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 2022-01-01 to 2026-01-01.)
ArticleCitations
Prognostic stratification based on HIF-1α signaling for evaluating hypoxia status and immune landscape in hepatocellular carcinoma600
Domain-relevance of influence: characterizing variations in online influence across multiple domains on social media413
Integrating deep learning and transfer learning: optimizing white blood cells classification in medical educational institutions402
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 374
A new dimensionality reduction technique based on the Wavelet Transform for cancer classification333
A universal approach for multi-model schema inference312
Context-aware prediction of active and passive user engagement: Evidence from a large online social platform251
Gene selection via improved nuclear reaction optimization algorithm for cancer classification in high-dimensional data247
Identification of tumor antigens and anoikis-based molecular subtypes in the hepatocellular carcinoma immune microenvironment: implications for mRNA vaccine development and precision treatment240
Data provider research overview from a public management perspective: a bibliometric analysis utilizing CiteSpace210
GB-AFS: graph-based automatic feature selection for multi-class classification via Mean Simplified Silhouette163
Value-at-risk student prescription trees for price personalization159
FONDUE—Fine-Tuned Optimization: Nurturing Data Usability & Efficiency157
A multi-granular hybrid neural architecture for detecting abusive content in online social networks (OSNs) with contextual awareness148
A proposed hybrid framework to improve the accuracy of customer churn prediction in telecom industry147
Efficient pollen grain classification using pre-trained Convolutional Neural Networks: a comprehensive study141
Hybrid beluga whale optimization algorithm with multi-strategy for functions and engineering optimization problems138
Designing and evaluating a big data analytics approach for predicting students’ success factors138
An artificial intelligence platform for predicting postoperative complications in metastatic spinal surgery: development and validation study129
Comprehensive study of driver behavior monitoring systems using computer vision and machine learning techniques118
Defining user spectra to classify Ethereum users based on their behavior118
The stability of different aggregation techniques in ensemble feature selection104
COA_DNN: a hybrid crayfish optimization with deep neural network for detection of rapid eye movement behaviour disorder102
Breast cancer prediction using gated attentive multimodal deep learning97
Big data in human behavior research: a contextual turn94
Traffic and road conditions monitoring system using extracted information from Twitter91
Exploring differential privacy in CNNs, LSTMs, GRUs, and RNNs for heartbeat detection from multimodal data91
The adaptive community-response (ACR) method for collecting misinformation on social media90
An adaptive k-means clustering algorithm based on grid and domain centroid weights for digital twins in the context of digital transformation86
A model for investment type recommender system based on the potential investors based on investors and experts feedback using ANFIS and MNN82
Artificial intelligence for improving Nitrogen Dioxide forecasting of Abu Dhabi environment agency ground-based stations80
Deep-Eware: spatio-temporal social event detection using a hybrid learning model79
A unified IoT architectural model for smart hospitals: enhancing interoperability, security, and efficiency through clinical information systems (CIS)78
Social media analysis of Twitter tweets related to ASD in 2019–2020, with particular attention to COVID-19: topic modelling and sentiment analysis76
An efficient binary spider wasp optimizer for multi-dimensional knapsack instances: experimental validation and analysis74
Pre-trained transformer-based language models for Sundanese73
Advancing multimodal emotion recognition in big data through prompt engineering and deep adaptive learning70
Risk and UCON-based access control model for healthcare big data67
DiabSense: early diagnosis of non-insulin-dependent diabetes mellitus using smartphone-based human activity recognition and diabetic retinopathy analysis with Graph Neural Network66
Survey on terminology extraction from texts64
Distributed fuzzy clustering algorithm for mixed-mode data in Apache SPARK63
Artificial intelligence models for prediction of monthly rainfall without climatic data for meteorological stations in Ethiopia63
The use of Big Data Analytics in healthcare56
Surface defect detection on bolt surface using a real-time fine-tuned YOLOv6 model55
SMT efficiency in supervised ML methods: a throughput and interference analysis55
Review of deep learning methods for remote sensing satellite images classification: experimental survey and comparative analysis55
Developing insights from the collective voice of target users in Twitter54
