Dunlu Peng
About
Dunlu Peng is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition.
According to data from OpenAlex, Dunlu Peng has authored 42 papers receiving a total of 295 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Artificial Intelligence, 17 papers in Information Systems and 9 papers in Computer Vision and Pattern Recognition. Recurrent topics in Dunlu Peng’s work include Recommender Systems and Techniques (10 papers), Topic Modeling (10 papers) and Text and Document Classification Technologies (7 papers). Dunlu Peng is often cited by papers focused on Recommender Systems and Techniques (10 papers), Topic Modeling (10 papers) and Text and Document Classification Technologies (7 papers). Dunlu Peng collaborates with scholars based in China and United States. Dunlu Peng's co-authors include Zhan Su, Jun Ai, Qingkui Chen and Jianping Lu and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Neural Networks.
In The Last Decade
Fields of papers citing papers by Dunlu Peng
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 Dunlu Peng. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Dunlu Peng may publish in the future.
Countries citing papers authored by Dunlu Peng
Since SpecializationCitations
This map shows the geographic impact of Dunlu Peng'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 Dunlu Peng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dunlu Peng more than expected).
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