Xiaoli Tang

About

Xiaoli Tang is a scholar working on Radiation, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Xiaoli Tang has authored 23 papers receiving a total of 321 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Radiation, 7 papers in Artificial Intelligence and 6 papers in Molecular Biology. Recurrent topics in Xiaoli Tang’s work include Advanced Radiotherapy Techniques (8 papers), Breast Cancer Treatment Studies (6 papers) and Topic Modeling (5 papers). Xiaoli Tang is often cited by papers focused on Advanced Radiotherapy Techniques (8 papers), Breast Cancer Treatment Studies (6 papers) and Topic Modeling (5 papers). Xiaoli Tang collaborates with scholars based in China, United States and Belgium. Xiaoli Tang's co-authors include Jian Du, Lawrence B. Marks, Timothy M. Zagar, I. Kindts and Wei Lü and has published in prestigious journals such as International Journal of Radiation Oncology*Biology*Physics, Medical Physics and Neural Networks.

In The Last Decade

Fields of papers citing papers by Xiaoli Tang

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 Xiaoli Tang. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Xiaoli Tang may publish in the future.

Countries citing papers authored by Xiaoli Tang

Since Specialization

Citations

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

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