Wanni Xu

9 papers receiving 213 citations

Wanni Xu's Hit Papers

ResNet and its application to medical image processing: Research progress and challenges 2023 · 159 citations
1590+1+2Years since publication50100150

Peers

Wanni Xu
Comparison fields: 5 of 83
  • Health Informatics 7
  • Neurology 30
  • Computer Vision and Pattern Recognition 57
  • Radiology, Nuclear Medicine and Imaging 65
  • Computer Graphics and Computer-Aided Design 7
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-authors

The 18 scholars most cited alongside Wanni Xu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Wanni Xu Line = papers co-authored together Wanni Xu links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1
ResNet and its application to medical image processing: Research progress and challenges
Hit paper breakdown →
2023159
2 202318
3 202214
4 202211
5 20236
6 20225
7 20225
8 20233
9 20213
10 20210
11 20240

About Wanni Xu

Wanni Xu is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering, Social Psychology, Radiology, Nuclear Medicine and Imaging and Cognitive Neuroscience, having authored 11 papers that have together received 224 indexed citations. Recurring topics across this work include Brain Tumor Detection and Classification (2 papers), AI in cancer detection (2 papers), Color perception and design (2 papers), Advanced Image Fusion Techniques (2 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Image Enhancement Techniques (2 papers), Color Science and Applications (1 paper) and Aesthetic Perception and Analysis (1 paper). The work is most often cited by research in Health Informatics (7 citations), Neurology (30 citations), Computer Vision and Pattern Recognition (57 citations), Radiology, Nuclear Medicine and Imaging (65 citations) and Computer Graphics and Computer-Aided Design (7 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, Feng Su, Weimin Chen, Chao Liu, Siyu Huang and Yifeng Huang. Their work appears in journals such as Computer Methods and Programs in Biomedicine, Frontiers in Physiology, Multimedia Tools and Applications, Sustainability and Computer Modeling in Engineering & 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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