Longqi Yang

22 papers and 477 indexed citations i.

About

Longqi Yang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Longqi Yang has authored 22 papers receiving a total of 477 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 3 papers in Information Systems. Recurrent topics in Longqi Yang’s work include Advanced Graph Neural Networks (3 papers), Recommender Systems and Techniques (3 papers) and Topic Modeling (3 papers). Longqi Yang is often cited by papers focused on Advanced Graph Neural Networks (3 papers), Recommender Systems and Techniques (3 papers) and Topic Modeling (3 papers). Longqi Yang collaborates with scholars based in United States, China and Hong Kong. Longqi Yang's co-authors include Jaime Teevan, Brent Hecht, Sonia Jaffe, Siddharth Suri, David Holtz, Neha Shah, Shilpi Sinha, Jeffrey Weston, Kevin Sherman and Deborah Estrin and has published in prestigious journals such as Proceedings of the National Academy of Sciences, International Journal of Computer Vision and IEEE Journal of Selected Topics in Signal Processing.

In The Last Decade

Co-authorship network of co-authors of Longqi Yang i

Fields of papers citing papers by Longqi Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Longqi Yang

Since Specialization
Citations

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