Sheng Lian

About

Sheng Lian is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence. According to data from OpenAlex, Sheng Lian has authored 19 papers receiving a total of 280 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Vision and Pattern Recognition, 9 papers in Radiology, Nuclear Medicine and Imaging and 5 papers in Artificial Intelligence. Recurrent topics in Sheng Lian’s work include Advanced Neural Network Applications (10 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and COVID-19 diagnosis using AI (4 papers). Sheng Lian is often cited by papers focused on Advanced Neural Network Applications (10 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and COVID-19 diagnosis using AI (4 papers). Sheng Lian collaborates with scholars based in China, United States and Canada. Sheng Lian's co-authors include Zhiming Luo, Shaozi Li, Jun Wang, Erlong Wang and Songzhi Su and has published in prestigious journals such as Aquaculture, eLife and Experimental Biology and Medicine.

In The Last Decade

Fields of papers citing papers by Sheng 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 Sheng Lian. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Sheng Lian may publish in the future.

Countries citing papers authored by Sheng Lian

Since Specialization

Citations

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

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