Shengli Song

About

Shengli Song is a scholar working on Artificial Intelligence, Molecular Biology and Control and Systems Engineering. According to data from OpenAlex, Shengli Song has authored 10 papers receiving a total of 241 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 2 papers in Molecular Biology and 2 papers in Control and Systems Engineering. Recurrent topics in Shengli Song’s work include Topic Modeling (5 papers), Natural Language Processing Techniques (4 papers) and Semantic Web and Ontologies (3 papers). Shengli Song is often cited by papers focused on Topic Modeling (5 papers), Natural Language Processing Techniques (4 papers) and Semantic Web and Ontologies (3 papers). Shengli Song collaborates with scholars based in China. Shengli Song's co-authors include Haitao Huang, Jian Yang, Guangneng Hu and Bin Guo and has published in prestigious journals such as IEEE Geoscience and Remote Sensing Letters, Multimedia Tools and Applications and Journal of Parallel and Distributed Computing.

In The Last Decade

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

Countries citing papers authored by Shengli Song

Since Specialization

Citations

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

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