Jin‐Song Pei

49 papers and 530 indexed citations i.

About

Jin‐Song Pei is a scholar working on Civil and Structural Engineering, Control and Systems Engineering and Statistical and Nonlinear Physics. According to data from OpenAlex, Jin‐Song Pei has authored 49 papers receiving a total of 530 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Civil and Structural Engineering, 16 papers in Control and Systems Engineering and 16 papers in Statistical and Nonlinear Physics. Recurrent topics in Jin‐Song Pei’s work include Structural Health Monitoring Techniques (20 papers), Model Reduction and Neural Networks (15 papers) and Neural Networks and Applications (9 papers). Jin‐Song Pei is often cited by papers focused on Structural Health Monitoring Techniques (20 papers), Model Reduction and Neural Networks (15 papers) and Neural Networks and Applications (9 papers). Jin‐Song Pei collaborates with scholars based in United States, France and Singapore. Jin‐Song Pei's co-authors include Andrew W. Smyth, Joseph P. Wright, Sami F. Masri, Tat‐Seng Lok, Elias B. Kosmatopoulos, Michael D. Todd, François Gay‐Balmaz, Biagio Carboni, Walter Lacarbonara and David Wagg and has published in prestigious journals such as Applied Physics Letters, Computer Methods in Applied Mechanics and Engineering and Journal of Applied Mechanics.

In The Last Decade

Co-authorship network of co-authors of Jin‐Song Pei i

Fields of papers citing papers by Jin‐Song Pei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jin‐Song Pei. 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 Jin‐Song Pei. The network helps show where Jin‐Song Pei may publish in the future.

Countries citing papers authored by Jin‐Song Pei

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025