Big Data and Cognitive Computing | Highly Cited Papers Published in 2024–2025

We are delighted to share some of the highly cited papers that were published in Big Data and Cognitive Computing (BDCC, ISSN: 2504-2289) in 2024 and 2025. The following is a list of high-quality articles that we believe will be of interest to you:

“Enhancing Credit Card Fraud Detection: An Ensemble Machine Learning Approach”
by Abdul Rehman Khalid, Nsikak Owoh, Omair Uthmani, Moses Ashawa, Jude Osamor and John Adejoh
Big Data Cogn. Comput. 2024, 8(1), 6; https://doi.org/10.3390/bdcc8010006
Available online: http://www.mdpi.com/2504-2289/8/1/6

“Autonomous Vehicles: Evolution of Artificial Intelligence and the Current Industry Landscape”
by Divya Garikapati and Sneha Sudhir Shetiya
Big Data Cogn. Comput. 2024, 8(4), 42; https://doi.org/10.3390/bdcc8040042
Available online: http://www.mdpi.com/2504-2289/8/4/42

“Review of Federated Learning and Machine Learning-Based Methods for Medical Image Analysis”
by Netzahualcoyotl Hernandez-Cruz, Pramit Saha, Md Mostafa Kamal Sarker and J. Alison Noble
Big Data Cogn. Comput. 2024, 8(9), 99; https://doi.org/10.3390/bdcc8090099
Available online: http://www.mdpi.com/2504-2289/8/9/99

“Innovative Sentiment Analysis and Prediction of Stock Price Using FinBERT, GPT-4 and Logistic Regression: A Data-Driven Approach”
by Olamilekan Shobayo, Sidikat Adeyemi-Longe, Olusogo Popoola and Bayode Ogunleye
Big Data Cogn. Comput. 2024, 8(11), 143; https://doi.org/10.3390/bdcc8110143
Available online: http://www.mdpi.com/2504-2289/8/11/143

“LLMs and NLP Models in Cryptocurrency Sentiment Analysis: A Comparative Classification Study”
by Konstantinos I. Roumeliotis, Nikolaos D. Tselikas and Dimitrios K. Nasiopoulos
Big Data Cogn. Comput. 2024, 8(6), 63; https://doi.org/10.3390/bdcc8060063
Available online: http://www.mdpi.com/2504-2289/8/6/63

“Generative Artificial Intelligence: Analyzing Its Future Applications in Additive Manufacturing”
by Erik Westphal and Hermann Seitz
Big Data Cogn. Comput. 2024, 8(7), 74; https://doi.org/10.3390/bdcc8070074
Available online: http://www.mdpi.com/2504-2289/8/7/74

“Exploring the Landscape of Explainable Artificial Intelligence (XAI): A Systematic Review of Techniques and Applications”
by Sayda Umma Hamida, Mohammad Jabed Morshed Chowdhury, Narayan Ranjan Chakraborty, Kamanashis Biswas and Shahrab Khan Sami
Big Data Cogn. Comput. 2024, 8(11), 149; https://doi.org/10.3390/bdcc8110149
Available online: http://www.mdpi.com/2504-2289/8/11/149

“Sentiment Informed Sentence BERT-Ensemble Algorithm for Depression Detection”
by Bayode Ogunleye, Hemlata Sharma and Olamilekan Shobayo
Big Data Cogn. Comput. 2024, 8(9), 112; https://doi.org/10.3390/bdcc8090112
Available online: http://www.mdpi.com/2504-2289/8/9/112

“AI-Generated Text Detector for Arabic Language Using Encoder-Based Transformer Architecture”
by Hamed Alshammari, Ahmed El-Sayed and Khaled Elleithy
Big Data Cogn. Comput. 2024, 8(3), 32; https://doi.org/10.3390/bdcc8030032
Available online: http://www.mdpi.com/2504-2289/8/3/32

“Trends and Challenges towards Effective Data-Driven Decision Making in UK Small and Medium-Sized Enterprises: Case Studies and Lessons Learnt from the Analysis of 85 Small and Medium-Sized Enterprises”
by Abdel-Rahman H. Tawil, Muhidin Mohamed, Xavier Schmoor, Konstantinos Vlachos and Diana Haidar
Big Data Cogn. Comput. 2024, 8(7), 79; https://doi.org/10.3390/bdcc8070079
Available online: http://www.mdpi.com/2504-2289/8/7/79

“Ethical AI in Financial Inclusion: The Role of Algorithmic Fairness on User Satisfaction and Recommendation”
by Qin Yang and Young-Chan Lee
Big Data Cogn. Comput. 2024, 8(9), 105; https://doi.org/10.3390/bdcc8090105
Available online: http://www.mdpi.com/2504-2289/8/9/105

“A Survey of Incremental Deep Learning for Defect Detection in Manufacturing”
by Reenu Mohandas, Mark Southern, Eoin O’Connell and Martin Hayes
Big Data Cogn. Comput. 2024, 8(1), 7; https://doi.org/10.3390/bdcc8010007
Available online: http://www.mdpi.com/2504-2289/8/1/7

