Xiaoli Li
About
Xiaoli Li is a scholar working on Molecular Biology, Artificial Intelligence and Computer Vision and Pattern Recognition.
According to data from OpenAlex, Xiaoli Li has authored 376 papers receiving a total of 9.2k indexed citations (citations by other indexed papers that have themselves been cited), including 131 papers in Molecular Biology, 116 papers in Artificial Intelligence and 53 papers in Computer Vision and Pattern Recognition. Recurrent topics in Xiaoli Li’s work include Bioinformatics and Genomic Networks (45 papers), Topic Modeling (34 papers) and Computational Drug Discovery Methods (31 papers). Xiaoli Li is often cited by papers focused on Bioinformatics and Genomic Networks (45 papers), Topic Modeling (34 papers) and Computational Drug Discovery Methods (31 papers). Xiaoli Li collaborates with scholars based in China, Singapore and United States. Xiaoli Li's co-authors include Min Wu, Zhenghua Chen, Chee Keong Kwoh, See-Kiong Ng and Mohamed Ragab and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and PLoS ONE.
In The Last Decade
Fields of papers citing papers by Xiaoli Li
Since SpecializationEngineeringComputer 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 Xiaoli Li. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Xiaoli Li may publish in the future.
Countries citing papers authored by Xiaoli Li
Since SpecializationCitations
This map shows the geographic impact of Xiaoli Li'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 Xiaoli Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoli Li more than expected).
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