Kay Song

16 papers and 210 indexed citations i.

About

Kay Song is a scholar working on Materials Chemistry, Mechanical Engineering and Computational Mechanics. According to data from OpenAlex, Kay Song has authored 16 papers receiving a total of 210 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Materials Chemistry, 4 papers in Mechanical Engineering and 4 papers in Computational Mechanics. Recurrent topics in Kay Song’s work include Materials Challenges in Fusion Energy Research (9 papers), Nuclear Materials and Properties (6 papers) and Ion-surface interactions and analysis (4 papers). Kay Song is often cited by papers focused on Materials Challenges in Fusion Energy Research (9 papers), Nuclear Materials and Properties (6 papers) and Ion-surface interactions and analysis (4 papers). Kay Song collaborates with scholars based in United Kingdom, United States and Finland. Kay Song's co-authors include Shimeng Yu, Yi Wu, Lin Yang, H.‐S. Philip Wong, Zizhen Jiang, Felix Hofmann, Cormac Corr, Kenichiro Mizohata, Nicholas Phillips and David E.J. Armstrong and has published in prestigious journals such as Acta Materialia, Corrosion Science and Journal of Applied Crystallography.

In The Last Decade

Co-authorship network of co-authors of Kay Song i

Fields of papers citing papers by Kay Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Kay Song

Since Specialization
Citations

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