Min Dai

About

Min Dai is a scholar working on Control and Systems Engineering, Pollution and Molecular Biology. According to data from OpenAlex, Min Dai has authored 48 papers receiving a total of 791 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Control and Systems Engineering, 7 papers in Pollution and 6 papers in Molecular Biology. Recurrent topics in Min Dai’s work include Industrial Technology and Control Systems (4 papers), Heavy metals in environment (3 papers) and Advanced Algorithms and Applications (3 papers). Min Dai is often cited by papers focused on Industrial Technology and Control Systems (4 papers), Heavy metals in environment (3 papers) and Advanced Algorithms and Applications (3 papers). Min Dai collaborates with scholars based in China, Saudi Arabia and United States. Min Dai's co-authors include Changsheng Peng, Zaoxiao Zhang, Fusheng Yang, Iffat Naz and Imran Ali and has published in prestigious journals such as Analytical Chemistry, Journal of Hazardous Materials and Journal of Cleaner Production.

In The Last Decade

Fields of papers citing papers by Min Dai

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

Countries citing papers authored by Min Dai

Since Specialization

Citations

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

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