Jing Lian

About

Jing Lian is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Artificial Intelligence. According to data from OpenAlex, Jing Lian has authored 45 papers receiving a total of 447 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Computer Vision and Pattern Recognition, 15 papers in Media Technology and 10 papers in Artificial Intelligence. Recurrent topics in Jing Lian’s work include Advanced Image Fusion Techniques (13 papers), Image and Signal Denoising Methods (6 papers) and Image Enhancement Techniques (5 papers). Jing Lian is often cited by papers focused on Advanced Image Fusion Techniques (13 papers), Image and Signal Denoising Methods (6 papers) and Image Enhancement Techniques (5 papers). Jing Lian collaborates with scholars based in China, United Kingdom and United States. Jing Lian's co-authors include Yide Ma, Jizhao Liu, Yunliang Qi and Zhen Yang and has published in prestigious journals such as PLoS ONE, Advanced Functional Materials and Food Chemistry.

In The Last Decade

Fields of papers citing papers by Jing Lian

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

Countries citing papers authored by Jing Lian

Since Specialization

Citations

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

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