Journal of Big Data

Papers
(The median citation count of Journal of Big Data is 5. 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 2021-11-01 to 2025-11-01.)
ArticleCitations
Prognostic stratification based on HIF-1α signaling for evaluating hypoxia status and immune landscape in hepatocellular carcinoma524
Domain-relevance of influence: characterizing variations in online influence across multiple domains on social media380
Integrating deep learning and transfer learning: optimizing white blood cells classification in medical educational institutions369
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 338
An artificial intelligence platform for predicting postoperative complications in metastatic spinal surgery: development and validation study264
A universal approach for multi-model schema inference230
Defining user spectra to classify Ethereum users based on their behavior224
Designing and evaluating a big data analytics approach for predicting students’ success factors221
Value-at-risk student prescription trees for price personalization195
GB-AFS: graph-based automatic feature selection for multi-class classification via Mean Simplified Silhouette186
Context-aware prediction of active and passive user engagement: Evidence from a large online social platform179
Comprehensive study of driver behavior monitoring systems using computer vision and machine learning techniques156
Identification of tumor antigens and anoikis-based molecular subtypes in the hepatocellular carcinoma immune microenvironment: implications for mRNA vaccine development and precision treatment142
FONDUE—Fine-Tuned Optimization: Nurturing Data Usability & Efficiency138
Gene selection via improved nuclear reaction optimization algorithm for cancer classification in high-dimensional data135
Efficient pollen grain classification using pre-trained Convolutional Neural Networks: a comprehensive study132
A proposed hybrid framework to improve the accuracy of customer churn prediction in telecom industry123
The stability of different aggregation techniques in ensemble feature selection122
Breast cancer prediction using gated attentive multimodal deep learning121
A new dimensionality reduction technique based on the Wavelet Transform for cancer classification120
Hybrid beluga whale optimization algorithm with multi-strategy for functions and engineering optimization problems115
An adaptive k-means clustering algorithm based on grid and domain centroid weights for digital twins in the context of digital transformation111
Big data in human behavior research: a contextual turn111
Exploring differential privacy in CNNs, LSTMs, GRUs, and RNNs for heartbeat detection from multimodal data109
Pre-trained transformer-based language models for Sundanese87
Traffic and road conditions monitoring system using extracted information from Twitter86
Artificial intelligence for improving Nitrogen Dioxide forecasting of Abu Dhabi environment agency ground-based stations86
A unified IoT architectural model for smart hospitals: enhancing interoperability, security, and efficiency through clinical information systems (CIS)85
The adaptive community-response (ACR) method for collecting misinformation on social media82
Social media analysis of Twitter tweets related to ASD in 2019–2020, with particular attention to COVID-19: topic modelling and sentiment analysis81
Deep-Eware: spatio-temporal social event detection using a hybrid learning model77
DiabSense: early diagnosis of non-insulin-dependent diabetes mellitus using smartphone-based human activity recognition and diabetic retinopathy analysis with Graph Neural Network76
Survey on terminology extraction from texts76
A model for investment type recommender system based on the potential investors based on investors and experts feedback using ANFIS and MNN76
Risk and UCON-based access control model for healthcare big data72
An efficient binary spider wasp optimizer for multi-dimensional knapsack instances: experimental validation and analysis71
Distributed fuzzy clustering algorithm for mixed-mode data in Apache SPARK70
Advancing multimodal emotion recognition in big data through prompt engineering and deep adaptive learning68
Artificial intelligence models for prediction of monthly rainfall without climatic data for meteorological stations in Ethiopia67
Machine learning techniques to predict daily rainfall amount64
The use of Big Data Analytics in healthcare62
Review of deep learning methods for remote sensing satellite images classification: experimental survey and comparative analysis61
Surface defect detection on bolt surface using a real-time fine-tuned YOLOv6 model60
SMT efficiency in supervised ML methods: a throughput and interference analysis60
Developing insights from the collective voice of target users in Twitter58
Xai-driven knowledge distillation of large language models for efficient deployment on low-resource devices55
Meta-transformer: leveraging metaheuristic algorithms for agricultural commodity price forecasting54
Machine learning based customer churn prediction in home appliance rental business52
