Kelong Mao
About
Kelong Mao is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology.
According to data from OpenAlex, Kelong Mao has authored 12 papers receiving a total of 95 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 1 paper in Molecular Biology. Recurrent topics in Kelong Mao’s work include Topic Modeling (8 papers), Natural Language Processing Techniques (4 papers) and Multimodal Machine Learning Applications (4 papers). Kelong Mao is often cited by papers focused on Topic Modeling (8 papers), Natural Language Processing Techniques (4 papers) and Multimodal Machine Learning Applications (4 papers). Kelong Mao collaborates with scholars based in China, Canada and United States. Kelong Mao's co-authors include Zhicheng Dou, Zhao Cao, Xi Xiao, Jian‐Yun Nie and Junzhou Huang and has published in prestigious journals such as Neurocomputing.
In The Last Decade
Fields of papers citing papers by Kelong Mao
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 Kelong Mao. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Kelong Mao may publish in the future.
Countries citing papers authored by Kelong Mao
Since SpecializationCitations
This map shows the geographic impact of Kelong Mao'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 Kelong Mao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kelong Mao more than expected).
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