Kun Shan University

3.1k papers and 56.7k indexed citations

About

In recent decades, authors affiliated with Kun Shan University have published 3.1k papers, which have received a total of 56.7k indexed citations. Scholars at this organization have produced 1.0k papers in Electrical and Electronic Engineering, 586 papers in Materials Chemistry and 424 papers in Biomedical Engineering on the topics of ZnO doping and properties (164 papers), GaN-based semiconductor devices and materials (125 papers) and Gas Sensing Nanomaterials and Sensors (100 papers). Their work is cited by papers focused on Electrical and Electronic Engineering (15.9k citations), Materials Chemistry (12.3k citations) and Mechanical Engineering (10.6k citations). Authors at Kun Shan University collaborate with scholars in Taiwan, China and United States and have published in prestigious journals including Nature Communications, The Journal of Chemical Physics and The Journal of Experimental Medicine. Some of Kun Shan University's most productive authors include Atul Sharma, C.R. Chen, Win-Jin Chang, D. Buddhi, V.V. Tyagi, Chao‐Ming Huang, Haw-Long Lee, Shuhn-Shyurng Hou, Yeong‐Chan Chang and Te‐Hua Fang.

In The Last Decade

Kun Shan University

2.9k papers receiving 56.4k citations

Countries citing scholars working at Kun Shan University

Since Specialization
Citations

This map shows the geographic impact of research produced by authors working at Kun Shan University. 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 papers produced at Kun Shan University with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kun Shan University more than expected).

Fields of papers published by authors at Kun Shan University

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Kun Shan University at the time of their publication. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers affiliated with Kun Shan University at the time of their publication.

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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2026