Yucheng Low

8 papers and 1.5k indexed citations i.

About

Yucheng Low is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Yucheng Low has authored 8 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 4 papers in Information Systems. Recurrent topics in Yucheng Low’s work include Graph Theory and Algorithms (4 papers), Advanced Graph Neural Networks (3 papers) and Cloud Computing and Resource Management (3 papers). Yucheng Low is often cited by papers focused on Graph Theory and Algorithms (4 papers), Advanced Graph Neural Networks (3 papers) and Cloud Computing and Resource Management (3 papers). Yucheng Low collaborates with scholars based in United States and United Kingdom. Yucheng Low's co-authors include Joseph E. Gonzalez, Carlos Guestrin, Danny Bickson, Joseph M. Hellerstein, Aapo Kyrola, Haijie Gu, Arthur Gretton, Deepak Agarwal, Alexander J. Smola and Pulkit Agrawal and has published in prestigious journals such as Proceedings of the VLDB Endowment, Operating Systems Design and Implementation and CiteSeer X (The Pennsylvania State University).

In The Last Decade

Co-authorship network of co-authors of Yucheng Low i

Fields of papers citing papers by Yucheng Low

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Yucheng Low

Since Specialization
Citations

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