Journal of Big Data

Papers
(The median citation count of Journal of Big Data is 6. 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 2022-06-01 to 2026-06-01.)
ArticleCitations
Prognostic stratification based on HIF-1α signaling for evaluating hypoxia status and immune landscape in hepatocellular carcinoma757
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 499
Data provider research overview from a public management perspective: a bibliometric analysis utilizing CiteSpace479
A universal approach for multi-model schema inference475
Context-aware prediction of active and passive user engagement: Evidence from a large online social platform416
FONDUE—Fine-Tuned Optimization: Nurturing Data Usability & Efficiency296
COA_DNN: a hybrid crayfish optimization with deep neural network for detection of rapid eye movement behaviour disorder276
GB-AFS: graph-based automatic feature selection for multi-class classification via Mean Simplified Silhouette227
An architecture for tactical intention recognition of aerial targets based on unsupervised momentum contrast and transformer205
Identification of tumor antigens and anoikis-based molecular subtypes in the hepatocellular carcinoma immune microenvironment: implications for mRNA vaccine development and precision treatment201
Efficient pollen grain classification using pre-trained Convolutional Neural Networks: a comprehensive study191
Gene selection via improved nuclear reaction optimization algorithm for cancer classification in high-dimensional data189
Value-at-risk student prescription trees for price personalization186
Breast cancer prediction using gated attentive multimodal deep learning181
A new dimensionality reduction technique based on the Wavelet Transform for cancer classification149
A proposed hybrid framework to improve the accuracy of customer churn prediction in telecom industry147
An artificial intelligence platform for predicting postoperative complications in metastatic spinal surgery: development and validation study133
Designing and evaluating a big data analytics approach for predicting students’ success factors129
A multi-granular hybrid neural architecture for detecting abusive content in online social networks (OSNs) with contextual awareness119
Integrating deep learning and transfer learning: optimizing white blood cells classification in medical educational institutions112
Comprehensive study of driver behavior monitoring systems using computer vision and machine learning techniques110
Hybrid beluga whale optimization algorithm with multi-strategy for functions and engineering optimization problems110
Domain-relevance of influence: characterizing variations in online influence across multiple domains on social media102
Exploring differential privacy in CNNs, LSTMs, GRUs, and RNNs for heartbeat detection from multimodal data101
An efficient binary spider wasp optimizer for multi-dimensional knapsack instances: experimental validation and analysis99
Enhancing AQI forecasting accuracy: integrating ARIMA, ANN, and regression techniques with the development of HM4AQI web application97
The adaptive community-response (ACR) method for collecting misinformation on social media96
DiabSense: early diagnosis of non-insulin-dependent diabetes mellitus using smartphone-based human activity recognition and diabetic retinopathy analysis with Graph Neural Network95
Big data in human behavior research: a contextual turn92
Survey on terminology extraction from texts90
Artificial intelligence for improving Nitrogen Dioxide forecasting of Abu Dhabi environment agency ground-based stations84
An adaptive k-means clustering algorithm based on grid and domain centroid weights for digital twins in the context of digital transformation81
Deep-Eware: spatio-temporal social event detection using a hybrid learning model76
MFSL-CGA: a multimodal few-shot learning method for time series classification with cross-class guided attention76
A model for investment type recommender system based on the potential investors based on investors and experts feedback using ANFIS and MNN75
Distributed fuzzy clustering algorithm for mixed-mode data in Apache SPARK73
Novel transformer models for wheat disease classification with explainable insights72
Risk and UCON-based access control model for healthcare big data69
Advancing multimodal emotion recognition in big data through prompt engineering and deep adaptive learning68
A unified IoT architectural model for smart hospitals: enhancing interoperability, security, and efficiency through clinical information systems (CIS)68
Artificial intelligence models for prediction of monthly rainfall without climatic data for meteorological stations in Ethiopia65
Review of deep learning methods for remote sensing satellite images classification: experimental survey and comparative analysis63
Social media analysis of Twitter tweets related to ASD in 2019–2020, with particular attention to COVID-19: topic modelling and sentiment analysis62
Developing insights from the collective voice of target users in Twitter60
From distributed machine to distributed deep learning: a comprehensive survey60
Predicting startup success using two bias-free machine learning: resolving data imbalance using generative adversarial networks59
