L. Ren

About

L. Ren is a scholar working on Nuclear and High Energy Physics, Mechanical Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, L. Ren has authored 4 papers receiving a total of 22 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Nuclear and High Energy Physics, 1 paper in Mechanical Engineering and 1 paper in Computer Vision and Pattern Recognition. Recurrent topics in L. Ren’s work include Neutrino Physics Research (2 papers), Graph Theory and Algorithms (1 paper) and Fiber-reinforced polymer composites (1 paper). L. Ren is often cited by papers focused on Neutrino Physics Research (2 papers), Graph Theory and Algorithms (1 paper) and Fiber-reinforced polymer composites (1 paper). L. Ren collaborates with scholars based in United States and China. L. Ren's co-authors include U. Sarica, Ziyu Guan, A. Bodek, Jian Wu, D. Naples, Jiawei Han, Xifeng Yan, Nan Li and Deyuan Zhang and has published in prestigious journals such as Physical review. D, The European Physical Journal C and Advanced Engineering Materials.

In The Last Decade

Co-authorship network of co-authors of L. Ren i

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Fields of papers citing papers by L. Ren

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by L. Ren

Since Specialization

Citations

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