Longquan Dai

20 papers and 287 indexed citations i.

About

Longquan Dai is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Artificial Intelligence. According to data from OpenAlex, Longquan Dai has authored 20 papers receiving a total of 287 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computer Vision and Pattern Recognition, 5 papers in Computational Mechanics and 4 papers in Artificial Intelligence. Recurrent topics in Longquan Dai’s work include Image and Signal Denoising Methods (8 papers), Image Enhancement Techniques (7 papers) and Advanced Image Processing Techniques (5 papers). Longquan Dai is often cited by papers focused on Image and Signal Denoising Methods (8 papers), Image Enhancement Techniques (7 papers) and Advanced Image Processing Techniques (5 papers). Longquan Dai collaborates with scholars based in China and Australia. Longquan Dai's co-authors include Yuan Xie, Wensheng Zhang, Yanyun Qu, Dacheng Tao, Mengke Yuan, Xiaopeng Zhang, Jinhui Tang, Lizhuang Ma, Xiaopeng Zhang and Xueli Zhang and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and IEEE Transactions on Cybernetics.

In The Last Decade

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

Fields of papers citing papers by Longquan Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Longquan Dai

Since Specialization
Citations

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