OOIR: Observatory of International Research

Papers

(The H4-Index of PeerJ Computer Science is 39. 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 2020-08-01 to 2024-08-01.)

Article	Citations
The coefficient of determination R-squared is more informative than SMAPE, MAE, MAPE, MSE and RMSE in regression analysis evaluation	1487
The multi-modal fusion in visual question answering: a review of attention mechanisms	155
Research on image classification method based on improved multi-scale relational network	139
A real-time approach of diagnosing rice leaf disease using deep learning-based faster R-CNN framework	134
Joint embedding VQA model based on dynamic word vector	125
Characterization inference based on joint-optimization of multi-layer semantics and deep fusion matching network	98
Blockchain and smart contract for IoT enabled smart agriculture	95
Classification of botnet attacks in IoT smart factory using honeypot combined with machine learning	82
Deep learning based respiratory sound analysis for detection of chronic obstructive pulmonary disease	81
The rising trend of Metaverse in education: challenges, opportunities, and ethical considerations	80
A comprehensive review of deep learning-based single image super-resolution	77
Self-supervised learning methods and applications in medical imaging analysis: a survey	76
Detecting cassava mosaic disease using a deep residual convolutional neural network with distinct block processing	75
BCD-WERT: a novel approach for breast cancer detection using whale optimization based efficient features and extremely randomized tree algorithm	73
From ECG signals to images: a transformation based approach for deep learning	70
Gray level co-occurrence matrix (GLCM) texture based crop classification using low altitude remote sensing platforms	69
Harvesting social media sentiment analysis to enhance stock market prediction using deep learning	69
Chest X-ray pneumothorax segmentation using U-Net with EfficientNet and ResNet architectures	69
Cervical cancer detection in pap smear whole slide images using convNet with transfer learning and progressive resizing	63
Survey on graph embeddings and their applications to machine learning problems on graphs	58
Artificial intelligence approaches and mechanisms for big data analytics: a systematic study	58
Towards generalisable hate speech detection: a review on obstacles and solutions	57
Researching COVID-19 tracing app acceptance: incorporating theory from the technological acceptance model	57
Detection of sitting posture using hierarchical image composition and deep learning	56
AI-driven deep CNN approach for multi-label pathology classification using chest X-Rays	53

Lightweight transformer image feature extraction network	53
PyMC: a modern, and comprehensive probabilistic programming framework in Python	53
A systematic review of security and privacy issues in the internet of medical things; the role of machine learning approaches	53
Detection of diabetic retinopathy using a fusion of textural and ridgelet features of retinal images and sequential minimal optimization classifier	49
Data augmentation based malware detection using convolutional neural networks	47
Novel hybrid firefly algorithm: an application to enhance XGBoost tuning for intrusion detection classification	46
Explainable stock prices prediction from financial news articles using sentiment analysis	45
Secure biometric authentication with de-duplication on distributed cloud storage	44
FUSI-CAD: Coronavirus (COVID-19) diagnosis based on the fusion of CNNs and handcrafted features	44
To trust or not to trust an explanation: using LEAF to evaluate local linear XAI methods	44
On GPS spoofing of aerial platforms: a review of threats, challenges, methodologies, and future research directions	41
A systematic literature review on spam content detection and classification	41
Classification model for accuracy and intrusion detection using machine learning approach	39
Overview of current state of research on the application of artificial intelligence techniques for COVID-19	39
Selective oversampling approach for strongly imbalanced data	39
Adjusting eye aspect ratio for strong eye blink detection based on facial landmarks	39