Yun Luo

60 total papers · 972 total citations
40 papers, 741 citations indexed

About

Yun Luo is a scholar working on Statistical and Nonlinear Physics, Artificial Intelligence and Sociology and Political Science. According to data from OpenAlex, Yun Luo has authored 40 papers receiving a total of 741 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Statistical and Nonlinear Physics, 9 papers in Artificial Intelligence and 7 papers in Sociology and Political Science. Recurrent topics in Yun Luo's work include Complex Network Analysis Techniques (8 papers), Opinion Dynamics and Social Influence (7 papers) and Arsenic contamination and mitigation (5 papers). Yun Luo is often cited by papers focused on Complex Network Analysis Techniques (8 papers), Opinion Dynamics and Social Influence (7 papers) and Arsenic contamination and mitigation (5 papers). Yun Luo collaborates with scholars based in China, United States and India. Yun Luo's co-authors include Jeffrey G. Catalano, Andrew J. Frierdich, Shiliang Su, Daniel E. Giammar, Linden Huhmann, Changbin Yu, Jianhua Pi, Xin Jing, Lirong Hu and Shenjing He and has published in prestigious journals such as Environmental Science & Technology, PLoS ONE and Geology.

In The Last Decade

Yun Luo

36 papers receiving 720 citations

Author Peers

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

Author Last Decade Papers Cites
Yun Luo 167 130 118 102 92 40 741
Yuxia Wang 106 0.6× 54 0.4× 155 1.3× 88 0.9× 46 0.5× 74 879
Yichao Wang 73 0.4× 25 0.2× 151 1.3× 32 0.3× 32 0.3× 39 835
Pingjian Yang 70 0.4× 25 0.2× 49 0.4× 49 0.5× 16 0.2× 40 625
Jundong Chen 63 0.4× 36 0.3× 17 0.1× 20 0.2× 43 0.5× 49 699
Xiaoqian Song 55 0.3× 20 0.2× 42 0.4× 120 1.2× 17 0.2× 34 846
Debra Knopman 64 0.4× 74 0.6× 118 1.0× 10 0.1× 56 0.6× 72 765
Bing-Jye Wang 103 0.6× 56 0.4× 86 0.7× 21 0.2× 26 0.3× 14 676
Wenjie Liao 22 0.1× 16 0.1× 110 0.9× 58 0.6× 32 0.3× 29 851
Lun Liu 70 0.4× 27 0.2× 181 1.5× 23 0.2× 44 0.5× 38 675
Haitao Li 46 0.3× 82 0.6× 110 0.9× 17 0.2× 26 0.3× 35 672

Countries citing papers authored by Yun Luo

Since Specialization
Citations

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

Fields of papers citing papers by Yun Luo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yun Luo

This figure shows the co-authorship network connecting the top 25 collaborators of Yun Luo. A scholar is included among the top collaborators of Yun Luo 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 Yun Luo. Yun Luo 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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