Efficient surface crack segmentation for industrial and civil applications based on an enhanced YOLOv8 model57
Machine learning based customer churn prediction in home appliance rental business56
Novel mathematical model for the classification of music and rhythmic genre using deep neural network56
Contrastive self-supervised representation learning framework for metal surface defect detection55
SMT efficiency in supervised ML methods: a throughput and interference analysis54
Traffic flow prediction based on depthwise separable convolution fusion network54
Disaggregating IMERG satellite precipitation over Czech Republic: an innovative approach using hybrid Extreme Gradient Boosting based on Fuzzy Spatial-Temporal Multivariate Clustering54
GEN-SECHEALTH: an AI-powered generative architecture for self-scalable cybersecurity and flexible data privacy protection in intricate healthcare systems54
Fast agglomerative clustering using approximate traveling salesman solutions53
Blockchain with improved deep residual shrinking network for ensuring cybersecurity in IoT-driven healthcare systems52
Advancing stock price prediction through the development of hybrid ensembles: a comprehensive comparative analysis of machine learning approaches51
Xai-driven knowledge distillation of large language models for efficient deployment on low-resource devices50
Scalable approach for high-resolution land cover: a case study in the Mediterranean Basin50
Hajj pilgrimage abnormal crowd movement monitoring using optical flow and FCNN50
Reinforcement learning whale optimization algorithm-based optimal equivalent circuit models for photovoltaic cells and modules49
Optimizing IoT intrusion detection system: feature selection versus feature extraction in machine learning48
Surface defect detection on bolt surface using a real-time fine-tuned YOLOv6 model47
Short-term photovoltaic power production forecasting based on novel hybrid data-driven models47
Modeling the impact of BDA-AI on sustainable innovation ambidexterity and environmental performance46
Meta-transformer: leveraging metaheuristic algorithms for agricultural commodity price forecasting46
Advancing hospital healthcare: achieving IoT-based secure health monitoring through multilayer machine learning45
Hybrid wrapper feature selection method based on genetic algorithm and extreme learning machine for intrusion detection45
Machine learning-based network intrusion detection for big and imbalanced data using oversampling, stacking feature embedding and feature extraction45
Churn management in hospitality44
Metamorphosing forex: advancements in volatility forecasting using a modified fuzzy time series framework44
Efficient spatial data partitioning for distributed $$k$$NN joins44
Self-organizing maps to evaluate optimal strategies for balancing binary class distributions: a methodological approach43
Multi combination pattern labeling by using deep learning for chameleon rotary machine environment43
Empowering sentiment analysis in social media: a comprehensive approach to enhance the classification of abusive Tamil comments using transformer models43
PoLYTC: a novel BERT-based classifier to detect political leaning of YouTube videos based on their titles42
Air particulate matter (PM2.5) concentration prediction in Kuwait using vision transformer42
Keratin-net: a lightweight self supervised fusion framework for simultaneous classification and localization of keratinization in oral cancer histopathology41
Emotion AWARE: an artificial intelligence framework for adaptable, robust, explainable, and multi-granular emotion analysis41
The use of class imbalanced learning methods on ULSAM data to predict the case–control status in genome-wide association studies41
Optimization of credit marketing strategy based on customer demand and RNN41
CardiaTics: An explainable AI integrated heart disease diagnosis model with feature engineering and stacked ensemble approach40
Machine learning model for malaria risk prediction based on mutation location of large-scale genetic variation data40
Governance and sustainability of distributed continuum systems: a big data approach39
Advanced multilevel feature fusion framework for enhanced image retrieval using convolutional neural network and benchmark datasets39
Helformer: an attention-based deep learning model for cryptocurrency price forecasting39
Comparative analysis of binary and one-class classification techniques for credit card fraud data39
A novel ST-iTransformer model for spatio-temporal ambient air pollution forecasting38
Predicting customer buying habits using convolutional neural network38
Fuzzy deep learning architecture for cucumber plant disease detection and classification38
Enhancing academic performance prediction with temporal graph networks for massive open online courses38
Enhanced ransomware attacks detection using feature selection, sensitivity analysis, and optimized hybrid model37
Enhancing cardiac diagnostics: a deep learning ensemble approach for precise ECG image classification37
Siamese Graph Convolutional Split-Attention Network with NLP based Social Sentimental Data for enhanced stock price predictions37
