OOIR: Observatory of International Research

Papers

(The H4-Index of PeerJ Computer Science 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 2020-11-01 to 2024-11-01.)

Article	Citations
The coefficient of determination R-squared is more informative than SMAPE, MAE, MAPE, MSE and RMSE in regression analysis evaluation	1667
The multi-modal fusion in visual question answering: a review of attention mechanisms	162
A real-time approach of diagnosing rice leaf disease using deep learning-based faster R-CNN framework	149
Research on image classification method based on improved multi-scale relational network	139
Joint embedding VQA model based on dynamic word vector	125
Blockchain and smart contract for IoT enabled smart agriculture	101
Characterization inference based on joint-optimization of multi-layer semantics and deep fusion matching network	99
The rising trend of Metaverse in education: challenges, opportunities, and ethical considerations	94
Self-supervised learning methods and applications in medical imaging analysis: a survey	87
Deep learning based respiratory sound analysis for detection of chronic obstructive pulmonary disease	86
Classification of botnet attacks in IoT smart factory using honeypot combined with machine learning	83
A comprehensive review of deep learning-based single image super-resolution	81
Detecting cassava mosaic disease using a deep residual convolutional neural network with distinct block processing	76
Gray level co-occurrence matrix (GLCM) texture based crop classification using low altitude remote sensing platforms	74
Harvesting social media sentiment analysis to enhance stock market prediction using deep learning	74
PyMC: a modern, and comprehensive probabilistic programming framework in Python	73
Chest X-ray pneumothorax segmentation using U-Net with EfficientNet and ResNet architectures	73
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	72
Towards generalisable hate speech detection: a review on obstacles and solutions	65
Cervical cancer detection in pap smear whole slide images using convNet with transfer learning and progressive resizing	65
Detection of sitting posture using hierarchical image composition and deep learning	62
Artificial intelligence approaches and mechanisms for big data analytics: a systematic study	62
Researching COVID-19 tracing app acceptance: incorporating theory from the technological acceptance model	61
Lightweight transformer image feature extraction network	60

Survey on graph embeddings and their applications to machine learning problems on graphs	60
AI-driven deep CNN approach for multi-label pathology classification using chest X-Rays	55
A systematic review of security and privacy issues in the internet of medical things; the role of machine learning approaches	55
Detection of diabetic retinopathy using a fusion of textural and ridgelet features of retinal images and sequential minimal optimization classifier	51
Data augmentation based malware detection using convolutional neural networks	50
Explainable stock prices prediction from financial news articles using sentiment analysis	50
Novel hybrid firefly algorithm: an application to enhance XGBoost tuning for intrusion detection classification	49
Secure biometric authentication with de-duplication on distributed cloud storage	45
Utilizing grid search cross-validation with adaptive boosting for augmenting performance of machine learning models	45
To trust or not to trust an explanation: using LEAF to evaluate local linear XAI methods	45
A systematic literature review on spam content detection and classification	44
On GPS spoofing of aerial platforms: a review of threats, challenges, methodologies, and future research directions	44
Classification model for accuracy and intrusion detection using machine learning approach	41
Adjusting eye aspect ratio for strong eye blink detection based on facial landmarks	41
Selective oversampling approach for strongly imbalanced data	41
Detecting sarcasm in multi-domain datasets using convolutional neural networks and long short term memory network model	40
Application of machine learning algorithms to predict the thyroid disease risk: an experimental comparative study	40