Shuda Li
About
Shuda Li is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Geology.
According to data from OpenAlex, Shuda Li has authored 6 papers receiving a total of 150 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 4 papers in Aerospace Engineering and 3 papers in Geology. Recurrent topics in Shuda Li’s work include Robotics and Sensor-Based Localization (4 papers), 3D Surveying and Cultural Heritage (3 papers) and Advanced Vision and Imaging (2 papers). Shuda Li is often cited by papers focused on Robotics and Sensor-Based Localization (4 papers), 3D Surveying and Cultural Heritage (3 papers) and Advanced Vision and Imaging (2 papers). Shuda Li collaborates with scholars based in United Kingdom. Shuda Li's co-authors include Andrew Calway, Victor Adrian Prisacariu, Yang Zhang, Xinghui Li and Zirui Wang and has published in prestigious journals such as and .
In The Last Decade
Fields of papers citing papers by Shuda Li
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 Shuda Li. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Shuda Li may publish in the future.
Countries citing papers authored by Shuda Li
Since SpecializationCitations
This map shows the geographic impact of Shuda Li'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 Shuda Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shuda Li more than expected).
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