Ling Pei

About

Ling Pei is a scholar working on Aerospace Engineering, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Ling Pei has authored 94 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Aerospace Engineering, 43 papers in Electrical and Electronic Engineering and 32 papers in Computer Vision and Pattern Recognition. Recurrent topics in Ling Pei’s work include Indoor and Outdoor Localization Technologies (38 papers), Robotics and Sensor-Based Localization (22 papers) and GNSS positioning and interference (15 papers). Ling Pei is often cited by papers focused on Indoor and Outdoor Localization Technologies (38 papers), Robotics and Sensor-Based Localization (22 papers) and GNSS positioning and interference (15 papers). Ling Pei collaborates with scholars based in China, Finland and Canada. Ling Pei's co-authors include Ruizhi Chen, Wenxian Yu, Yuwei Chen, Heidi Kuusniemi, Jingbin Liu, Danping Zou, Peilin Liu, Robert Guinness, Rendong Ying and Liang Chen and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Water Resources Research and IEEE Transactions on Industrial Electronics.

In The Last Decade

Co-authorship network of co-authors of Ling Pei i

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Fields of papers citing papers by Ling Pei

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

Countries citing papers authored by Ling Pei

Since Specialization

Citations

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

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