Pengfei Shao

1.5k total citations
64 papers, 815 citations indexed

About

Pengfei Shao is a scholar working on Radiology, Nuclear Medicine and Imaging, Surgery and Computer Vision and Pattern Recognition. According to data from OpenAlex, Pengfei Shao has authored 64 papers receiving a total of 815 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Radiology, Nuclear Medicine and Imaging, 11 papers in Surgery and 10 papers in Computer Vision and Pattern Recognition. Recurrent topics in Pengfei Shao's work include Functional Brain Connectivity Studies (10 papers), Dementia and Cognitive Impairment Research (9 papers) and Advanced Neuroimaging Techniques and Applications (9 papers). Pengfei Shao is often cited by papers focused on Functional Brain Connectivity Studies (10 papers), Dementia and Cognitive Impairment Research (9 papers) and Advanced Neuroimaging Techniques and Applications (9 papers). Pengfei Shao collaborates with scholars based in China, United States and France. Pengfei Shao's co-authors include Ronald X. Xu, Shuwei Shen, Peng Yao, Xiaobing Ju, Yun Xu, Ruomeng Qin, Chao Qin, Fan Zhang, Changjun Yin and Benjamin H. Kaffenberger and has published in prestigious journals such as Nature Genetics, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Pengfei Shao

56 papers receiving 805 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pengfei Shao China 15 192 152 140 139 135 64 815
Hao Yan China 17 390 2.0× 99 0.7× 83 0.6× 140 1.0× 108 0.8× 60 1.1k
Hongmin Bai China 14 227 1.2× 345 2.3× 62 0.4× 109 0.8× 86 0.6× 41 823
Zihao Zhang China 16 172 0.9× 126 0.8× 55 0.4× 223 1.6× 35 0.3× 79 882
Yunyan Zhang Canada 15 113 0.6× 258 1.7× 67 0.5× 66 0.5× 74 0.5× 57 745
Wai Yee Chan Malaysia 16 201 1.0× 416 2.7× 147 1.1× 392 2.8× 216 1.6× 40 1.0k
Yicheng Zhu China 18 126 0.7× 217 1.4× 51 0.4× 133 1.0× 100 0.7× 88 979
Shiju Yan China 14 196 1.0× 184 1.2× 48 0.3× 85 0.6× 211 1.6× 49 681
Joerg Bredno United States 17 132 0.7× 284 1.9× 143 1.0× 229 1.6× 101 0.7× 55 1.1k
Kei Kato Japan 17 116 0.6× 200 1.3× 250 1.8× 79 0.6× 208 1.5× 38 999
Qiang Zheng China 15 153 0.8× 215 1.4× 36 0.3× 53 0.4× 104 0.8× 59 856

Countries citing papers authored by Pengfei Shao

Since Specialization
Citations

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

Fields of papers citing papers by Pengfei Shao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pengfei Shao

