Baoyun Peng

About

Baoyun Peng is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Baoyun Peng has authored 4 papers receiving a total of 339 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 1 paper in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Baoyun Peng’s work include Domain Adaptation and Few-Shot Learning (3 papers), Advanced Neural Network Applications (2 papers) and Machine Learning and ELM (1 paper). Baoyun Peng is often cited by papers focused on Domain Adaptation and Few-Shot Learning (3 papers), Advanced Neural Network Applications (2 papers) and Machine Learning and ELM (1 paper). Baoyun Peng collaborates with scholars based in China and Hong Kong. Baoyun Peng's co-authors include Jin Xiao, Jiaheng Liu, Yichao Wu, Dongsheng Li, Shunfeng Zhou, Yu Liu, Zhaoning Zhang, Ding Liang, Xiaolin Hu and Junjie Yan and has published in prestigious journals such as IEEE Transactions on Parallel and Distributed Systems, 2021 IEEE/CVF International Conference on Computer Vision (ICCV) and 2022 International Joint Conference on Neural Networks (IJCNN).

In The Last Decade

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

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Fields of papers citing papers by Baoyun Peng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Baoyun Peng

Since Specialization

Citations

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