Traffic flow prediction based on depthwise separable convolution fusion network52
Hajj pilgrimage abnormal crowd movement monitoring using optical flow and FCNN51
Predicting startup success using two bias-free machine learning: resolving data imbalance using generative adversarial networks51
Contrastive self-supervised representation learning framework for metal surface defect detection47
Disaggregating IMERG satellite precipitation over Czech Republic: an innovative approach using hybrid Extreme Gradient Boosting based on Fuzzy Spatial-Temporal Multivariate Clustering47
Novel mathematical model for the classification of music and rhythmic genre using deep neural network47
Scalable approach for high-resolution land cover: a case study in the Mediterranean Basin46
Advancing stock price prediction through the development of hybrid ensembles: a comprehensive comparative analysis of machine learning approaches45
IoT information theft prediction using ensemble feature selection45
Fast agglomerative clustering using approximate traveling salesman solutions45
Short-term photovoltaic power production forecasting based on novel hybrid data-driven models45
From distributed machine to distributed deep learning: a comprehensive survey45
Hybrid wrapper feature selection method based on genetic algorithm and extreme learning machine for intrusion detection45
Advancing hospital healthcare: achieving IoT-based secure health monitoring through multilayer machine learning45
Modeling the impact of BDA-AI on sustainable innovation ambidexterity and environmental performance44
Part of speech tagging: a systematic review of deep learning and machine learning approaches43
Efficient surface crack segmentation for industrial and civil applications based on an enhanced YOLOv8 model43
Air-pollution prediction in smart city, deep learning approach42
Machine learning-based network intrusion detection for big and imbalanced data using oversampling, stacking feature embedding and feature extraction41
Optimizing IoT intrusion detection system: feature selection versus feature extraction in machine learning41
Transforming OpenAPI Specification 3.0 documents into RDF-based semantic web services40
Empowering sentiment analysis in social media: a comprehensive approach to enhance the classification of abusive Tamil comments using transformer models38
PoLYTC: a novel BERT-based classifier to detect political leaning of YouTube videos based on their titles37
Efficient spatial data partitioning for distributed $$k$$NN joins37
The use of class imbalanced learning methods on ULSAM data to predict the case–control status in genome-wide association studies37
Emotion AWARE: an artificial intelligence framework for adaptable, robust, explainable, and multi-granular emotion analysis36
Churn management in hospitality36
A novel ST-iTransformer model for spatio-temporal ambient air pollution forecasting36
Enhancing cardiac diagnostics: a deep learning ensemble approach for precise ECG image classification36
Multi combination pattern labeling by using deep learning for chameleon rotary machine environment36
Governance and sustainability of distributed continuum systems: a big data approach35
Self-organizing maps to evaluate optimal strategies for balancing binary class distributions: a methodological approach35
Machine learning model for malaria risk prediction based on mutation location of large-scale genetic variation data34
Fuzzy deep learning architecture for cucumber plant disease detection and classification34
Siamese Graph Convolutional Split-Attention Network with NLP based Social Sentimental Data for enhanced stock price predictions33
Enhancing academic performance prediction with temporal graph networks for massive open online courses33
Comparative analysis of binary and one-class classification techniques for credit card fraud data33
Advanced multilevel feature fusion framework for enhanced image retrieval using convolutional neural network and benchmark datasets33
Metamorphosing forex: advancements in volatility forecasting using a modified fuzzy time series framework33
Image captioning model using attention and object features to mimic human image understanding32
Integration of image segmentation and fuzzy theory to improve the accuracy of damage detection areas in traffic accidents31
Helformer: an attention-based deep learning model for cryptocurrency price forecasting31
Multi-sample $$\zeta $$-mixup: richer, more realistic synthetic samples from a p-series interpolant31
Privacy preserved incremental record linkage31
Data pipeline approaches in serverless computing: a taxonomy, review, and research trends30
Ramifications of incorrect image segmentations; emphasizing on the potential effects on deep learning methods failure30
Adaptive multiple imputations of missing values using the class center29
A deep learning-based framework for large-scale plant disease detection using big data analytics in precision agriculture29
A deep contrastive learning-based image retrieval system for automatic detection of infectious cattle diseases28
