Yinpeng Dong

35 papers and 1.1k indexed citations i.

About

Yinpeng Dong is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Yinpeng Dong has authored 35 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Artificial Intelligence, 21 papers in Computer Vision and Pattern Recognition and 4 papers in Signal Processing. Recurrent topics in Yinpeng Dong’s work include Adversarial Robustness in Machine Learning (26 papers), Domain Adaptation and Few-Shot Learning (11 papers) and Anomaly Detection Techniques and Applications (10 papers). Yinpeng Dong is often cited by papers focused on Adversarial Robustness in Machine Learning (26 papers), Domain Adaptation and Few-Shot Learning (11 papers) and Anomaly Detection Techniques and Applications (10 papers). Yinpeng Dong collaborates with scholars based in China, United States and Singapore. Yinpeng Dong's co-authors include Jun Zhu, Hang Su, Tianyu Pang, Baoyuan Wu, Zhifeng Li, Tong Zhang, Wei Liu, Zihao Xiao, Jianguo Li and Xiao Yang and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Information Sciences and International Journal of Computer Vision.

In The Last Decade

Co-authorship network of co-authors of Yinpeng Dong i

Fields of papers citing papers by Yinpeng Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Yinpeng Dong

Since Specialization
Citations

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