Yün Peng

34 papers and 542 indexed citations i.

About

Yün Peng is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Yün Peng has authored 34 papers receiving a total of 542 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 10 papers in Computer Vision and Pattern Recognition and 8 papers in Signal Processing. Recurrent topics in Yün Peng’s work include Data Management and Algorithms (7 papers), Graph Theory and Algorithms (6 papers) and Advanced Graph Neural Networks (5 papers). Yün Peng is often cited by papers focused on Data Management and Algorithms (7 papers), Graph Theory and Algorithms (6 papers) and Advanced Graph Neural Networks (5 papers). Yün Peng collaborates with scholars based in China, Hong Kong and Singapore. Yün Peng's co-authors include James A. Reggia, Jianliang Xu, Byron Choi, Huawei Zhao, Cuiyun Gao, Michael R. Lyu, Chaozheng Wang, Hongyu Zhang, Wenjie Zhang and Sourav S. Bhowmick and has published in prestigious journals such as IEEE Transactions on Knowledge and Data Engineering, IEEE Transactions on Mobile Computing and Journal of Biomedical Informatics.

In The Last Decade

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

Fields of papers citing papers by Yün Peng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Yün Peng

Since Specialization
Citations

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