Feng Shi

18.4k total citations · 2 hit papers
448 papers, 12.0k citations indexed

About

Feng Shi is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Cognitive Neuroscience. According to data from OpenAlex, Feng Shi has authored 448 papers receiving a total of 12.0k indexed citations (citations by other indexed papers that have themselves been cited), including 151 papers in Radiology, Nuclear Medicine and Imaging, 88 papers in Computer Vision and Pattern Recognition and 74 papers in Cognitive Neuroscience. Recurrent topics in Feng Shi's work include Radiomics and Machine Learning in Medical Imaging (61 papers), Functional Brain Connectivity Studies (58 papers) and Medical Image Segmentation Techniques (57 papers). Feng Shi is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (61 papers), Functional Brain Connectivity Studies (58 papers) and Medical Image Segmentation Techniques (57 papers). Feng Shi collaborates with scholars based in China, United States and South Korea. Feng Shi's co-authors include Dinggang Shen, Weili Lin, John H. Gilmore, Li Wang, Gang Li, Pew‐Thian Yap, Guorong Wu, Yaozong Gao, Tianzi Jiang and Chunshui Yu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Advanced Materials and Nature Medicine.

In The Last Decade

Feng Shi

392 papers receiving 11.8k citations

Hit Papers

Infant Brain Atlases from Neonates to 1- and 2-Year-Olds 2011 2026 2016 2021 2011 2013 100 200 300 400
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.

  1. Infant Brain Atlases from Neonates to 1- and 2-Year-Olds
    2011 425 citations Feng Shi, Dinggang Shen et al. profile →
  2. Family Poverty Affects the Rate of Human Infant Brain Growth
    2013 275 citations Dinggang Shen, Feng Shi et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Feng Shi China 61 4.2k 3.4k 1.8k 1.8k 1.5k 448 12.0k
Li Wang China 68 4.9k 1.2× 3.7k 1.1× 4.8k 2.6× 2.0k 1.1× 2.4k 1.6× 828 18.6k
Bennett A. Landman United States 49 6.2k 1.5× 1.9k 0.6× 2.7k 1.5× 756 0.4× 1.6k 1.0× 465 11.0k
Tianming Liu United States 52 3.7k 0.9× 4.4k 1.3× 2.0k 1.1× 440 0.2× 1.4k 0.9× 497 10.4k
Ayman El‐Baz United States 52 4.3k 1.0× 1.7k 0.5× 1.8k 1.0× 441 0.2× 1.9k 1.2× 665 11.4k
Yuanjie Zheng China 34 3.6k 0.9× 1.5k 0.4× 2.4k 1.3× 409 0.2× 1.6k 1.0× 244 8.9k
Hongtu Zhu United States 56 2.6k 0.6× 4.0k 1.2× 404 0.2× 1.2k 0.6× 1.1k 0.7× 376 12.4k
Guorong Wu United States 34 2.9k 0.7× 1.1k 0.3× 2.5k 1.4× 652 0.4× 1.7k 1.1× 204 7.0k
M. Jorge Cardoso United Kingdom 44 3.5k 0.8× 885 0.3× 2.2k 1.2× 417 0.2× 1.8k 1.2× 253 10.2k
Georg Langs Austria 36 4.5k 1.1× 2.7k 0.8× 1.1k 0.6× 463 0.3× 1.8k 1.2× 226 9.6k
Jagath C. Rajapakse Singapore 37 1.4k 0.3× 2.4k 0.7× 1.0k 0.5× 660 0.4× 1.0k 0.7× 214 7.7k

