Journal of Big Data

Papers
(The median citation count of Journal of Big Data is 4. 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 2021-09-01 to 2025-09-01.)
ArticleCitations
GB-AFS: graph-based automatic feature selection for multi-class classification via Mean Simplified Silhouette650
Domain-relevance of influence: characterizing variations in online influence across multiple domains on social media467
Prognostic stratification based on HIF-1α signaling for evaluating hypoxia status and immune landscape in hepatocellular carcinoma347
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 327
Value-at-risk student prescription trees for price personalization294
A new dimensionality reduction technique based on the Wavelet Transform for cancer classification210
An artificial intelligence platform for predicting postoperative complications in metastatic spinal surgery: development and validation study208
Defining user spectra to classify Ethereum users based on their behavior199
Identification of tumor antigens and anoikis-based molecular subtypes in the hepatocellular carcinoma immune microenvironment: implications for mRNA vaccine development and precision treatment175
A universal approach for multi-model schema inference154
A proposed hybrid framework to improve the accuracy of customer churn prediction in telecom industry148
Context-aware prediction of active and passive user engagement: Evidence from a large online social platform148
Integrating deep learning and transfer learning: optimizing white blood cells classification in medical educational institutions140
FONDUE—Fine-Tuned Optimization: Nurturing Data Usability & Efficiency134
Gene selection via improved nuclear reaction optimization algorithm for cancer classification in high-dimensional data131
Designing and evaluating a big data analytics approach for predicting students’ success factors127
A novel sensitivity-based method for feature selection120
Hybrid beluga whale optimization algorithm with multi-strategy for functions and engineering optimization problems110
Breast cancer prediction using gated attentive multimodal deep learning110
The stability of different aggregation techniques in ensemble feature selection103
Efficient pollen grain classification using pre-trained Convolutional Neural Networks: a comprehensive study103
Comprehensive study of driver behavior monitoring systems using computer vision and machine learning techniques103
Distributed fuzzy clustering algorithm for mixed-mode data in Apache SPARK102
Big data in human behavior research: a contextual turn99
An efficient binary spider wasp optimizer for multi-dimensional knapsack instances: experimental validation and analysis97
DiabSense: early diagnosis of non-insulin-dependent diabetes mellitus using smartphone-based human activity recognition and diabetic retinopathy analysis with Graph Neural Network90
Artificial intelligence models for prediction of monthly rainfall without climatic data for meteorological stations in Ethiopia79
Survey on terminology extraction from texts75
A model for investment type recommender system based on the potential investors based on investors and experts feedback using ANFIS and MNN75
Artificial intelligence for improving Nitrogen Dioxide forecasting of Abu Dhabi environment agency ground-based stations73
A unified IoT architectural model for smart hospitals: enhancing interoperability, security, and efficiency through clinical information systems (CIS)72
Traffic and road conditions monitoring system using extracted information from Twitter69
Risk and UCON-based access control model for healthcare big data69
An adaptive k-means clustering algorithm based on grid and domain centroid weights for digital twins in the context of digital transformation68
Social media analysis of Twitter tweets related to ASD in 2019–2020, with particular attention to COVID-19: topic modelling and sentiment analysis67
The adaptive community-response (ACR) method for collecting misinformation on social media65
Advancing multimodal emotion recognition in big data through prompt engineering and deep adaptive learning64
Machine learning techniques to predict daily rainfall amount61
Pre-trained transformer-based language models for Sundanese59
Review of deep learning methods for remote sensing satellite images classification: experimental survey and comparative analysis59
Deep-Eware: spatio-temporal social event detection using a hybrid learning model56
The use of Big Data Analytics in healthcare56
SMT efficiency in supervised ML methods: a throughput and interference analysis54
Hajj pilgrimage abnormal crowd movement monitoring using optical flow and FCNN53
Contrastive self-supervised representation learning framework for metal surface defect detection53
Traffic flow prediction based on depthwise separable convolution fusion network51
Disaggregating IMERG satellite precipitation over Czech Republic: an innovative approach using hybrid Extreme Gradient Boosting based on Fuzzy Spatial-Temporal Multivariate Clustering49
IoT information theft prediction using ensemble feature selection49
Scalable approach for high-resolution land cover: a case study in the Mediterranean Basin49
Fast agglomerative clustering using approximate traveling salesman solutions48
Novel mathematical model for the classification of music and rhythmic genre using deep neural network48
