Ziwei Nie

22 total papers · 512 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), COVID-19 diagnosis using AI (3 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). Ziwei Nie is often cited by papers focused on Medical Image Segmentation Techniques (4 papers), COVID-19 diagnosis using AI (3 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). Ziwei Nie collaborates with scholars based in China and Norway. Ziwei Nie's co-authors include Xiaoping Yang, Guoqiang Dong, Qiongjie Zhu, Jun Ma, Jian He, Xingle An, Zhiqiang He, Jianan Chen, Yixin Wang 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

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Ziwei Nie	70	44	33	16	11	9	95
Naji Khosravan	74 1.1×	85 1.9×	23 0.7×	19 1.2×	20 1.8×	6	139
Ali Emre Kavur	48 0.7×	41 0.9×	34 1.0×	9 0.6×	8 0.7×	8	108
Ittai Dayan	70 1.0×	37 0.8×	19 0.6×	27 1.7×	17 1.5×	8	112
Dejiang Xu	155 2.2×	37 0.8×	33 1.0×	21 1.3×	23 2.1×	15	246
Shruthi Bannur	49 0.7×	80 1.8×	32 1.0×	30 1.9×	9 0.8×	6	135
Peilun Shi	64 0.9×	72 1.6×	57 1.7×	42 2.6×	3 0.3×	8	227
Matthias Eisenmann	46 0.7×	31 0.7×	14 0.4×	29 1.8×	9 0.8×	7	88
Qiongjie Zhu	69 1.0×	37 0.8×	15 0.5×	16 1.0×	13 1.2×	6	78
Florin C. Ghesu	122 1.7×	83 1.9×	51 1.5×	25 1.6×	31 2.8×	13	220
Peter M. Full	51 0.7×	39 0.9×	15 0.5×	10 0.6×	6 0.5×	7	90

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

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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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