Blockchain technology has revolutionized numerous industries, including that of financial accounting. However, its potential to support environmental, social, and corporate governance (ESG) objectives remains underexplored. This paper addresses this gap by investigating how blockchain’s decentralized and tamper-resistant characteristics can enhance green financial instruments, investment strategies, and climate-related financial disclosures. By leveraging these unique features of…
Blockchains Template
Write in a clean editor, then format for Blockchains 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 Blockchains format
Blockchains is a peer-reviewed journal published by MDPI, covering Blockchain Technology Applications and Security, IoT and Edge/Fog Computing, Cryptography and Data Security. Over its lifetime it has published 67 papers, which have received 541 citations.
| Publisher | MDPI |
|---|---|
| Reference style | Numbered (MDPI) Numbered — [1], [2] in the text 1. Smith, A.; Jones, B.; Lee, C. A Representative Article Title. Blockchains 2023, 12, 45–58.
Formats any DOI in Blockchains style. No sign-up. |
| Publishes research in | Blockchain Technology Applications and Security IoT and Edge/Fog Computing Cryptography and Data Security FinTech, Crowdfunding, Digital Finance Advanced Malware Detection Techniques |
| ISSN | 2813-5288 |
| Citation impact (2-yr) | 8.42 |
| h-index | 14 |
| i10-index | 21 |
| Open access | Yes — indexed in DOAJ |
| Top institutions publishing here | Beijing Institute of Technology |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Papers published in Blockchains per year
Citation impact of Blockchains by publication year
Citations each year’s papers have accumulated so far — the most recent years are still building up.
Most-cited papers in Blockchains
Blockchain technology promises transformative potential across diverse sectors, facilitating innovations in areas ranging from finance to healthcare. Despite its many promising applications, several barriers—including scalability challenges, regulatory complexities, and technical hurdles—limit its widespread adoption. This systematic literature review delves into scalability enhancements and explores the legal and regulatory landscapes impacting blockchain deployment in ten key…
The integrity of global elections is increasingly under threat from artificial intelligence (AI) technologies. As AI continues to permeate various aspects of society, its influence on political processes and elections has become a critical area of concern. This is because AI language models are far from neutral or objective; they inherit biases from their training…
Federated learning (FL) has emerged as an efficient machine learning (ML) method with crucial privacy protection features. It is adapted for training models in Internet of Things (IoT)-related domains, including smart healthcare systems (SHSs), where the introduction of IoT devices and technologies can arise various security and privacy concerns. However, as FL cannot solely address…
Utilizing the fundamental characteristics of the decentralization, immutability, and transparency of blockchain technology, the healthcare industry has made notable advancements in incorporating it over the past five years. This review examines the progress and challenges encountered in this critical study by assessing 124 articles published by MDPI between 2018 and the current date. Examining blockchain’s…