OOIR: Observatory of International Research

Papers

(The H4-Index of Journal of Big Data is 57. 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 2022-08-01 to 2026-08-01.)

Article	Citations
Prognostic stratification based on HIF-1α signaling for evaluating hypoxia status and immune landscape in hepatocellular carcinoma	833
Long-term survival prediction in patients with acute brain lesions using ensemble machine learning algorithms: a cohort study with combined national health insurance service and its self-run hospital	571
Data provider research overview from a public management perspective: a bibliometric analysis utilizing CiteSpace	551
A universal approach for multi-model schema inference	509
FONDUE—Fine-Tuned Optimization: Nurturing Data Usability & Efficiency	473
COA_DNN: a hybrid crayfish optimization with deep neural network for detection of rapid eye movement behaviour disorder	330
An architecture for tactical intention recognition of aerial targets based on unsupervised momentum contrast and transformer	288
Identification of tumor antigens and anoikis-based molecular subtypes in the hepatocellular carcinoma immune microenvironment: implications for mRNA vaccine development and precision treatment	259
Value-at-risk student prescription trees for price personalization	231
Domain-relevance of influence: characterizing variations in online influence across multiple domains on social media	214
Gene selection via improved nuclear reaction optimization algorithm for cancer classification in high-dimensional data	208
GB-AFS: graph-based automatic feature selection for multi-class classification via Mean Simplified Silhouette	206
Context-aware prediction of active and passive user engagement: Evidence from a large online social platform	202
A new dimensionality reduction technique based on the Wavelet Transform for cancer classification	195
A multi-granular hybrid neural architecture for detecting abusive content in online social networks (OSNs) with contextual awareness	170
An artificial intelligence platform for predicting postoperative complications in metastatic spinal surgery: development and validation study	170
Comprehensive study of driver behavior monitoring systems using computer vision and machine learning techniques	156
Breast cancer prediction using gated attentive multimodal deep learning	140
Hybrid beluga whale optimization algorithm with multi-strategy for functions and engineering optimization problems	126
Designing and evaluating a big data analytics approach for predicting students’ success factors	124
Integrating deep learning and transfer learning: optimizing white blood cells classification in medical educational institutions	123
Efficient pollen grain classification using pre-trained Convolutional Neural Networks: a comprehensive study	117
A proposed hybrid framework to improve the accuracy of customer churn prediction in telecom industry	112
An efficient binary spider wasp optimizer for multi-dimensional knapsack instances: experimental validation and analysis	110
The adaptive community-response (ACR) method for collecting misinformation on social media	108

DiabSense: early diagnosis of non-insulin-dependent diabetes mellitus using smartphone-based human activity recognition and diabetic retinopathy analysis with Graph Neural Network	104
Big data in human behavior research: a contextual turn	104
A model for investment type recommender system based on the potential investors based on investors and experts feedback using ANFIS and MNN	102
An adaptive k-means clustering algorithm based on grid and domain centroid weights for digital twins in the context of digital transformation	102
Distributed fuzzy clustering algorithm for mixed-mode data in Apache SPARK	98
Risk and UCON-based access control model for healthcare big data	97
SHieLD: a personalized local differential privacy framework for continual reports	89
Artificial intelligence for improving Nitrogen Dioxide forecasting of Abu Dhabi environment agency ground-based stations	89
MKDRec: a multi-source knowledge distillation framework by mitigating data sparsity for on-device recommendation	85
Enhancing AQI forecasting accuracy: integrating ARIMA, ANN, and regression techniques with the development of HM4AQI web application	84
LLM-augmented multimodal radar reflectivity retrieval with cross-satellite transfer learning	82
Novel transformer models for wheat disease classification with explainable insights	82
MFSL-CGA: a multimodal few-shot learning method for time series classification with cross-class guided attention	77
Artificial intelligence models for prediction of monthly rainfall without climatic data for meteorological stations in Ethiopia	77
Exploring differential privacy in CNNs, LSTMs, GRUs, and RNNs for heartbeat detection from multimodal data	76
Advancing multimodal emotion recognition in big data through prompt engineering and deep adaptive learning	76
Survey on terminology extraction from texts	70
AI as research assistant, not an inventor: best practices for AI-assisted innovation and patent development	69
Social media analysis of Twitter tweets related to ASD in 2019–2020, with particular attention to COVID-19: topic modelling and sentiment analysis	69
Customizing and fine-tuning opioid overdose machine learning models for community-specific dashboards	67
Review of deep learning methods for remote sensing satellite images classification: experimental survey and comparative analysis	65
A unified IoT architectural model for smart hospitals: enhancing interoperability, security, and efficiency through clinical information systems (CIS)	64
Lightweight CNN-Transformer complementary network for large-scale analysis: semantic alignment of heterogeneous multi-modal features	63
Advancing hospital healthcare: achieving IoT-based secure health monitoring through multilayer machine learning	63
Novel mathematical model for the classification of music and rhythmic genre using deep neural network	62
Contrastive self-supervised representation learning framework for metal surface defect detection	62
Efficient surface crack segmentation for industrial and civil applications based on an enhanced YOLOv8 model	62
Disaggregating IMERG satellite precipitation over Czech Republic: an innovative approach using hybrid Extreme Gradient Boosting based on Fuzzy Spatial-Temporal Multivariate Clustering	59
Blockchain with improved deep residual shrinking network for ensuring cybersecurity in IoT-driven healthcare systems	58
Fast agglomerative clustering using approximate traveling salesman solutions	58
SMT efficiency in supervised ML methods: a throughput and interference analysis	58
Scalable approach for high-resolution land cover: a case study in the Mediterranean Basin	57
Machine learning based customer churn prediction in home appliance rental business	57