Cheng Wan

33 papers and 112 indexed citations i.

About

Cheng Wan is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Cheng Wan has authored 33 papers receiving a total of 112 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 7 papers in Computer Vision and Pattern Recognition and 5 papers in Signal Processing. Recurrent topics in Cheng Wan’s work include Advanced Vision and Imaging (4 papers), Brain Tumor Detection and Classification (3 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). Cheng Wan is often cited by papers focused on Advanced Vision and Imaging (4 papers), Brain Tumor Detection and Classification (3 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). Cheng Wan collaborates with scholars based in China, United States and Japan. Cheng Wan's co-authors include Hong Li, Mian Chen, Yan Jin, Athman Bouguettaya, Xuan Zhou, Sixu Li, Yun Liu, Yongan Zhang, Yonggan Fu and Chaojian Li and has published in prestigious journals such as Journal of the American Medical Informatics Association, Frontiers in Neuroscience and Knowledge-Based Systems.

In The Last Decade

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

Fields of papers citing papers by Cheng Wan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Cheng Wan

Since Specialization
Citations

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