5G networks will change several industries, including manufacturing. 5G has the potential to become the future communication platform of choice for many industries and in particular the manufacturing sector, driving the future of Industry 4.0 and smart manufacturing. The vision of a “factory of the future” is now tangible for many industry sectors. The ability…
Telecom Template
Write in a clean editor, then format for Telecom in one click — DocuGuru applies the official MDPI template with numbered references and exports a submission-ready PDF plus the editable LaTeX source. Free to start.
About the Telecom format
Telecom is a peer-reviewed journal published by MDPI, covering Advanced MIMO Systems Optimization, Advanced Wireless Communication Technologies, Antenna Design and Analysis. Over its lifetime it has published 380 papers, which have received 2,513 citations.
| Publisher | MDPI |
|---|---|
| Reference style | Numbered (MDPI) Numbered — [1], [2] in the text 1. Smith, A.; Jones, B.; Lee, C. A Representative Article Title. Telecom 2023, 12, 45–58.
Formats any DOI in Telecom style. No sign-up. |
| Publishes research in | Advanced MIMO Systems Optimization Advanced Wireless Communication Technologies Antenna Design and Analysis Millimeter-Wave Propagation and Modeling IoT and Edge/Fog Computing |
| ISSN | 2673-4001 |
| Citation impact (2-yr) | 2.59 |
| h-index | 26 |
| i10-index | 72 |
| Article processing charge | $1,082 |
| Open access | Yes — indexed in DOAJ |
| Top institutions publishing here | Aristotle University of Thessaloniki |
| Journal website | www.mdpi.com |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Papers published in Telecom per year
Citation impact of Telecom by publication year
Citations each year’s papers have accumulated so far — the most recent years are still building up.
Most-cited papers in Telecom
In the past few years, Internet of Things (IoT) devices have evolved faster and the use of these devices is exceedingly increasing to make our daily activities easier than ever. However, numerous security flaws persist on IoT devices due to the fact that the majority of them lack the memory and computing resources necessary for…
The use of Machine Learning (ML) and Sentiment Analysis (SA) on data from microblogging sites has become a popular method for stock market prediction. In this work, we developed a model for predicting stock movement utilizing SA on Twitter and StockTwits data. Stock movement and sentiment data were used to evaluate this approach and validate…
The design of a smart electromagnetic (EM) environment for next-generation wireless communication systems is addressed in this work. The proposed approach aims at synthesizing a desired EM field distribution over a target region, where the receiving terminals are located, through the opportunistic exploitation of the complex scattering interactions between the EM field generated by a…
Oceanographic data collection, disaster prevention, aided navigation, critical observation sub-missions, contaminant screening, and seaward scanning are just a few of the submissions that use underwater sensor hubs. Unmanned submerged vehicles (USVs) or autonomous acoustic underwater vehicles (AUVs) through sensors would similarly be able to explore unique underwater resources and gather data when utilized in conjunction…