Hai Lan
About
Hai Lan is a scholar working on Global and Planetary Change, Ecology and Modeling and Simulation.
According to data from OpenAlex, Hai Lan has authored 29 papers receiving a total of 560 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Global and Planetary Change, 6 papers in Ecology and 6 papers in Modeling and Simulation. Recurrent topics in Hai Lan’s work include Land Use and Ecosystem Services (8 papers), COVID-19 epidemiological studies (6 papers) and Remote Sensing in Agriculture (6 papers). Hai Lan is often cited by papers focused on Land Use and Ecosystem Services (8 papers), COVID-19 epidemiological studies (6 papers) and Remote Sensing in Agriculture (6 papers). Hai Lan collaborates with scholars based in United States, China and United Kingdom. Hai Lan's co-authors include Chaowei Yang, Dexuan Sha, Yichun Xie and Zongyao Sha and has published in prestigious journals such as PLoS ONE, The Science of The Total Environment and IEEE Access.
In The Last Decade
Fields of papers citing papers by Hai Lan
Since SpecializationEngineeringComputer 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 Hai Lan. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Hai Lan may publish in the future.
Countries citing papers authored by Hai Lan
Since SpecializationCitations
This map shows the geographic impact of Hai Lan'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 Hai Lan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hai Lan more than expected).
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