Lian Song

19 papers and 461 indexed citations i.

About

Lian Song is a scholar working on Plant Science, Global and Planetary Change and Ecology. According to data from OpenAlex, Lian Song has authored 19 papers receiving a total of 461 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Plant Science, 9 papers in Global and Planetary Change and 5 papers in Ecology. Recurrent topics in Lian Song’s work include Plant responses to elevated CO2 (9 papers), Plant Water Relations and Carbon Dynamics (6 papers) and Remote Sensing in Agriculture (5 papers). Lian Song is often cited by papers focused on Plant responses to elevated CO2 (9 papers), Plant Water Relations and Carbon Dynamics (6 papers) and Remote Sensing in Agriculture (5 papers). Lian Song collaborates with scholars based in China, United States and United Kingdom. Lian Song's co-authors include Yongguang Zhang, Chuang Cai, Weimin Ju, Chunwu Zhu and Xiong Yang and has published in prestigious journals such as The Science of The Total Environment, Remote Sensing of Environment and Journal of Hazardous Materials.

In The Last Decade

Fields of papers citing papers by Lian 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 Lian Song. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Lian Song may publish in the future.

Countries citing papers authored by Lian Song

Since Specialization
Citations

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

Rankless by CCL
2025