Efficient surface crack segmentation for industrial and civil applications based on an enhanced YOLOv8 model47
Surface defect detection on bolt surface using a real-time fine-tuned YOLOv6 model47
Xai-driven knowledge distillation of large language models for efficient deployment on low-resource devices46
Modeling the impact of BDA-AI on sustainable innovation ambidexterity and environmental performance45
Meta-transformer: leveraging metaheuristic algorithms for agricultural commodity price forecasting45
Machine learning-based network intrusion detection for big and imbalanced data using oversampling, stacking feature embedding and feature extraction44
Air-pollution prediction in smart city, deep learning approach44
Predicting startup success using two bias-free machine learning: resolving data imbalance using generative adversarial networks44
From distributed machine to distributed deep learning: a comprehensive survey44
Hybrid wrapper feature selection method based on genetic algorithm and extreme learning machine for intrusion detection43
Short-term photovoltaic power production forecasting based on novel hybrid data-driven models42
Advancing hospital healthcare: achieving IoT-based secure health monitoring through multilayer machine learning41
Part of speech tagging: a systematic review of deep learning and machine learning approaches41
Developing insights from the collective voice of target users in Twitter40
Machine learning based customer churn prediction in home appliance rental business40
Metamorphosing forex: advancements in volatility forecasting using a modified fuzzy time series framework40
Optimizing IoT intrusion detection system: feature selection versus feature extraction in machine learning40
Transforming OpenAPI Specification 3.0 documents into RDF-based semantic web services39
A novel ST-iTransformer model for spatio-temporal ambient air pollution forecasting39
Multi combination pattern labeling by using deep learning for chameleon rotary machine environment39
Churn management in hospitality38
The use of class imbalanced learning methods on ULSAM data to predict the case–control status in genome-wide association studies36
Enhancing cardiac diagnostics: a deep learning ensemble approach for precise ECG image classification36
Self-organizing maps to evaluate optimal strategies for balancing binary class distributions: a methodological approach36
Fuzzy deep learning architecture for cucumber plant disease detection and classification35
PoLYTC: a novel BERT-based classifier to detect political leaning of YouTube videos based on their titles35
Emotion AWARE: an artificial intelligence framework for adaptable, robust, explainable, and multi-granular emotion analysis35
Machine learning model for malaria risk prediction based on mutation location of large-scale genetic variation data35
Efficient spatial data partitioning for distributed $$k$$NN joins34
Comparative analysis of binary and one-class classification techniques for credit card fraud data33
Enhancing academic performance prediction with temporal graph networks for massive open online courses33
Image captioning model using attention and object features to mimic human image understanding33
Empowering sentiment analysis in social media: a comprehensive approach to enhance the classification of abusive Tamil comments using transformer models32
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 forecasting31
Governance and sustainability of distributed continuum systems: a big data approach31
Ramifications of incorrect image segmentations; emphasizing on the potential effects on deep learning methods failure31
Multi-sample $$\zeta $$-mixup: richer, more realistic synthetic samples from a p-series interpolant30
Integration of image segmentation and fuzzy theory to improve the accuracy of damage detection areas in traffic accidents29
Privacy preserved incremental record linkage28
Optimizing group utility in itinerary planning: a strategic and crowd-aware approach28
Opinion mining for national security: techniques, domain applications, challenges and research opportunities28
A deep learning-based framework for large-scale plant disease detection using big data analytics in precision agriculture28
Normalization and outlier removal in class center-based firefly algorithm for missing value imputation27
Uncertainty-aware approach for multiple imputation using conventional and machine learning models: a real-world data study27
Comprehensive review of artificial intelligence applications in renewable energy systems: current implementations and emerging trends27
Liquid biopsy-based identification of prognostic and immunotherapeutically relevant gene signatures in lower grade glioma26
A deep contrastive learning-based image retrieval system for automatic detection of infectious cattle diseases26
Big Data Analytics-based life cycle sustainability assessment for sustainable manufacturing enterprises evaluation26
Data pipeline approaches in serverless computing: a taxonomy, review, and research trends26
Determinating clusters with a higher proportion of long-term care discharges from hospitals: a nationwide Portuguese study using clustering and decision tree methods26
Deep features fusion for KCF-based moving object tracking25
Research on sentiment analysis method of opinion mining based on multi-model fusion transfer learning25
