Ziwei Nie

519 total citations
9 papers, 95 citations indexed

About

Ziwei Nie is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence. According to data from OpenAlex, Ziwei Nie has authored 9 papers receiving a total of 95 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 5 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Artificial Intelligence. Recurrent topics in Ziwei Nie's work include Medical Image Segmentation Techniques (4 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and AI in cancer detection (3 papers). Ziwei Nie is often cited by papers focused on Medical Image Segmentation Techniques (4 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and AI in cancer detection (3 papers). Ziwei Nie collaborates with scholars based in China and Norway. Ziwei Nie's co-authors include Xiaoping Yang, Qiongjie Zhu, Jun Ma, Jian He, Guoqiang Dong, Ziqi Yu, Yixin Wang, Jianan Chen, Zhiqiang He and Cheng Ge and has published in prestigious journals such as IEEE Transactions on Medical Imaging, International Journal of Computer Vision and Physics in Medicine and Biology.

In The Last Decade

Ziwei Nie

8 papers receiving 93 citations

Peers

Ziwei Nie

RNMI

AI

CVPR

HI

PRM

Naji Khosravan United States

A. Sánchez Germany

Youssef Skandarani Canada

Patrick Ferdinand Christ Germany

Shruthi Bannur United States

Guoqiang Dong China

Ali Emre Kavur Türkiye

Qiongjie Zhu China

Jungkyu Park United States

Ittai Dayan United States

Naji Khosravan United States

Ziwei Nie

74 ×1.1

RNMI

86 ×2.0

AI

23 ×0.7

CVPR

19 ×1.2

HI

20 ×1.8

PRM

Citations per year, relative to Ziwei Nie Ziwei Nie (= 1×) peers Naji Khosravan

Countries citing papers authored by Ziwei Nie

Since Specialization

Citations

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

Fields of papers citing papers by Ziwei Nie

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ziwei Nie

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

All Works

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

1.

Cao, Yingying, et al.. (2025). Segment Like A Doctor: Learning reliable clinical thinking and experience for pancreas and pancreatic cancer segmentation. Medical Image Analysis. 102. 103539–103539. 2 indexed citations

2.

Mao, Liang, et al.. (2024). Automated peripancreatic vessel segmentation and labeling based on iterative trunk growth and weakly supervised mechanism. Artificial Intelligence in Medicine. 150. 102825–102825. 3 indexed citations

3.

Nie, Ziwei, et al.. (2023). Rib segmentation in chest x-ray images based on unsupervised domain adaptation. Biomedical Physics & Engineering Express. 10(1). 15021–15021.

4.

Li, Chen, Ziwei Nie, & Xiaoping Yang. (2022). Splitting proximate algorithm for deformable image registration based on functions of bounded deformation. Medical Physics. 49(8). 5149–5159. 1 indexed citations

5.

Nie, Ziwei, Chen Li, Hairong Liu, & Xiaoping Yang. (2021). A Variational Model for Deformable Registration of Uni-modal Medical Images with Intensity Biases. Journal of Mathematical Imaging and Vision. 63(8). 1057–1068. 1 indexed citations

6.

Nie, Ziwei, Chen Li, Hairong Liu, & Xiaoping Yang. (2021). Deformable Image Registration Based on Functions of Bounded Generalized Deformation. International Journal of Computer Vision. 129(5). 1341–1358. 1 indexed citations

7.

Ma, Jun, Yixin Wang, Xingle An, et al.. (2020). Towards Efficient COVID-19 CT Annotation: A Benchmark for Lung and Infection Segmentation. arXiv (Cornell University). 51 indexed citations

8.

Ma, Jun, Ziwei Nie, Congcong Wang, et al.. (2020). Active contour regularized semi-supervised learning for COVID-19 CT infection segmentation with limited annotations. Physics in Medicine and Biology. 65(22). 225034–225034. 19 indexed citations

9.

Nie, Ziwei & Xiaoping Yang. (2019). Deformable Image Registration Using Functions of Bounded Deformation. IEEE Transactions on Medical Imaging. 38(6). 1488–1500. 17 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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