Xiaojun Chang
About
Xiaojun Chang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology.
According to data from OpenAlex, Xiaojun Chang has authored 241 papers receiving a total of 9.7k indexed citations (citations by other indexed papers that have themselves been cited), including 165 papers in Computer Vision and Pattern Recognition, 107 papers in Artificial Intelligence and 16 papers in Media Technology. Recurrent topics in Xiaojun Chang’s work include Multimodal Machine Learning Applications (53 papers), Advanced Image and Video Retrieval Techniques (45 papers) and Domain Adaptation and Few-Shot Learning (45 papers). Xiaojun Chang is often cited by papers focused on Multimodal Machine Learning Applications (53 papers), Advanced Image and Video Retrieval Techniques (45 papers) and Domain Adaptation and Few-Shot Learning (45 papers). Xiaojun Chang collaborates with scholars based in Australia, China and United States. Xiaojun Chang's co-authors include Yi Yang, Feiping Nie, Zhihui Li, Chengqi Zhang, Alexander G. Hauptmann, Lina Yao, Zhigang Ma, Po-Yao Huang, Shirui Pan and Minnan Luo and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, PLANT PHYSIOLOGY and Scientific Reports.
In The Last Decade
Co-authorship network of co-authors of Xiaojun Chang i
Fields of papers citing papers by Xiaojun Chang
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 Xiaojun Chang. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Xiaojun Chang may publish in the future.
Countries citing papers authored by Xiaojun Chang
Since SpecializationCitations
This map shows the geographic impact of Xiaojun Chang'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 Xiaojun Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaojun Chang more than expected).
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