Haomin Li

118 papers and 1.4k indexed citations i.

About

Haomin Li is a scholar working on Molecular Biology, Epidemiology and Artificial Intelligence. According to data from OpenAlex, Haomin Li has authored 118 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Molecular Biology, 19 papers in Epidemiology and 16 papers in Artificial Intelligence. Recurrent topics in Haomin Li’s work include Biomedical Text Mining and Ontologies (13 papers), Machine Learning in Healthcare (10 papers) and Ubiquitin and proteasome pathways (10 papers). Haomin Li is often cited by papers focused on Biomedical Text Mining and Ontologies (13 papers), Machine Learning in Healthcare (10 papers) and Ubiquitin and proteasome pathways (10 papers). Haomin Li collaborates with scholars based in China, United States and Spain. Haomin Li's co-authors include Huilong Duan, Gongle Shi, Yi Sun, Qiang Shu, Xian Zeng, Weihua Zhou, Jie Xu, Frédéric M.B. Jacques, Mingjia Tan and Wenyi Wei and has published in prestigious journals such as Nature Communications, Molecular Cell and Circulation Research.

In The Last Decade

Co-authorship network of co-authors of Haomin Li i

Fields of papers citing papers by Haomin Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Haomin Li

Since Specialization
Citations

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