Peng Dai

9 papers and 325 indexed citations i.

About

Peng Dai is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computational Mechanics. According to data from OpenAlex, Peng Dai has authored 9 papers receiving a total of 325 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 4 papers in Artificial Intelligence and 2 papers in Computational Mechanics. Recurrent topics in Peng Dai’s work include Advanced Image and Video Retrieval Techniques (4 papers), Advanced Graph Neural Networks (2 papers) and Recommender Systems and Techniques (2 papers). Peng Dai is often cited by papers focused on Advanced Image and Video Retrieval Techniques (4 papers), Advanced Graph Neural Networks (2 papers) and Recommender Systems and Techniques (2 papers). Peng Dai collaborates with scholars based in China, Hong Kong and Canada. Peng Dai's co-authors include Weihang Zhang, Xue Wang, Lianghao Xia, Chao Huang, Liefeng Bo, Junfeng Chen, Yong Xu, Renliang Weng, Wongun Choi and Changshui Zhang and has published in prestigious journals such as IEEE Transactions on Image Processing, IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics) and IEEE Transactions on Multimedia.

In The Last Decade

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

Fields of papers citing papers by Peng Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Peng Dai

Since Specialization
Citations

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