Sheng Jin

About

Sheng Jin is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Artificial Intelligence. According to data from OpenAlex, Sheng Jin has authored 17 papers receiving a total of 306 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 4 papers in Aerospace Engineering and 4 papers in Artificial Intelligence. Recurrent topics in Sheng Jin’s work include Advanced Image and Video Retrieval Techniques (8 papers), Multimodal Machine Learning Applications (4 papers) and Advanced Neural Network Applications (4 papers). Sheng Jin is often cited by papers focused on Advanced Image and Video Retrieval Techniques (8 papers), Multimodal Machine Learning Applications (4 papers) and Advanced Neural Network Applications (4 papers). Sheng Jin collaborates with scholars based in China, United States and Singapore. Sheng Jin's co-authors include Xian‐Sheng Hua, Jiaxing Huang, Shijian Lu, Hongxun Yao, Xiaoshuai Sun, Zhihang Fu, Shangchen Zhou, Xinyu Jin, Chao Chen and Zhihong Chen and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and Journal of the Franklin Institute.

In The Last Decade

Co-authorship network of co-authors of Sheng Jin i

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Fields of papers citing papers by Sheng Jin

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

Countries citing papers authored by Sheng Jin

Since Specialization

Citations

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

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