Yunyun Liang

28 papers and 309 indexed citations i.

About

Yunyun Liang is a scholar working on Molecular Biology, Computational Theory and Mathematics and Microbiology. According to data from OpenAlex, Yunyun Liang has authored 28 papers receiving a total of 309 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 4 papers in Computational Theory and Mathematics and 4 papers in Microbiology. Recurrent topics in Yunyun Liang’s work include Machine Learning in Bioinformatics (26 papers), RNA and protein synthesis mechanisms (18 papers) and Genomics and Phylogenetic Studies (12 papers). Yunyun Liang is often cited by papers focused on Machine Learning in Bioinformatics (26 papers), RNA and protein synthesis mechanisms (18 papers) and Genomics and Phylogenetic Studies (12 papers). Yunyun Liang collaborates with scholars based in China. Yunyun Liang's co-authors include Shengli Zhang, Sanyang Liu, Yingying Yao, Xiguo Yuan, Xinjie Li, Jie‐Sheng Wang, Jinqian Feng, Shuyan Ding, Jinyue Wang and Feng Zhu and has published in prestigious journals such as Bioinformatics, Analytical Biochemistry and Scientific Reports.

In The Last Decade

Co-authorship network of co-authors of Yunyun Liang i

Fields of papers citing papers by Yunyun Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Yunyun Liang

Since Specialization
Citations

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