Liang‐Chin Huang

17 papers and 312 indexed citations i.

About

Liang‐Chin Huang is a scholar working on Molecular Biology, Computational Theory and Mathematics and Artificial Intelligence. According to data from OpenAlex, Liang‐Chin Huang has authored 17 papers receiving a total of 312 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 7 papers in Computational Theory and Mathematics and 4 papers in Artificial Intelligence. Recurrent topics in Liang‐Chin Huang’s work include Bioinformatics and Genomic Networks (7 papers), Computational Drug Discovery Methods (7 papers) and Biomedical Text Mining and Ontologies (6 papers). Liang‐Chin Huang is often cited by papers focused on Bioinformatics and Genomic Networks (7 papers), Computational Drug Discovery Methods (7 papers) and Biomedical Text Mining and Ontologies (6 papers). Liang‐Chin Huang collaborates with scholars based in United States, United Kingdom and Switzerland. Liang‐Chin Huang's co-authors include Jake Y. Chen, Xiaogang Wu, Natarajan Kannan, Wayland Yeung, Rahil Taujale, Khaled Rasheed, Sheng Li, Hua Xu, Arthur S. Edison and Kelley W. Moremen and has published in prestigious journals such as Journal of Clinical Oncology, Scientific Reports and BMC Bioinformatics.

In The Last Decade

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

Fields of papers citing papers by Liang‐Chin Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Liang‐Chin Huang

Since Specialization
Citations

This map shows the geographic impact of Liang‐Chin 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‐Chin 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‐Chin 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