Deep features fusion for KCF-based moving object tracking28
Liquid biopsy-based identification of prognostic and immunotherapeutically relevant gene signatures in lower grade glioma27
Comprehensive review of artificial intelligence applications in renewable energy systems: current implementations and emerging trends26
Determinating clusters with a higher proportion of long-term care discharges from hospitals: a nationwide Portuguese study using clustering and decision tree methods26
Uncertainty-aware approach for multiple imputation using conventional and machine learning models: a real-world data study26
Big Data Analytics-based life cycle sustainability assessment for sustainable manufacturing enterprises evaluation26
Research on sentiment analysis method of opinion mining based on multi-model fusion transfer learning26
Data augmentation for dense passage retrieval using corpus-passage frequency-based token deletion26
Generative AI in depth: A survey of recent advances, model variants, and real-world applications26
HepScope: CNN-based single-cell discrimination of malignant hepatocytes25
Opinion mining for national security: techniques, domain applications, challenges and research opportunities25
Optimizing group utility in itinerary planning: a strategic and crowd-aware approach25
Distinguishing novel coronavirus influenza A virus pneumonia with CT radiomics and clinical features24
Online variational Gaussian process for time series data24
Identification of key drought-tolerant genes in soybean using an integrative data-driven feature engineering pipeline24
Sentiment analysis classification system using hybrid BERT models23
A novel sub-network level ensemble deep neural network with a regularized loss function to improve prediction performance23
Text summarization based on semantic graphs: an abstract meaning representation graph-to-text deep learning approach23
Deep learning for component fault detection in electricity transmission lines23
Optical electrocardiogram based heart disease prediction using hybrid deep learning23
A systematic review of AI-enhanced techniques in credit card fraud detection23
Federated Freeze BERT for text classification23
Stress detection using natural language processing and machine learning over social interactions23
Tumor antigens and immune subtypes of glioblastoma: the fundamentals of mRNA vaccine and individualized immunotherapy development23
A systematic review on big data applications and scope for industrial processing and healthcare sectors23
Iterative cleaning and learning of big highly-imbalanced fraud data using unsupervised learning22
Plant disease detection and classification techniques: a comparative study of the performances22
The differences in gastric cancer epidemiological data between SEER and GBD: a joinpoint and age-period-cohort analysis22
Spatial heterogeneities in acute lower respiratory infections prevalence and determinants across Ethiopian administrative zones22
Data analysis for vague contingency data22
Multi strategy Horned Lizard Optimization Algorithm for complex optimization and advanced feature selection problems21
De-occlusion and recognition of frontal face images: a comparative study of multiple imputation methods21
Extended version of decision making model for industrial robot selection via fractional continuous fuzzy information21
Utilizing AI models to identify and predict phase transition patterns of bipolar disorder patients21
Hyperdimensional computing: a framework for stochastic computation and symbolic AI21
FEL-FRN: fusion ECA long-CLIP feature reconstruction network for few-shot classification21
An enhanced random forest approach using CoClust clustering: MIMIC-III and SMS spam collection application21
Evaluation is key: a survey on evaluation measures for synthetic time series20
A machine learning-based credit risk prediction engine system using a stacked classifier and a filter-based feature selection method20
Operationalizing and automating Data Governance20
An enhanced machine learning framework for accurate diagnosis of tuberculous pleural effusion20
Big data processing using hybrid Gaussian mixture model with salp swarm algorithm20
Unsupervised label generation for severely imbalanced fraud data20
A fuel consumption-based method for developing local-specific CO2 emission rate database using open-source big data20
The state of metaverse research: a bibliometric visual analysis based on CiteSpace20
Data reduction techniques for highly imbalanced medicare Big Data20
Main memory controller with multiple media technologies for big data workloads19
Unsupervised hyperspectral image segmentation of films: a hierarchical clustering-based approach19
Hemorrhage semantic segmentation in fundus images for the diagnosis of diabetic retinopathy by using a convolutional neural network19
An optimized hybrid ensemble machine learning model combining multiple classifiers for detecting advanced persistent threats in networks19
