Ming Xian

About

Ming Xian is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Ming Xian has authored 42 papers receiving a total of 475 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Artificial Intelligence, 21 papers in Information Systems and 10 papers in Computer Networks and Communications. Recurrent topics in Ming Xian’s work include Cryptography and Data Security (25 papers), Privacy-Preserving Technologies in Data (19 papers) and Cloud Data Security Solutions (10 papers). Ming Xian is often cited by papers focused on Cryptography and Data Security (25 papers), Privacy-Preserving Technologies in Data (19 papers) and Cloud Data Security Solutions (10 papers). Ming Xian collaborates with scholars based in China, Australia and Canada. Ming Xian's co-authors include Huimei Wang, Hong Rong and Jialu Hao and has published in prestigious journals such as IEEE Transactions on Information Theory, IEEE Access and IEEE Transactions on Knowledge and Data Engineering.

In The Last Decade

Fields of papers citing papers by Ming Xian

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

Countries citing papers authored by Ming Xian

Since Specialization

Citations

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

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