Peng Wan

32 papers and 358 indexed citations i.

About

Peng Wan is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Peng Wan has authored 32 papers receiving a total of 358 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Radiology, Nuclear Medicine and Imaging, 9 papers in Artificial Intelligence and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in Peng Wan’s work include AI in cancer detection (7 papers), Radiomics and Machine Learning in Medical Imaging (6 papers) and Advanced machining processes and optimization (3 papers). Peng Wan is often cited by papers focused on AI in cancer detection (7 papers), Radiomics and Machine Learning in Medical Imaging (6 papers) and Advanced machining processes and optimization (3 papers). Peng Wan collaborates with scholars based in China, United States and Hong Kong. Peng Wan's co-authors include Arash Toudeshki, Reza Ehsani, Daoqiang Zhang, Fang Chen, You Wang, Wentao Kong, Juanyuan Hao, Quan Sun, Dongsheng Che and Haitao Fang and has published in prestigious journals such as IEEE Transactions on Medical Imaging, Applied Surface Science and IEEE Transactions on Biomedical Engineering.

In The Last Decade

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

Fields of papers citing papers by Peng Wan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Peng Wan

Since Specialization
Citations

This map shows the geographic impact of Peng 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 Peng Wan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peng 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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2025