This figure shows the co-authorship network connecting the top 25 collaborators of Pengfei Shao. A scholar is included among the top collaborators of Pengfei Shao 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 Pengfei Shao. Pengfei Shao 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.
Wang, Yushan, Ziqin Cao, Pengfei Shao, et al.. (2025). Nutritional interventions for osteoarthritis: targeting the metabolism-inflammation-oxidative stress axis—clinical evidence and translational practice. Frontiers in Nutrition. 12. 1661136–1661136.
2.
Zhang, Shaozhong, et al.. (2025). Biomass estimation in shrimp aquaculture using multimodal deep learning approaches. Ecological Informatics. 92. 103531–103531. 1 indexed citations
3.
Huang, Lili, Zhuoyuan Li, Xiaolei Zhu, et al.. (2025). Deep adaptive learning predicts and diagnoses CSVD-related cognitive decline using radiomics from T2-FLAIR: a multi-centre study. npj Digital Medicine. 8(1). 444–444.
4.
Liu, Songde, et al.. (2024). Ultrafast filtered back-projection for photoacoustic computed tomography. Biomedical Optics Express. 16(2). 362–362.
5.
Yao, Peng, Mingxiao Chen, Liang Zeng, et al.. (2024). SCAC: A Semi-Supervised Learning Approach for Cervical Abnormal Cell Detection. IEEE Journal of Biomedical and Health Informatics. 28(6). 3501–3512. 5 indexed citations
6.
Guo, Wangxin, Pengfei Shao, Chao Liang, et al.. (2024). JAK/STAT signaling maintains an intermediate cell population during prostate basal cell fate determination. Nature Genetics. 56(12). 2776–2789. 5 indexed citations
7.
Xu, Liang, Song Pan, Pengfei Shao, et al.. (2024). MCPA: multi-scale cross perceptron attention network for 2D medical image segmentation. Complex & Intelligent Systems. 11(1). 5 indexed citations
8.
Cheng, Yi, Peng Yao, Liang Xu, et al.. (2024). DCST: Dual Cross-Supervision for Transformer-based Unsupervised Domain Adaptation. Neural Networks. 181. 106749–106749. 5 indexed citations
9.
Wang, Lianlian, Dandan Zhu, Ruomeng Qin, et al.. (2023). Retinal Alterations as Potential Biomarkers of Structural Brain Changes in Alzheimer’s Disease Spectrum Patients. Brain Sciences. 13(3). 460–460. 7 indexed citations
10.
11.
Wu, Bingxuan, Fan Zhang, Liang Xu, et al.. (2023). Modality preserving U-Net for segmentation of multimodal medical images. Quantitative Imaging in Medicine and Surgery. 13(8). 5242–5257. 8 indexed citations
12.
Zhang, Zhi, Xin Shu, Qian Cao, et al.. (2023). Compound from Magnolia officinalis Ameliorates White Matter Injury by Promoting Oligodendrocyte Maturation in Chronic Cerebral Ischemia Models. Neuroscience Bulletin. 39(10). 1497–1511. 12 indexed citations
13.
Shao, Pengfei, Xin Li, Ruomeng Qin, et al.. (2022). Altered local gyrification and functional connectivity in type 2 diabetes mellitus patients with mild cognitive impairment: A pilot cross-sectional small-scale single center study. Frontiers in Aging Neuroscience. 14. 934071–934071. 9 indexed citations
14.
Chen, Huiping, Lili Huang, Haifeng Chen, et al.. (2022). The flexibility of cognitive reserve in regulating the frontoparietal control network and cognitive function in subjects with white matter hyperintensities. Behavioural Brain Research. 425. 113831–113831. 10 indexed citations
15.
Shao, Pengfei, Ruomeng Qin, Junyi Ma, et al.. (2022). Lobar Cerebral Microbleeds Are Associated With Cognitive Decline in Patients With Type 2 Diabetes Mellitus. Frontiers in Neurology. 13. 843260–843260. 5 indexed citations
16.
Yang, Dan, Ruomeng Qin, Lan Chu, et al.. (2022). Abnormal Cerebrovascular Reactivity and Functional Connectivity Caused by White Matter Hyperintensity Contribute to Cognitive Decline. Frontiers in Neuroscience. 16. 807585–807585. 10 indexed citations
17.
Miao, Chenkui, Chao Liang, Pu Li, et al.. (2021). TRIM37 orchestrates renal cell carcinoma progression via histone H2A ubiquitination-dependent manner. Journal of Experimental & Clinical Cancer Research. 40(1). 195–195. 27 indexed citations
18.
Huang, Lili, Xin Chen, Haifeng Chen, et al.. (2021). Early Segmental White Matter Fascicle Microstructural Damage Predicts the Corresponding Cognitive Domain Impairment in Cerebral Small Vessel Disease Patients by Automated Fiber Quantification. Frontiers in Aging Neuroscience. 12. 598242–598242. 30 indexed citations
19.
Liu, Peng, Chenmeng Li, Zeshu Zhang, et al.. (2020). A Wearable Augmented Reality Navigation System for Surgical Telementoring Based on Microsoft HoloLens. Annals of Biomedical Engineering. 49(1). 287–298. 45 indexed citations
20.
Qin, Chao, et al.. (2011). Extraperitoneal Laparoscopic Retroperitoneal Lymph Node Dissection. Videourology. 25(2). 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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