Xingyi Cheng
About
Xingyi Cheng is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology.
According to data from OpenAlex, Xingyi Cheng has authored 9 papers receiving a total of 169 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 1 paper in Molecular Biology. Recurrent topics in Xingyi Cheng’s work include Topic Modeling (7 papers), Natural Language Processing Techniques (6 papers) and Multimodal Machine Learning Applications (4 papers). Xingyi Cheng is often cited by papers focused on Topic Modeling (7 papers), Natural Language Processing Techniques (6 papers) and Multimodal Machine Learning Applications (4 papers). Xingyi Cheng collaborates with scholars based in China, United States and United Arab Emirates. Xingyi Cheng's co-authors include Taifeng Wang, Kunlong Chen, Weidi Xu, Wei Chu and Wei Chu and has published in prestigious journals such as Nature Methods.
In The Last Decade
Fields of papers citing papers by Xingyi Cheng
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 Xingyi Cheng. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Xingyi Cheng may publish in the future.
Countries citing papers authored by Xingyi Cheng
Since SpecializationCitations
This map shows the geographic impact of Xingyi Cheng'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 Xingyi Cheng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xingyi Cheng more than expected).
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