Determinating clusters with a higher proportion of long-term care discharges from hospitals: a nationwide Portuguese study using clustering and decision tree methods35
Privacy preserved incremental record linkage35
Optimizing group utility in itinerary planning: a strategic and crowd-aware approach35
A patent push method and system based on the product life cycle multi-dimensional classification33
Research on sentiment analysis method of opinion mining based on multi-model fusion transfer learning33
Data augmentation for dense passage retrieval using corpus-passage frequency-based token deletion33
A deep contrastive learning-based image retrieval system for automatic detection of infectious cattle diseases32
Liquid biopsy-based identification of prognostic and immunotherapeutically relevant gene signatures in lower grade glioma32
Optimized fusion of spatio-temporal data for large scale construction project valuation: an attention-fused RNN-GCN model on big investment data32
Data-driven ticket pricing in football: leveraging customer perceived value for revenue optimization32
Comprehensive review of artificial intelligence applications in renewable energy systems: current implementations and emerging trends31
Big Data Analytics-based life cycle sustainability assessment for sustainable manufacturing enterprises evaluation31
Data pipeline approaches in serverless computing: a taxonomy, review, and research trends31
Multi-sample $$\zeta $$-mixup: richer, more realistic synthetic samples from a p-series interpolant31
Generative AI in depth: A survey of recent advances, model variants, and real-world applications31
Uncertainty-aware approach for multiple imputation using conventional and machine learning models: a real-world data study31
HepScope: CNN-based single-cell discrimination of malignant hepatocytes30
A deep learning-based framework for large-scale plant disease detection using big data analytics in precision agriculture30
Deep features fusion for KCF-based moving object tracking30
A novel sub-network level ensemble deep neural network with a regularized loss function to improve prediction performance29
Enhancing data discovery with contextual pre-filtering29
Tumor antigens and immune subtypes of glioblastoma: the fundamentals of mRNA vaccine and individualized immunotherapy development29
Identification of key drought-tolerant genes in soybean using an integrative data-driven feature engineering pipeline29
Optical electrocardiogram based heart disease prediction using hybrid deep learning28
AI crypto trading: multi-class multi-granular analysis for boosting high-frequency trade predictions with fibonacci and hybrid convolutional neural networks28
Online variational Gaussian process for time series data28
Deep learning for component fault detection in electricity transmission lines27
A systematic review on big data applications and scope for industrial processing and healthcare sectors27
Predictive modeling for auto repossession success: a comparative evaluation27
Automatic quality assessment of head CT images using deep learning and linear regression models27
Distinguishing novel coronavirus influenza A virus pneumonia with CT radiomics and clinical features27
Machine learning insight in quality control and maintenance management of drilling mud pumps27
Plant disease detection and classification techniques: a comparative study of the performances26
Text summarization based on semantic graphs: an abstract meaning representation graph-to-text deep learning approach26
Sentiment analysis classification system using hybrid BERT models26
A systematic review of AI-enhanced techniques in credit card fraud detection26
Federated Freeze BERT for text classification26
Quantifying football player value: a novel combined rating and ML ensemble approach for predicting top players26
Data analysis for vague contingency data25
The differences in gastric cancer epidemiological data between SEER and GBD: a joinpoint and age-period-cohort analysis24
Hyperdimensional computing: a framework for stochastic computation and symbolic AI24
Hemorrhage semantic segmentation in fundus images for the diagnosis of diabetic retinopathy by using a convolutional neural network24
NeuroTLEDNet: a novel artificial intelligence with squirrel reptilian optimization (SRO) and TLE-SegNet+ for early detection of temporal lobe epilepsy from medical imaging24
Data reduction techniques for highly imbalanced medicare Big Data24
A machine learning-based credit risk prediction engine system using a stacked classifier and a filter-based feature selection method24
Operationalizing and automating Data Governance24
Evaluation is key: a survey on evaluation measures for synthetic time series24
The evolution of the European football transfer network23
FEL-FRN: fusion ECA long-CLIP feature reconstruction network for few-shot classification23
Block-level masking and feature importance-based adversarial example generation23
Unsupervised hyperspectral image segmentation of films: a hierarchical clustering-based approach22
A fuel consumption-based method for developing local-specific CO2 emission rate database using open-source big data22
Atsa: a novel augmented low-discrepancy sequence initialized tunicate swarm-based exponential local escaping operator for engineering design applications22
