Peng Cao

30 papers and 618 indexed citations i.

About

Peng Cao is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Cognitive Neuroscience. According to data from OpenAlex, Peng Cao has authored 30 papers receiving a total of 618 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 8 papers in Radiology, Nuclear Medicine and Imaging and 7 papers in Cognitive Neuroscience. Recurrent topics in Peng Cao’s work include Imbalanced Data Classification Techniques (10 papers), Functional Brain Connectivity Studies (6 papers) and Artificial Intelligence in Healthcare (6 papers). Peng Cao is often cited by papers focused on Imbalanced Data Classification Techniques (10 papers), Functional Brain Connectivity Studies (6 papers) and Artificial Intelligence in Healthcare (6 papers). Peng Cao collaborates with scholars based in China, Canada and United States. Peng Cao's co-authors include Osmar R. Zäıane, Jinzhu Yang, Dazhe Zhao, Xiaoli Liu, Min Huang, Yuan Yuan, Yuzhe Yang, Lijie Fan, Dina Katabi and Tianhong Li and has published in prestigious journals such as Pattern Recognition, Neurocomputing and Computer Methods and Programs in Biomedicine.

In The Last Decade

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

Fields of papers citing papers by Peng Cao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Peng Cao

Since Specialization
Citations

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