Renchi Yang

22 papers and 182 indexed citations i.

About

Renchi Yang is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Renchi Yang has authored 22 papers receiving a total of 182 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 15 papers in Statistical and Nonlinear Physics and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in Renchi Yang’s work include Advanced Graph Neural Networks (18 papers), Complex Network Analysis Techniques (15 papers) and Recommender Systems and Techniques (6 papers). Renchi Yang is often cited by papers focused on Advanced Graph Neural Networks (18 papers), Complex Network Analysis Techniques (15 papers) and Recommender Systems and Techniques (6 papers). Renchi Yang collaborates with scholars based in Hong Kong, Singapore and Qatar. Renchi Yang's co-authors include Xiaokui Xiao, J. Y. Shi, Yin Yang, Sourav S. Bhowmick, Keke Huang, Wenqing Lin, Zhewei Wei, Sibo Wang, Juncheng Liu and Nan Tang and has published in prestigious journals such as Proceedings of the VLDB Endowment, ACM Transactions on Database Systems and ACM SIGMOD Record.

In The Last Decade

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

Fields of papers citing papers by Renchi Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Renchi Yang

Since Specialization
Citations

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