Wiley

Brain‐X Template

Write in a clean editor, then format for Brain‐X in one click — DocuGuru applies the official Wiley template with author–year references and exports a submission-ready PDF plus the editable LaTeX source. Free to start.

About the Brain‐X format

Brain‐X is a peer-reviewed journal published by Wiley, covering Functional Brain Connectivity Studies, EEG and Brain-Computer Interfaces, Diverse Scientific and Economic Studies.

PublisherWiley
Reference styleAuthor–year (Chicago)
Author–year — (Smith, 2023) in the text
Smith, Ada, Ben Jones, and Cara Lee. 2023. "A Representative Article Title." Brain‐X 12 (3): 45–58.

Formats any DOI in Brain‐X style. No sign-up.

Publishes research inFunctional Brain Connectivity Studies EEG and Brain-Computer Interfaces Diverse Scientific and Economic Studies Human auditory perception and evaluation Educational Robotics and Engineering
ISSN2835-3153
Citation impact (2-yr)4.02
h-index15
i10-index22
Total citations833
Open accessYes
Top institutions publishing herePeking University
You getA submission-ready PDF and the editable LaTeX source — ready to submit.

Papers published in Brain‐X per year

50
2023
40
2024
33
2025

Citation impact of Brain‐X by publication year

476
2023
231
2024
83
2025

Citations each year’s papers have accumulated so far — the most recent years are still building up.

Most-cited papers in Brain‐X

ChatGPT: The cognitive effects on learning and memory

Long Bai, Xiangfei Liu, Jiacan Su · 1 Sep 2023

Abstract As the integration of artificial intelligence (AI) into our daily lives and educational environments becomes increasingly prevalent, it is necessary to understand the way in which these technologies impact cognitive functions. AI models such as ChatGPT hold immense promise for advancing the field of education, making it easier than ever for educators to support…

Comprehensive review of Transformer‐based models in neuroscience, neurology, and psychiatry

Shan Cong, Hang Wang, Yang Zhou et al. · 26 Apr 2024

Abstract This comprehensive review aims to clarify the growing impact of Transformer‐based models in the fields of neuroscience, neurology, and psychiatry. Originally developed as a solution for analyzing sequential data, the Transformer architecture has evolved to effectively capture complex spatiotemporal relationships and long‐range dependencies that are common in biomedical data. Its adaptability and effectiveness in…

Understanding the role of inflammation in sensorineural hearing loss: Current goals and future prospects

Liling Li, Dan Chen, Xuexin Lin et al. · 1 Sep 2023

Abstract Sensorineural hearing loss (SNHL) is a common otologic condition caused by damage to hair cells and spiral ganglion neurons that affects transmission pathways. Most of these cells cannot be regenerated, and there has been no breakthrough in regeneration techniques for inner ear cells. SNHL has a high incidence rate and can cause a variety…

Understanding the brain with attention: A survey of transformers in brain sciences

Cheng Chen, Huilin Wang, Yunqing Chen et al. · 1 Sep 2023

Abstract Owing to their superior capabilities and advanced achievements, Transformers have gradually attracted attention with regard to understanding complex brain processing mechanisms. This study aims to comprehensively review and discuss the applications of Transformers in brain sciences. First, we present a brief introduction of the critical architecture of Transformers. Then, we overview and analyze their…

Tribo‐ferro‐optoelectronic neuromorphic transistor of <i>α</i>‐In<sub>2</sub>Se<sub>3</sub>

Zhenyu Feng, Jinran Yu, Yichen Wei et al. · 1 Jun 2023

Abstract Inspired by biological neural networks, the fabrication of artificial neuromorphic systems with multimodal perception capacity shows promises in overcoming the “von Neumann bottleneck” and takes advantage of the efficient perception and computation of diverse types of signals. Here, we combine a triboelectric nanogenerator with an α ‐phase indium selenide ( α ‐In 2 Se…

Brain‐X template — frequently asked questions

How do I write a paper in the Brain‐X format?
In DocuGuru you write your manuscript in a normal editor — no LaTeX setup required — and select the Brain‐X template. When you export, DocuGuru compiles the paper into the official Wiley format and hands you a submission-ready PDF along with the editable LaTeX source.
What reference style does Brain‐X use?
Brain‐X uses Author–year (Chicago) references, shown as author–year markers such as (Smith, 2023) in the text. DocuGuru formats every in-text citation and the reference list in this exact style automatically. A reference appears like this: Smith, Ada, Ben Jones, and Cara Lee. 2023. "A Representative Article Title." Brain‐X 12 (3): 45–58.
Do I need to know LaTeX to submit to Brain‐X?
No. DocuGuru generates the USG LaTeX class and compiles the PDF for you in the background, so you get a Wiley-ready Brain‐X document without writing any LaTeX. If you do want it, the LaTeX source is included in the export.
Can I import an existing draft into the Brain‐X template?
Yes. Paste or upload your current manuscript — Word, LaTeX, Markdown, or plain text — and DocuGuru reflows it into the Brain‐X format with correct headings, figures, tables, and author–year citations.
Who publishes Brain‐X?
Brain‐X is a multidisciplinary journal published by Wiley. DocuGuru's Brain‐X template matches Wiley's official submission format.
Can I export a submission-ready Brain‐X PDF?
Yes — DocuGuru produces a PDF built with the official Brain‐X template (the USG class) that is ready to submit to Wiley, together with the matching LaTeX source files.
How much does the Brain‐X template cost?
You can start writing in the Brain‐X template for free. Exporting the final submission-ready Brain‐X PDF and LaTeX source is part of DocuGuru's paid plans — see the app for current pricing.
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