Artificial intelligence-based methods such as chemometrics, machine learning, and deep learning are promising tools that lead to a clearer and better understanding of data. Only with these tools, data can be used to its full extent, and the gained knowledge on processes, interactions, and characteristics of the sample is maximized. Therefore, scientists are developing data…
Analytical Science Advances Template
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About the Analytical Science Advances format
Analytical Science Advances is a peer-reviewed journal published by Wiley, covering Metabolomics and Mass Spectrometry Studies, Mass Spectrometry Techniques and Applications, Analytical Chemistry and Chromatography.
| Publisher | Wiley |
|---|---|
| Reference style | Author–year (Chicago) Author–year — (Smith, 2023) in the text Smith, Ada, Ben Jones, and Cara Lee. 2023. "A Representative Article Title." Analytical Science Advances 12 (3): 45–58.
Formats any DOI in Analytical Science Advances style. No sign-up. |
| Publishes research in | Metabolomics and Mass Spectrometry Studies Mass Spectrometry Techniques and Applications Analytical Chemistry and Chromatography Analytical chemistry methods development Spectroscopy and Chemometric Analyses |
| ISSN | 2628-5452 |
| Citation impact (2-yr) | 3.76 |
| h-index | 25 |
| i10-index | 84 |
| Total citations | 2,832 |
| Open access | Yes |
| Top institutions publishing here | Tabriz University of Medical Sciences |
| Journal website | chemistry-europe.onlinelibrary.wiley.com |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Papers published in Analytical Science Advances per year
Citation impact of Analytical Science Advances by publication year
Citations each year’s papers have accumulated so far — the most recent years are still building up.
Most-cited papers in Analytical Science Advances
In molecular design, material design, process design, and process control, it is important not only to construct a model with high predictive ability between explanatory features x and objective features y using a dataset but also to interpret the constructed model. An index of feature importance in x is permutation feature importance (PFI), which can…
As the human population grows, the anthropogenic impacts from various agricultural and industrial processes produce unwanted contaminants in the environment. The accurate, sensitive and rapid detection of such contaminants is vital for human health and safety. Surface-enhanced Raman spectroscopy (SERS) is a valuable analytical tool with wide applications in environmental contaminant monitoring. The aim of…
With the development of highly sensitive bioanalytical techniques, the volume of samples necessary for accurate analysis has reduced. Microsampling, the process of obtaining small amounts of blood, has thus gained popularity as it offers minimal-invasiveness, reduced logistical costs and biohazard risks while simultaneously showing increased sample stability and a potential for the decentralization of the…
Mass spectrometry-based proteomics comprehensively defines proteome expression patterns in thousands of cells majorly contributing to our current understanding of many biological processes. More recently, single-cell transcriptome and genome studies, however, have demonstrated overwhelming heterogeneity of tissues and cellular subpopulations. These studies have indicated different cellular functionality and identity, which are mainly driven by proteins and…