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 2020-05-01 to 2024-05-01.)

Article	Citations
Review of deep learning: concepts, CNN architectures, challenges, applications, future directions	2421
CatBoost for big data: an interdisciplinary review	394
Selecting critical features for data classification based on machine learning methods	350
Cybersecurity data science: an overview from machine learning perspective	245
A survey on missing data in machine learning	245
Performance Analysis of Intrusion Detection Systems Using a Feature Selection Method on the UNSW-NB15 Dataset	209
Text Data Augmentation for Deep Learning	193
Deep Learning applications for COVID-19	191
A comprehensive survey of anomaly detection techniques for high dimensional big data	170
Boosting methods for multi-class imbalanced data classification: an experimental review	166
Short-term stock market price trend prediction using a comprehensive deep learning system	165
Comparative analysis of deep learning image detection algorithms	133
Predictive big data analytics for supply chain demand forecasting: methods, applications, and research opportunities	126
A survey on data‐efficient algorithms in big data era	118
Resampling imbalanced data for network intrusion detection datasets	113
A survey and analysis of intrusion detection models based on CSE-CIC-IDS2018 Big Data	112
A survey on generative adversarial networks for imbalance problems in computer vision tasks	110
A survey on deep learning tools dealing with data scarcity: definitions, challenges, solutions, tips, and applications	109
SICE: an improved missing data imputation technique	104
The use of Big Data Analytics in healthcare	103
A systematic review and research perspective on recommender systems	99
A novel community detection based genetic algorithm for feature selection	89
Analysis and best parameters selection for person recognition based on gait model using CNN algorithm and image augmentation	86
Intrusion detection systems using long short-term memory (LSTM)	80
Prediction of probable backorder scenarios in the supply chain using Distributed Random Forest and Gradient Boosting Machine learning techniques	72

A machine learning based credit card fraud detection using the GA algorithm for feature selection	72
Part of speech tagging: a systematic review of deep learning and machine learning approaches	71
A literature review on one-class classification and its potential applications in big data	68
Air-pollution prediction in smart city, deep learning approach	67
Transfer learning: a friendly introduction	62
IGRF-RFE: a hybrid feature selection method for MLP-based network intrusion detection on UNSW-NB15 dataset	60
Machine learning techniques to predict daily rainfall amount	54
A survey on artificial intelligence assurance	53
Data science approach to stock prices forecasting in Indonesia during Covid-19 using Long Short-Term Memory (LSTM)	52
A novel multi-source information-fusion predictive framework based on deep neural networks for accuracy enhancement in stock market prediction	48
Text based personality prediction from multiple social media data sources using pre-trained language model and model averaging	41
A novel method of constrained feature selection by the measurement of pairwise constraints uncertainty	41
A comprehensive performance analysis of Apache Hadoop and Apache Spark for large scale data sets using HiBench	40
Designing a Permissioned Blockchain Network for the Halal Industry using Hyperledger Fabric with multiple channels and the raft consensus mechanism	40
Deep anomaly detection through visual attention in surveillance videos	40