Xiaojun Yao

91 papers and 1.6k indexed citations i.

About

Xiaojun Yao is a scholar working on Molecular Biology, Computational Theory and Mathematics and Materials Chemistry. According to data from OpenAlex, Xiaojun Yao has authored 91 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Molecular Biology, 23 papers in Computational Theory and Mathematics and 14 papers in Materials Chemistry. Recurrent topics in Xiaojun Yao’s work include Computational Drug Discovery Methods (23 papers), Machine Learning in Materials Science (10 papers) and Protein Structure and Dynamics (9 papers). Xiaojun Yao is often cited by papers focused on Computational Drug Discovery Methods (23 papers), Machine Learning in Materials Science (10 papers) and Protein Structure and Dynamics (9 papers). Xiaojun Yao collaborates with scholars based in Macao, China and United Kingdom. Xiaojun Yao's co-authors include Elaine Lai‐Han Leung, Xing‐Xing Fan, Zebo Jiang, Qibiao Wu, Liang Liu, Chun Xie, Ying Xie, Liang Liu, Yuwei Wang and Jumin Huang and has published in prestigious journals such as Nature Communications, Environmental Science & Technology and Analytical Chemistry.

In The Last Decade

Co-authorship network of co-authors of Xiaojun Yao i

Fields of papers citing papers by Xiaojun Yao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Xiaojun Yao

Since Specialization
Citations

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