Decoding defensive performance: a machine learning approach to football player valuation22
Deep learning enhancing banking services: a hybrid transaction classification and cash flow prediction approach22
Utilizing AI models to identify and predict phase transition patterns of bipolar disorder patients22
Big data processing using hybrid Gaussian mixture model with salp swarm algorithm22
Text-to-video generators: a comprehensive survey22
An enhanced random forest approach using CoClust clustering: MIMIC-III and SMS spam collection application21
Unsupervised label generation for severely imbalanced fraud data21
Extended version of decision making model for industrial robot selection via fractional continuous fuzzy information21
An enhanced machine learning framework for accurate diagnosis of tuberculous pleural effusion21
Venue-aware researcher impact assessment using genetic programming21
Computational co-creation in digital media art: adaptive aesthetic intelligence for interactive visual expression21
Multi strategy Horned Lizard Optimization Algorithm for complex optimization and advanced feature selection problems21
The state of metaverse research: a bibliometric visual analysis based on CiteSpace21
Iterative cleaning and learning of big highly-imbalanced fraud data using unsupervised learning21
De-occlusion and recognition of frontal face images: a comparative study of multiple imputation methods21
Data analysis for sequential contingencies under uncertainty20
Evaluation of predictive performance of modeling hyperuricemia using medical big data: comparison of data preprocessing methods20
Readers’ affect: predicting and understanding readers’ emotions with deep learning20
Combining review elements for modelling various multi-criteria collaborative recommendation models20
Big data: an optimized approach for cluster initialization20
Deep reinforcement learning for job scheduling on load-aware heterogeneous cluster20
An efficient weighted slime mould algorithm for engineering optimization20
Multi-level lag scheme significantly improves training efficiency in deep learning: a case study in air quality alert service over sub-tropical area20
Transfer learning approach based on satellite image time series for the crop classification problem20
Information preservation-based hashing for image retrieval20
Scalable and space-efficient Robust Matroid Center algorithms20
Machine learning-based interactive dynamic resilience assessment for complex hydropower systems20
Towards a deep learning-based outlier detection approach in the context of streaming data19
Comparative evaluation of generative audio models for precise disease classification via sound-based datasets19
An optimized hybrid ensemble machine learning model combining multiple classifiers for detecting advanced persistent threats in networks19
News sentiment analysis using ChatGPT for Bitcoin price dynamics19
Axial compressive behavior of reinforced concrete-filled circular steel tubular columns: finite element and machine learning modelling19
Introducing Mplots: scaling time series recurrence plots to massive datasets19
Main memory controller with multiple media technologies for big data workloads19
RILS-ROLS: robust symbolic regression via iterated local search and ordinary least squares19
Photograph-based machine learning approach for automated detection and differentiation of aerial blight disease in soybean crops18
IGRF-RFE: a hybrid feature selection method for MLP-based network intrusion detection on UNSW-NB15 dataset18
Capturing research literature attitude towards sustainable development goals: an LLM-based topic modeling approach18
Deep reinforcement learning for data-efficient weakly supervised business process anomaly detection18
Intelligent average utility pattern analysis using pre-large concept in dynamic stream data18
Bilingual hate speech detection on social media: Amharic and Afaan Oromo18
A real-time predicting online tool for detection of people’s emotions from Arabic tweets based on big data platforms18
Blind Federated Learning without initial model18
AgriVisionNet: multi-generative adversarial network and Class-Aware MultiScale Vision Transformer for plant disease detection and severity classification18
Breast cancer diagnosis with MFF-HistoNet: a multi-modal feature fusion network integrating CNNs and quantum tensor networks18
Fitcam: detecting and counting repetitive exercises with deep learning17
Learning manifolds from non-stationary streams17
A computational analysis of aspect-based sentiment analysis research through bibliometric mapping and topic modeling17
Integrated multiomics analysis and advanced machine learning techniques to refine molecular subtypes, stratify prognosis, characterize tumor microenvironment, and identify distinct sensitivity pattern17
Enhancing public art communication through emotional intelligence based on type-2 fractional fuzzy sets17
Enhanced EEG-based detection of major depressive disorder using maximum likelihood estimation and machine learning17
Decision support system for handling control decisions and decision-maker related to supply chain17