Countries citing papers authored by Feng Shi

Since Specialization
Citations

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

Fields of papers citing papers by Feng Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Feng Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Feng Shi. A scholar is included among the top collaborators of Feng Shi 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 Feng Shi. Feng Shi 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
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Shi, Feng, Hong Wan, Xue Fu, et al.. (2025). Enhanced Radio Frequency Fingerprint Identification Using Length-Robust Representation and Incremental Learning. IEEE Internet of Things Journal. 12(10). 14709–14719. 2 indexed citations
4.
Wei, Ying, Qing Zhou, Jiaojiao Wu, et al.. (2025). Review of Artificial Intelligence in Lung Nodule Risk Assessment. IEEE Reviews in Biomedical Engineering. 19. 412–427.
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Xia, Xiaona, Qingguo Ren, Juntao Zhang, et al.. (2024). Altered brain glymphatic function on diffusion-tensor MRI in patients with spontaneous intracerebral hemorrhage: an exploratory study. Frontiers in Aging Neuroscience. 16. 1506980–1506980.
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Zhang, Yonggang, Lijuan Gu, Hua Zhu, et al.. (2024). Mitochondria‐associated endoplasmic reticulum membranes tethering protein VAPB‐PTPIP51 protects against ischemic stroke through inhibiting the activation of autophagy. CNS Neuroscience & Therapeutics. 30(4). e14707–e14707. 11 indexed citations
8.
Deng, Jiangshan, Tingyu Yi, Liming Wei, et al.. (2024). Neuroprotective Effects of Rapid Local Ischemic Postconditioning in Successful Endovascular Thrombectomy Patients. Stroke. 55(12). 2896–2900. 1 indexed citations
9.
Zheng, Qingqing, Yi Guo, Yuwei Xia, et al.. (2024). Automatic detection of cognitive impairment in patients with white matter hyperintensity and causal analysis of related factors using artificial intelligence of MRI. Computers in Biology and Medicine. 178. 108684–108684. 7 indexed citations
10.
Shi, Feng, et al.. (2023). Multimodal transformer network for incomplete image generation and diagnosis of Alzheimer’s disease. Computerized Medical Imaging and Graphics. 110. 102303–102303. 22 indexed citations
11.
Wu, Jiaojiao, Yuwei Xia, Xuechun Wang, et al.. (2023). uRP: An integrated research platform for one-stop analysis of medical images. SHILAP Revista de lepidopterología. 3. 1153784–1153784. 67 indexed citations
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Yuan, Jie, Jiaojiao Wu, René R. Sevag Packard, et al.. (2023). Extended reality for biomedicine. Nature Reviews Methods Primers. 3(1). 16 indexed citations
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Yu, Huan, Chaoyang Zhang, Yan Cai, et al.. (2023). Morphological brain alterations in dialysis- and non-dialysis-dependent patients with chronic kidney disease. Metabolic Brain Disease. 38(4). 1311–1321. 2 indexed citations
15.
Li, Fuyan, Yi Cui, Xiao Wang, et al.. (2023). Deep Learning With an Attention Mechanism for Differentiating the Origin of Brain Metastasis Using MR images. Journal of Magnetic Resonance Imaging. 58(5). 1624–1635. 11 indexed citations
16.
Shan, Yi, Shaozhen Yan, Zhe Wang, et al.. (2023). Impact of brain segmentation methods on regional metabolism quantification in 18F-FDG PET/MR analysis. EJNMMI Research. 13(1). 79–79. 1 indexed citations
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Liu, Mianxin, Han Zhang, Qing Yang, et al.. (2022). Multiscale functional connectome abnormality predicts cognitive outcomes in subcortical ischemic vascular disease. Cerebral Cortex. 32(21). 4641–4656. 13 indexed citations
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Zhu, Hancan, et al.. (2020). FCN Based Label Correction for Multi-Atlas Guided Organ Segmentation. Neuroinformatics. 18(2). 319–331. 12 indexed citations
19.
Shi, Feng, Shang Li, Bei-Qing Pan, et al.. (2014). Calreticulin Promotes Migration and Invasion of Esophageal Cancer Cells by Upregulating Neuropilin-1 Expression via STAT5A. Clinical Cancer Research. 20(23). 6153–6162. 45 indexed citations
20.
Wang, Xiaomin, Shang Li, Yu Zhang, et al.. (2013). PTP1B Contributes to Calreticulin-Induced Metastatic Phenotypes in Esophageal Squamous Cell Carcinoma. Molecular Cancer Research. 11(9). 986–994. 10 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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