Jun Tang
About
Jun Tang is a scholar working on Ocean Engineering, Mechanics of Materials and Environmental Chemistry.
According to data from OpenAlex, Jun Tang has authored 44 papers receiving a total of 624 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Ocean Engineering, 25 papers in Mechanics of Materials and 9 papers in Environmental Chemistry. Recurrent topics in Jun Tang’s work include Coal Properties and Utilization (27 papers), Rock Mechanics and Modeling (16 papers) and Hydrocarbon exploration and reservoir analysis (12 papers). Jun Tang is often cited by papers focused on Coal Properties and Utilization (27 papers), Rock Mechanics and Modeling (16 papers) and Hydrocarbon exploration and reservoir analysis (12 papers). Jun Tang collaborates with scholars based in China, United States and Saudi Arabia. Jun Tang's co-authors include Cheng‐Lin Jiang, Dingding Yang, Xiaowei Li and Shixiang Tian and has published in prestigious journals such as PLoS ONE, Water Research and Fuel.
In The Last Decade
Fields of papers citing papers by Jun Tang
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 Jun Tang. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Jun Tang may publish in the future.
Countries citing papers authored by Jun Tang
Since SpecializationCitations
This map shows the geographic impact of Jun Tang'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 Jun Tang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Tang more than expected).
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