Wan Wan

About

Wan Wan is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Biomedical Engineering. According to data from OpenAlex, Wan Wan has authored 4 papers receiving a total of 167 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Computer Vision and Pattern Recognition, 2 papers in Radiology, Nuclear Medicine and Imaging and 1 paper in Biomedical Engineering. Recurrent topics in Wan Wan’s work include Radiomics and Machine Learning in Medical Imaging (2 papers), Medical Image Segmentation Techniques (2 papers) and Advanced Neural Network Applications (1 paper). Wan Wan is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (2 papers), Medical Image Segmentation Techniques (2 papers) and Advanced Neural Network Applications (1 paper). Wan Wan collaborates with scholars based in China and Canada. Wan Wan's co-authors include George Nakhla, Nermen Maximous, Ji-Bing Liu, Kaixuan Guo, Lei Qu, Xueliang Huang, Jun Wu, Yu Liu, Peng Duan and Jun Tang and has published in prestigious journals such as Journal of Membrane Science, Pattern Recognition Letters and Chinese Journal of Organic Chemistry.

In The Last Decade

Co-authorship network of co-authors of Wan Wan i

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Fields of papers citing papers by Wan Wan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Wan Wan

Since Specialization

Citations

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

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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