Le‐Le Hu

44 papers and 1.6k indexed citations i.

About

Le‐Le Hu is a scholar working on Molecular Biology, Computational Theory and Mathematics and Civil and Structural Engineering. According to data from OpenAlex, Le‐Le Hu has authored 44 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Molecular Biology, 10 papers in Computational Theory and Mathematics and 3 papers in Civil and Structural Engineering. Recurrent topics in Le‐Le Hu’s work include Machine Learning in Bioinformatics (28 papers), Computational Drug Discovery Methods (10 papers) and Bioinformatics and Genomic Networks (8 papers). Le‐Le Hu is often cited by papers focused on Machine Learning in Bioinformatics (28 papers), Computational Drug Discovery Methods (10 papers) and Bioinformatics and Genomic Networks (8 papers). Le‐Le Hu collaborates with scholars based in China, United States and Germany. Le‐Le Hu's co-authors include Yu‐Dong Cai, Tao Huang, Xiaohe Shi, Kuo‐Chen Chou, Kuo‐Chen Chou, Kaiyan Feng, Xiangyin Kong, Yixue Li, Zhisong He and Jian Zhang and has published in prestigious journals such as PLoS ONE, Biochemical and Biophysical Research Communications and Biopolymers.

In The Last Decade

Co-authorship network of co-authors of Le‐Le Hu i

Fields of papers citing papers by Le‐Le Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Le‐Le Hu. 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 Le‐Le Hu. The network helps show where Le‐Le Hu may publish in the future.

Countries citing papers authored by Le‐Le Hu

Since Specialization
Citations

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