T. Chang
About
T. Chang is a scholar working on Computer Vision and Pattern Recognition, Analytical Chemistry and Artificial Intelligence.
According to data from OpenAlex, T. Chang has authored 4 papers receiving a total of 720 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Vision and Pattern Recognition, 3 papers in Analytical Chemistry and 1 paper in Artificial Intelligence. Recurrent topics in T. Chang’s work include Medical Image Segmentation Techniques (3 papers), Spectroscopy and Chemometric Analyses (3 papers) and Image Retrieval and Classification Techniques (2 papers). T. Chang is often cited by papers focused on Medical Image Segmentation Techniques (3 papers), Spectroscopy and Chemometric Analyses (3 papers) and Image Retrieval and Classification Techniques (2 papers). T. Chang collaborates with scholars based in United States. T. Chang's co-authors include C.‐C. Jay Kuo and has published in prestigious journals such as IEEE Transactions on Image Processing.
In The Last Decade
Fields of papers citing papers by T. 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 T. Chang. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where T. Chang may publish in the future.
Countries citing papers authored by T. Chang
Since SpecializationCitations
This map shows the geographic impact of T. 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 T. Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Chang more than expected).
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