Long Ye

70 papers and 247 indexed citations i.

About

Long Ye is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Long Ye has authored 70 papers receiving a total of 247 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Computer Vision and Pattern Recognition, 12 papers in Signal Processing and 11 papers in Artificial Intelligence. Recurrent topics in Long Ye’s work include Advanced Vision and Imaging (13 papers), Music and Audio Processing (8 papers) and EEG and Brain-Computer Interfaces (7 papers). Long Ye is often cited by papers focused on Advanced Vision and Imaging (13 papers), Music and Audio Processing (8 papers) and EEG and Brain-Computer Interfaces (7 papers). Long Ye collaborates with scholars based in China, Australia and South Korea. Long Ye's co-authors include Yong Guo, Lily Hu, Wei Zhong, Yanfeng Peng, Xueyuan Xu, Yi He, Jian Liu, Rui Ding, Zhuxian Zhou and Liming Jiang and has published in prestigious journals such as PLoS ONE, Chemical Engineering Journal and IEEE Access.

In The Last Decade

Co-authorship network of co-authors of Long Ye i

Fields of papers citing papers by Long Ye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Long Ye

Since Specialization
Citations

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