Chenyu You

4.8k total citations · 2 hit papers
53 papers, 2.2k citations indexed

About

Chenyu You is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Chenyu You has authored 53 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Computer Vision and Pattern Recognition, 25 papers in Artificial Intelligence and 23 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Chenyu You's work include Topic Modeling (12 papers), Medical Imaging Techniques and Applications (10 papers) and Medical Image Segmentation Techniques (9 papers). Chenyu You is often cited by papers focused on Topic Modeling (12 papers), Medical Imaging Techniques and Applications (10 papers) and Medical Image Segmentation Techniques (9 papers). Chenyu You collaborates with scholars based in United States, China and United Kingdom. Chenyu You's co-authors include Bo Wang, Lin Han, Yuting He, Jun Ma, Lawrence H. Staib, Ruihan Zhao, James S. Duncan, Yuan Zhou, Ge Wang and James S. Duncan and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Chenyu You

50 papers receiving 2.2k citations

Hit Papers

Segment anything in medical images 2022 2026 2023 2024 2024 2022 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chenyu You United States 20 1.0k 828 757 387 218 53 2.2k
María A. Zuluaga France 19 818 0.8× 705 0.9× 988 1.3× 290 0.7× 224 1.0× 76 2.4k
Nabil Ibtehaz Bangladesh 15 804 0.8× 795 1.0× 644 0.9× 425 1.1× 270 1.2× 29 2.2k
J. Shin United States 7 848 0.8× 1.0k 1.3× 1.1k 1.5× 271 0.7× 246 1.1× 7 2.5k
Idit Diamant Israel 11 686 0.7× 752 0.9× 868 1.1× 219 0.6× 144 0.7× 19 1.9k
Ozan Oktay United Kingdom 16 1.3k 1.3× 1.3k 1.6× 817 1.1× 475 1.2× 324 1.5× 29 2.7k
Evgin Göçeri Türkiye 29 713 0.7× 628 0.8× 663 0.9× 250 0.6× 235 1.1× 52 1.8k
Liansheng Wang China 25 723 0.7× 561 0.7× 606 0.8× 316 0.8× 218 1.0× 112 1.7k
Martin Urschler Austria 22 890 0.9× 789 1.0× 652 0.9× 476 1.2× 85 0.4× 87 2.4k
Cheng Chen China 22 662 0.7× 728 0.9× 949 1.3× 256 0.7× 166 0.8× 87 2.1k
Jacinto C. Nascimento Portugal 26 1.4k 1.4× 802 1.0× 1.1k 1.5× 473 1.2× 136 0.6× 113 3.1k

Countries citing papers authored by Chenyu You

Since Specialization
Citations

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

Fields of papers citing papers by Chenyu You

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chenyu You

This figure shows the co-authorship network connecting the top 25 collaborators of Chenyu You. A scholar is included among the top collaborators of Chenyu You 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 Chenyu You. Chenyu You 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.
Liu, Fenglin, Hongjian Zhou, Yining Hua, et al.. (2025). Application of large language models in medicine. Nature Reviews Bioengineering. 3(6). 445–464. 12 indexed citations
2.
Cao, Meng, et al.. (2024). Cross-Modal Conditioned Reconstruction for Language-Guided Medical Image Segmentation. IEEE Transactions on Medical Imaging. 44(4). 1821–1835. 5 indexed citations
3.
Lin, Pengfei, et al.. (2024). Deep learning-based fast prediction of flow field around multiple bluff bodies. SHILAP Revista de lepidopterología. 1(2). 100020–100020. 6 indexed citations
4.
You, Chenyu, Fenglin Liu, Yifei Min, et al.. (2024). Mine yOur owN Anatomy: Revisiting Medical Image Segmentation With Extremely Limited Labels. IEEE Transactions on Pattern Analysis and Machine Intelligence. 46(12). 11136–11151. 35 indexed citations
5.
Dong, Siyuan, Gilbert Hangel, Wolfgang Bogner, et al.. (2024). A Flow-based Truncated Denoising Diffusion Model for super-resolution Magnetic Resonance Spectroscopic Imaging. Medical Image Analysis. 99. 103358–103358. 1 indexed citations
7.
Sun, Shanlin, Kun Han, Chenyu You, et al.. (2024). Medical image registration via neural fields. Medical Image Analysis. 97. 103249–103249. 5 indexed citations
8.
You, Chenyu, et al.. (2023). Implicit Anatomical Rendering for Medical Image Segmentation with Stochastic Experts. Lecture notes in computer science. 14222. 561–571. 35 indexed citations
9.
Li, Guang, et al.. (2023). MARGANVAC: metal artifact reduction method based on generative adversarial network with variable constraints. Physics in Medicine and Biology. 68(20). 205005–205005. 10 indexed citations
10.
Yang, Liangwei, Chen Wang, Zhiwei Liu, et al.. (2023). Multi-task Item-attribute Graph Pre-training for Strict Cold-start Item Recommendation. 322–333. 10 indexed citations
11.
Liu, Fenglin, Zheng Li, Qingyu Yin, et al.. (2023). Multimodal Prompt Learning for Product Title Generation with Extremely Limited Labels. 2652–2665. 3 indexed citations
12.
You, Chenyu, et al.. (2023). Bootstrapping Semi-supervised Medical Image Segmentation with Anatomical-Aware Contrastive Distillation. Lecture notes in computer science. 13939. 641–653. 54 indexed citations
13.
Chen, Fuyao, Takuya Toyonaga, Chenyu You, et al.. (2023). Cross-Attention for Improved Motion Correction in Brain PET. Lecture notes in computer science. 14312. 34–45. 1 indexed citations
14.
Liu, Fenglin, Tingting Zhu, Xian Wu, et al.. (2023). A medical multimodal large language model for future pandemics. npj Digital Medicine. 6(1). 226–226. 70 indexed citations
15.
Chen, Fuyao, et al.. (2023). Fast Reconstruction for Deep Learning PET Head Motion Correction. Lecture notes in computer science. 14229. 710–719. 2 indexed citations
16.
You, Chenyu, et al.. (2022). End-to-end Spoken Conversational Question Answering: Task, Dataset and Model. 1219–1232. 21 indexed citations
17.
You, Chenyu, Kun Su, Xiaoran Zhang, et al.. (2022). Incremental Learning Meets Transfer Learning: Application to Multi-site Prostate MRI Segmentation. Lecture notes in computer science. 13573. 3–16. 48 indexed citations
18.
Ghosh, Rajarshi P., James Franklin, Simon Chen, et al.. (2020). NuSeT: A deep learning tool for reliably separating and analyzing crowded cells. PLoS Computational Biology. 16(9). e1008193–e1008193. 59 indexed citations
19.
You, Chenyu, Wenxiang Cong, Ge Wang, et al.. (2018). Structurally-Sensitive Multi-Scale Deep Neural Network for Low-Dose CT Denoising. IEEE Access. 6. 41839–41855. 183 indexed citations
20.
Li, Guang, Shouhua Luo, Chenyu You, et al.. (2018). A novel calibration method incorporating nonlinear optimization and ball‐bearing markers for cone‐beam CT with a parameterized trajectory. Medical Physics. 46(1). 152–164. 23 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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