations

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

Fields of papers citing papers by Liyue Shen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liyue Shen

This figure shows the co-authorship network connecting the top 25 collaborators of Liyue Shen. A scholar is included among the top collaborators of Liyue Shen 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 Liyue Shen. Liyue Shen 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

Qiu, Liang, et al.. (2025). ST-NeRP: Spatial–temporal neural representation learning with prior embedding for patient-specific imaging study. Computers in Biology and Medicine. 198(Pt B). 111266–111266.

Xu, Xiaojian, et al.. (2024). Accelerated Wirtinger Flow With Score-Based Image Priors for Holographic Phase Retrieval in Poisson-Gaussian Noise Conditions. IEEE Transactions on Computational Imaging. 10. 1384–1399.

Veen, Dave Van, Jesús G. Galaz-Montoya, Liyue Shen, et al.. (2024). Missing Wedge Completion via Unsupervised Learning with Coordinate Networks. International Journal of Molecular Sciences. 25(10). 5473–5473. 2 indexed citations

Ye, Siqi, Liyue Shen, Md Tauhidul Islam, & Lei Xing. (2023). Super-resolution biomedical imaging via reference-free statistical implicit neural representation. Physics in Medicine and Biology. 68(20). 205020–205020. 3 indexed citations

Chen, Yizheng, Michael F. Gensheimer, H.P. Bagshaw, et al.. (2023). Patient-Specific Auto-segmentation on Daily kVCT Images for Adaptive Radiation Therapy. International Journal of Radiation Oncology*Biology*Physics. 117(2). 505–514. 2 indexed citations

Liu, Lianli, Liyue Shen, Yong Yang, et al.. (2023). Modeling linear accelerator (Linac) beam data by implicit neural representation learning for commissioning and quality assurance applications. Medical Physics. 50(5). 3137–3147. 4 indexed citations

Yan, Rui, Liangqiong Qu, Qingyue Wei, et al.. (2023). Label-Efficient Self-Supervised Federated Learning for Tackling Data Heterogeneity in Medical Imaging. IEEE Transactions on Medical Imaging. 42(7). 1932–1943. 89 indexed citations breakdown →

Song, Bowen, Liyue Shen, & Lei Xing. (2023). PINER: Prior-informed Implicit Neural Representation Learning for Test-time Adaptation in Sparse-view CT Reconstruction. 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). 1928–1937. 9 indexed citations

Islam, Md Tauhidul, Jen‐Yeu Wang, Xiaomeng Li, et al.. (2022). Leveraging data-driven self-consistency for high-fidelity gene expression recovery. Nature Communications. 13(1). 7142–7142. 8 indexed citations

10.

Vasudevan, Varun, Liyue Shen, Charles Huang, et al.. (2022). Implicit neural representation for radiation therapy dose distribution. Physics in Medicine and Biology. 67(12). 125014–125014. 7 indexed citations

11.

Shen, Liyue, Lequan Yu, Wei Zhao, John M. Pauly, & Lei Xing. (2022). Novel-view X-ray projection synthesis through geometry-integrated deep learning. Medical Image Analysis. 77. 102372–102372. 9 indexed citations

12.

Shen, Liyue, Wei Zhao, Dante P. I. Capaldi, John M. Pauly, & Lei Xing. (2022). A geometry-informed deep learning framework for ultra-sparse 3D tomographic image reconstruction. Computers in Biology and Medicine. 148. 105710–105710. 26 indexed citations

13.

Liu, Lianli, Liyue Shen, Adam Johansson, et al.. (2022). Real time volumetric MRI for 3D motion tracking via geometry‐informed deep learning. Medical Physics. 49(9). 6110–6119. 12 indexed citations

14.

Shen, Liyue, Jimmy Zheng, Edward H. Lee, et al.. (2022). Attention-guided deep learning for gestational age prediction using fetal brain MRI. Scientific Reports. 12(1). 1408–1408. 24 indexed citations

15.

Zhao, Wei, Liyue Shen, Md Tauhidul Islam, et al.. (2021). Artificial intelligence in image-guided radiotherapy: a review of treatment target localization. Quantitative Imaging in Medicine and Surgery. 11(12). 4881–4894. 16 indexed citations

16.

Shen, Liyue, Lequan Yu, Wei Zhao, John M. Pauly, & Lei Xing. (2021). Novel-View X-Ray Projection Synthesis Through Geometry-Integrated Deep Learning. International Journal of Radiation Oncology*Biology*Physics. 111(3). e118–e119. 1 indexed citations

17.

Shen, Liyue, Wei Zhao, & Lei Xing. (2019). Patient-specific reconstruction of volumetric computed tomography images from a single projection view via deep learning. Nature Biomedical Engineering. 3(11). 880–888. 193 indexed citations

18.

Zhao, Wei, Liyue Shen, Bin Han, et al.. (2019). Markerless Pancreatic Tumor Target Localization Enabled By Deep Learning. International Journal of Radiation Oncology*Biology*Physics. 105(2). 432–439. 64 indexed citations

19.

Shen, Liyue, Wei Zhao, & Lei Xing. (2019). Harnessing the power of deep learning for volumetric CT imaging with single or limited number of projections. 77–77. 7 indexed citations

20.

Shen, Liyue, Serena Yeung, Judy Hoffman, Greg Mori, & Li Fei-Fei. (2018). Scaling Human-Object Interaction Recognition Through Zero-Shot Learning. 1568–1576. 100 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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