Xiaoran Yan

55 papers and 1.5k indexed citations i.

About

Xiaoran Yan is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics and Electrical and Electronic Engineering. According to data from OpenAlex, Xiaoran Yan has authored 55 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 13 papers in Statistical and Nonlinear Physics and 11 papers in Electrical and Electronic Engineering. Recurrent topics in Xiaoran Yan’s work include Complex Network Analysis Techniques (13 papers), Nanocomposite Films for Food Packaging (9 papers) and Advanced Graph Neural Networks (7 papers). Xiaoran Yan is often cited by papers focused on Complex Network Analysis Techniques (13 papers), Nanocomposite Films for Food Packaging (9 papers) and Advanced Graph Neural Networks (7 papers). Xiaoran Yan collaborates with scholars based in China, United States and Australia. Xiaoran Yan's co-authors include Kristina Lerman, Xin-Zeng Wu, Xiangyou Wang, Meng Cheng, Juan Wang, Rongfei Zhang, Yingjun Cui, Olaf Sporns, Yirong Wang and Cristopher Moore and has published in prestigious journals such as PLoS ONE, Applied Catalysis B Environment and Energy and Scientific Reports.

In The Last Decade

Co-authorship network of co-authors of Xiaoran Yan i

Fields of papers citing papers by Xiaoran Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Xiaoran Yan

Since Specialization
Citations

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