Yanjun Peng

About

Yanjun Peng is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence. According to data from OpenAlex, Yanjun Peng has authored 92 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Computer Vision and Pattern Recognition, 28 papers in Radiology, Nuclear Medicine and Imaging and 21 papers in Artificial Intelligence. Recurrent topics in Yanjun Peng’s work include Radiomics and Machine Learning in Medical Imaging (18 papers), Advanced Neural Network Applications (15 papers) and AI in cancer detection (14 papers). Yanjun Peng is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (18 papers), Advanced Neural Network Applications (15 papers) and AI in cancer detection (14 papers). Yanjun Peng collaborates with scholars based in China, United States and Hong Kong. Yanjun Peng's co-authors include Richard C.M. Yam, Peter W. Tse, Yanfei Guo, Dapeng Li, Shu‐Chuan Chu, Jeng‐Shyang Pan, Ning Zhao, Rui‐Sheng Jia, Haijuan Zhang and Cheng‐He Zhou and has published in prestigious journals such as Scientific Reports, Expert Systems with Applications and IEEE Access.

In The Last Decade

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

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Fields of papers citing papers by Yanjun Peng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Yanjun Peng

Since Specialization

Citations

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