Guang Lin

206 papers and 3.6k indexed citations i.

About

Guang Lin is a scholar working on Statistics, Probability and Uncertainty, Computational Mechanics and Statistical and Nonlinear Physics. According to data from OpenAlex, Guang Lin has authored 206 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Statistics, Probability and Uncertainty, 57 papers in Computational Mechanics and 48 papers in Statistical and Nonlinear Physics. Recurrent topics in Guang Lin’s work include Probabilistic and Robust Engineering Design (57 papers), Model Reduction and Neural Networks (43 papers) and Gaussian Processes and Bayesian Inference (18 papers). Guang Lin is often cited by papers focused on Probabilistic and Robust Engineering Design (57 papers), Model Reduction and Neural Networks (43 papers) and Gaussian Processes and Bayesian Inference (18 papers). Guang Lin collaborates with scholars based in United States, China and Hong Kong. Guang Lin's co-authors include George Em Karniadakis, Ziyang Huang, Sheng Zhang, Arezoo M. Ardekani, Bledar A. Konomi, Weixuan Li, J. Nathan Kutz, Xiu Yang, Zecheng Zhang and Georgios Karagiannis and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and Journal of the American Chemical Society.

In The Last Decade

Co-authorship network of co-authors of Guang Lin i

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Fields of papers citing papers by Guang Lin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Guang Lin

Since Specialization

Citations

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