D
Dong Wang
Researcher at Chinese Academy of Sciences
Publications - 586
Citations - 13460
Dong Wang is an academic researcher from Chinese Academy of Sciences. The author has contributed to research in topics: Computer science & Medicine. The author has an hindex of 49, co-authored 491 publications receiving 9970 citations. Previous affiliations of Dong Wang include University of Science and Technology of China & Shanghai University.
Papers
More filters
Journal ArticleDOI
Developing a dual entropy-transinformation criterion for hydrometric network optimization based on information theory and copulas.
Heshu Li,Dong Wang,Vijay P. Singh,Yuankun Wang,Jianfeng Wu,Jichun Wu,Ruimin He,Ying Zou,Jiufu Liu,Jianyun Zhang +9 more
TL;DR: Results showed that DETC could effectively prioritize stations according to their significance and incorporate decision preference on information content and information redundancy and had advantage of restoring the spatial distribution of precipitation.
Journal ArticleDOI
Co-Co LDH-Derived CoSe2 Anchored on N-Doped Carbon Nanospheres as High-Performance Anodes for Sodium-Ion Batteries
TL;DR: In this paper , hollow carbon nanospheres were nitrogen-doped, and the zeolitic imidazolate framework-67 was used as a precursor to synthesize cobalt-based layered double hydroxide using the hydrothermal method followed by synthesizing an [email protected]2@C complex using calcination and carbon coating.
Journal ArticleDOI
Green fluorescent nanomaterials for rapid detection of chromium and iron ions: wool keratin-based carbon quantum dots
TL;DR: In this paper , nitrogen and sulfur doped fluorescent carbon quantum dots (N,S-CDs) were prepared based on wool keratin using a hydrothermal method, of which the morphology, chemical composition and optical properties were characterized.
Journal ArticleDOI
Detection and Visualisation of Pneumoconiosis Using an Ensemble of Multi-Dimensional Deep Features Learned from Chest X-rays
TL;DR: This study proposed an ensemble learning approach to improve pneumoconiosis detection in chest X-rays (CXRs) using nine machine learning classifiers and multi-dimensional deep features extracted using CheXNet-121 architecture and observed that integrated ensemble learning exhibits promising results.
Journal ArticleDOI
Improved comprehensive ecological risk assessment method and sensitivity analysis of polycyclic aromatic hydrocarbons (PAHs).
Wenyue Liu,Dong Wang,Yuankun Wang,Xiankui Zeng,Lingling Ni,Yuwei Tao,Jichun Wu,Jiufu Liu,Ying Zou,Ruimin He,Jianyun Zhang +10 more
TL;DR: The improved HACIA model is helpful to evaluate the comprehensive ecological risk of 16 PAHs, and formulate risk management strategies based on grouped risk assessment and sensitivity analysis, with the former points out the admonitory risk and the latter helps to find the most effective mitigation measures.