Fang-Hua Lin

15 papers and 844 indexed citations i.

About

Fang-Hua Lin is a scholar working on Applied Mathematics, Computational Theory and Mathematics and Mathematical Physics. According to data from OpenAlex, Fang-Hua Lin has authored 15 papers receiving a total of 844 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Applied Mathematics, 6 papers in Computational Theory and Mathematics and 6 papers in Mathematical Physics. Recurrent topics in Fang-Hua Lin’s work include Nonlinear Partial Differential Equations (7 papers), Optimal Transport in Geometry and Analysis (7 papers) and Advanced Mathematical Modeling in Engineering (6 papers). Fang-Hua Lin is often cited by papers focused on Nonlinear Partial Differential Equations (7 papers), Optimal Transport in Geometry and Analysis (7 papers) and Advanced Mathematical Modeling in Engineering (6 papers). Fang-Hua Lin collaborates with scholars based in United States, China and Germany. Fang-Hua Lin's co-authors include Chun Liu, Robert Hardt, David Kinderlehrer, Luis Caffarelli, Marco Avellaneda, Nicola Garofalo, Eugene B. Fabes, Zhen Lei and Yi Zhou and has published in prestigious journals such as Communications in Mathematical Physics, Annals of Mathematics and Inventiones mathematicae.

In The Last Decade

Co-authorship network of co-authors of Fang-Hua Lin i

Fields of papers citing papers by Fang-Hua Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Fang-Hua Lin

Since Specialization
Citations

This map shows the geographic impact of Fang-Hua 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 Fang-Hua Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fang-Hua 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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2025