Fast agglomerative clustering using approximate traveling salesman solutions50
Hajj pilgrimage abnormal crowd movement monitoring using optical flow and FCNN49
Advancing stock price prediction through the development of hybrid ensembles: a comprehensive comparative analysis of machine learning approaches49
Short-term photovoltaic power production forecasting based on novel hybrid data-driven models49
Predicting startup success using two bias-free machine learning: resolving data imbalance using generative adversarial networks49
From distributed machine to distributed deep learning: a comprehensive survey49
Machine learning based customer churn prediction in home appliance rental business49
Novel mathematical model for the classification of music and rhythmic genre using deep neural network49
Meta-transformer: leveraging metaheuristic algorithms for agricultural commodity price forecasting48
Efficient surface crack segmentation for industrial and civil applications based on an enhanced YOLOv8 model48
Part of speech tagging: a systematic review of deep learning and machine learning approaches47
Modeling the impact of BDA-AI on sustainable innovation ambidexterity and environmental performance46
IoT information theft prediction using ensemble feature selection44
Scalable approach for high-resolution land cover: a case study in the Mediterranean Basin44
Traffic flow prediction based on depthwise separable convolution fusion network42
Advancing hospital healthcare: achieving IoT-based secure health monitoring through multilayer machine learning42
Disaggregating IMERG satellite precipitation over Czech Republic: an innovative approach using hybrid Extreme Gradient Boosting based on Fuzzy Spatial-Temporal Multivariate Clustering41
Contrastive self-supervised representation learning framework for metal surface defect detection41
Xai-driven knowledge distillation of large language models for efficient deployment on low-resource devices40
Hybrid wrapper feature selection method based on genetic algorithm and extreme learning machine for intrusion detection40
Optimizing IoT intrusion detection system: feature selection versus feature extraction in machine learning40
Machine learning-based network intrusion detection for big and imbalanced data using oversampling, stacking feature embedding and feature extraction40
Churn management in hospitality39
Empowering sentiment analysis in social media: a comprehensive approach to enhance the classification of abusive Tamil comments using transformer models39
Metamorphosing forex: advancements in volatility forecasting using a modified fuzzy time series framework38
Advanced multilevel feature fusion framework for enhanced image retrieval using convolutional neural network and benchmark datasets38
Enhanced ransomware attacks detection using feature selection, sensitivity analysis, and optimized hybrid model38
Emotion AWARE: an artificial intelligence framework for adaptable, robust, explainable, and multi-granular emotion analysis38
Machine learning model for malaria risk prediction based on mutation location of large-scale genetic variation data38
PoLYTC: a novel BERT-based classifier to detect political leaning of YouTube videos based on their titles37
Self-organizing maps to evaluate optimal strategies for balancing binary class distributions: a methodological approach37
Comparative analysis of binary and one-class classification techniques for credit card fraud data37
The use of class imbalanced learning methods on ULSAM data to predict the case–control status in genome-wide association studies37
Multi combination pattern labeling by using deep learning for chameleon rotary machine environment37
Image captioning model using attention and object features to mimic human image understanding36
Transforming OpenAPI Specification 3.0 documents into RDF-based semantic web services35
Efficient spatial data partitioning for distributed $$k$$NN joins34
Enhancing academic performance prediction with temporal graph networks for massive open online courses33
Fuzzy deep learning architecture for cucumber plant disease detection and classification33
A novel ST-iTransformer model for spatio-temporal ambient air pollution forecasting33
Enhancing cardiac diagnostics: a deep learning ensemble approach for precise ECG image classification33
Siamese Graph Convolutional Split-Attention Network with NLP based Social Sentimental Data for enhanced stock price predictions32
Helformer: an attention-based deep learning model for cryptocurrency price forecasting32
Governance and sustainability of distributed continuum systems: a big data approach32
Multi-sample $$\zeta $$-mixup: richer, more realistic synthetic samples from a p-series interpolant31
Privacy preserved incremental record linkage31
Ramifications of incorrect image segmentations; emphasizing on the potential effects on deep learning methods failure31
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
Optimizing group utility in itinerary planning: a strategic and crowd-aware approach29
