Erjia Yan

81 papers and 3.0k indexed citations i.

About

Erjia Yan is a scholar working on Statistics, Probability and Uncertainty, Information Systems and Statistical and Nonlinear Physics. According to data from OpenAlex, Erjia Yan has authored 81 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Statistics, Probability and Uncertainty, 32 papers in Information Systems and 22 papers in Statistical and Nonlinear Physics. Recurrent topics in Erjia Yan’s work include scientometrics and bibliometrics research (47 papers), Complex Network Analysis Techniques (22 papers) and Web visibility and informetrics (15 papers). Erjia Yan is often cited by papers focused on scientometrics and bibliometrics research (47 papers), Complex Network Analysis Techniques (22 papers) and Web visibility and informetrics (15 papers). Erjia Yan collaborates with scholars based in United States, China and South Korea. Erjia Yan's co-authors include Ying Ding, Kai Li, Jason Rollins, Cassidy R. Sugimoto, Xuelian Pan, Weina Hua, Cui Ming, Yongjun Zhu, James Caverlee and A. E. Frazho and has published in prestigious journals such as PLoS ONE, Frontiers in Pharmacology and Scientometrics.

In The Last Decade

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

Fields of papers citing papers by Erjia Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Erjia Yan

Since Specialization
Citations

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