Artificial intelligence (AI) is a rapidly growing technological phenomenon that all industries wish to exploit to benefit from efficiency gains and cost reductions. At the macrolevel, AI appears to be capable of replacing humans by undertaking intelligent tasks that were once limited to the human mind. However, another school of thought suggests that instead of…
AI Template
Write in a clean editor, then format for AI 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 AI format
AI is a peer-reviewed journal published by MDPI, covering Artificial Intelligence in Healthcare and Education, Advanced Neural Network Applications, Explainable Artificial Intelligence (XAI). Over its lifetime it has published 943 papers, which have received 9,957 citations.
| Publisher | MDPI |
|---|---|
| Reference style | Numbered (MDPI) Numbered — [1], [2] in the text 1. Smith, A.; Jones, B.; Lee, C. A Representative Article Title. AI 2023, 12, 45–58.
Formats any DOI in AI style. No sign-up. |
| Publishes research in | Artificial Intelligence in Healthcare and Education Advanced Neural Network Applications Explainable Artificial Intelligence (XAI) Topic Modeling Ethics and Social Impacts of AI |
| ISSN | 2673-2688 |
| Citation impact (2-yr) | 5.3 |
| h-index | 45 |
| i10-index | 220 |
| Article processing charge | $1,082 |
| Open access | Yes — indexed in DOAJ |
| Top institutions publishing here | Arab American University |
| Journal website | www.mdpi.com |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Papers published in AI per year
Citation impact of AI by publication year
Citations each year’s papers have accumulated so far — the most recent years are still building up.
Most-cited papers in AI
Cryptocurrency is a new sort of asset that has emerged as a result of the advancement of financial technology and it has created a big opportunity for researches. Cryptocurrency price forecasting is difficult due to price volatility and dynamism. Around the world, there are hundreds of cryptocurrencies that are used. This paper proposes three types…
Artificial Intelligence (AI) describes computer systems able to perform tasks that normally require human intelligence, such as visual perception, speech recognition, decision-making, and language translation. Examples of AI techniques are machine learning, neural networks, and deep learning. AI can be applied in many different areas, such as econometrics, biometry, e-commerce, and the automotive industry. In…
The technology acceptance model is a widely used model to investigate whether users will accept or refuse a new technology. The Metaverse is a 3D world based on virtual reality simulation to express real life. It can be considered the next generation of using the internet. In this paper, we are going to investigate variables…
Physics-informed neural networks (PINNs) represent a significant advancement at the intersection of machine learning and physical sciences, offering a powerful framework for solving complex problems governed by physical laws. This survey provides a comprehensive review of the current state of research on PINNs, highlighting their unique methodologies, applications, challenges, and future directions. We begin by…