Yun Q. Shi
About
Yun Q. Shi is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence.
According to data from OpenAlex, Yun Q. Shi has authored 73 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Computer Vision and Pattern Recognition, 14 papers in Signal Processing and 8 papers in Artificial Intelligence. Recurrent topics in Yun Q. Shi’s work include Advanced Steganography and Watermarking Techniques (45 papers), Digital Media Forensic Detection (38 papers) and Chaos-based Image/Signal Encryption (26 papers). Yun Q. Shi is often cited by papers focused on Advanced Steganography and Watermarking Techniques (45 papers), Digital Media Forensic Detection (38 papers) and Chaos-based Image/Signal Encryption (26 papers). Yun Q. Shi collaborates with scholars based in United States, China and South Korea. Yun Q. Shi's co-authors include Jeho Nam, Vasily Sachnev, Wei Su, Suresh Sundaram, Jiwu Huang, Chunhua Chen, Jiangqun Ni, Bin Ma, Linjie Guo and Dongdong Fu and has published in prestigious journals such as Journal of Catalysis, IEEE Transactions on Image Processing and Journal of Affective Disorders.
In The Last Decade
Co-authorship network of co-authors of Yun Q. Shi i
Fields of papers citing papers by Yun Q. Shi
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 Yun Q. Shi. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Yun Q. Shi may publish in the future.
Countries citing papers authored by Yun Q. Shi
Since SpecializationCitations
This map shows the geographic impact of Yun Q. Shi'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 Yun Q. Shi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yun Q. Shi more than expected).
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