Min Dai

73 papers and 1.2k indexed citations i.

About

Min Dai is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Biomedical Engineering. According to data from OpenAlex, Min Dai has authored 73 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Electrical and Electronic Engineering, 17 papers in Control and Systems Engineering and 16 papers in Biomedical Engineering. Recurrent topics in Min Dai’s work include Lightning and Electromagnetic Phenomena (8 papers), High-Voltage Power Transmission Systems (8 papers) and Industrial Vision Systems and Defect Detection (6 papers). Min Dai is often cited by papers focused on Lightning and Electromagnetic Phenomena (8 papers), High-Voltage Power Transmission Systems (8 papers) and Industrial Vision Systems and Defect Detection (6 papers). Min Dai collaborates with scholars based in China, United States and Saudi Arabia. Min Dai's co-authors include A. Keyhani, Dunbing Tang, Miguel Á. Salido, Adriana Giret, Jin‐Woo Jung, Mohammad N. Marwali, Changsheng Peng, A.B. Proca, A. El-Antably and Imran Ali and has published in prestigious journals such as The Astrophysical Journal, Journal of Applied Physics and Journal of Cleaner Production.

In The Last Decade

Co-authorship network of co-authors of Min Dai i

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).

Rankless by CCL
2025