Lei Hou

70 papers and 772 indexed citations i.

About

Lei Hou is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Lei Hou has authored 70 papers receiving a total of 772 indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Artificial Intelligence, 12 papers in Computer Vision and Pattern Recognition and 12 papers in Information Systems. Recurrent topics in Lei Hou’s work include Topic Modeling (46 papers), Natural Language Processing Techniques (30 papers) and Advanced Graph Neural Networks (19 papers). Lei Hou is often cited by papers focused on Topic Modeling (46 papers), Natural Language Processing Techniques (30 papers) and Advanced Graph Neural Networks (19 papers). Lei Hou collaborates with scholars based in China, Singapore and France. Lei Hou's co-authors include Juanzi Li, Zhiyuan Liu, Jiaxin Shi, Yixin Cao, Xin Lv, Chengjiang Li, Xu Han, Tat‐Seng Chua, Shulin Cao and Hanwang Zhang and has published in prestigious journals such as Physical Review Letters, Expert Systems with Applications and Information Sciences.

In The Last Decade

Co-authorship network of co-authors of Lei Hou i

Fields of papers citing papers by Lei Hou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Lei Hou

Since Specialization
Citations

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