Xiangru Tang

About

Xiangru Tang is a scholar working on Artificial Intelligence, Molecular Biology and Materials Chemistry. According to data from OpenAlex, Xiangru Tang has authored 11 papers receiving a total of 152 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 4 papers in Molecular Biology and 2 papers in Materials Chemistry. Recurrent topics in Xiangru Tang’s work include Topic Modeling (5 papers), Natural Language Processing Techniques (5 papers) and Protein Structure and Dynamics (3 papers). Xiangru Tang is often cited by papers focused on Topic Modeling (5 papers), Natural Language Processing Techniques (5 papers) and Protein Structure and Dynamics (3 papers). Xiangru Tang collaborates with scholars based in United States, China and United Kingdom. Xiangru Tang's co-authors include Dragomir Radev, Yashar Mehdad, Jeffrey Too Chuan Tan, Aslı Çelikyılmaz and Haoran Li and has published in prestigious journals such as Nature Biotechnology, Bioinformatics and Briefings in Bioinformatics.

In The Last Decade

Fields of papers citing papers by Xiangru 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 Xiangru Tang. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Xiangru Tang may publish in the future.

Countries citing papers authored by Xiangru Tang

Since Specialization

Citations

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

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