J
Jun Ma
Researcher at Harbin Institute of Technology
Publications - 1523
Citations - 58397
Jun Ma is an academic researcher from Harbin Institute of Technology. The author has contributed to research in topics: Nasopharyngeal carcinoma & Medicine. The author has an hindex of 97, co-authored 1338 publications receiving 39643 citations. Previous affiliations of Jun Ma include Shenyang Aerospace University & University of Technology, Sydney.
Papers
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Evaluations of holey graphene oxide modified ultrafiltration membrane and the performance for water purification.
TL;DR: In this article, porous holey graphene oxide (HGO) was synthesized by hydrothermal etched GO to modify UF membranes and the water permeability of HGO membrane was more than twice that of GO membrane at the loading of 0.08 g/m2.
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Investigation of the irradiation effect on erbium-doped fiber amplifiers composed by different density erbium-doped fibers
TL;DR: In this paper, two erbium-doped fibers with different densities, which can make the EDFA achieve the same output power, have been irradiated by 60Co at the same rate and same total dose.
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Oxidation of theophylline by Ferrate (VI) and formation of disinfection byproducts during subsequent chlorination
TL;DR: In this paper, the degradation of theophylline (TPL) of environmental concerns by ferrate (Fe(VI)) and the effect of Fe(VI) pre-oxidation on formation of disinfection by-products (DBPs) from TPL during subsequent chlorination.
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Surface-tunable, electrically conductive and inexpensive graphene platelets and their hydrophilic polymer nanocomposites
TL;DR: In this paper, a simple microwave expansion method was introduced to prepare graphene platelets (GnPs) of 11.7-±-4.3-nm in thickness, and the platelets' high crystallinity before and after the surface modification was proved by TEM and SAED analysis.
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App clusters: Exploring patterns of multiple app use in primary learning contexts
TL;DR: This paper explores young children's real varied app use through a large aggregated Australian dataset of app usage in primary schools, which has been collected automatically from approximately 15,000 Android devices over three years.