C
Chao Zhang
Researcher at Beihang University
Publications - 4347
Citations - 118320
Chao Zhang is an academic researcher from Beihang University. The author has contributed to research in topics: Medicine & Computer science. The author has an hindex of 127, co-authored 3119 publications receiving 84711 citations. Previous affiliations of Chao Zhang include West Virginia University & University of Oklahoma.
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Journal ArticleDOI
Effect of human umbilical cord-derived mesenchymal stem cells on lung damage in severe COVID-19 patients: a randomized, double-blind, placebo-controlled phase 2 trial.
Lei Shi,Hai Huang,Xuechun Lu,Xiaoyan Yan,Xiaojing Jiang,Ruonan Xu,Siyu Wang,Chao Zhang,Xin Yuan,Zhe Xu,Lei Huang,Junliang Fu,Yuanyuan Li,Zhang Yu,Wei-Qi Yao,Tianyi Liu,Jin-Wen Song,Liangliang Sun,Fan Yang,Xin Zhang,Bo Zhang,Ming Shi,Fanping Meng,Yanning Song,Yongpei Yu,Jiqiu Wen,Qi Li,Qing Mao,Markus Maeurer,Alimuddin Zumla,Chen Yao,Wei-Fen Xie,Fu-Sheng Wang +32 more
TL;DR: Wang et al. as mentioned in this paper performed a phase 2 trial to assess the efficacy and safety of human umbilical cord-mesenchymal stem cells (UC-MSCs) to treat severe COVID-19 patients with lung damage, based on their phase 1 data.
Journal ArticleDOI
Conducting polymer composites: material synthesis and applications in electrochemical capacitive energy storage
TL;DR: In this paper, the authors present the approaches in the design and fabrication of conducting polymer composites as electrode materials for electrochemical capacitive energy storage, and the key issues for achieving optimized supercapacitive performances, such as fabricating nanostructured electrodes and tailoring microstructures of conducting polymers, are described and concisely discussed in this review.
Journal ArticleDOI
A global representation of the protein fold space
TL;DR: A 3D map of the protein fold space in which structurally related folds are represented by spatially adjacent points reveals a high-level organization of the fold space that is intuitively interpretable.
Journal ArticleDOI
Recurrent neural networks for real-time prediction of TBM operating parameters
TL;DR: The feasibility of RNNs for the real-time prediction of TBM operating parameters indicates thatRNNs can afford the analysis and the forecasting of the time-continuous in-situ data collected from various construction equipments.
Proceedings ArticleDOI
STREAMCUBE: Hierarchical spatio-temporal hashtag clustering for event exploration over the Twitter stream
TL;DR: This paper focuses on hierarchical spatio-temporal hashtag clustering techniques and proposes a data structure called STREAMCUBE, which is an extension of the data cube structure from the database community with spatial and temporal hierarchy.