Yuhui Ma

2.1k total citations · 1 hit paper
36 papers, 1.4k citations indexed

About

Yuhui Ma is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Ophthalmology. According to data from OpenAlex, Yuhui Ma has authored 36 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Radiology, Nuclear Medicine and Imaging, 14 papers in Computer Vision and Pattern Recognition and 13 papers in Ophthalmology. Recurrent topics in Yuhui Ma's work include Retinal Imaging and Analysis (21 papers), Optical Coherence Tomography Applications (12 papers) and Glaucoma and retinal disorders (10 papers). Yuhui Ma is often cited by papers focused on Retinal Imaging and Analysis (21 papers), Optical Coherence Tomography Applications (12 papers) and Glaucoma and retinal disorders (10 papers). Yuhui Ma collaborates with scholars based in China, United Kingdom and United States. Yuhui Ma's co-authors include Fei Shi, Xinjian Chen, Weifang Zhu, Dehui Xiang, Xuena Cheng, Meng Wang, Shuanglang Feng, Heming Zhao, Jiang Liu and Yitian Zhao and has published in prestigious journals such as Journal of the American College of Cardiology, Diabetes Care and IEEE Transactions on Medical Imaging.

In The Last Decade

Yuhui Ma

34 papers receiving 1.4k 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.

CPFNet: Context Pyramid Fusion Network for Medical Image Segmentation

2020 455 citations Shuanglang Feng, Heming Zhao et al. IEEE Transactions on Medical Imaging profile →

Peers

Yuhui Ma

RNMI

CVPR

BE

AI

OPHTH

Dehui Xiang China

Weifang Zhu China

Dahong Qian China

Juan Shan United States

Qiangguo Jin China

Jixiang Guo China

Darvin Yi United States

Amin Katouzian Germany

He Ma China

Mathieu Lamard France

Dehui Xiang China

Yuhui Ma

1.3k ×1.8

RNMI

885 ×1.5

CVPR

602 ×1.5

BE

441 ×1.6

AI

526 ×2.0

OPHTH

Citations per year, relative to Yuhui Ma Yuhui Ma (= 1×) peers Dehui Xiang

Countries citing papers authored by Yuhui Ma

Since Specialization

Citations

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

Fields of papers citing papers by Yuhui Ma

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuhui Ma

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

1.

Ma, Shaodong, et al.. (2025). Rethinking Data Augmentation for Single-Source Domain Generalization in OCT Image Segmentation. IEEE Journal of Biomedical and Health Informatics. 29(8). 5642–5655.

2.

Yuan, Hao, et al.. (2025). Analysis of ferritinophagy-related genes associated with the prognosis and regulatory mechanisms in non-small cell lung cancer. Frontiers in Medicine. 12. 1480169–1480169. 1 indexed citations

3.

Ma, Yuhui, et al.. (2024). In-situ embedding of nanocylindrical Bi$_{25}$FeO$_{40}$ into scaffold-C3N4 for enhanced Z-scheme photocatalytic degradation. Journal of Metals Materials and Minerals. 34(4). 2167–2167. 2 indexed citations

4.

Ma, Yuhui, et al.. (2024). Choroidal Layer Analysis in OCT images via Ambiguous Boundary-aware Attention. Computers in Biology and Medicine. 175. 108386–108386. 3 indexed citations

5.

Mao, Haiting, Yuhui Ma, Dan Zhang, et al.. (2024). $\text{MR}^{2}$-Net: Retinal OCTA Image Stitching via Multi-Scale Representation Learning and Dynamic Location Guidance. IEEE Journal of Biomedical and Health Informatics. 29(1). 482–494.

6.

Ma, Yuhui, et al.. (2023). StruNet: Perceptual and low‐rank regularized transformer for medical image denoising. Medical Physics. 50(12). 7654–7669. 15 indexed citations

7.

Ma, Yuhui, et al.. (2023). A two-stage framework for optical coherence tomography angiography image quality improvement. Frontiers in Medicine. 10. 1061357–1061357. 4 indexed citations

8.

Gong, Yan, Huaying Hao, Jiong Zhang, et al.. (2022). Choroidal layer segmentation in OCT images by a boundary enhancement network. Frontiers in Cell and Developmental Biology. 10. 1060241–1060241. 6 indexed citations

9.

Xia, Likun, Hao Zhang, Yufei Wu, et al.. (2022). 3D vessel-like structure segmentation in medical images by an edge-reinforced network. Medical Image Analysis. 82. 102581–102581. 45 indexed citations

10.

Zhang, Rui, et al.. (2022). Preparation of a 3D flower-like spherical structure g-C3N4/CuBi2O4/Bi2MoO6 photocatalyst for efficient removal of antibiotics under visible light. Advanced Powder Technology. 33(9). 103727–103727. 16 indexed citations

11.

Zhou, Yi, Kai Yu, Meng Wang, et al.. (2021). Speckle Noise Reduction for OCT Images Based on Image Style Transfer and Conditional GAN. IEEE Journal of Biomedical and Health Informatics. 26(1). 139–150. 51 indexed citations

12.

Xie, Jianyang, Ri Liu, Huaying Hao, et al.. (2021). Automatic Sequence-Based Network for Lung Diseases Detection in Chest CT. Frontiers in Oncology. 11. 781798–781798. 5 indexed citations

13.

Zhao, Yitian, Jinyu Zhao, Bang Chen, et al.. (2021). Outer Retinal Layer Thickness Changes in White Matter Hyperintensity and Parkinson's Disease. Frontiers in Neuroscience. 15. 741651–741651. 8 indexed citations

14.

Cao, Ke, Lan Zhang, Yuhui Ma, et al.. (2021). G9a Regulates Cell Sensitivity to Radiotherapy via Histone H3 Lysine 9 Trimethylation and CCDC8 in Lung Cancer. OncoTargets and Therapy. Volume 14. 3721–3728. 9 indexed citations

15.

Feng, Shuanglang, Heming Zhao, Fei Shi, et al.. (2020). CPFNet: Context Pyramid Fusion Network for Medical Image Segmentation. IEEE Transactions on Medical Imaging. 39(10). 3008–3018. 455 indexed citations breakdown →

16.

Ma, Yuhui, Quan Li, Xing Liu, et al.. (2020). <p>Tumor Mutational Burden and PD-L1 Expression in Non-Small-Cell Lung Cancer (NSCLC) in Southwestern China</p>. OncoTargets and Therapy. Volume 13. 5191–5198. 2 indexed citations

17.

Koren, Michael J., Marc S. Sabatine, Robert P. Giugliano, et al.. (2019). Long-Term Efficacy and Safety of Evolocumab in Patients With Hypercholesterolemia. Journal of the American College of Cardiology. 74(17). 2132–2146. 108 indexed citations

18.

Shi, Fei, Ning Cai, Dianlin Hu, et al.. (2019). DeSpecNet: a CNN-based method for speckle reduction in retinal optical coherence tomography images. Physics in Medicine and Biology. 64(17). 175010–175010. 46 indexed citations

19.

Chen, Xinjian, Fei Shi, Yuhui Ma, et al.. (2019). Improved cGAN based linear lesion segmentation in high myopia ICGA images. Biomedical Optics Express. 10(5). 2355–2355. 11 indexed citations

20.

Cheng, Xuena, Xinjian Chen, Yuhui Ma, et al.. (2019). Choroid segmentation in OCT images based on improved U-net. 52. 71–71. 6 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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