OOIR: Observatory of International Research

Papers

(The H4-Index of PeerJ Computer Science is 36. 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
The coefficient of determination R-squared is more informative than SMAPE, MAE, MAPE, MSE and RMSE in regression analysis evaluation	1075
The multi-modal fusion in visual question answering: a review of attention mechanisms	135
Research on image classification method based on improved multi-scale relational network	134
Joint embedding VQA model based on dynamic word vector	121
A real-time approach of diagnosing rice leaf disease using deep learning-based faster R-CNN framework	107
Characterization inference based on joint-optimization of multi-layer semantics and deep fusion matching network	93
Blockchain and smart contract for IoT enabled smart agriculture	79
Deep learning based respiratory sound analysis for detection of chronic obstructive pulmonary disease	73
Deep learning based Sequential model for malware analysis using Windows exe API Calls	70
Classification of botnet attacks in IoT smart factory using honeypot combined with machine learning	68
Detecting cassava mosaic disease using a deep residual convolutional neural network with distinct block processing	67
From ECG signals to images: a transformation based approach for deep learning	66
BCD-WERT: a novel approach for breast cancer detection using whale optimization based efficient features and extremely randomized tree algorithm	65
A comprehensive review of deep learning-based single image super-resolution	61
Gray level co-occurrence matrix (GLCM) texture based crop classification using low altitude remote sensing platforms	56
Self-supervised learning methods and applications in medical imaging analysis: a survey	56
Harvesting social media sentiment analysis to enhance stock market prediction using deep learning	55
Researching COVID-19 tracing app acceptance: incorporating theory from the technological acceptance model	53
A comparative study of machine learning and deep learning algorithms to classify cancer types based on microarray gene expression data	53
Cervical cancer detection in pap smear whole slide images using convNet with transfer learning and progressive resizing	53
Chest X-ray pneumothorax segmentation using U-Net with EfficientNet and ResNet architectures	53
Survey on graph embeddings and their applications to machine learning problems on graphs	53
The rising trend of Metaverse in education: challenges, opportunities, and ethical considerations	50
Detection of sitting posture using hierarchical image composition and deep learning	48
Detection of diabetic retinopathy using a fusion of textural and ridgelet features of retinal images and sequential minimal optimization classifier	47

AI-driven deep CNN approach for multi-label pathology classification using chest X-Rays	44
Towards generalisable hate speech detection: a review on obstacles and solutions	44
A systematic review of security and privacy issues in the internet of medical things; the role of machine learning approaches	44
FUSI-CAD: Coronavirus (COVID-19) diagnosis based on the fusion of CNNs and handcrafted features	43
Forecasting Bitcoin closing price series using linear regression and neural networks models	40
Towards a blockchain-based certificate authentication system in Vietnam	39
Secure biometric authentication with de-duplication on distributed cloud storage	38
Explainable stock prices prediction from financial news articles using sentiment analysis	38
Overview of current state of research on the application of artificial intelligence techniques for COVID-19	37
Novel hybrid firefly algorithm: an application to enhance XGBoost tuning for intrusion detection classification	36
Data augmentation based malware detection using convolutional neural networks	36