Song Leng

About

Song Leng is a scholar working on Global and Planetary Change, Ecology and Environmental Engineering. According to data from OpenAlex, Song Leng has authored 17 papers receiving a total of 462 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Global and Planetary Change, 10 papers in Ecology and 5 papers in Environmental Engineering. Recurrent topics in Song Leng’s work include Remote Sensing in Agriculture (9 papers), Climate variability and models (8 papers) and Plant Water Relations and Carbon Dynamics (6 papers). Song Leng is often cited by papers focused on Remote Sensing in Agriculture (9 papers), Climate variability and models (8 papers) and Plant Water Relations and Carbon Dynamics (6 papers). Song Leng collaborates with scholars based in China, Australia and United States. Song Leng's co-authors include Qianfeng Wang, Jingyu Zeng, Rongrong Zhang, Alfredo Huete and James Cleverly and has published in prestigious journals such as The Science of The Total Environment, Remote Sensing of Environment and Environment International.

In The Last Decade

Fields of papers citing papers by Song Leng

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

Countries citing papers authored by Song Leng

Since Specialization

Citations

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

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