Yingyu Liang

52 papers and 1.5k indexed citations i.

About

Yingyu Liang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Statistical and Nonlinear Physics. According to data from OpenAlex, Yingyu Liang has authored 52 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Artificial Intelligence, 11 papers in Computer Vision and Pattern Recognition and 6 papers in Statistical and Nonlinear Physics. Recurrent topics in Yingyu Liang’s work include Topic Modeling (9 papers), Stochastic Gradient Optimization Techniques (6 papers) and Machine Learning and Algorithms (6 papers). Yingyu Liang is often cited by papers focused on Topic Modeling (9 papers), Stochastic Gradient Optimization Techniques (6 papers) and Machine Learning and Algorithms (6 papers). Yingyu Liang collaborates with scholars based in United States, China and Germany. Yingyu Liang's co-authors include Sanjeev Arora, Tengyu Ma, Yuanzhi Li, William A. Sethares, Zhongkai Sun, Andrej Risteski, Maria-Florina Balcan, Shengchao Liu, Jia‐Mian Hu and Anthony Gitter and has published in prestigious journals such as NeuroImage, Journal of Machine Learning Research and SIAM Journal on Computing.

In The Last Decade

Co-authorship network of co-authors of Yingyu Liang i

Fields of papers citing papers by Yingyu Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Yingyu Liang

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025