Di Feng

About

Di Feng is a scholar working on Computer Vision and Pattern Recognition, Automotive Engineering and Biomedical Engineering. According to data from OpenAlex, Di Feng has authored 13 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 7 papers in Automotive Engineering and 4 papers in Biomedical Engineering. Recurrent topics in Di Feng’s work include Advanced Neural Network Applications (8 papers), Autonomous Vehicle Technology and Safety (7 papers) and Advanced Sensor and Energy Harvesting Materials (4 papers). Di Feng is often cited by papers focused on Advanced Neural Network Applications (8 papers), Autonomous Vehicle Technology and Safety (7 papers) and Advanced Sensor and Energy Harvesting Materials (4 papers). Di Feng collaborates with scholars based in Germany, United States and Canada. Di Feng's co-authors include Klaus Dietmayer, Lars Rosenbaum, Fabian Timm, Claudius Gläser, Heinz Hertlein, W. Wiesbeck, Christian Schütz, Gordon Cheng, Mohsen Kaboli and Ali Harakeh and has published in prestigious journals such as Sensors, IEEE Transactions on Intelligent Transportation Systems and Autonomous Robots.

In The Last Decade

Co-authorship network of co-authors of Di Feng i

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Fields of papers citing papers by Di Feng

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

Countries citing papers authored by Di Feng

Since Specialization

Citations

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

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