OOIR: Observatory of International Research

Papers

(The H4-Index of Journal of Big Data is 40. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-03-01 to 2024-03-01.)

Article	Citations
Review of deep learning: concepts, CNN architectures, challenges, applications, future directions	2156
CatBoost for big data: an interdisciplinary review	348
Selecting critical features for data classification based on machine learning methods	327
Cybersecurity data science: an overview from machine learning perspective	234
Survey on categorical data for neural networks	218
A survey on missing data in machine learning	212
Performance Analysis of Intrusion Detection Systems Using a Feature Selection Method on the UNSW-NB15 Dataset	190
Deep Learning applications for COVID-19	187
Text Data Augmentation for Deep Learning	171
A comprehensive survey of anomaly detection techniques for high dimensional big data	160
Short-term stock market price trend prediction using a comprehensive deep learning system	155
Boosting methods for multi-class imbalanced data classification: an experimental review	154
Comparative analysis of deep learning image detection algorithms	125
Predictive big data analytics for supply chain demand forecasting: methods, applications, and research opportunities	110
A survey on data‐efficient algorithms in big data era	106
A survey and analysis of intrusion detection models based on CSE-CIC-IDS2018 Big Data	105
Resampling imbalanced data for network intrusion detection datasets	103
A survey on generative adversarial networks for imbalance problems in computer vision tasks	103
A comprehensive evaluation of ensemble learning for stock-market prediction	99
SICE: an improved missing data imputation technique	98
Current landscape and influence of big data on finance	91
A novel community detection based genetic algorithm for feature selection	84
A survey on deep learning tools dealing with data scarcity: definitions, challenges, solutions, tips, and applications	84
A systematic review and research perspective on recommender systems	82
A comparative analysis of machine learning methods for emotion recognition using EEG and peripheral physiological signals	82

Analysis and best parameters selection for person recognition based on gait model using CNN algorithm and image augmentation	82
The use of Big Data Analytics in healthcare	81
Intrusion detection systems using long short-term memory (LSTM)	74
Prediction of probable backorder scenarios in the supply chain using Distributed Random Forest and Gradient Boosting Machine learning techniques	68
Part of speech tagging: a systematic review of deep learning and machine learning approaches	62
Air-pollution prediction in smart city, deep learning approach	58
A literature review on one-class classification and its potential applications in big data	58
A machine learning based credit card fraud detection using the GA algorithm for feature selection	57
Data science approach to stock prices forecasting in Indonesia during Covid-19 using Long Short-Term Memory (LSTM)	52
A survey on artificial intelligence assurance	49
Transfer learning: a friendly introduction	48
IGRF-RFE: a hybrid feature selection method for MLP-based network intrusion detection on UNSW-NB15 dataset	46
Machine learning techniques to predict daily rainfall amount	44
A novel multi-source information-fusion predictive framework based on deep neural networks for accuracy enhancement in stock market prediction	43
A novel method of constrained feature selection by the measurement of pairwise constraints uncertainty	40