Application of supervised machine learning models in human emotion classification using Tsallis entropy as a feature17
Leveraging ensemble learning-based stock preselection with multiobjective investment optimization for stepwise decision-supported portfolio management17
Artifact-free fat-water separation in Dixon MRI using deep learning17
Making order from chaos through semantics: a novel method for ontology learning in a cultural heritage scenario16
Task-aware conditional GAN with multi-objective loss for realistic and efficient industrial time series generation16
Student academic performance prediction via hypergraph and TabNet16
Data engineering for sustainable agriculture: developments, challenges, and case studies of a novel IoRT architecture16
Multivariate response directional regression: a projective resampling approach16
Unified platform for storing, retrieving, and analysing biomechanical applications data using graph database16
A bibliometric analysis of the first decade of the Journal of Big Data16
Advanced machine learning techniques for cardiovascular disease early detection and diagnosis16
Exploring AI-driven approaches for unstructured document analysis and future horizons16
AI-driven biomedical perspectives on mental fatigue in the post-COVID-19 Era: trends, research gaps, and future directions16
Optimization-based convolutional neural model for the classification of white blood cells16
Cyberattack detection in wireless sensor networks using a hybrid feature reduction technique with AI and machine learning methods16
The wisdom of the lexicon crowds: leveraging on decades of lexicon-based sentiment analysis for improved results16
An AI-driven multimodal developmental disability detection and intervention framework using enhanced speech and behavioral analysis with BioNeuroFusionNet classification15
Multi-omics Mendelian randomization revealing SEMA7A as potential drug target for facial skin aging15
Application of deep learning technique in next generation sequence experiments15
DLA-E: a deep learning accelerator for endoscopic images classification15
Facial emotion recognition using deep Siamese neural networks: multi-classifier fusion for single-emotion and multi-emotion models across age groups15
Improving the identification of influential nodes in complex networks using semi-local structures and shortest-path-based centralities15
Optimal Markowitz portfolio using returns forecasted with time series and machine learning models15
Guardians of digital safety: benchmarking large language models in the fight against online toxicity15
The community discovery method in heterogeneous networks: a survey15
Awareness routing algorithm in vehicular ad-hoc networks (VANETs)15
A novel approach for detecting deep fake videos using graph neural network15
Retinal photograph-based deep learning system for detection of hyperthyroidism: a multicenter, diagnostic study15
Feature selection strategies: a comparative analysis of SHAP-value and importance-based methods14
Identifying the determinants of soccer coach turnover by competing risks models: a case study on Italian League Serie A14
A multi-manifold learning based instance weighting and under-sampling for imbalanced data classification problems14
Data-driven correlation mapping of H-index and its variants in mathematics14
Robust metaheuristic algorithms with sequential replacement-improved dynamic population for optimizing energy consumption in a UAV-empowered IoT data collection system14
Personalized region of interest recommendation through adaptive fusion of multi-dimensional user preferences14
Toward a smart health: big data analytics and IoT for real-time miscarriage prediction14
Developing a negative speech emotion recognition model for safety systems using deep learning14
Bilingual video captioning model for enhanced video retrieval14
Advances in ECG and PCG-based cardiovascular disease classification: a review of deep learning and machine learning methods14
Unsupervised feature selection and class labeling for credit card fraud14
B-CAT: a model for detecting botnet attacks using deep attack behavior analysis on network traffic flows14
Simulating imprecise data: sine–cosine and convolution methods with neutrosophic normal distribution14
Implementation of novel loss and activation function-based deep network in big data analytics for pattern discovery across multiple data sources14
Architecture for determining the cleanliness in shared vehicles using an integrated machine vision and indoor air quality-monitoring system14
DAPS diagrams for defining Data Science projects13
Survey of transformers and towards ensemble learning using transformers for natural language processing13
Adapting transformer-based language models for heart disease detection and risk factors extraction13
A toolbox for volleyball data analytics: a case study on the italian women’s league13
Trends in real-time artificial intelligence methods in sports: a systematic review13
Investigating the role of conversational agents in augmented cultural heritage tours13
Identifying key genetic variants in Alzheimer’s disease progression using Graph Convolutional Networks (GCN) and biological impact analysis13
CMMamba: channel mixing Mamba for time series forecasting13
0.39390301704407