Fang Gao
About
Fang Gao is a scholar working on Plant Science, Molecular Biology and Artificial Intelligence.
According to data from OpenAlex, Fang Gao has authored 79 papers receiving a total of 612 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Plant Science, 14 papers in Molecular Biology and 14 papers in Artificial Intelligence. Recurrent topics in Fang Gao’s work include Plant tissue culture and regeneration (10 papers), Laser-Matter Interactions and Applications (9 papers) and Spectroscopy and Quantum Chemical Studies (8 papers). Fang Gao is often cited by papers focused on Plant tissue culture and regeneration (10 papers), Laser-Matter Interactions and Applications (9 papers) and Spectroscopy and Quantum Chemical Studies (8 papers). Fang Gao collaborates with scholars based in China, United States and Russia. Fang Gao's co-authors include Hailong Shen, Linfei Yin, Ling Yang, Dongqing Yang and Yaoxiong Wang and has published in prestigious journals such as The Journal of Chemical Physics, The Science of The Total Environment and Chemical Communications.
In The Last Decade
Fields of papers citing papers by Fang Gao
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 Fang Gao. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Fang Gao may publish in the future.
Countries citing papers authored by Fang Gao
Since SpecializationCitations
This map shows the geographic impact of Fang Gao'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 Fang Gao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fang Gao more than expected).
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