Lu Ren

30 total papers · 576 total citations
12 papers, 408 citations indexed

About

Lu Ren is a scholar working on Health, Toxicology and Mutagenesis, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Lu Ren has authored 12 papers receiving a total of 408 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Health, Toxicology and Mutagenesis, 3 papers in Computer Vision and Pattern Recognition and 2 papers in Artificial Intelligence. Recurrent topics in Lu Ren's work include Atmospheric chemistry and aerosols (2 papers), Air Quality Monitoring and Forecasting (2 papers) and Medical Image Segmentation Techniques (2 papers). Lu Ren is often cited by papers focused on Atmospheric chemistry and aerosols (2 papers), Air Quality Monitoring and Forecasting (2 papers) and Medical Image Segmentation Techniques (2 papers). Lu Ren collaborates with scholars based in China, United States and Germany. Lu Ren's co-authors include Lawrence Carin, Mingyuan Zhou, Guillermo Sapiro, John Paisley, Laiguo Chen, David B. Dunson, Lan Du, Limei Cai, Qiusheng He and Guo Jiang and has published in prestigious journals such as Environmental Science & Technology, The Science of The Total Environment and Atmospheric Environment.

In The Last Decade

Lu Ren

10 papers receiving 401 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Lu Ren 131 93 92 75 66 12 408
Evaggelia Tsiligianni 141 1.1× 48 0.5× 90 1.0× 123 1.6× 22 0.3× 20 380
Na Zhao 51 0.4× 92 1.0× 190 2.1× 62 0.8× 23 0.3× 34 471
Philippe Garat 29 0.2× 92 1.0× 40 0.4× 46 0.6× 29 0.4× 9 472
Zeeshan Zeeshan 45 0.3× 65 0.7× 137 1.5× 50 0.7× 47 0.7× 15 469
I. G. Zurbenko 161 1.2× 24 0.3× 29 0.3× 146 1.9× 273 4.1× 12 489
Masato Koda 21 0.2× 68 0.7× 15 0.2× 51 0.7× 40 0.6× 38 425
O. Couach 19 0.1× 49 0.5× 45 0.5× 66 0.9× 77 1.2× 7 495
Michael A. Wincek 12 0.1× 56 0.6× 11 0.1× 66 0.9× 18 0.3× 11 451
Juvêncio S. Nobre 12 0.1× 83 0.9× 75 0.8× 28 0.4× 12 0.2× 33 471
Junshan Wang 125 1.0× 194 2.1× 31 0.3× 199 2.7× 31 0.5× 21 489

Countries citing papers authored by Lu Ren

Since Specialization
Citations

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

Fields of papers citing papers by Lu Ren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lu Ren

This figure shows the co-authorship network connecting the top 25 collaborators of Lu Ren. A scholar is included among the top collaborators of Lu Ren based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Lu Ren. Lu Ren is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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