Dandan Song

About

Dandan Song is a scholar working on Artificial Intelligence, Information Systems and Molecular Biology. According to data from OpenAlex, Dandan Song has authored 54 papers receiving a total of 655 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Artificial Intelligence, 11 papers in Information Systems and 10 papers in Molecular Biology. Recurrent topics in Dandan Song’s work include Topic Modeling (17 papers), Text and Document Classification Technologies (8 papers) and Advanced Graph Neural Networks (7 papers). Dandan Song is often cited by papers focused on Topic Modeling (17 papers), Text and Document Classification Technologies (8 papers) and Advanced Graph Neural Networks (7 papers). Dandan Song collaborates with scholars based in China, United States and Singapore. Dandan Song's co-authors include Lejian Liao, Peng Ouyang, Shouyi Yin, Jingang Wang and Shaojun Wei and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and NeuroImage.

In The Last Decade

Fields of papers citing papers by Dandan Song

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

Countries citing papers authored by Dandan Song

Since Specialization

Citations

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

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