Kexin Huang

35 papers and 1.3k indexed citations i.

About

Kexin Huang is a scholar working on Molecular Biology, Artificial Intelligence and Computational Theory and Mathematics. According to data from OpenAlex, Kexin Huang has authored 35 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 10 papers in Artificial Intelligence and 10 papers in Computational Theory and Mathematics. Recurrent topics in Kexin Huang’s work include Computational Drug Discovery Methods (10 papers), Bioinformatics and Genomic Networks (6 papers) and Machine Learning in Materials Science (4 papers). Kexin Huang is often cited by papers focused on Computational Drug Discovery Methods (10 papers), Bioinformatics and Genomic Networks (6 papers) and Machine Learning in Materials Science (4 papers). Kexin Huang collaborates with scholars based in United States, China and Hong Kong. Kexin Huang's co-authors include Cao Xiao, Jimeng Sun, Lucas M. Glass, Marinka Žitnik, Tianfan Fu, Payal Chandak, Michelle M. Li, Jure Leskovec, Yusuf Roohani and Yue Yu and has published in prestigious journals such as Nature Medicine, Nature Biotechnology and Bioinformatics.

In The Last Decade

Co-authorship network of co-authors of Kexin Huang i

Fields of papers citing papers by Kexin Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Kexin Huang

Since Specialization
Citations

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