Data augmentation for dense passage retrieval using corpus-passage frequency-based token deletion29
Uncertainty-aware approach for multiple imputation using conventional and machine learning models: a real-world data study29
Determinating clusters with a higher proportion of long-term care discharges from hospitals: a nationwide Portuguese study using clustering and decision tree methods29
Liquid biopsy-based identification of prognostic and immunotherapeutically relevant gene signatures in lower grade glioma29
Data pipeline approaches in serverless computing: a taxonomy, review, and research trends28
Adaptive multiple imputations of missing values using the class center28
Research on sentiment analysis method of opinion mining based on multi-model fusion transfer learning28
A deep contrastive learning-based image retrieval system for automatic detection of infectious cattle diseases28
Generative AI in depth: A survey of recent advances, model variants, and real-world applications28
Big Data Analytics-based life cycle sustainability assessment for sustainable manufacturing enterprises evaluation27
HepScope: CNN-based single-cell discrimination of malignant hepatocytes27
Comprehensive review of artificial intelligence applications in renewable energy systems: current implementations and emerging trends27
Online variational Gaussian process for time series data27
Optical electrocardiogram based heart disease prediction using hybrid deep learning26
A novel sub-network level ensemble deep neural network with a regularized loss function to improve prediction performance26
Distinguishing novel coronavirus influenza A virus pneumonia with CT radiomics and clinical features26
Federated Freeze BERT for text classification25
Identification of key drought-tolerant genes in soybean using an integrative data-driven feature engineering pipeline25
Text summarization based on semantic graphs: an abstract meaning representation graph-to-text deep learning approach25
Enhancing data discovery with contextual pre-filtering25
A systematic review of AI-enhanced techniques in credit card fraud detection24
Stress detection using natural language processing and machine learning over social interactions24
Tumor antigens and immune subtypes of glioblastoma: the fundamentals of mRNA vaccine and individualized immunotherapy development24
A systematic review on big data applications and scope for industrial processing and healthcare sectors24
Deep learning for component fault detection in electricity transmission lines24
Plant disease detection and classification techniques: a comparative study of the performances24
Data analysis for vague contingency data23
Unsupervised label generation for severely imbalanced fraud data23
Extended version of decision making model for industrial robot selection via fractional continuous fuzzy information23
Sentiment analysis classification system using hybrid BERT models23
A fuel consumption-based method for developing local-specific CO2 emission rate database using open-source big data23
The differences in gastric cancer epidemiological data between SEER and GBD: a joinpoint and age-period-cohort analysis23
Utilizing AI models to identify and predict phase transition patterns of bipolar disorder patients23
Data reduction techniques for highly imbalanced medicare Big Data22
An enhanced random forest approach using CoClust clustering: MIMIC-III and SMS spam collection application22
An enhanced machine learning framework for accurate diagnosis of tuberculous pleural effusion22
Evaluation is key: a survey on evaluation measures for synthetic time series22
Spatial heterogeneities in acute lower respiratory infections prevalence and determinants across Ethiopian administrative zones22
Decoding defensive performance: a machine learning approach to football player valuation21
Iterative cleaning and learning of big highly-imbalanced fraud data using unsupervised learning21
FEL-FRN: fusion ECA long-CLIP feature reconstruction network for few-shot classification21
De-occlusion and recognition of frontal face images: a comparative study of multiple imputation methods21
The evolution of the European football transfer network21
Block-level masking and feature importance-based adversarial example generation21
Text-to-video generators: a comprehensive survey21
Big data processing using hybrid Gaussian mixture model with salp swarm algorithm20
Deep learning enhancing banking services: a hybrid transaction classification and cash flow prediction approach20
Hyperdimensional computing: a framework for stochastic computation and symbolic AI20
Unsupervised hyperspectral image segmentation of films: a hierarchical clustering-based approach20
Operationalizing and automating Data Governance20
Main memory controller with multiple media technologies for big data workloads20
Hemorrhage semantic segmentation in fundus images for the diagnosis of diabetic retinopathy by using a convolutional neural network20
