Wanni Xu

443 citations
11 papers · 224 indexed · 1 hit paper · h-index 6
Topics
Radiomics and Machine Learning in Medical Imaging (2 papers)Advanced Image Fusion Techniques (2 papers)Brain Tumor Detection and Classification (2 papers)
Partner nations
ChinaTaiwan

In The Last Decade

Wanni Xu

9 papers receiving 213 citations

Hit Papers

ResNet and its application to medical image processing: R...2023202620242025202350100150

Peers

Wanni Xu
Comparison fields: 5 of 83
  • Radiology, Nuclear Medicine and Imaging 65
  • Computer Vision and Pattern Recognition 57
  • Artificial Intelligence 53
  • Biomedical Engineering 40
  • Neurology 30
Replace You-Lei Fu with:
You-Lei Fu China
Qiyuan Wang China
Iván Macía Spain
Muhammad Nadeem Cheema Australia
Anam Nazir Australia
Yeejin Lee South Korea
Dongmei Zhu China
Fandong Zhang China
Xuesheng Bian China
Amirali Molaei Iran
Wanni Xu relative to You-Lei Fu China You-Lei Fu's profile →
Citations per field
00.5×1.5×
You-Lei Fu · 1×
Citations per year

Countries citing papers authored by Wanni Xu

Since Specialization
Citations

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

Fields of papers citing papers by Wanni Xu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wanni Xu

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

All Works

11 of 11 papers shown
#WorkIndexed citations
1 0
2 3
3 6
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ResNet and its application to medical image processing: Research progress and challengesbreakdown →
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5 18
6 14
7 11
8 5
9 5
10 3
11 0

About Wanni Xu

Wanni Xu is a scholar working on Museology, Computer Graphics and Computer-Aided Design and Computer Vision and Pattern Recognition, having authored 11 papers that have together received 224 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (2 papers), Advanced Image Fusion Techniques (2 papers) and Brain Tumor Detection and Classification (2 papers). The work is most often cited by research in Health Informatics (7 citations), Neurology (30 citations) and Computer Vision and Pattern Recognition (57 citations). Wanni Xu has collaborated with scholars based in China and Taiwan. Frequent co-authors include You-Lei Fu, Dongmei Zhu, Kelvin K. L. Wong, Huasen Xu, Muhammad Ayoub, Weimin Chen, Feng Su, Jianlong Huang, Shungen Xiao and Jie Lin. Their work appears in journals such as Sustainability, Frontiers in Physiology and Applied Sciences.

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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