Journal of Big Data

Papers
(The TQCC of Journal of Big Data is 18. 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.)
ArticleCitations
Prognostic stratification based on HIF-1α signaling for evaluating hypoxia status and immune landscape in hepatocellular carcinoma833
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 CiteSpace551
A universal approach for multi-model schema inference509
FONDUE—Fine-Tuned Optimization: Nurturing Data Usability & Efficiency473
COA_DNN: a hybrid crayfish optimization with deep neural network for detection of rapid eye movement behaviour disorder330
An architecture for tactical intention recognition of aerial targets based on unsupervised momentum contrast and transformer288
Identification of tumor antigens and anoikis-based molecular subtypes in the hepatocellular carcinoma immune microenvironment: implications for mRNA vaccine development and precision treatment259
Value-at-risk student prescription trees for price personalization231
Domain-relevance of influence: characterizing variations in online influence across multiple domains on social media214
Gene selection via improved nuclear reaction optimization algorithm for cancer classification in high-dimensional data208
GB-AFS: graph-based automatic feature selection for multi-class classification via Mean Simplified Silhouette206
Context-aware prediction of active and passive user engagement: Evidence from a large online social platform202
A new dimensionality reduction technique based on the Wavelet Transform for cancer classification195
A multi-granular hybrid neural architecture for detecting abusive content in online social networks (OSNs) with contextual awareness170
An artificial intelligence platform for predicting postoperative complications in metastatic spinal surgery: development and validation study170
Comprehensive study of driver behavior monitoring systems using computer vision and machine learning techniques156
Breast cancer prediction using gated attentive multimodal deep learning140
Hybrid beluga whale optimization algorithm with multi-strategy for functions and engineering optimization problems126
Designing and evaluating a big data analytics approach for predicting students’ success factors124
Integrating deep learning and transfer learning: optimizing white blood cells classification in medical educational institutions123
Efficient pollen grain classification using pre-trained Convolutional Neural Networks: a comprehensive study117
A proposed hybrid framework to improve the accuracy of customer churn prediction in telecom industry112
An efficient binary spider wasp optimizer for multi-dimensional knapsack instances: experimental validation and analysis110
The adaptive community-response (ACR) method for collecting misinformation on social media108
Big data in human behavior research: a contextual turn104
DiabSense: early diagnosis of non-insulin-dependent diabetes mellitus using smartphone-based human activity recognition and diabetic retinopathy analysis with Graph Neural Network104
A model for investment type recommender system based on the potential investors based on investors and experts feedback using ANFIS and MNN102
An adaptive k-means clustering algorithm based on grid and domain centroid weights for digital twins in the context of digital transformation102
Distributed fuzzy clustering algorithm for mixed-mode data in Apache SPARK98
Risk and UCON-based access control model for healthcare big data97
Artificial intelligence for improving Nitrogen Dioxide forecasting of Abu Dhabi environment agency ground-based stations89
SHieLD: a personalized local differential privacy framework for continual reports89
MKDRec: a multi-source knowledge distillation framework by mitigating data sparsity for on-device recommendation85
Enhancing AQI forecasting accuracy: integrating ARIMA, ANN, and regression techniques with the development of HM4AQI web application84
Novel transformer models for wheat disease classification with explainable insights82
LLM-augmented multimodal radar reflectivity retrieval with cross-satellite transfer learning82
Artificial intelligence models for prediction of monthly rainfall without climatic data for meteorological stations in Ethiopia77
MFSL-CGA: a multimodal few-shot learning method for time series classification with cross-class guided attention77
Exploring differential privacy in CNNs, LSTMs, GRUs, and RNNs for heartbeat detection from multimodal data76
Advancing multimodal emotion recognition in big data through prompt engineering and deep adaptive learning76
Survey on terminology extraction from texts70
Social media analysis of Twitter tweets related to ASD in 2019–2020, with particular attention to COVID-19: topic modelling and sentiment analysis69
AI as research assistant, not an inventor: best practices for AI-assisted innovation and patent development69
Customizing and fine-tuning opioid overdose machine learning models for community-specific dashboards67
Review of deep learning methods for remote sensing satellite images classification: experimental survey and comparative analysis65
A unified IoT architectural model for smart hospitals: enhancing interoperability, security, and efficiency through clinical information systems (CIS)64
Advancing hospital healthcare: achieving IoT-based secure health monitoring through multilayer machine learning63
Lightweight CNN-Transformer complementary network for large-scale analysis: semantic alignment of heterogeneous multi-modal features63
