Yin Lou

About

Yin Lou is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Yin Lou has authored 13 papers receiving a total of 959 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 3 papers in Signal Processing and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Yin Lou’s work include Machine Learning and Data Classification (3 papers), Explainable Artificial Intelligence (XAI) (3 papers) and Data Management and Algorithms (3 papers). Yin Lou is often cited by papers focused on Machine Learning and Data Classification (3 papers), Explainable Artificial Intelligence (XAI) (3 papers) and Data Management and Algorithms (3 papers). Yin Lou collaborates with scholars based in United States, China and France. Yin Lou's co-authors include Rich Caruana, Johannes Gehrke, Xing Xie, Wei Wang, Yu Zheng, Yan Huang, Chengyang Zhang, Giles Hooker, Kostas Zoumpatianos and Themis Palpanas and has published in prestigious journals such as Scientific Reports, Proceedings of the VLDB Endowment and Journal of Computational and Graphical Statistics.

In The Last Decade

Co-authorship network of co-authors of Yin Lou i

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Fields of papers citing papers by Yin Lou

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Yin Lou

Since Specialization

Citations

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