Degen Huang

85 papers and 570 indexed citations i.

About

Degen Huang is a scholar working on Artificial Intelligence, Molecular Biology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Degen Huang has authored 85 papers receiving a total of 570 indexed citations (citations by other indexed papers that have themselves been cited), including 76 papers in Artificial Intelligence, 27 papers in Molecular Biology and 15 papers in Computer Vision and Pattern Recognition. Recurrent topics in Degen Huang’s work include Topic Modeling (53 papers), Natural Language Processing Techniques (48 papers) and Biomedical Text Mining and Ontologies (27 papers). Degen Huang is often cited by papers focused on Topic Modeling (53 papers), Natural Language Processing Techniques (48 papers) and Biomedical Text Mining and Ontologies (27 papers). Degen Huang collaborates with scholars based in China, Japan and United States. Degen Huang's co-authors include Lishuang Li, Li Zou, Huiwei Zhou, Robert H. Deng, Bo Jin, Jia Chen, Wenting Fan, Fuji Ren, Fei Wang and Jinsong Su and has published in prestigious journals such as PLoS ONE, Sensors and IEEE Access.

In The Last Decade

Co-authorship network of co-authors of Degen Huang i

Fields of papers citing papers by Degen Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Degen Huang

Since Specialization
Citations

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