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

Article	Citations
The coefficient of determination R-squared is more informative than SMAPE, MAE, MAPE, MSE and RMSE in regression analysis evaluation	1219
The multi-modal fusion in visual question answering: a review of attention mechanisms	140
Research on image classification method based on improved multi-scale relational network	136
Joint embedding VQA model based on dynamic word vector	124
A real-time approach of diagnosing rice leaf disease using deep learning-based faster R-CNN framework	114
Characterization inference based on joint-optimization of multi-layer semantics and deep fusion matching network	95
Blockchain and smart contract for IoT enabled smart agriculture	87
Classification of botnet attacks in IoT smart factory using honeypot combined with machine learning	79
Deep learning based respiratory sound analysis for detection of chronic obstructive pulmonary disease	75
Deep learning based Sequential model for malware analysis using Windows exe API Calls	71
Detecting cassava mosaic disease using a deep residual convolutional neural network with distinct block processing	70
BCD-WERT: a novel approach for breast cancer detection using whale optimization based efficient features and extremely randomized tree algorithm	68
From ECG signals to images: a transformation based approach for deep learning	67
A comprehensive review of deep learning-based single image super-resolution	66
Harvesting social media sentiment analysis to enhance stock market prediction using deep learning	63
Self-supervised learning methods and applications in medical imaging analysis: a survey	63
Gray level co-occurrence matrix (GLCM) texture based crop classification using low altitude remote sensing platforms	63
The rising trend of Metaverse in education: challenges, opportunities, and ethical considerations	61
Chest X-ray pneumothorax segmentation using U-Net with EfficientNet and ResNet architectures	59
Researching COVID-19 tracing app acceptance: incorporating theory from the technological acceptance model	57
Survey on graph embeddings and their applications to machine learning problems on graphs	56
Cervical cancer detection in pap smear whole slide images using convNet with transfer learning and progressive resizing	56
Towards generalisable hate speech detection: a review on obstacles and solutions	53
Detection of sitting posture using hierarchical image composition and deep learning	50
A systematic review of security and privacy issues in the internet of medical things; the role of machine learning approaches	48

Detection of diabetic retinopathy using a fusion of textural and ridgelet features of retinal images and sequential minimal optimization classifier	48
AI-driven deep CNN approach for multi-label pathology classification using chest X-Rays	48
Novel hybrid firefly algorithm: an application to enhance XGBoost tuning for intrusion detection classification	44
FUSI-CAD: Coronavirus (COVID-19) diagnosis based on the fusion of CNNs and handcrafted features	44
Artificial intelligence approaches and mechanisms for big data analytics: a systematic study	41
Explainable stock prices prediction from financial news articles using sentiment analysis	41
Data augmentation based malware detection using convolutional neural networks	41
Forecasting Bitcoin closing price series using linear regression and neural networks models	40
To trust or not to trust an explanation: using LEAF to evaluate local linear XAI methods	39
Secure biometric authentication with de-duplication on distributed cloud storage	39
Overview of current state of research on the application of artificial intelligence techniques for COVID-19	38
On GPS spoofing of aerial platforms: a review of threats, challenges, methodologies, and future research directions	36
A systematic literature review on spam content detection and classification	36
A machine learning approach to automatic detection of irregularity in skin lesion border using dermoscopic images	36