Chuyang Ye

1.4k total citations
57 papers, 561 citations indexed

About

Chuyang Ye is a scholar working on Radiology, Nuclear Medicine and Imaging, Pediatrics, Perinatology and Child Health and Computer Vision and Pattern Recognition. According to data from OpenAlex, Chuyang Ye has authored 57 papers receiving a total of 561 indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Radiology, Nuclear Medicine and Imaging, 17 papers in Pediatrics, Perinatology and Child Health and 15 papers in Computer Vision and Pattern Recognition. Recurrent topics in Chuyang Ye's work include Advanced Neuroimaging Techniques and Applications (37 papers), Advanced MRI Techniques and Applications (20 papers) and Fetal and Pediatric Neurological Disorders (17 papers). Chuyang Ye is often cited by papers focused on Advanced Neuroimaging Techniques and Applications (37 papers), Advanced MRI Techniques and Applications (20 papers) and Fetal and Pediatric Neurological Disorders (17 papers). Chuyang Ye collaborates with scholars based in China, United States and Germany. Chuyang Ye's co-authors include Jerry L. Prince, Sarah H. Ying, Yuxing Li, John Bogovic, Xiangzhu Zeng, Pierre‐Louis Bazin, Aaron Carass, Navid Shiee, Zhen Yang and Dzung L. Pham and has published in prestigious journals such as SHILAP Revista de lepidopterología, NeuroImage and Scientific Reports.

In The Last Decade

Chuyang Ye

54 papers receiving 555 citations

Peers

Chuyang Ye
Saori Koshino Japan
Lotta M. Ellingsen United States
Emma Lewis United Kingdom
Andreas Schuh United Kingdom
Camilo Bermudez United States
Vaanathi Sundaresan United Kingdom
Jakob Wasserthal Switzerland
Shafik N. Wassef United States
Pim Moeskops Netherlands
Alireza Akhondi‐Asl United States
Saori Koshino Japan
Chuyang Ye
Citations per year, relative to Chuyang Ye Chuyang Ye (= 1×) peers Saori Koshino

Countries citing papers authored by Chuyang Ye

Since Specialization
Citations

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

Fields of papers citing papers by Chuyang Ye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chuyang Ye

This figure shows the co-authorship network connecting the top 25 collaborators of Chuyang Ye. A scholar is included among the top collaborators of Chuyang Ye 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 Chuyang Ye. Chuyang Ye 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.
Zhuo, Zhizheng, et al.. (2025). Unsupervised brain MRI tumour segmentation via two-stage image synthesis. Medical Image Analysis. 102. 103568–103568. 3 indexed citations
2.
Visentin, Marco, et al.. (2025). A Foundation Model for Lesion Segmentation on Brain MRI With Mixture of Modality Experts. IEEE Transactions on Medical Imaging. 44(6). 2594–2604. 3 indexed citations
3.
Li, Jin, et al.. (2025). Artificial intelligence in medical imaging: From task-specific models to large-scale foundation models. Chinese Medical Journal. 138(6). 651–663. 4 indexed citations
4.
Li, Jie, Yakui Wang, Lixue Wang, et al.. (2024). SiMix: A domain generalization method for cross-site brain MRI harmonization via site mixing. NeuroImage. 299. 120812–120812. 2 indexed citations
5.
Jiang, Ning, et al.. (2024). Multi-Task Collaborative Pre-Training and Adaptive Token Selection: A Unified Framework for Brain Representation Learning. IEEE Journal of Biomedical and Health Informatics. 28(9). 5528–5539.
6.
Ye, Chuyang, et al.. (2024). Real-Time Scheduling with Independent Evaluators: Explainable Multi-Agent Approach. SHILAP Revista de lepidopterología. 12(12). 259–259. 1 indexed citations
7.
Peng, Fei, Fandong Zhang, Shiyu Lu, et al.. (2024). Intracranial aneurysm instability prediction model based on 4D-Flow MRI and HR-MRI. Neurotherapeutics. 22(1). e00505–e00505. 3 indexed citations
8.
9.
Zhuo, Zhizheng, et al.. (2023). One-shot segmentation of novel white matter tracts via extensive data augmentation and adaptive knowledge transfer. Medical Image Analysis. 90. 102968–102968. 4 indexed citations
10.
Liu, Chenghao, Xiangzhu Zeng, Zhizheng Zhuo, et al.. (2023). CarveMix: A simple data augmentation method for brain lesion segmentation. NeuroImage. 271. 120041–120041. 12 indexed citations
11.
12.
Yu, Qin, et al.. (2021). Multimodal super-resolved q-space deep learning. Medical Image Analysis. 71. 102085–102085. 10 indexed citations
13.
Tang, Yuxiao, Chuyang Ye, Mengyu Cai, et al.. (2021). miR-182 mediated the inhibitory effects of NF-κB on the GPR39/CREB/BDNF pathway in the hippocampus of mice with depressive-like behaviors. Behavioural Brain Research. 418. 113647–113647. 9 indexed citations
14.
Ye, Chuyang, et al.. (2019). A deep network for tissue microstructure estimation using modified LSTM units. Medical Image Analysis. 55. 49–64. 30 indexed citations
15.
Ye, Chuyang. (2017). Tissue microstructure estimation using a deep network inspired by a dictionary-based framework. Medical Image Analysis. 42. 288–299. 26 indexed citations
16.
Ye, Chuyang & Jerry L. Prince. (2016). A Bayesian approach to fiber orientation estimation guided by volumetric tract segmentation. Computerized Medical Imaging and Graphics. 54. 35–47. 3 indexed citations
17.
Ye, Chuyang & Jerry L. Prince. (2016). Probabilistic tractography using Lasso bootstrap. Medical Image Analysis. 35. 544–553. 3 indexed citations
18.
Yang, Zhen, Chuyang Ye, John Bogovic, et al.. (2015). Automated cerebellar lobule segmentation with application to cerebellar structural analysis in cerebellar disease. NeuroImage. 127. 435–444. 33 indexed citations
19.
Ye, Chuyang, John Bogovic, Sarah H. Ying, & Jerry L. Prince. (2013). Parcellation of the thalamus using diffusion tensor images and a multi-object geometric deformable model. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8669. 9 indexed citations
20.
Ye, Chuyang, John Bogovic, Sarah H. Ying, & Jerry L. Prince. (2013). Segmentation of the complete superior cerebellar peduncles using a multi-object geometric deformable model. PubMed. 2013. 49–52. 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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