Hang Chang
About
Hang Chang is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition and Artificial Intelligence.
According to data from OpenAlex, Hang Chang has authored 87 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Molecular Biology, 27 papers in Computer Vision and Pattern Recognition and 26 papers in Artificial Intelligence. Recurrent topics in Hang Chang’s work include AI in cancer detection (24 papers), Cell Image Analysis Techniques (23 papers) and Medical Image Segmentation Techniques (13 papers). Hang Chang is often cited by papers focused on AI in cancer detection (24 papers), Cell Image Analysis Techniques (23 papers) and Medical Image Segmentation Techniques (13 papers). Hang Chang collaborates with scholars based in United States, China and Australia. Hang Chang's co-authors include Bahram Parvin, Ju Han, Jian‐Hua Mao, Paul T. Spellman and Antoine M. Snijders and has published in prestigious journals such as Bioinformatics, PLoS ONE and IEEE Transactions on Pattern Analysis and Machine Intelligence.
In The Last Decade
Fields of papers citing papers by Hang 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 Hang Chang. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Hang Chang may publish in the future.
Countries citing papers authored by Hang Chang
Since SpecializationCitations
This map shows the geographic impact of Hang 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 Hang Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hang Chang more than expected).
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