Shuang Song

About

Shuang Song is a scholar working on Environmental Engineering, Geology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Shuang Song has authored 37 papers receiving a total of 707 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Environmental Engineering, 10 papers in Geology and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in Shuang Song’s work include 3D Surveying and Cultural Heritage (10 papers), Remote Sensing and LiDAR Applications (9 papers) and Robotics and Sensor-Based Localization (6 papers). Shuang Song is often cited by papers focused on 3D Surveying and Cultural Heritage (10 papers), Remote Sensing and LiDAR Applications (9 papers) and Robotics and Sensor-Based Localization (6 papers). Shuang Song collaborates with scholars based in United States, China and United Kingdom. Shuang Song's co-authors include Rongjun Qin, Bisheng Yang, Fangli Su, Xiaoguang Wang and Yang Xu and has published in prestigious journals such as PLoS ONE, Journal of Cleaner Production and Sensors.

In The Last Decade

Fields of papers citing papers by Shuang Song

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

Countries citing papers authored by Shuang Song

Since Specialization

Citations

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

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