Kejia Yang

11 papers and 747 indexed citations i.

About

Kejia Yang is a scholar working on Polymers and Plastics, Organic Chemistry and Biomedical Engineering. According to data from OpenAlex, Kejia Yang has authored 11 papers receiving a total of 747 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Polymers and Plastics, 4 papers in Organic Chemistry and 3 papers in Biomedical Engineering. Recurrent topics in Kejia Yang’s work include Polymer Science and PVC (3 papers), Additive Manufacturing and 3D Printing Technologies (2 papers) and Self-Healing Polymer Materials (2 papers). Kejia Yang is often cited by papers focused on Polymer Science and PVC (3 papers), Additive Manufacturing and 3D Printing Technologies (2 papers) and Self-Healing Polymer Materials (2 papers). Kejia Yang collaborates with scholars based in United States, China and Japan. Kejia Yang's co-authors include Walter Voit, Matthew Di Prima, Benjamin Lund, Tomohiro Murakawa, Masaki Sekino, Tomoyuki Yokota, Martin Kaltenbrunner, Taylor H. Ware, Kunihiko Mabuchi and Yusuke Inoue and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Advanced Functional Materials and Molecular and Cellular Biology.

In The Last Decade

Co-authorship network of co-authors of Kejia Yang i

Fields of papers citing papers by Kejia Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Kejia Yang

Since Specialization
Citations

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