Shaodong Ma

703 total citations · 1 hit paper
30 papers, 546 citations indexed

About

Shaodong Ma is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Ophthalmology. According to data from OpenAlex, Shaodong Ma has authored 30 papers receiving a total of 546 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Radiology, Nuclear Medicine and Imaging, 10 papers in Computer Vision and Pattern Recognition and 7 papers in Ophthalmology. Recurrent topics in Shaodong Ma's work include Retinal Imaging and Analysis (10 papers), Medical Image Segmentation Techniques (6 papers) and Glaucoma and retinal disorders (5 papers). Shaodong Ma is often cited by papers focused on Retinal Imaging and Analysis (10 papers), Medical Image Segmentation Techniques (6 papers) and Glaucoma and retinal disorders (5 papers). Shaodong Ma collaborates with scholars based in China, United Kingdom and Singapore. Shaodong Ma's co-authors include Xiangpeng Xie, Chen Peng, Chen Peng, Yang Wang, Zhiwen Liu, Jian Yang, Danni Ai, Yongtian Wang, Mingjin Yang and Yu‐Long Wang and has published in prestigious journals such as IEEE Access, IEEE Transactions on Medical Imaging and Information Sciences.

In The Last Decade

Shaodong Ma

24 papers receiving 537 citations

Hit Papers

Observer-Based Non-PDC Control for Networked T–S Fuzzy Sy... 2017 2026 2020 2023 2017 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shaodong Ma China 11 311 244 73 58 56 30 546
Yili Fu China 9 266 0.9× 102 0.4× 89 1.2× 45 0.8× 50 0.9× 49 589
Tomoaki Kobayashi Japan 13 384 1.2× 176 0.7× 23 0.3× 33 0.6× 57 1.0× 74 584
Mirko Fiacchini France 18 766 2.5× 111 0.5× 87 1.2× 30 0.5× 16 0.3× 76 938
Ahmadreza Argha Australia 17 289 0.9× 54 0.2× 54 0.7× 38 0.7× 73 1.3× 87 704
Chao‐Lin Kuo Taiwan 14 225 0.7× 89 0.4× 122 1.7× 107 1.8× 17 0.3× 56 660
Senping Tian China 16 567 1.8× 153 0.6× 36 0.5× 36 0.6× 4 0.1× 90 731
Yiyong Sun China 12 220 0.7× 57 0.2× 151 2.1× 60 1.0× 13 0.2× 30 467
Neng‐Sheng Pai Taiwan 12 145 0.5× 79 0.3× 160 2.2× 91 1.6× 4 0.1× 64 527
Vladimir Shin South Korea 11 145 0.5× 125 0.5× 47 0.6× 256 4.4× 65 1.2× 79 495

Countries citing papers authored by Shaodong Ma

Since Specialization
Citations

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

Fields of papers citing papers by Shaodong Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shaodong Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Shaodong Ma. A scholar is included among the top collaborators of Shaodong 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 Shaodong Ma. Shaodong Ma 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.
Li, Xuefei, et al.. (2025). A multi-modal multi-branch framework for retinal vessel segmentation using ultra-widefield fundus photographs. Frontiers in Cell and Developmental Biology. 12. 1532228–1532228. 2 indexed citations
2.
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.
3.
Huang, Wei, et al.. (2024). Robust and accurate corneal interfaces segmentation in 2D and 3D OCT images. Frontiers in Medicine. 11. 1381758–1381758.
5.
Mou, Lei, Jinghui Lin, Yifan Zhao, et al.. (2024). COSTA: A Multi-Center TOF-MRA Dataset and a Style Self-Consistency Network for Cerebrovascular Segmentation. IEEE Transactions on Medical Imaging. 43(12). 4442–4456. 4 indexed citations
6.
Mao, Haiting, et al.. (2024). Cross-modality transfer learning with knowledge infusion for diabetic retinopathy grading. Frontiers in Medicine. 11. 1400137–1400137.
7.
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.
8.
Ma, Shaodong, et al.. (2023). Dual-Path and Multi-Scale Enhanced Attention Network for Retinal Diseases Classification Using Ultra-Wide-Field Images. IEEE Access. 11. 45405–45415. 13 indexed citations
9.
Mou, Lei, et al.. (2023). A ranking-based multi-scale feature calibration network for nuclear cataract grading in AS-OCT images. Biomedical Signal Processing and Control. 90. 105836–105836. 5 indexed citations
10.
Xu, Cong, Huaying Hao, Yang Wang, et al.. (2023). Vessel segmentation of OCTA images based on latent vector alignment and swin Transformer. Journal of Image and Graphics. 28(9). 2927–2939.
11.
Wang, Xingguo, Yanyan Zhang, William Robert Kwapong, et al.. (2023). Automated evaluation of retinal hyperreflective foci changes in diabetic macular edema patients before and after intravitreal injection. Frontiers in Medicine. 10. 1280714–1280714. 6 indexed citations
12.
Lin, Jinghui, Lei Mou, Shaodong Ma, et al.. (2021). Automated Segmentation of Trigeminal Nerve and Cerebrovasculature in MR-Angiography Images by Deep Learning. Frontiers in Neuroscience. 15. 744967–744967. 11 indexed citations
13.
Zhu, Jianjun, Shaodong Ma, Jingfan Fan, et al.. (2019). Unbiased groupwise registration for shape prediction of foot scans. Medical & Biological Engineering & Computing. 57(9). 1985–1998. 1 indexed citations
14.
Wang, Yang, Zhiwen Liu, Jian Yang, & Shaodong Ma. (2017). Design and implementation of a BSN-based system for plantar health evaluation with exercise load quantification. BioMedical Engineering OnLine. 16(1). 98–98. 16 indexed citations
15.
Wang, Yang, Zhiwen Liu, & Shaodong Ma. (2017). Cuff-less blood pressure measurement from dual-channel photoplethysmographic signals via peripheral pulse transit time with singular spectrum analysis. Physiological Measurement. 39(2). 25010–25010. 26 indexed citations
16.
Qu, Xiaoxia, et al.. (2016). Positive Unanimous Voting Algorithm for Focal Cortical Dysplasia Detection on Magnetic Resonance Image. Frontiers in Computational Neuroscience. 10. 25–25. 5 indexed citations
17.
Ma, Shaodong, et al.. (2015). A novel similarity comparison approach for dynamic ECG series. Bio-Medical Materials and Engineering. 26(1_suppl). S1095–105. 2 indexed citations
18.
Yang, Shuqiang, et al.. (2015). Symbolic representation based on trend features for biomedical data classification. Technology and Health Care. 23(2_suppl). S501–S510. 3 indexed citations
19.
Yang, Shuqiang, et al.. (2015). Symbolic representation based on trend features for knowledge discovery in long time series. Frontiers of Information Technology & Electronic Engineering. 16(9). 744–758. 14 indexed citations
20.
Ma, Shaodong, A.J. Wilkinson, & Kevin Paulson. (2013). An ultrasonic transducer transient compensator design based on a simplified Variable Structure Control algorithm. Ultrasonics. 54(2). 502–515. 2 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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