Ming-Fang Chang

About

Ming-Fang Chang is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Occupational Therapy. According to data from OpenAlex, Ming-Fang Chang has authored 6 papers receiving a total of 688 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Computer Vision and Pattern Recognition, 2 papers in Aerospace Engineering and 2 papers in Occupational Therapy. Recurrent topics in Ming-Fang Chang’s work include Advanced Neural Network Applications (2 papers), Advanced Vision and Imaging (2 papers) and Robotics and Sensor-Based Localization (2 papers). Ming-Fang Chang is often cited by papers focused on Advanced Neural Network Applications (2 papers), Advanced Vision and Imaging (2 papers) and Robotics and Sensor-Based Localization (2 papers). Ming-Fang Chang collaborates with scholars based in Taiwan, United States and Australia. Ming-Fang Chang's co-authors include Simon Lucey, Li‐Chen Fu, Deva Ramanan, Wei Dong and Jagjeet Singh and has published in prestigious journals such as Journal of Integrated Care.

In The Last Decade

Fields of papers citing papers by Ming-Fang Chang

Since Specialization

EngineeringComputer 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 Ming-Fang Chang. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Ming-Fang Chang may publish in the future.

Countries citing papers authored by Ming-Fang Chang

Since Specialization

Citations

This map shows the geographic impact of Ming-Fang 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 Ming-Fang Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming-Fang Chang more than expected).

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