“A Comparative Study of Sentiment Classification Models for Greek Reviews”
by Panagiotis D. Michailidis
Big Data Cogn. Comput. 2024, 8(9), 107; https://doi.org/10.3390/bdcc8090107
Available online: http://www.mdpi.com/2504-2289/8/9/107

“Unveiling Sentiments: A Comprehensive Analysis of Arabic Hajj-Related Tweets from 2017–2022 Utilizing Advanced AI Models”
by Hanan M. Alghamdi
Big Data Cogn. Comput. 2024, 8(1), 5; https://doi.org/10.3390/bdcc8010005
Available online: http://www.mdpi.com/2504-2289/8/1/5

“Image-Based Leaf Disease Recognition Using Transfer Deep Learning with a Novel Versatile Optimization Module”
by Petar Radočaj, Dorijan Radočaj and Goran Martinović
Big Data Cogn. Comput. 2024, 8(6), 52; https://doi.org/10.3390/bdcc8060052
Available online: http://www.mdpi.com/2504-2289/8/6/52

“Strawberry Ripeness Detection Using Deep Learning Models”
by Zhiyuan Mi and Wei Qi Yan
Big Data Cogn. Comput. 2024, 8(8), 92; https://doi.org/10.3390/bdcc8080092
Available online: http://www.mdpi.com/2504-2289/8/8/92

“Medical IoT Record Security and Blockchain: Systematic Review of Milieu, Milestones, and Momentum”
by Simeon Okechukwu Ajakwe, Igboanusi Ikechi Saviour, Vivian Ukamaka Ihekoronye, Odinachi U. Nwankwo,Mohamed Abubakar Dini, Izuazu Urslla Uchechi, Dong-Seong Kim and Jae Min Lee
Big Data Cogn. Comput. 2024, 8(9), 121; https://doi.org/10.3390/bdcc8090121
Available online: http://www.mdpi.com/2504-2289/8/9/121

“LLM Fine-Tuning: Concepts, Opportunities, and Challenges”
by Xiao-Kun Wu, Min Chen, Wanyi Li, Rui Wang, Limeng Lu, Jia Liu, Kai Hwang, Yixue Hao, Yanru Pan, Qingguo Meng et al.
Big Data Cogn. Comput. 2025, 9(4), 87; https://doi.org/10.3390/bdcc9040087
Available online: http://www.mdpi.com/2504-2289/9/4/87

“CNN-Based Framework for Classifying COVID-19, Pneumonia, and Normal Chest X-Rays”
by Cristian Randieri, Andrea Perrotta, Adriano Puglisi, Maria Grazia Bocci and Christian Napoli
Big Data Cogn. Comput. 2025, 9(7), 186; https://doi.org/10.3390/bdcc9070186
Available online: http://www.mdpi.com/2504-2289/9/7/186

“Generation Z’s Travel Behavior and Climate Change: A Comparative Study for Greece and the UK”
by Athanasios Demiris, Grigorios Fountas, Achille Fonzone and Socrates Basbas
Big Data Cogn. Comput. 2025, 9(3), 70; https://doi.org/10.3390/bdcc9030070
Available online: http://www.mdpi.com/2504-2289/9/3/70

“Improving Synthetic Data Generation Through Federated Learning in Scarce and Heterogeneous Data Scenarios”
by Patricia A. Apellániz, Juan Parras and Santiago Zazo
Big Data Cogn. Comput. 2025, 9(2), 18; https://doi.org/10.3390/bdcc9020018
Available online: http://www.mdpi.com/2504-2289/9/2/18

“Subjective Assessment of a Built Environment by ChatGPT, Gemini and Grok: Comparison with Architecture, Engineering and Construction Expert Perception”
by Rachid Belaroussi
Big Data Cogn. Comput. 2025, 9(4), 100; https://doi.org/10.3390/bdcc9040100
Available online: http://www.mdpi.com/2504-2289/9/4/100

“A Comparative Analysis of Sentence Transformer Models for Automated Journal Recommendation Using PubMed Metadata”
by Maria Teresa Colangelo, Marco Meleti, Stefano Guizzardi, Elena Calciolari and Carlo Galli
Big Data Cogn. Comput. 2025, 9(3), 67; https://doi.org/10.3390/bdcc9030067
Available online: http://www.mdpi.com/2504-2289/9/3/67

“Labeling Network Intrusion Detection System (NIDS) Rules with MITRE ATT&CK Techniques: Machine Learning vs. Large Language Models”
by Nir Daniel, Florian Klaus Kaiser, Shay Giladi, Sapir Sharabi, Raz Moyal, Shalev Shpolyansky, Andres Murillo, Aviad Elyashar and Rami Puzis
Big Data Cogn. Comput. 2025, 9(2), 23; https://doi.org/10.3390/bdcc9020023
Available online: http://www.mdpi.com/2504-2289/9/2/23