Songlin Liu

About

Songlin Liu is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Songlin Liu has authored 50 papers receiving a total of 342 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 11 papers in Aerospace Engineering and 9 papers in Electrical and Electronic Engineering. Recurrent topics in Songlin Liu’s work include Materials Challenges in Fusion Energy Research (8 papers), Remote-Sensing Image Classification (7 papers) and Advanced Measurement and Detection Methods (5 papers). Songlin Liu is often cited by papers focused on Materials Challenges in Fusion Energy Research (8 papers), Remote-Sensing Image Classification (7 papers) and Advanced Measurement and Detection Methods (5 papers). Songlin Liu collaborates with scholars based in China, Singapore and United States. Songlin Liu's co-authors include Yinghui Gao, Zengping Chen, Xiaoping Huang, Yao Qin and Zhijian Jiang and has published in prestigious journals such as The Science of The Total Environment, Expert Systems with Applications and International Journal of Environmental Research and Public Health.

In The Last Decade

Fields of papers citing papers by Songlin Liu

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

Countries citing papers authored by Songlin Liu

Since Specialization

Citations

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

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