Daniel Liu

14 papers and 146 indexed citations i.

About

Daniel Liu is a scholar working on Artificial Intelligence, Molecular Biology and Electrical and Electronic Engineering. According to data from OpenAlex, Daniel Liu has authored 14 papers receiving a total of 146 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 5 papers in Molecular Biology and 3 papers in Electrical and Electronic Engineering. Recurrent topics in Daniel Liu’s work include Algorithms and Data Compression (3 papers), Genomics and Phylogenetic Studies (3 papers) and Data Quality and Management (2 papers). Daniel Liu is often cited by papers focused on Algorithms and Data Compression (3 papers), Genomics and Phylogenetic Studies (3 papers) and Data Quality and Management (2 papers). Daniel Liu collaborates with scholars based in United States, Italy and South Korea. Daniel Liu's co-authors include Ronald Yu, Hao Su, Ana J. Coito, Hiroyuki Kato, Sergio Duarte, Ronald W. Busuttil, Michael P. Fitz, Martin Steinegger, Immanuel Trummer and Hao Su and has published in prestigious journals such as Bioinformatics, PLoS ONE and PeerJ.

In The Last Decade

Co-authorship network of co-authors of Daniel Liu i

Fields of papers citing papers by Daniel Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Daniel Liu

Since Specialization
Citations

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