Data augmentation for dense passage retrieval using corpus-passage frequency-based token deletion25
Adaptive multiple imputations of missing values using the class center25
Online variational Gaussian process for time series data24
Text summarization based on semantic graphs: an abstract meaning representation graph-to-text deep learning approach24
HepScope: CNN-based single-cell discrimination of malignant hepatocytes24
Distinguishing novel coronavirus influenza A virus pneumonia with CT radiomics and clinical features24
Identification of key drought-tolerant genes in soybean using an integrative data-driven feature engineering pipeline23
Optical electrocardiogram based heart disease prediction using hybrid deep learning23
A systematic review of AI-enhanced techniques in credit card fraud detection23
A novel sub-network level ensemble deep neural network with a regularized loss function to improve prediction performance23
Stress detection using natural language processing and machine learning over social interactions23
Federated Freeze BERT for text classification23
Deep learning for component fault detection in electricity transmission lines23
Tumor antigens and immune subtypes of glioblastoma: the fundamentals of mRNA vaccine and individualized immunotherapy development22
Data analysis for vague contingency data21
A systematic review on big data applications and scope for industrial processing and healthcare sectors21
Plant disease detection and classification techniques: a comparative study of the performances21
Deep learning for emotion analysis in Arabic tweets21
A fuel consumption-based method for developing local-specific CO2 emission rate database using open-source big data21
Sentiment analysis classification system using hybrid BERT models21
An enhanced machine learning framework for accurate diagnosis of tuberculous pleural effusion20
Evaluation is key: a survey on evaluation measures for synthetic time series20
FEL-FRN: fusion ECA long-CLIP feature reconstruction network for few-shot classification20
Utilizing AI models to identify and predict phase transition patterns of bipolar disorder patients20
Dissimilarity space reinforced with manifold learning and latent space modeling for improved pattern classification20
Spatial heterogeneities in acute lower respiratory infections prevalence and determinants across Ethiopian administrative zones20
An enhanced random forest approach using CoClust clustering: MIMIC-III and SMS spam collection application19
Hyperdimensional computing: a framework for stochastic computation and symbolic AI19
Operationalizing and automating Data Governance19
Extended version of decision making model for industrial robot selection via fractional continuous fuzzy information19
Deep learning enhancing banking services: a hybrid transaction classification and cash flow prediction approach19
Multi strategy Horned Lizard Optimization Algorithm for complex optimization and advanced feature selection problems19
Hemorrhage semantic segmentation in fundus images for the diagnosis of diabetic retinopathy by using a convolutional neural network18
Iterative cleaning and learning of big highly-imbalanced fraud data using unsupervised learning18
Unsupervised label generation for severely imbalanced fraud data18
The differences in gastric cancer epidemiological data between SEER and GBD: a joinpoint and age-period-cohort analysis18
Unsupervised hyperspectral image segmentation of films: a hierarchical clustering-based approach18
De-occlusion and recognition of frontal face images: a comparative study of multiple imputation methods18
Main memory controller with multiple media technologies for big data workloads17
Data reduction techniques for highly imbalanced medicare Big Data17
The state of metaverse research: a bibliometric visual analysis based on CiteSpace17
An efficient weighted slime mould algorithm for engineering optimization17
Bilingual hate speech detection on social media: Amharic and Afaan Oromo17
A machine learning-based credit risk prediction engine system using a stacked classifier and a filter-based feature selection method17
Data analysis for sequential contingencies under uncertainty17
Breast cancer diagnosis with MFF-HistoNet: a multi-modal feature fusion network integrating CNNs and quantum tensor networks17
Big data processing using hybrid Gaussian mixture model with salp swarm algorithm17
Evaluation of predictive performance of modeling hyperuricemia using medical big data: comparison of data preprocessing methods16
Towards a deep learning-based outlier detection approach in the context of streaming data16
Scalable and space-efficient Robust Matroid Center algorithms16
Readers’ affect: predicting and understanding readers’ emotions with deep learning16
Transfer learning approach based on satellite image time series for the crop classification problem16
Combining review elements for modelling various multi-criteria collaborative recommendation models16
Machine learning-based interactive dynamic resilience assessment for complex hydropower systems16
Accelerating neural network training with distributed asynchronous and selective optimization (DASO)16
Computational methods for predicting the outcome of thoracic transplantation15
IGRF-RFE: a hybrid feature selection method for MLP-based network intrusion detection on UNSW-NB15 dataset15