The state of metaverse research: a bibliometric visual analysis based on CiteSpace20
A machine learning-based credit risk prediction engine system using a stacked classifier and a filter-based feature selection method20
Multi strategy Horned Lizard Optimization Algorithm for complex optimization and advanced feature selection problems20
Evaluation of predictive performance of modeling hyperuricemia using medical big data: comparison of data preprocessing methods19
Machine learning-based interactive dynamic resilience assessment for complex hydropower systems19
Data analysis for sequential contingencies under uncertainty19
Capturing research literature attitude towards sustainable development goals: an LLM-based topic modeling approach19
Combining review elements for modelling various multi-criteria collaborative recommendation models19
Potential for the use of large unstructured data resources by public innovation support institutions19
Scalable and space-efficient Robust Matroid Center algorithms19
Readers’ affect: predicting and understanding readers’ emotions with deep learning19
Photograph-based machine learning approach for automated detection and differentiation of aerial blight disease in soybean crops18
Introducing Mplots: scaling time series recurrence plots to massive datasets18
Multi-level lag scheme significantly improves training efficiency in deep learning: a case study in air quality alert service over sub-tropical area18
Information preservation-based hashing for image retrieval18
A real-time predicting online tool for detection of people’s emotions from Arabic tweets based on big data platforms18
An optimized hybrid ensemble machine learning model combining multiple classifiers for detecting advanced persistent threats in networks18
Accelerating neural network training with distributed asynchronous and selective optimization (DASO)18
Bilingual hate speech detection on social media: Amharic and Afaan Oromo17
Breast cancer diagnosis with MFF-HistoNet: a multi-modal feature fusion network integrating CNNs and quantum tensor networks17
Deep reinforcement learning for data-efficient weakly supervised business process anomaly detection17
Transfer learning approach based on satellite image time series for the crop classification problem17
Towards a deep learning-based outlier detection approach in the context of streaming data17
Machine learning-based turbulence-risk prediction method for the safe operation of aircrafts17
Axial compressive behavior of reinforced concrete-filled circular steel tubular columns: finite element and machine learning modelling17
IGRF-RFE: a hybrid feature selection method for MLP-based network intrusion detection on UNSW-NB15 dataset17
Big data: an optimized approach for cluster initialization17
Deep reinforcement learning for job scheduling on load-aware heterogeneous cluster17
An efficient weighted slime mould algorithm for engineering optimization17
RILS-ROLS: robust symbolic regression via iterated local search and ordinary least squares17
Learning manifolds from non-stationary streams16
IDC: quantitative evaluation benchmark of interpretation methods for deep text classification models16
Artifact-free fat-water separation in Dixon MRI using deep learning16
A unified representation and transformation of multi-model data using category theory16
Decision support system for handling control decisions and decision-maker related to supply chain16
Enhancing public art communication through emotional intelligence based on type-2 fractional fuzzy sets16
Application of supervised machine learning models in human emotion classification using Tsallis entropy as a feature16
Leveraging ensemble learning-based stock preselection with multiobjective investment optimization for stepwise decision-supported portfolio management16
A computational analysis of aspect-based sentiment analysis research through bibliometric mapping and topic modeling16
Student academic performance prediction via hypergraph and TabNet15
Data engineering for sustainable agriculture: developments, challenges, and case studies of a novel IoRT architecture15
Blind Federated Learning without initial model15
An integrated model for evaluation of big data challenges and analytical methods in recommender systems15
Exploring AI-driven approaches for unstructured document analysis and future horizons15
Fitcam: detecting and counting repetitive exercises with deep learning15
The wisdom of the lexicon crowds: leveraging on decades of lexicon-based sentiment analysis for improved results15
Advanced machine learning techniques for cardiovascular disease early detection and diagnosis15
Multivariate response directional regression: a projective resampling approach15
Cyberattack detection in wireless sensor networks using a hybrid feature reduction technique with AI and machine learning methods15
Modeling the public attitude towards organic foods: a big data and text mining approach15
Computational methods for predicting the outcome of thoracic transplantation15
