Shifeng Zhao

425 total citations
27 papers, 277 citations indexed

About

Shifeng Zhao is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Biomedical Engineering. According to data from OpenAlex, Shifeng Zhao has authored 27 papers receiving a total of 277 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computer Vision and Pattern Recognition, 9 papers in Radiology, Nuclear Medicine and Imaging and 7 papers in Biomedical Engineering. Recurrent topics in Shifeng Zhao's work include Medical Image Segmentation Techniques (17 papers), AI in cancer detection (5 papers) and Medical Imaging and Analysis (5 papers). Shifeng Zhao is often cited by papers focused on Medical Image Segmentation Techniques (17 papers), AI in cancer detection (5 papers) and Medical Imaging and Analysis (5 papers). Shifeng Zhao collaborates with scholars based in China, Australia and United States. Shifeng Zhao's co-authors include Yun Tian, Qingjun Wang, Tao Liu, Xiaoying Huang, Qingqiong Deng, Fuqing Duan, Xu Wang, Xinrong Wang, Dongbin Zhao and Jiaying Lin and has published in prestigious journals such as IEEE Access, Neurocomputing and BioMed Research International.

In The Last Decade

Shifeng Zhao

25 papers receiving 269 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Shifeng Zhao China	11	93	84	81	52	41	27	277
Satyananda Kashyap United States	8	8 0.1×	54 0.6×	156 1.9×	38 0.7×	87 2.1×	18	276
Yizhi Pan China	6	9 0.1×	56 0.7×	30 0.4×	12 0.2×	46 1.1×	12	220
Lucas R. Borges Brazil	10	12 0.1×	49 0.6×	138 1.7×	105 2.0×	96 2.3×	41	307
Gobert Lee Australia	9	4 0.0×	140 1.7×	115 1.4×	33 0.6×	131 3.2×	33	271
Mingquan Lin United States	11	4 0.0×	102 1.2×	163 2.0×	32 0.6×	117 2.9×	48	397
Ioannis Boniatis Greece	10	26 0.3×	103 1.2×	132 1.6×	77 1.5×	154 3.8×	20	328
Gijs van Tulder Netherlands	6	4 0.0×	75 0.9×	105 1.3×	28 0.5×	85 2.1×	9	214
Aditya Saxena India	7	10 0.1×	17 0.2×	16 0.2×	17 0.3×	44 1.1×	35	243
Yinpeng Jin United States	6	7 0.1×	184 2.2×	60 0.7×	21 0.4×	41 1.0×	14	249

Countries citing papers authored by Shifeng Zhao

Since Specialization

Citations

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

Fields of papers citing papers by Shifeng Zhao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shifeng Zhao

This figure shows the co-authorship network connecting the top 25 collaborators of Shifeng Zhao. A scholar is included among the top collaborators of Shifeng Zhao 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 Shifeng Zhao. Shifeng Zhao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Zhang, Ke, Zhongyu Yuan, Shengwei Wang, et al.. (2024). The abnormalities of free fatty acid metabolism in patients with hypertrophic cardiomyopathy, a single-center retrospective observational study. BMC Cardiovascular Disorders. 24(1). 312–312. 2 indexed citations

Zhou, Rui, et al.. (2023). A global-frequency-domain network for medical image segmentation. Computers in Biology and Medicine. 164. 107290–107290. 11 indexed citations

Wang, Wei, Yun Tian, Xu Yang, et al.. (2022). 3cDe-Net: a cervical cancer cell detection network based on an improved backbone network and multiscale feature fusion. BMC Medical Imaging. 22(1). 130–130. 9 indexed citations

Zhang, Xiaoxuan, Caixia Cui, Shifeng Zhao, Lizhi Xie, & Yun Tian. (2022). Cardiac magnetic resonance radiomics for disease classification. European Radiology. 33(4). 2312–2323. 13 indexed citations

Wang, Xuesong, et al.. (2022). Weakly Supervised Deep Learning for Tooth-Marked Tongue Recognition. Frontiers in Physiology. 13. 847267–847267. 20 indexed citations

Huang, Xiaoying, Yun Tian, Shifeng Zhao, et al.. (2021). Direct full quantification of the left ventricle via multitask regression and classification. Applied Intelligence. 51(8). 5745–5758. 1 indexed citations

Wang, Wei, et al.. (2021). Cervical Cancer Cell Detection Based on Multi-Scale Feature Fusion. SSRN Electronic Journal. 1 indexed citations

Liu, Tao, Yun Tian, Shifeng Zhao, Xiaoying Huang, & Qingjun Wang. (2020). Residual Convolutional Neural Network for Cardiac Image Segmentation and Heart Disease Diagnosis. IEEE Access. 8. 82153–82161. 22 indexed citations

Wang, Xu, Jing-Wei Liu, Qianqian Li, et al.. (2020). Artificial intelligence in tongue diagnosis: Using deep convolutional neural network for recognizing unhealthy tongue with tooth-mark. Computational and Structural Biotechnology Journal. 18. 973–980. 79 indexed citations

10.

Tian, Yun, Zifeng Liu, & Shifeng Zhao. (2019). Vascular segmentation of neuroimages based on a prior shape and local statistics. Frontiers of Information Technology & Electronic Engineering. 20(8). 1099–1108. 1 indexed citations

11.

Zhao, Shifeng, et al.. (2019). Intracranial Vascular Structure Extraction: A Machine Learning Approach. IEEE Access. 7. 100933–100942. 2 indexed citations

12.

Liu, Tao, Yun Tian, Shifeng Zhao, Xiaoying Huang, & Qingjun Wang. (2019). Automatic Whole Heart Segmentation Using a Two-Stage U-Net Framework and an Adaptive Threshold Window. IEEE Access. 7. 83628–83636. 33 indexed citations

13.

Zhao, Shifeng, et al.. (2018). Vascular Extraction Using MRA Statistics and Gradient Information. Mathematical Problems in Engineering. 2018. 1–8. 5 indexed citations

14.

Tian, Yun, et al.. (2017). Predicting pregnancy rate following multiple embryo transfers using algorithms developed through static image analysis. Reproductive BioMedicine Online. 34(5). 473–479. 6 indexed citations

15.

Wang, Jiaxin, et al.. (2016). An Active Contour Model Based on Adaptive Threshold for Extraction of Cerebral Vascular Structures. Computational and Mathematical Methods in Medicine. 2016. 1–9. 13 indexed citations

16.

Zhao, Shifeng, Xuesong Wang, Yun Tian, et al.. (2016). Gap connection of vascular branches by nonlinear least squares curve fitting algorithm. 345–352. 1 indexed citations

17.

Zhao, Shifeng, Mingquan Zhou, Yun Tian, et al.. (2015). Extraction of vessel networks based on multiview projection and phase field model. Neurocomputing. 162. 234–244. 10 indexed citations

18.

Zhao, Shifeng, et al.. (2015). An Effective Brain Vasculature Segmentation Algorithm for Time-of-Flight MRA Data. 59. 238–245. 2 indexed citations

19.

Zhao, Shifeng, Mingquan Zhou, & Feng Xu. (2010). MIP-Guided Blood Vessel Segmentation Using SEM Statistical Mixture Model. 263–266.

20.

Zhao, Shifeng, et al.. (2007). Blood Vessel Segmentation from MRA Based on Boltzmann Theory. 39. 1299–1302. 1 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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