Efficient surface crack segmentation for industrial and civil applications based on an enhanced YOLOv8 model62
Novel mathematical model for the classification of music and rhythmic genre using deep neural network62
Contrastive self-supervised representation learning framework for metal surface defect detection62
Disaggregating IMERG satellite precipitation over Czech Republic: an innovative approach using hybrid Extreme Gradient Boosting based on Fuzzy Spatial-Temporal Multivariate Clustering59
Fast agglomerative clustering using approximate traveling salesman solutions58
SMT efficiency in supervised ML methods: a throughput and interference analysis58
Blockchain with improved deep residual shrinking network for ensuring cybersecurity in IoT-driven healthcare systems58
Scalable approach for high-resolution land cover: a case study in the Mediterranean Basin57
Machine learning based customer churn prediction in home appliance rental business57
From distributed machine to distributed deep learning: a comprehensive survey56
Short-term photovoltaic power production forecasting based on novel hybrid data-driven models56
GEN-SECHEALTH: an AI-powered generative architecture for self-scalable cybersecurity and flexible data privacy protection in intricate healthcare systems56
Hajj pilgrimage abnormal crowd movement monitoring using optical flow and FCNN56
Advancing stock price prediction through the development of hybrid ensembles: a comprehensive comparative analysis of machine learning approaches55
Hybrid wrapper feature selection method based on genetic algorithm and extreme learning machine for intrusion detection55
Reinforcement learning whale optimization algorithm-based optimal equivalent circuit models for photovoltaic cells and modules54
Predicting startup success using two bias-free machine learning: resolving data imbalance using generative adversarial networks54
Meta-transformer: leveraging metaheuristic algorithms for agricultural commodity price forecasting52
Xai-driven knowledge distillation of large language models for efficient deployment on low-resource devices52
Machine learning-based network intrusion detection for big and imbalanced data using oversampling, stacking feature embedding and feature extraction51
Optimizing IoT intrusion detection system: feature selection versus feature extraction in machine learning51
Metamorphosing forex: advancements in volatility forecasting using a modified fuzzy time series framework50
Surface defect detection on bolt surface using a real-time fine-tuned YOLOv6 model50
Modeling the impact of BDA-AI on sustainable innovation ambidexterity and environmental performance50
Multi combination pattern labeling by using deep learning for chameleon rotary machine environment49
PoLYTC: a novel BERT-based classifier to detect political leaning of YouTube videos based on their titles48
Self-organizing maps to evaluate optimal strategies for balancing binary class distributions: a methodological approach48
Siamese Graph Convolutional Split-Attention Network with NLP based Social Sentimental Data for enhanced stock price predictions48
Comparative analysis of binary and one-class classification techniques for credit card fraud data46
Keratin-net: a lightweight self supervised fusion framework for simultaneous classification and localization of keratinization in oral cancer histopathology45
The use of class imbalanced learning methods on ULSAM data to predict the case–control status in genome-wide association studies45
Air particulate matter (PM2.5) concentration prediction in Kuwait using vision transformer44
Enhancing academic performance prediction with temporal graph networks for massive open online courses44
Optimization of credit marketing strategy based on customer demand and RNN44
Robust music recommendation in sparse data environment with edge-assisted similarity analysis43
CardiaTics: An explainable AI integrated heart disease diagnosis model with feature engineering and stacked ensemble approach43
Advanced multilevel feature fusion framework for enhanced image retrieval using convolutional neural network and benchmark datasets43
Enhancing cardiac diagnostics: a deep learning ensemble approach for precise ECG image classification43
Empowering sentiment analysis in social media: a comprehensive approach to enhance the classification of abusive Tamil comments using transformer models42
Predicting customer buying habits using convolutional neural network41
Governance and sustainability of distributed continuum systems: a big data approach40
Emotion AWARE: an artificial intelligence framework for adaptable, robust, explainable, and multi-granular emotion analysis40
Churn management in hospitality38
Discovering skill synergy patterns from employment data using bitwise inverted frequent itemset mining38
Helformer: an attention-based deep learning model for cryptocurrency price forecasting38
A novel ST-iTransformer model for spatio-temporal ambient air pollution forecasting37
Fuzzy deep learning architecture for cucumber plant disease detection and classification37
Optimizing group utility in itinerary planning: a strategic and crowd-aware approach36
Enhanced ransomware attacks detection using feature selection, sensitivity analysis, and optimized hybrid model36
Liquid biopsy-based identification of prognostic and immunotherapeutically relevant gene signatures in lower grade glioma35
Data-driven ticket pricing in football: leveraging customer perceived value for revenue optimization35
