Shouxun Lin

37 papers and 277 indexed citations i.

About

Shouxun Lin is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Shouxun Lin has authored 37 papers receiving a total of 277 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 20 papers in Computer Vision and Pattern Recognition and 8 papers in Signal Processing. Recurrent topics in Shouxun Lin’s work include Natural Language Processing Techniques (18 papers), Topic Modeling (16 papers) and Image Retrieval and Classification Techniques (8 papers). Shouxun Lin is often cited by papers focused on Natural Language Processing Techniques (18 papers), Topic Modeling (16 papers) and Image Retrieval and Classification Techniques (8 papers). Shouxun Lin collaborates with scholars based in China, Singapore and Ireland. Shouxun Lin's co-authors include Yongdong Zhang, Qun Liu, Yang Liu, Yang Liu, Xinyan Xiao, Haiyong Luo, Wen Yuan, Wu Yuan, Zhaopeng Tu and Qun Liu and has published in prestigious journals such as Neurocomputing, IEEE Transactions on Circuits and Systems for Video Technology and Signal Processing.

In The Last Decade

Co-authorship network of co-authors of Shouxun Lin i

Fields of papers citing papers by Shouxun Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Shouxun Lin

Since Specialization
Citations

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