Yulong Lu

32 papers and 253 indexed citations i.

About

Yulong Lu is a scholar working on Statistical and Nonlinear Physics, Mathematical Physics and Statistics and Probability. According to data from OpenAlex, Yulong Lu has authored 32 papers receiving a total of 253 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Statistical and Nonlinear Physics, 9 papers in Mathematical Physics and 8 papers in Statistics and Probability. Recurrent topics in Yulong Lu’s work include Markov Chains and Monte Carlo Methods (8 papers), Model Reduction and Neural Networks (6 papers) and Inverse Problems in Mathematical Physics and Imaging (5 papers). Yulong Lu is often cited by papers focused on Markov Chains and Monte Carlo Methods (8 papers), Model Reduction and Neural Networks (6 papers) and Inverse Problems in Mathematical Physics and Imaging (5 papers). Yulong Lu collaborates with scholars based in United States, China and United Kingdom. Yulong Lu's co-authors include Andrew M. Stuart, Jianfeng Lu, James Nolen, Marco Iglesias, Hendrik Weber, Bo Zhang, Li Wang, Guanghui Hu, Jonathan C. Mattingly and Yang Liu and has published in prestigious journals such as Journal of Computational Physics, Mathematics of Computation and SIAM Journal on Numerical Analysis.

In The Last Decade

Co-authorship network of co-authors of Yulong Lu i

Fields of papers citing papers by Yulong Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Yulong Lu

Since Specialization
Citations

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