Yu Kang

285 papers and 7.9k indexed citations i.

About

Yu Kang is a scholar working on Molecular Biology, Materials Chemistry and Computational Theory and Mathematics. According to data from OpenAlex, Yu Kang has authored 285 papers receiving a total of 7.9k indexed citations (citations by other indexed papers that have themselves been cited), including 122 papers in Molecular Biology, 67 papers in Materials Chemistry and 62 papers in Computational Theory and Mathematics. Recurrent topics in Yu Kang’s work include Computational Drug Discovery Methods (62 papers), Protein Structure and Dynamics (34 papers) and Machine Learning in Materials Science (27 papers). Yu Kang is often cited by papers focused on Computational Drug Discovery Methods (62 papers), Protein Structure and Dynamics (34 papers) and Machine Learning in Materials Science (27 papers). Yu Kang collaborates with scholars based in China, United States and Macao. Yu Kang's co-authors include Woong Kim, Haegeun Chung, Tingjun Hou, Su Zeng, Qi Wang, Tao Wu, Chi-Hwan Han, Dan Li, Zhenbing Chen and Jia‐Wei Shen and has published in prestigious journals such as Science, Journal of the American Chemical Society and Angewandte Chemie International Edition.

In The Last Decade

Co-authorship network of co-authors of Yu Kang i

Fields of papers citing papers by Yu Kang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Yu Kang

Since Specialization
Citations

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