Long Lu

113 papers and 3.6k indexed citations i.

About

Long Lu is a scholar working on Molecular Biology, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Long Lu has authored 113 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Molecular Biology, 20 papers in Artificial Intelligence and 18 papers in Signal Processing. Recurrent topics in Long Lu’s work include Advanced Malware Detection Techniques (17 papers), Bioinformatics and Genomic Networks (14 papers) and Security and Verification in Computing (11 papers). Long Lu is often cited by papers focused on Advanced Malware Detection Techniques (17 papers), Bioinformatics and Genomic Networks (14 papers) and Security and Verification in Computing (11 papers). Long Lu collaborates with scholars based in United States, China and Mexico. Long Lu's co-authors include Mark Gerstein, Hui Lü, Yu Xia, Jeffrey Skolnick, Philip M. Kim, W. Sean Davidson, Jingyuan Deng, Scott M. Gordon, Sheng Ren and Amy S. Shah and has published in prestigious journals such as Science, Nucleic Acids Research and Bioinformatics.

In The Last Decade

Co-authorship network of co-authors of Long Lu i

Fields of papers citing papers by Long Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Long Lu

Since Specialization
Citations

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