A scalable association rule learning and recommendation algorithm for large-scale microarray datasets15
Unified platform for storing, retrieving, and analysing biomechanical applications data using graph database15
Optimization-based convolutional neural model for the classification of white blood cells14
Facial emotion recognition using deep Siamese neural networks: multi-classifier fusion for single-emotion and multi-emotion models across age groups14
Application of deep learning technique in next generation sequence experiments14
A novel approach for detecting deep fake videos using graph neural network14
Task-aware conditional GAN with multi-objective loss for realistic and efficient industrial time series generation14
Predicting clinical outcomes of radiotherapy for head and neck squamous cell carcinoma patients using machine learning algorithms14
Robust metaheuristic algorithms with sequential replacement-improved dynamic population for optimizing energy consumption in a UAV-empowered IoT data collection system14
The community discovery method in heterogeneous networks: a survey14
Retinal photograph-based deep learning system for detection of hyperthyroidism: a multicenter, diagnostic study14
Architecture for determining the cleanliness in shared vehicles using an integrated machine vision and indoor air quality-monitoring system14
Guardians of digital safety: benchmarking large language models in the fight against online toxicity14
Addressing big data variety using an automated approach for data characterization13
Optimal Markowitz portfolio using returns forecasted with time series and machine learning models13
Attribute annotation and bias evaluation in visual datasets for autonomous driving13
DAPS diagrams for defining Data Science projects13
DLA-E: a deep learning accelerator for endoscopic images classification13
AI-driven biomedical perspectives on mental fatigue in the post-COVID-19 Era: trends, research gaps, and future directions13
Awareness routing algorithm in vehicular ad-hoc networks (VANETs)13
Unsupervised feature selection and class labeling for credit card fraud13
Feature selection strategies: a comparative analysis of SHAP-value and importance-based methods13
Advances in ECG and PCG-based cardiovascular disease classification: a review of deep learning and machine learning methods13
Big social data as a service (BSDaaS): a service composition framework for social media analysis13
Bilingual video captioning model for enhanced video retrieval13
A canonical model for seasonal climate prediction using Big Data13
Adapting transformer-based language models for heart disease detection and risk factors extraction12
B-CAT: a model for detecting botnet attacks using deep attack behavior analysis on network traffic flows12
Simulating imprecise data: sine–cosine and convolution methods with neutrosophic normal distribution12
Automatic diagnosis of keratitis using object localization combined with cost-sensitive deep attention convolutional neural network12
Identifying key genetic variants in Alzheimer’s disease progression using Graph Convolutional Networks (GCN) and biological impact analysis12
Towards precision in IoT-based healthcare systems: a hybrid optimized framework for big data classification12
An ensemble method for estimating the number of clusters in a big data set using multiple random samples12
Comparative analysis of AI techniques in pavement preservation materials: ensemble learning, deep learning, and simplified variance-matching diffusion model based data augmentation12
A toolbox for volleyball data analytics: a case study on the italian women’s league12
Toward a smart health: big data analytics and IoT for real-time miscarriage prediction12
Detecting Denial of Service attacks using machine learning algorithms12
Developing a negative speech emotion recognition model for safety systems using deep learning12
Aspect-level sentiment classification with fused local and global context12
PF-PSS: a double-layer parallel embedded feature selection method for cancer gene expression data12
The power of big data mining to improve the health care system in the United Arab Emirates12
Personalized region of interest recommendation through adaptive fusion of multi-dimensional user preferences12
A multi-manifold learning based instance weighting and under-sampling for imbalanced data classification problems12
‘Everything is data’: towards one big data ecosystem using multiple sources of data on higher education in Indonesia12
Trends in real-time artificial intelligence methods in sports: a systematic review12
Survey of transformers and towards ensemble learning using transformers for natural language processing12
An LLM-guided platform for multi-granular collection and management of data provenance12
CMMamba: channel mixing Mamba for time series forecasting12
Twitter sentiment analysis using hybrid gated attention recurrent network11
Using passive Wi-Fi for community crowd sensing during the COVID-19 pandemic11
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