Xuemin Lin

393 papers and 8.3k indexed citations i.

About

Xuemin Lin is a scholar working on Signal Processing, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Xuemin Lin has authored 393 papers receiving a total of 8.3k indexed citations (citations by other indexed papers that have themselves been cited), including 189 papers in Signal Processing, 157 papers in Artificial Intelligence and 145 papers in Computer Networks and Communications. Recurrent topics in Xuemin Lin’s work include Data Management and Algorithms (185 papers), Advanced Graph Neural Networks (94 papers) and Complex Network Analysis Techniques (90 papers). Xuemin Lin is often cited by papers focused on Data Management and Algorithms (185 papers), Advanced Graph Neural Networks (94 papers) and Complex Network Analysis Techniques (90 papers). Xuemin Lin collaborates with scholars based in Australia, China and Hong Kong. Xuemin Lin's co-authors include Wenjie Zhang, Ying Zhang, Lu Qin, Jeffrey Xu Yu, Jian Pei, Lijun Chang, Lin Wu, Wei Wang, Yang Wang and Yidong Yuan and has published in prestigious journals such as IEEE Transactions on Image Processing, IEEE Access and Information Sciences.

In The Last Decade

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

Fields of papers citing papers by Xuemin Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Xuemin Lin

Since Specialization
Citations

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