Sci | Highly Cited Papers Published in 2023
Sci (ISSN: 2413-4155) is a multidisciplinary, open access journal that aims to provide a platform for researchers from various fields, such as life sciences, physical sciences, clinical medicine, sports sciences, materials sciences, computer sciences, environmental sciences and engineering, to address the main challenges facing humankind today. These include those pertaining to energy, food, water, climate and health.
All papers are published in an open access format, granting our readers free and unlimited access to the full text of all the articles published in our journal. We welcome you to read our most highly cited papers published in 2023, listed below:
“Review on Alzheimer Disease Detection Methods: Automatic Pipelines and Machine Learning Techniques”
by Amar Shukla, Rajeev Tiwari and Shamik Tiwari
Sci 2023, 5(1), 13; https://doi.org/10.3390/sci5010013
Full text available online: https://www.mdpi.com/2413-4155/5/1/13
“Privacy and Security of Blockchain in Healthcare: Applications, Challenges, and Future Perspectives”
by Hamed Taherdoost
Sci 2023, 5(4), 41; https://doi.org/10.3390/sci5040041
Full text available online: https://www.mdpi.com/2413-4155/5/4/41
“The Digital Calibration Certificate (DCC) for an End-to-End Digital Quality Infrastructure for Industry 4.0”
by Siegfried Hackel, Shanna Schönhals, Lutz Doering, Thomas Engel and Reinhard Baumfalk
Sci 2023, 5(1), 11; https://doi.org/10.3390/sci5010011
Full text available online: https://www.mdpi.com/2413-4155/5/1/11
“From Turing to Transformers: A Comprehensive Review and Tutorial on the Evolution and Applications of Generative Transformer Models”
by Emma Yann Zhang, Adrian David Cheok, Zhigeng Pan, Jun Cai and Ying Yan
Sci 2023, 5(4), 46; https://doi.org/10.3390/sci5040046
Full text available online: https://www.mdpi.com/2413-4155/5/4/46
“Digital Twins in Manufacturing: A RAMI 4.0 Compliant Concept”
by Martin Lindner, Lukas Bank, Johannes Schilp and Matthias Weigold
Sci 2023, 5(4), 40; https://doi.org/10.3390/sci5040040
Full text available online: https://www.mdpi.com/2413-4155/5/4/40
“Clustering Analysis on Sustainable Development Goal Indicators for Forty-Five Asian Countries”
by Anuradha Mathrani, Jian Wang, Ding Li and Xuanzhen Zhang
Sci 2023, 5(2), 14; https://doi.org/10.3390/sci5020014
Full text available online: https://www.mdpi.com/2413-4155/5/2/14
“Multi-Lexicon Classification and Valence-Based Sentiment Analysis as Features for Deep Neural Stock Price Prediction”
by Shubashini Rathina Velu, Vinayakumar Ravi and Kayalvily Tabianan
Sci 2023, 5(1), 8; https://doi.org/10.3390/sci5010008
Full text available online: https://www.mdpi.com/2413-4155/5/1/8
“Yield and Composition Variations of the Milk from Different Camel Breeds in Saudi Arabia”
by Amr A. El-Hanafy, Yasser M. Saad, Saleh A. Alkarim, Hussein A. Almehdar, Fuad M. Alzahrani, Mohammed A. Almatry, Vladimir N. Uversky and Elrashdy M. Redwan
Sci 2023, 5(1), 2; https://doi.org/10.3390/sci5010002
Full text available online: https://www.mdpi.com/2413-4155/5/1/2
“A Survey on EEG Data Analysis Software”
by Rupak Kumar Das, Anna Martin, Tom Zurales, Dale Dowling and Arshia Khan
Sci 2023, 5(2), 23; https://doi.org/10.3390/sci5020023
Full text available online: https://www.mdpi.com/2413-4155/5/2/23
“A Dual Multimodal Biometric Authentication System Based on WOA-ANN and SSA-DBN Techniques”
by Sandeep Pratap Singh and Shamik Tiwari
Sci 2023, 5(1), 10; https://doi.org/10.3390/sci5010010
Full text available online: https://www.mdpi.com/2413-4155/5/1/10