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Mingwei Chen

Researcher at Johns Hopkins University

Publications -  1108
Citations -  63568

Mingwei Chen is an academic researcher from Johns Hopkins University. The author has contributed to research in topics: Medicine & Chemistry. The author has an hindex of 108, co-authored 536 publications receiving 51351 citations. Previous affiliations of Mingwei Chen include National Taiwan University & Chiba University.

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A Compact Standing Wave Ultrasonic Motor Using Collinear Layout

TL;DR: In this paper , a standing wave ultrasonic motor with collinear layout was proposed to meet the requirements for compact actuator in precision drive, which can achieve a maximum speed of 715mm/s and thrust of 6N under preload of 0.5N and voltage of 300Vp-p.
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Design and Test of an Automatic Husking and Peeling Machine for Fresh Lotus Seeds

TL;DR: In this article , an automatic husking and peeling machine for fresh lotus seeds is designed with the husking module and the peeling module as the core devices, and the effect of working parameters on the membrane removal effect and the interaction between working parameters are experimentally studied by response surface methodology.
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A taxonomic revision of the nominotypical subgenus Tiphia Fabricius, 1775(Hymenoptera: Tiphiidae: Tiphiinae) from China, with three new species and a key to the Chinese species

Mingwei Chen, +1 more
- 10 May 2023 - 
TL;DR: In this paper , twenty-one species of the nominotypical subgenus Tiphia Fabricius from China are described and illustrated in detail, including three new species and ten new records as follows.
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Application of oral inorganic iodine in the treatment of Graves’ disease

TL;DR: Iodine is a crucial trace element for the human body and the basic raw material for the synthesis of thyroid hormones as mentioned in this paper , which can be used as an alternative when patients experience side effects with traditional ATDs and for those who still prefer conservative treatment.
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Integrated method for node centrality evaluation in green networks

TL;DR: In this article , a new index is proposed to accurately measure the result of cascading failure, based on this index, node centrality can be effectively evaluated, and a case demonstrates the superiority and reasonability of this method and this index.