Lei Duan

74 papers and 677 indexed citations i.

About

Lei Duan is a scholar working on Artificial Intelligence, Molecular Biology and Materials Chemistry. According to data from OpenAlex, Lei Duan has authored 74 papers receiving a total of 677 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Artificial Intelligence, 21 papers in Molecular Biology and 10 papers in Materials Chemistry. Recurrent topics in Lei Duan’s work include Bioinformatics and Genomic Networks (10 papers), Machine Learning in Bioinformatics (8 papers) and Computational Drug Discovery Methods (7 papers). Lei Duan is often cited by papers focused on Bioinformatics and Genomic Networks (10 papers), Machine Learning in Bioinformatics (8 papers) and Computational Drug Discovery Methods (7 papers). Lei Duan collaborates with scholars based in China, United States and Australia. Lei Duan's co-authors include Ning Gu, Fang Yang, Juan Jin, Ke Hu, Qinxin Wang, Dong Liu, Yang Li, Dennis K. P. Ng, Pui‐Chi Lo and Changjie Tang and has published in prestigious journals such as PLoS ONE, Scientific Reports and ACS Applied Materials & Interfaces.

In The Last Decade

Co-authorship network of co-authors of Lei Duan i

Fields of papers citing papers by Lei Duan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Lei Duan

Since Specialization
Citations

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