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Communications Engineering is a peer-reviewed journal published by Springer Nature, covering Advanced Memory and Neural Computing, Optical Network Technologies, Neural Networks and Reservoir Computing. Over its lifetime it has published 724 papers, which have received 6,447 citations.
| Publisher | Springer Nature |
|---|---|
| Reference style | Superscript numbered (Nature) Superscript — small raised numerals in the text 1. Smith, A., Jones, B. & Lee, C. A representative article title. Communications Engineering 12, 45–58 (2023).
Formats any DOI in Communications Engineering style. No sign-up. |
| Publishes research in | Advanced Memory and Neural Computing Optical Network Technologies Neural Networks and Reservoir Computing Advanced Battery Technologies Research Advanced Sensor and Energy Harvesting Materials |
| ISSN | 2731-3395 |
| Citation impact (2-yr) | 6.34 |
| h-index | 36 |
| i10-index | 223 |
| Open access | Yes — indexed in DOAJ |
| Top institutions publishing here | Stanford University |
| 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.
Computer-aided diagnosis (CAD) has advanced medical image analysis, while large language models (LLMs) have shown potential in clinical applications. However, LLMs struggle to interpret medical images, which are critical for decision-making. Here we show a strategy integrating LLMs with CAD networks. The framework uses LLMs’ medical knowledge and reasoning to enhance CAD network outputs, such…
Abstract Nature-inspired material design is driven by superior properties found in natural architected materials and enabled by recent developments in additive manufacturing and machine learning. Existing approaches to push design beyond biomimicry typically use supervised deep learning algorithms to predict and optimize properties based on experimental or simulation data. However, these methods constrain generated material…
Abstract Low-cost alkaline water electrolysis from renewable energy sources (RESs) is suitable for large-scale hydrogen production. However, fluctuating RESs lead to poor performance of alkaline water electrolyzers (AWEs) at low loads. Here we explore two urgent performance issues: inefficiency and inconsistency. Through detailed operation process analysis of AWEs and the established equivalent electrical model, we…
Abstract Reservoir computing offers efficient processing of time-series data with exceptionally low training cost for real-time computing in edge devices where energy and hardware resources are limited. Here, we report reservoir computing hardware based on a ferroelectric field-effect transistor (FeFET) consisting of silicon and ferroelectric hafnium zirconium oxide. The rich dynamics originating from the ferroelectric…
Abstract Responsible disposal of vehicles at the end of life is a pressing environmental concern. In particular, waste plastic forms the largest proportion of non-recycled waste material from light-duty vehicles, and often ends up in a landfill. Here we report the upcycling of depolluted, dismantled and shredded end-of-life waste plastic into flash graphene using flash…
