Liang‐Tsung Huang

16 papers and 335 indexed citations i.

About

Liang‐Tsung Huang is a scholar working on Molecular Biology, Materials Chemistry and Artificial Intelligence. According to data from OpenAlex, Liang‐Tsung Huang has authored 16 papers receiving a total of 335 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 4 papers in Materials Chemistry and 2 papers in Artificial Intelligence. Recurrent topics in Liang‐Tsung Huang’s work include Protein Structure and Dynamics (11 papers), Machine Learning in Bioinformatics (9 papers) and RNA and protein synthesis mechanisms (5 papers). Liang‐Tsung Huang is often cited by papers focused on Protein Structure and Dynamics (11 papers), Machine Learning in Bioinformatics (9 papers) and RNA and protein synthesis mechanisms (5 papers). Liang‐Tsung Huang collaborates with scholars based in Taiwan, Japan and India. Liang‐Tsung Huang's co-authors include M. Michael Gromiha, Shinn‐Ying Ho, Chao‐Chin Wu, Devarajan Karunagaran and Ramasamy Sakthivel and has published in prestigious journals such as Bioinformatics, Journal of Computational Chemistry and Mutation Research/Fundamental and Molecular Mechanisms of Mutagenesis.

In The Last Decade

Co-authorship network of co-authors of Liang‐Tsung Huang i

Fields of papers citing papers by Liang‐Tsung Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Liang‐Tsung Huang

Since Specialization
Citations

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