Sarah Tang
About
Sarah Tang is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Artificial Intelligence.
According to data from OpenAlex, Sarah Tang has authored 6 papers receiving a total of 176 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 2 papers in Aerospace Engineering and 2 papers in Artificial Intelligence. Recurrent topics in Sarah Tang’s work include Robotic Path Planning Algorithms (5 papers), Robotics and Sensor-Based Localization (2 papers) and Image Retrieval and Classification Techniques (1 paper). Sarah Tang is often cited by papers focused on Robotic Path Planning Algorithms (5 papers), Robotics and Sensor-Based Localization (2 papers) and Image Retrieval and Classification Techniques (1 paper). Sarah Tang collaborates with scholars based in United States, Switzerland and Brazil. Sarah Tang's co-authors include Vijay Kumar, Justin Thomas, Afzal Godil, Balajee Kannan, William Whittaker, Shreyansh Daftry, Tiago Pimentel, Shuo Li, Alejandro Ribeiro and Osbert Bastani and has published in prestigious journals such as The International Journal of Robotics Research, IEEE Robotics and Automation Letters and 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
In The Last Decade
Co-authorship network of co-authors of Sarah Tang i
Fields of papers citing papers by Sarah Tang
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 Sarah Tang. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Sarah Tang may publish in the future.
Countries citing papers authored by Sarah Tang
Since SpecializationCitations
This map shows the geographic impact of Sarah Tang'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 Sarah Tang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sarah Tang more than expected).
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