Determinating clusters with a higher proportion of long-term care discharges from hospitals: a nationwide Portuguese study using clustering and decision tree methods34
A deep contrastive learning-based image retrieval system for automatic detection of infectious cattle diseases34
A patent push method and system based on the product life cycle multi-dimensional classification34
Deep features fusion for KCF-based moving object tracking34
Research on sentiment analysis method of opinion mining based on multi-model fusion transfer learning34
Data augmentation for dense passage retrieval using corpus-passage frequency-based token deletion33
Privacy preserved incremental record linkage33
Multi-sample $$\zeta $$-mixup: richer, more realistic synthetic samples from a p-series interpolant33
Big Data Analytics-based life cycle sustainability assessment for sustainable manufacturing enterprises evaluation33
Uncertainty-aware approach for multiple imputation using conventional and machine learning models: a real-world data study32
A deep learning-based framework for large-scale plant disease detection using big data analytics in precision agriculture32
Data pipeline approaches in serverless computing: a taxonomy, review, and research trends32
Generative AI in depth: A survey of recent advances, model variants, and real-world applications32
Optimized fusion of spatio-temporal data for large scale construction project valuation: an attention-fused RNN-GCN model on big investment data32
Enhancing data discovery with contextual pre-filtering31
Machine learning insight in quality control and maintenance management of drilling mud pumps31
A novel sub-network level ensemble deep neural network with a regularized loss function to improve prediction performance31
Online variational Gaussian process for time series data31
HepScope: CNN-based single-cell discrimination of malignant hepatocytes31
Comprehensive review of artificial intelligence applications in renewable energy systems: current implementations and emerging trends31
Identification of key drought-tolerant genes in soybean using an integrative data-driven feature engineering pipeline30
Federated Freeze BERT for text classification30
Distinguishing novel coronavirus influenza A virus pneumonia with CT radiomics and clinical features30
Quantifying football player value: a novel combined rating and ML ensemble approach for predicting top players30
AI crypto trading: multi-class multi-granular analysis for boosting high-frequency trade predictions with fibonacci and hybrid convolutional neural networks29
An efficient joint evolutionary algorithm-based neural network model for air quality prediction29
A systematic review on big data applications and scope for industrial processing and healthcare sectors29
Optical electrocardiogram based heart disease prediction using hybrid deep learning29
From K-means to LLM-augmented pipelines: a critical survey and taxonomy for biomedical big data29
Text summarization based on semantic graphs: an abstract meaning representation graph-to-text deep learning approach29
Automatic quality assessment of head CT images using deep learning and linear regression models29
Predictive modeling for auto repossession success: a comparative evaluation29
Plant disease detection and classification techniques: a comparative study of the performances28
Utilizing AI models to identify and predict phase transition patterns of bipolar disorder patients28
Block-level masking and feature importance-based adversarial example generation28
A systematic review of AI-enhanced techniques in credit card fraud detection28
Data analysis for vague contingency data28
An enhanced machine learning framework for accurate diagnosis of tuberculous pleural effusion28
Sentiment analysis classification system using hybrid BERT models28
The differences in gastric cancer epidemiological data between SEER and GBD: a joinpoint and age-period-cohort analysis28
FEL-FRN: fusion ECA long-CLIP feature reconstruction network for few-shot classification28
Extended version of decision making model for industrial robot selection via fractional continuous fuzzy information27
Unsupervised label generation for severely imbalanced fraud data26
An enhanced random forest approach using CoClust clustering: MIMIC-III and SMS spam collection application26
Venue-aware researcher impact assessment using genetic programming26
Operationalizing and automating Data Governance26
De-occlusion and recognition of frontal face images: a comparative study of multiple imputation methods26
Big data processing using hybrid Gaussian mixture model with salp swarm algorithm26
NeuroTLEDNet: a novel artificial intelligence with squirrel reptilian optimization (SRO) and TLE-SegNet+ for early detection of temporal lobe epilepsy from medical imaging25
Data reduction techniques for highly imbalanced medicare Big Data25
A fuel consumption-based method for developing local-specific CO2 emission rate database using open-source big data24
Deep learning enhancing banking services: a hybrid transaction classification and cash flow prediction approach24
Unsupervised hyperspectral image segmentation of films: a hierarchical clustering-based approach24
Atsa: a novel augmented low-discrepancy sequence initialized tunicate swarm-based exponential local escaping operator for engineering design applications24
Text-to-video generators: a comprehensive survey24
The state of metaverse research: a bibliometric visual analysis based on CiteSpace24