Deep learning enhancing banking services: a hybrid transaction classification and cash flow prediction approach19
Introducing Mplots: scaling time series recurrence plots to massive datasets18
A real-time predicting online tool for detection of people’s emotions from Arabic tweets based on big data platforms18
Potential for the use of large unstructured data resources by public innovation support institutions18
Bilingual hate speech detection on social media: Amharic and Afaan Oromo18
Accelerating neural network training with distributed asynchronous and selective optimization (DASO)18
Transfer learning approach based on satellite image time series for the crop classification problem18
Deep reinforcement learning for data-efficient weakly supervised business process anomaly detection18
Machine learning-based turbulence-risk prediction method for the safe operation of aircrafts18
Towards a deep learning-based outlier detection approach in the context of streaming data18
Data analysis for sequential contingencies under uncertainty18
Scalable and space-efficient Robust Matroid Center algorithms17
Capturing research literature attitude towards sustainable development goals: an LLM-based topic modeling approach17
Combining review elements for modelling various multi-criteria collaborative recommendation models17
Machine learning-based interactive dynamic resilience assessment for complex hydropower systems17
Multi-level lag scheme significantly improves training efficiency in deep learning: a case study in air quality alert service over sub-tropical area17
Readers’ affect: predicting and understanding readers’ emotions with deep learning17
Big data: an optimized approach for cluster initialization17
Evaluation of predictive performance of modeling hyperuricemia using medical big data: comparison of data preprocessing methods17
Learning manifolds from non-stationary streams16
Decision support system for handling control decisions and decision-maker related to supply chain16
Photograph-based machine learning approach for automated detection and differentiation of aerial blight disease in soybean crops16
Axial compressive behavior of reinforced concrete-filled circular steel tubular columns: finite element and machine learning modelling16
Student academic performance prediction via hypergraph and TabNet16
Breast cancer diagnosis with MFF-HistoNet: a multi-modal feature fusion network integrating CNNs and quantum tensor networks16
An efficient weighted slime mould algorithm for engineering optimization16
Leveraging ensemble learning-based stock preselection with multiobjective investment optimization for stepwise decision-supported portfolio management16
RILS-ROLS: robust symbolic regression via iterated local search and ordinary least squares16
IGRF-RFE: a hybrid feature selection method for MLP-based network intrusion detection on UNSW-NB15 dataset16
The wisdom of the lexicon crowds: leveraging on decades of lexicon-based sentiment analysis for improved results15
Enhancing public art communication through emotional intelligence based on type-2 fractional fuzzy sets15
Data engineering for sustainable agriculture: developments, challenges, and case studies of a novel IoRT architecture15
A unified representation and transformation of multi-model data using category theory15
Application of supervised machine learning models in human emotion classification using Tsallis entropy as a feature15
Fitcam: detecting and counting repetitive exercises with deep learning15
A computational analysis of aspect-based sentiment analysis research through bibliometric mapping and topic modeling15
Blind Federated Learning without initial model15
Advanced machine learning techniques for cardiovascular disease early detection and diagnosis15
Artifact-free fat-water separation in Dixon MRI using deep learning15
Modeling the public attitude towards organic foods: a big data and text mining approach14
Computational methods for predicting the outcome of thoracic transplantation14
Big social data as a service (BSDaaS): a service composition framework for social media analysis14
Addressing big data variety using an automated approach for data characterization14
Cyberattack detection in wireless sensor networks using a hybrid feature reduction technique with AI and machine learning methods14
IDC: quantitative evaluation benchmark of interpretation methods for deep text classification models14
Multivariate response directional regression: a projective resampling approach14
An integrated model for evaluation of big data challenges and analytical methods in recommender systems14
Exploring AI-driven approaches for unstructured document analysis and future horizons14
A scalable association rule learning and recommendation algorithm for large-scale microarray datasets14
Unified platform for storing, retrieving, and analysing biomechanical applications data using graph database14
Advances in ECG and PCG-based cardiovascular disease classification: a review of deep learning and machine learning methods13
Trends in real-time artificial intelligence methods in sports: a systematic review13
