In modern days, checking the huge number of MRI (magnetic resonance imaging) images and finding a brain tumour manually by a human is a very tedious and inaccurate task. It can affect the proper medical treatment of the patient. Again, it can be a hugely time-consuming task as it involves a huge number of image…
Neuroscience Informatics Template
Write in a clean editor, then format for Neuroscience Informatics in one click — DocuGuru applies the official Elsevier template with numbered references and exports a submission-ready PDF plus the editable LaTeX source. Free to start.
About the Neuroscience Informatics format
Neuroscience Informatics is a peer-reviewed journal published by Elsevier, covering EEG and Brain-Computer Interfaces, Functional Brain Connectivity Studies, Brain Tumor Detection and Classification.
| Publisher | Elsevier |
|---|---|
| Reference style | Numbered (Elsevier) Numbered — [1], [2] in the text [1] A. Smith, B. Jones, C. Lee, A representative article title, Neuroscience Informatics 12 (2023) 45–58.
Formats any DOI in Neuroscience Informatics style. No sign-up. |
| Publishes research in | EEG and Brain-Computer Interfaces Functional Brain Connectivity Studies Brain Tumor Detection and Classification Diverse Scientific and Economic Studies Human auditory perception and evaluation |
| ISSN | 2772-5286 |
| Citation impact (2-yr) | 2.55 |
| h-index | 25 |
| i10-index | 63 |
| Total citations | 3,169 |
| Article processing charge | $1,500 |
| Open access | Yes |
| Top institutions publishing here | Inserm |
| Journal website | www.journals.elsevier.com |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Papers published in Neuroscience Informatics per year
Citation impact of Neuroscience Informatics by publication year
Citations each year’s papers have accumulated so far — the most recent years are still building up.
Most-cited papers in Neuroscience Informatics
Skin cancer is one of the most prevalent and deadly types of cancer. Dermatologists diagnose this disease primarily visually. Multiclass skin cancer classification is challenging due to the fine-grained variability in the appearance of its various diagnostic categories. On the other hand, recent studies have demonstrated that convolutional neural networks outperform dermatologists in multiclass skin…
COVID-19 epidemic has swiftly disrupted our day-to-day lives affecting the international trade and movements. Wearing a face mask to protect one's face has become the new normal. In the near future, many public service providers will expect the clients to wear masks appropriately to partake of their services. Therefore, face mask detection has become a…
Alzheimer's disease (AD) as an advanced brain disorder may cause damage to the memory and tissue loss in the brain. Since AD is a mostly costly disease, various deep learning-based models have been presented to achieve a high accuracy classifier to Alzheimer's diagnosis. While a model with high discriminative features is required to obtain a…
Text devices are effectively and heavily used for interactions these days. Emotion extraction from the text has derived huge importance and is upcoming area of research in Natural Language Processing. Recognition of emotions from text has high practical utilities for quality improvement like in Human-Computer Interaction, recommendation systems, online education, data mining and so on.…