Dian Gong

About

Dian Gong is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Biophysics. According to data from OpenAlex, Dian Gong has authored 7 papers receiving a total of 143 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 2 papers in Artificial Intelligence and 1 paper in Biophysics. Recurrent topics in Dian Gong’s work include Medical Image Segmentation Techniques (3 papers), Human Pose and Action Recognition (2 papers) and Anomaly Detection Techniques and Applications (2 papers). Dian Gong is often cited by papers focused on Medical Image Segmentation Techniques (3 papers), Human Pose and Action Recognition (2 papers) and Anomaly Detection Techniques and Applications (2 papers). Dian Gong collaborates with scholars based in United States and China. Dian Gong's co-authors include Gérard Medioni, Fei Sha, Xuemei Zhao and Jianhua Lü and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Fields of papers citing papers by Dian Gong

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 Dian Gong. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Dian Gong may publish in the future.

Countries citing papers authored by Dian Gong

Since Specialization

Citations

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

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