Xiaojun Yao

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 81 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Molecular Biology, 17 papers in Computational Theory and Mathematics and 13 papers in Materials Chemistry. Recurrent topics in Xiaojun Yao’s work include Computational Drug Discovery Methods (17 papers), Machine Learning in Materials Science (9 papers) and Protein Structure and Dynamics (8 papers). Xiaojun Yao is often cited by papers focused on Computational Drug Discovery Methods (17 papers), Machine Learning in Materials Science (9 papers) and Protein Structure and Dynamics (8 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, Liang Liu and Qibiao Wu and has published in prestigious journals such as Nature Communications, Environmental Science & Technology and Analytical Chemistry.

In The Last Decade

Fields of papers citing papers by Xiaojun Yao

Since Specialization

EngineeringComputer SciencePhysics and AstronomyMathematicsEarth and Planetary SciencesEnergyEnvironmental ScienceMaterials ScienceChemical EngineeringChemistryAgricultural and Biological SciencesVeterinaryDecision SciencesArts and HumanitiesBusiness, Management and AccountingSocial SciencesPsychologyEconomics, Econometrics and FinanceHealth ProfessionsDentistryMedicineBiochemistry, Genetics and Molecular BiologyNeuroscienceNursingImmunology and MicrobiologyPharmacology, Toxicology and Pharmaceutics

This network shows the specialization of papers citing the papers produced by Xiaojun Yao. Nodes represent fields, and links connect fields that are likely to share authors. 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).

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