Feng-Ju Chang
About
Feng-Ju Chang is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition.
According to data from OpenAlex, Feng-Ju Chang has authored 22 papers receiving a total of 318 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 8 papers in Signal Processing and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in Feng-Ju Chang’s work include Speech Recognition and Synthesis (11 papers), Speech and Audio Processing (6 papers) and Topic Modeling (6 papers). Feng-Ju Chang is often cited by papers focused on Speech Recognition and Synthesis (11 papers), Speech and Audio Processing (6 papers) and Topic Modeling (6 papers). Feng-Ju Chang collaborates with scholars based in United States, Taiwan and Israel. Feng-Ju Chang's co-authors include Tal Hassner, Ram Nevatia, Iacopo Masi, Anh Tran, Gérard Medioni, Athanasios Mouchtaris, Maurizio Omologo, Yen‐Yu Lin, Ariya Rastrow and Gérard Medioni and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and International Journal of Computer Vision.
In The Last Decade
Co-authorship network of co-authors of Feng-Ju Chang i
Fields of papers citing papers by Feng-Ju 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 Feng-Ju Chang. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Feng-Ju Chang may publish in the future.
Countries citing papers authored by Feng-Ju Chang
Since SpecializationCitations
This map shows the geographic impact of Feng-Ju 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 Feng-Ju Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Feng-Ju Chang more than expected).
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