Gao Jun

About

Gao Jun is a scholar working on Automotive Engineering, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Gao Jun has authored 30 papers receiving a total of 207 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Automotive Engineering, 6 papers in Computer Vision and Pattern Recognition and 4 papers in Artificial Intelligence. Recurrent topics in Gao Jun’s work include Autonomous Vehicle Technology and Safety (7 papers), Anomaly Detection Techniques and Applications (4 papers) and Advanced Neural Network Applications (4 papers). Gao Jun is often cited by papers focused on Autonomous Vehicle Technology and Safety (7 papers), Anomaly Detection Techniques and Applications (4 papers) and Advanced Neural Network Applications (4 papers). Gao Jun collaborates with scholars based in China, United States and United Kingdom. Gao Jun's co-authors include Yi Lu Murphey, Dan L. Bader, Michael McGrath, Saeed Zahedi, David Moser, Liudi Jiang, Jinghua Tang, Xuanyang Li, Meng Chen and Man Deng and has published in prestigious journals such as Chemical Engineering Journal, Frontiers in Psychology and Separation and Purification Technology.

In The Last Decade

Co-authorship network of co-authors of Gao Jun i

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Fields of papers citing papers by Gao Jun

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

Countries citing papers authored by Gao Jun

Since Specialization

Citations

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

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