Fei Ma

409 total citations
42 papers, 259 citations indexed

About

Fei Ma is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Fei Ma has authored 42 papers receiving a total of 259 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Computer Vision and Pattern Recognition, 20 papers in Biomedical Engineering and 18 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Fei Ma's work include Retinal Imaging and Analysis (12 papers), Video Surveillance and Tracking Methods (10 papers) and Glaucoma and retinal disorders (8 papers). Fei Ma is often cited by papers focused on Retinal Imaging and Analysis (12 papers), Video Surveillance and Tracking Methods (10 papers) and Glaucoma and retinal disorders (8 papers). Fei Ma collaborates with scholars based in China, United States and United Kingdom. Fei Ma's co-authors include Xiao‐Yuan Jing, Xiaoke Zhu, Fei Wu, Zhiqiang Li, Xiwei Dong, Jing Meng, Yuanke Zhang, Xinyu Zhang, Chengbo Liu and Zhiping Peng and has published in prestigious journals such as Optics Express, IEEE Access and Pattern Recognition.

In The Last Decade

Fei Ma

38 papers receiving 253 citations

Peers

Fei Ma
Zhe Ren China
Qiyu Jin China
Yang Ai China
Cheolhong An United States
Raúl Arteche Díaz United States
Oana G. Cula United States
Zhe Ren China
Fei Ma
Citations per year, relative to Fei Ma Fei Ma (= 1×) peers Zhe Ren

Countries citing papers authored by Fei Ma

Since Specialization
Citations

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

Fields of papers citing papers by Fei Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fei Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Fei Ma. A scholar is included among the top collaborators of Fei 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 Fei Ma. Fei 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.
Ma, Fei, et al.. (2025). SMFDNet: spatial and multi-frequency domain network for OCT angiography retinal vessel segmentation. The Journal of Supercomputing. 81(4). 1 indexed citations
2.
Zhang, Kai, et al.. (2025). Exploring Embodied Multimodal Large Models: Development, datasets, and future directions. Information Fusion. 122. 103198–103198. 4 indexed citations
3.
Ma, Fei, et al.. (2025). Multi-domain fusion network: A novel approach to OCTA image segmentation in diabetic retinopathy. Biomedical Signal Processing and Control. 109. 107945–107945. 1 indexed citations
4.
Zhang, Rui, Yuanke Zhang, Yanfei Guo, et al.. (2025). DSCN-Net: domain-specific contrastive network for unsupervised low-dose CT denoising. Neurocomputing. 651. 130919–130919.
5.
Zhang, Zhaohui, Fei Ma, Hongjuan Liu, et al.. (2025). WS-SAM: self-prompting SAM with wavelet and spatial domain for OCTA retinal vessel segmentation. The Journal of Supercomputing. 81(5).
6.
Guo, Yanfei, et al.. (2025). LECNet: Lesion semantic feature enhancement and complementary networks for diabetic retinopathy grading. Biomedical Signal Processing and Control. 107. 107813–107813. 1 indexed citations
7.
Guo, Yanfei, et al.. (2025). Dynamic momentum contrastive learning network for diabetic retinopathy grading. Engineering Applications of Artificial Intelligence. 151. 110604–110604.
8.
Zhang, Yuanke, Fan Xu, Rui Zhang, et al.. (2024). Side Information-Assisted Low-Dose CT Reconstruction. IEEE Transactions on Computational Imaging. 10. 1080–1093. 1 indexed citations
9.
Zhang, Hongdong, Ningbo Chen, Fei Ma, et al.. (2024). Simultaneous removal of noise and correction of motion warping in neuron calcium imaging using a pipeline structure of self-supervised deep learning models. Biomedical Optics Express. 15(7). 4300–4300. 1 indexed citations
10.
Zhang, Yuanke, Dong Wang, Jing Meng, et al.. (2024). Multi-scale feature aggregation and fusion network with self-supervised multi-level perceptual loss for textures preserving low-dose CT denoising. Physics in Medicine and Biology. 69(10). 105003–105003. 2 indexed citations
11.
Zhang, Yuqing, et al.. (2024). Bivariate extreme value analysis of extreme temperature and mortality in Canada, 2000-2020. BMC Public Health. 24(1). 1344–1344. 5 indexed citations
12.
Ma, Fei, et al.. (2024). CSANet: a lightweight channel and spatial attention neural network for grading diabetic retinopathy with optical coherence tomography angiography. Quantitative Imaging in Medicine and Surgery. 14(2). 1820–1834. 3 indexed citations
13.
Zhang, Yuanke, Rui Zhang, Fan Xu, et al.. (2024). Unsupervised low-dose CT denoising using bidirectional contrastive network. Computer Methods and Programs in Biomedicine. 251. 108206–108206. 3 indexed citations
14.
Ma, Fei, et al.. (2023). A new retinal OCT‐angiography diabetic retinopathy dataset for segmentation and DR grading. Journal of Biophotonics. 16(11). e202300052–e202300052. 3 indexed citations
15.
Ma, Fei, Shengbo Wang, Yanfei Guo, et al.. (2023). Deep‐learning segmentation method for optical coherence tomography angiography in ophthalmology. Journal of Biophotonics. 17(2). e202300321–e202300321. 4 indexed citations
16.
Zhang, Yuanke, Yingying Lin, Wanxin Sun, et al.. (2023). Structure-preserving low-dose computed tomography image denoising using a deep residual adaptive global context attention network. Quantitative Imaging in Medicine and Surgery. 13(10). 6528–6545. 8 indexed citations
17.
Zhang, Xinyu, Xiao‐Yuan Jing, Xiaoke Zhu, & Fei Ma. (2020). Semi-supervised person re-identification by similarity-embedded cycle GANs. Neural Computing and Applications. 32(17). 14143–14152. 10 indexed citations
18.
Meng, Yu, et al.. (2012). Vision-based self-localization method for underground mining vehicle. Transactions of the Chinese Society of Agricultural Machinery. 43(1). 1 indexed citations
19.
Kosanam, Hari, Fei Ma, Hui He, et al.. (2010). Development of an LC–MS/MS assay to determine plasma pharmacokinetics of the radioprotectant octadecyl thiophosphate (OTP) in monkeys. Journal of Chromatography B. 878(26). 2379–2383. 9 indexed citations
20.
Ma, Fei, Hari Kosanam, XiangDi Wang, et al.. (2009). Fast and sensitive liquid chromatography/electrospray mass spectrometry method to study ocular penetration of EDL‐155, a novel antitumor agent for retinoblastoma in rats. Journal of Mass Spectrometry. 44(5). 786–793. 5 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026