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Yong Jin Lee

Researcher at ShanghaiTech University

Publications -  169
Citations -  3676

Yong Jin Lee is an academic researcher from ShanghaiTech University. The author has contributed to research in topics: In vivo & Sodium-iodide symporter. The author has an hindex of 26, co-authored 154 publications receiving 2492 citations. Previous affiliations of Yong Jin Lee include École Polytechnique Fédérale de Lausanne & University of California, Berkeley.

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Journal ArticleDOI

Understanding the diversity of the metal-organic framework ecosystem

Seyed Mohamad Moosavi, +9 more
- 13 Aug 2020 - 
TL;DR: A machine learning method is developed to quantify similarities of MOFs to analyse their chemical diversity and identifies biases in the databases, and it is shown that such bias can lead to incorrect conclusions.
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Large thermoelectric figure-of-merits from SiGe nanowires by simultaneously measuring electrical and thermal transport properties.

Eun-Kyung Lee, +14 more
- 14 May 2012 - 
TL;DR: This work employed Si-Ge alloy as well as nanowire structures to maximize the depletion of heat-carrying phonons and results in a thermal conductivity as low as ∼1.2 W/m-K at 450 K, showing a large thermoelectric figure-of-merit (ZT) of ∼0.46.
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Quantifying similarity of pore-geometry in nanoporous materials.

Yong Jin Lee, +7 more
- 23 May 2017 - 
TL;DR: A pore recognition approach is developed to quantify similarity of pore structures and classify them using topological data analysis, which allows to identify materials with similar pore geometries, and to screen for materials that are similar to given top-performing structures.
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A Hypoxia-Induced Vascular Endothelial-to-Mesenchymal Transition in Development of Radiation-Induced Pulmonary Fibrosis.

Seo Hyun Choi, +13 more
- 15 Aug 2015 - 
TL;DR: The first evidence that an EndMT occurs in RIPF development is provided and that the EndMT may be effectively inhibited by modulating vascular EC-specific hypoxic damage.
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Robust Metal-Triazolate Frameworks for CO2 Capture from Flue Gas.

Zhaolin Shi, +8 more
- 23 Jan 2020 - 
TL;DR: The best performing MOF in this series features low regeneration energy, high CO2 capture utility under hu-mid conditions, and decent cycling performance for mimic flue gas.