Architecture for determining the cleanliness in shared vehicles using an integrated machine vision and indoor air quality-monitoring system13
Application of deep learning technique in next generation sequence experiments13
Awareness routing algorithm in vehicular ad-hoc networks (VANETs)13
Optimal Markowitz portfolio using returns forecasted with time series and machine learning models13
Feature selection strategies: a comparative analysis of SHAP-value and importance-based methods13
Bilingual video captioning model for enhanced video retrieval13
Task-aware conditional GAN with multi-objective loss for realistic and efficient industrial time series generation13
DLA-E: a deep learning accelerator for endoscopic images classification13
A novel approach for detecting deep fake videos using graph neural network13
Enhanced credit card fraud detection based on attention mechanism and LSTM deep model13
Attribute annotation and bias evaluation in visual datasets for autonomous driving13
Predicting clinical outcomes of radiotherapy for head and neck squamous cell carcinoma patients using machine learning algorithms13
Optimization-based convolutional neural model for the classification of white blood cells13
AI-driven biomedical perspectives on mental fatigue in the post-COVID-19 Era: trends, research gaps, and future directions13
Facial emotion recognition using deep Siamese neural networks: multi-classifier fusion for single-emotion and multi-emotion models across age groups13
Retinal photograph-based deep learning system for detection of hyperthyroidism: a multicenter, diagnostic study13
A multi-manifold learning based instance weighting and under-sampling for imbalanced data classification problems12
Unsupervised feature selection and class labeling for credit card fraud12
Toward a smart health: big data analytics and IoT for real-time miscarriage prediction12
The power of big data mining to improve the health care system in the United Arab Emirates12
‘Everything is data’: towards one big data ecosystem using multiple sources of data on higher education in Indonesia12
Aspect-level sentiment classification with fused local and global context12
Personalized region of interest recommendation through adaptive fusion of multi-dimensional user preferences12
B-CAT: a model for detecting botnet attacks using deep attack behavior analysis on network traffic flows12
Developing a negative speech emotion recognition model for safety systems using deep learning12
DAPS diagrams for defining Data Science projects12
A canonical model for seasonal climate prediction using Big Data12
Simulating imprecise data: sine–cosine and convolution methods with neutrosophic normal distribution12
CMMamba: channel mixing Mamba for time series forecasting12
Data generation and application using the neutrosophic Erlang distribution11
Automatic diagnosis of keratitis using object localization combined with cost-sensitive deep attention convolutional neural network11
Towards precision in IoT-based healthcare systems: a hybrid optimized framework for big data classification11
A toolbox for volleyball data analytics: a case study on the italian women’s league11
An ensemble method for estimating the number of clusters in a big data set using multiple random samples11
Adapting transformer-based language models for heart disease detection and risk factors extraction11
An LLM-guided platform for multi-granular collection and management of data provenance11
A multi-dimensional hierarchical evaluation system for data quality in trustworthy AI11
Identifying key genetic variants in Alzheimer’s disease progression using Graph Convolutional Networks (GCN) and biological impact analysis11
Minimum threshold determination method based on dataset characteristics in association rule mining11
HyGraph: a subgraph isomorphism algorithm for efficiently querying big graph databases11
Enhancing Byzantine robustness of federated learning via tripartite adaptive authentication11
Where you go is who you are: a study on machine learning based semantic privacy attacks11
Detecting Denial of Service attacks using machine learning algorithms11
Survey of transformers and towards ensemble learning using transformers for natural language processing11
Poisson logit hurdle model with associated factors of perinatal mortality in Ethiopia10
Detecting unregistered users through semi-supervised anomaly detection with similarity datasets10
ASENN: attention-based selective embedding neural networks for road distress prediction10
An enhanced alpha evolution moss growth optimizer for prognostic prediction in spontaneous intracerebral hemorrhage10
Automatic identification and classification of pediatric glomerulonephritis on ultrasound images based on deep learning and radiomics10
Classification of long-term clinical course of Parkinson’s disease using clustering algorithms on social support registry database10
A scheduling algorithm to maximize storm throughput in heterogeneous cluster10
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