Computational co-creation in digital media art: adaptive aesthetic intelligence for interactive visual expression24
The evolution of the European football transfer network24
Hyperdimensional computing: a framework for stochastic computation and symbolic AI23
Iterative cleaning and learning of big highly-imbalanced fraud data using unsupervised learning23
Evaluation is key: a survey on evaluation measures for synthetic time series23
Decoding defensive performance: a machine learning approach to football player valuation23
A machine learning-based credit risk prediction engine system using a stacked classifier and a filter-based feature selection method22
Scalable and space-efficient Robust Matroid Center algorithms22
A real-time predicting online tool for detection of people’s emotions from Arabic tweets based on big data platforms22
Information preservation-based hashing for image retrieval22
Data analysis for sequential contingencies under uncertainty22
Comparative evaluation of generative audio models for precise disease classification via sound-based datasets22
Multi strategy Horned Lizard Optimization Algorithm for complex optimization and advanced feature selection problems22
Evaluation of predictive performance of modeling hyperuricemia using medical big data: comparison of data preprocessing methods22
Big data: an optimized approach for cluster initialization22
Multi-level lag scheme significantly improves training efficiency in deep learning: a case study in air quality alert service over sub-tropical area22
Combining review elements for modelling various multi-criteria collaborative recommendation models21
Towards a deep learning-based outlier detection approach in the context of streaming data21
Bilingual hate speech detection on social media: Amharic and Afaan Oromo21
Axial compressive behavior of reinforced concrete-filled circular steel tubular columns: finite element and machine learning modelling21
Deep reinforcement learning for data-efficient weakly supervised business process anomaly detection21
Introducing Mplots: scaling time series recurrence plots to massive datasets21
Main memory controller with multiple media technologies for big data workloads21
RILS-ROLS: robust symbolic regression via iterated local search and ordinary least squares21
News sentiment analysis using ChatGPT for Bitcoin price dynamics21
Machine learning-based interactive dynamic resilience assessment for complex hydropower systems21
Bayesian dynamic Bradley-Terry model with commensurate spike-and-slab priors21
IGRF-RFE: a hybrid feature selection method for MLP-based network intrusion detection on UNSW-NB15 dataset20
AgriVisionNet: multi-generative adversarial network and Class-Aware MultiScale Vision Transformer for plant disease detection and severity classification20
Transfer learning approach based on satellite image time series for the crop classification problem20
An efficient weighted slime mould algorithm for engineering optimization20
Deep reinforcement learning for job scheduling on load-aware heterogeneous cluster20
Breast cancer diagnosis with MFF-HistoNet: a multi-modal feature fusion network integrating CNNs and quantum tensor networks20
Capturing research literature attitude towards sustainable development goals: an LLM-based topic modeling approach20
An optimized hybrid ensemble machine learning model combining multiple classifiers for detecting advanced persistent threats in networks20
Blind Federated Learning without initial model19
Enhanced EEG-based detection of major depressive disorder using maximum likelihood estimation and machine learning19
Fitcam: detecting and counting repetitive exercises with deep learning19
Artifact-free fat-water separation in Dixon MRI using deep learning19
Learning manifolds from non-stationary streams19
Photograph-based machine learning approach for automated detection and differentiation of aerial blight disease in soybean crops19
Student academic performance prediction via hypergraph and TabNet19
Application of supervised machine learning models in human emotion classification using Tsallis entropy as a feature19
Intelligent average utility pattern analysis using pre-large concept in dynamic stream data19
Enhancing public art communication through emotional intelligence based on type-2 fractional fuzzy sets19
A computational analysis of aspect-based sentiment analysis research through bibliometric mapping and topic modeling19
Integrated multiomics analysis and advanced machine learning techniques to refine molecular subtypes, stratify prognosis, characterize tumor microenvironment, and identify distinct sensitivity pattern18
Decision support system for handling control decisions and decision-maker related to supply chain18
Advanced machine learning techniques for cardiovascular disease early detection and diagnosis18
Cyberattack detection in wireless sensor networks using a hybrid feature reduction technique with AI and machine learning methods18
Reinforce the particle swarm optimization with variable neighborhood search for the influence maximization problem in social networks18
The wisdom of the lexicon crowds: leveraging on decades of lexicon-based sentiment analysis for improved results18
Data engineering for sustainable agriculture: developments, challenges, and case studies of a novel IoRT architecture18
Exploring AI-driven approaches for unstructured document analysis and future horizons18
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