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National Science Review is a peer-reviewed journal published by Oxford University Press, covering Advancements in Battery Materials, Advanced Battery Materials and Technologies, Topological Materials and Phenomena.
| Publisher | Oxford University Press |
|---|---|
| Reference style | Author–year (OUP) Author–year — (Smith, 2023) in the text Smith, A., Jones, B. and Lee, C. (2023) 'A representative article title', National Science Review, 12(3), pp. 45–58.
Formats any DOI in the closest standard style — National Science Review has no published style definition, so this is an approximation. No sign-up. |
| Publishes research in | Advancements in Battery Materials Advanced Battery Materials and Technologies Topological Materials and Phenomena Graphene research and applications Advanced Sensor and Energy Harvesting Materials |
| ISSN | 2053-714X |
| Citation impact (2-yr) | 9.21 |
| h-index | 162 |
| i10-index | 1,731 |
| Total citations | 130,911 |
| Article processing charge | $1,904 |
| Open access | Yes |
| Top institutions publishing here | Chinese Academy of Sciences |
| Journal website | academic.oup.com |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Citations each year’s papers have accumulated so far — the most recent years are still building up.
Supervised learning techniques construct predictive models by learning from a large number of training examples, where each training example has a label indicating its ground-truth output. Though current techniques have achieved great success, it is noteworthy that in many tasks it is difficult to get strong supervision information like fully ground-truth labels due to the…
The SARS-CoV-2 epidemic started in late December 2019 in Wuhan, China, and has since impacted a large portion of China and raised major global concern. Herein, we investigated the extent of molecular divergence between SARS-CoV-2 and other related coronaviruses. Although we found only 4% variability in genomic nucleotides between SARS-CoV-2 and a bat SARS-related coronavirus…
Big Data bring new opportunities to modern society and challenges to data scientists. On one hand, Big Data hold great promises for discovering subtle population patterns and heterogeneities that are not possible with small-scale data. On the other hand, the massive sample size and high dimensionality of Big Data introduce unique computational and statistical challenges,…
The development of reliable anthropogenic emission inventories is essential for both understanding the sources of air pollution and designing effective air-pollution-control measures in China. However, it is challenging to quantify emissions in China accurately, given the variety of contributing sources, the complexity of the technology mix and the lack of reliable measurements. Over the last…
