Shu‐E Zeng

723 total citations
9 papers, 114 citations indexed

About

Shu‐E Zeng is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Pathology and Forensic Medicine. According to data from OpenAlex, Shu‐E Zeng has authored 9 papers receiving a total of 114 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Radiology, Nuclear Medicine and Imaging, 3 papers in Artificial Intelligence and 2 papers in Pathology and Forensic Medicine. Recurrent topics in Shu‐E Zeng's work include Radiomics and Machine Learning in Medical Imaging (5 papers), AI in cancer detection (3 papers) and Ultrasound Imaging and Elastography (2 papers). Shu‐E Zeng is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (5 papers), AI in cancer detection (3 papers) and Ultrasound Imaging and Elastography (2 papers). Shu‐E Zeng collaborates with scholars based in China, Switzerland and United States. Shu‐E Zeng's co-authors include Xin‐Wu Cui, Christoph F. Dietrich, Jianwei Xu, Fan Jiang, Wenzhi Lv, Ting Wang, Wentao Qi, Ge-Ge Wu, Rui Yin and Xuejun Ni and has published in prestigious journals such as Medicine, Frontiers in Oncology and Journal of Ultrasound in Medicine.

In The Last Decade

Shu‐E Zeng

8 papers receiving 113 citations

Peers

Shu‐E Zeng

RNMI

AI

EDM

HI

BE

Keluo Yao United States

Krishna Nand Keshava Murthy United States

Jianhao Xiong China

Paul Jehanno France

Rémy Dubois France

Olivier Dehaene France

David L. Hölscher Germany

Clare McGenity United Kingdom

Ran Godrich United States

Jeremy D. Kunz United States

Keluo Yao United States

Shu‐E Zeng

52 ×0.7

RNMI

83 ×1.7

AI

7 ×0.2

EDM

8 ×0.3

HI

6 ×0.3

BE

Citations per year, relative to Shu‐E Zeng Shu‐E Zeng (= 1×) peers Keluo Yao

Countries citing papers authored by Shu‐E Zeng

Since Specialization

Citations

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

Fields of papers citing papers by Shu‐E Zeng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shu‐E Zeng. 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 Shu‐E Zeng. The network helps show where Shu‐E Zeng may publish in the future.

Co-authorship network of co-authors of Shu‐E Zeng

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

All Works

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9 of 9 papers shown

1.

Liu, Chen, Nan Li, Ning Zhang, et al.. (2024). Combined use of super-resolution ultrasound imaging and shear-wave elastography for differential diagnosis of breast masses. Frontiers in Oncology. 14. 1497140–1497140.

2.

Zhou, Liqiang, Shu‐E Zeng, Jianwei Xu, et al.. (2023). Deep learning predicts cervical lymph node metastasis in clinically node-negative papillary thyroid carcinoma. Insights into Imaging. 14(1). 222–222. 14 indexed citations

3.

Wang, Xi, Min Xu, Shu‐E Zeng, et al.. (2023). Deep Learning-assisted Diagnosis of Breast Lesions on US Images: A Multivendor, Multicenter Study. Radiology Artificial Intelligence. 5(5). e220185–e220185. 7 indexed citations

4.

Zhang, Ge, Nan Li, Xianyang Jiang, et al.. (2022). Ultrasound super-resolution imaging for differential diagnosis of breast masses. Frontiers in Oncology. 12. 1049991–1049991. 21 indexed citations

5.

Wan, Neng, et al.. (2021). Measuring spatial access to emergency general surgery services: does the method matter?. Health Services and Outcomes Research Methodology. 22(1). 79–95. 5 indexed citations

6.

Jiang, Fan, Rui Yin, Ge-Ge Wu, et al.. (2021). A Review of the Role of the S-Detect Computer-Aided Diagnostic Ultrasound System in the Evaluation of Benign and Malignant Breast and Thyroid Masses. Medical Science Monitor. 27. e931957–e931957. 27 indexed citations

7.

Qi, Wentao, Shu‐E Zeng, Ting Wang, et al.. (2021). The Added Value of a Computer‐Aided Diagnosis System in Differential Diagnosis of Breast Lesions by Radiologists With Different Experience. Journal of Ultrasound in Medicine. 41(6). 1355–1363. 14 indexed citations

8.

Wei, Qi, Shu‐E Zeng, Ting Wang, et al.. (2020). The value of S-Detect in improving the diagnostic performance of radiologists for the differential diagnosis of thyroid nodules. Medical Ultrasonography. 22(4). 415–415. 23 indexed citations

9.

Liu, Yulin, et al.. (2020). Primary vaginal Ewing sarcoma with uterine fibroid. Medicine. 99(27). e20859–e20859. 3 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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