Ge-Peng Ji

About

Ge-Peng Ji is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Ge-Peng Ji has authored 23 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computer Vision and Pattern Recognition, 5 papers in Artificial Intelligence and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Ge-Peng Ji’s work include Visual Attention and Saliency Detection (16 papers), Advanced Image and Video Retrieval Techniques (11 papers) and Image Enhancement Techniques (6 papers). Ge-Peng Ji is often cited by papers focused on Visual Attention and Saliency Detection (16 papers), Advanced Image and Video Retrieval Techniques (11 papers) and Image Enhancement Techniques (6 papers). Ge-Peng Ji collaborates with scholars based in China, United Arab Emirates and Switzerland. Ge-Peng Ji's co-authors include Deng-Ping Fan, Ling Shao, Ming‐Ming Cheng, Jianbing Shen, Keren Fu, Geng Chen, Huazhu Fu, Qijun Zhao, Tao Zhou and Yi Zhou and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Medical Imaging and Pattern Recognition.

In The Last Decade

Co-authorship network of co-authors of Ge-Peng Ji i

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Fields of papers citing papers by Ge-Peng Ji

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

Countries citing papers authored by Ge-Peng Ji

Since Specialization

Citations

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

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