Jun Tian
About
Jun Tian is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Control and Systems Engineering.
According to data from OpenAlex, Jun Tian has authored 23 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computer Vision and Pattern Recognition, 4 papers in Computational Mechanics and 4 papers in Control and Systems Engineering. Recurrent topics in Jun Tian’s work include Advanced Data Compression Techniques (8 papers), Image and Signal Denoising Methods (7 papers) and Advanced Steganography and Watermarking Techniques (6 papers). Jun Tian is often cited by papers focused on Advanced Data Compression Techniques (8 papers), Image and Signal Denoising Methods (7 papers) and Advanced Steganography and Watermarking Techniques (6 papers). Jun Tian collaborates with scholars based in United States, China and Cambodia. Jun Tian's co-authors include Raymond O. Wells, Wang Qia, Wenjun Zeng, Yueqi Zhong, Wei Dong, C.S. Burrus, Zhangqun Ye, Xue Wu, Howard L. Resnikoff and Huiping Zhang and has published in prestigious journals such as IEEE Transactions on Image Processing, Frontiers in Immunology and Expert Systems with Applications.
In The Last Decade
Co-authorship network of co-authors of Jun Tian i
Fields of papers citing papers by Jun Tian
Since SpecializationEngineeringComputer 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 Jun Tian. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Jun Tian may publish in the future.
Countries citing papers authored by Jun Tian
Since SpecializationCitations
This map shows the geographic impact of Jun Tian'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 Jun Tian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Tian more than expected).
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