Capturing research literature attitude towards sustainable development goals: an LLM-based topic modeling approach15
A real-time predicting online tool for detection of people’s emotions from Arabic tweets based on big data platforms15
Decision support system for handling control decisions and decision-maker related to supply chain15
Potential for the use of large unstructured data resources by public innovation support institutions15
Introducing Mplots: scaling time series recurrence plots to massive datasets15
Photograph-based machine learning approach for automated detection and differentiation of aerial blight disease in soybean crops15
Big data: an optimized approach for cluster initialization15
An optimized hybrid ensemble machine learning model combining multiple classifiers for detecting advanced persistent threats in networks15
IDC: quantitative evaluation benchmark of interpretation methods for deep text classification models15
RILS-ROLS: robust symbolic regression via iterated local search and ordinary least squares15
Multi-level lag scheme significantly improves training efficiency in deep learning: a case study in air quality alert service over sub-tropical area15
Machine learning-based turbulence-risk prediction method for the safe operation of aircrafts15
Deep reinforcement learning for data-efficient weakly supervised business process anomaly detection15
Blind Federated Learning without initial model14
Learning manifolds from non-stationary streams14
Data engineering for sustainable agriculture: developments, challenges, and case studies of a novel IoRT architecture14
Leveraging ensemble learning-based stock preselection with multiobjective investment optimization for stepwise decision-supported portfolio management14
A unified representation and transformation of multi-model data using category theory14
Application of supervised machine learning models in human emotion classification using Tsallis entropy as a feature14
Artifact-free fat-water separation in Dixon MRI using deep learning14
The wisdom of the lexicon crowds: leveraging on decades of lexicon-based sentiment analysis for improved results14
Student academic performance prediction via hypergraph and TabNet13
Exploring AI-driven approaches for unstructured document analysis and future horizons13
Modeling the public attitude towards organic foods: a big data and text mining approach13
A computational analysis of aspect-based sentiment analysis research through bibliometric mapping and topic modeling13
Fitcam: detecting and counting repetitive exercises with deep learning13
An integrated model for evaluation of big data challenges and analytical methods in recommender systems13
Cyberattack detection in wireless sensor networks using a hybrid feature reduction technique with AI and machine learning methods13
Enhancing public art communication through emotional intelligence based on type-2 fractional fuzzy sets13
Advanced machine learning techniques for cardiovascular disease early detection and diagnosis13
Big social data as a service (BSDaaS): a service composition framework for social media analysis13
A scalable association rule learning and recommendation algorithm for large-scale microarray datasets12
Retinal photograph-based deep learning system for detection of hyperthyroidism: a multicenter, diagnostic study12
Application of deep learning technique in next generation sequence experiments12
Enhanced credit card fraud detection based on attention mechanism and LSTM deep model12
Awareness routing algorithm in vehicular ad-hoc networks (VANETs)12
Addressing big data variety using an automated approach for data characterization12
Unified platform for storing, retrieving, and analysing biomechanical applications data using graph database12
AI-driven biomedical perspectives on mental fatigue in the post-COVID-19 Era: trends, research gaps, and future directions12
A novel approach for detecting deep fake videos using graph neural network12
Optimal Markowitz portfolio using returns forecasted with time series and machine learning models12
Optimization-based convolutional neural model for the classification of white blood cells12
Architecture for determining the cleanliness in shared vehicles using an integrated machine vision and indoor air quality-monitoring system12
Multivariate response directional regression: a projective resampling approach12
Task-aware conditional GAN with multi-objective loss for realistic and efficient industrial time series generation12
Feature selection strategies: a comparative analysis of SHAP-value and importance-based methods12
Predicting clinical outcomes of radiotherapy for head and neck squamous cell carcinoma patients using machine learning algorithms12
DLA-E: a deep learning accelerator for endoscopic images classification12
Separable convolutional neural networks for facial expressions recognition11
‘Everything is data’: towards one big data ecosystem using multiple sources of data on higher education in Indonesia11
Simulating imprecise data: sine–cosine and convolution methods with neutrosophic normal distribution11
The power of big data mining to improve the health care system in the United Arab Emirates11
Attribute annotation and bias evaluation in visual datasets for autonomous driving11
Unsupervised feature selection and class labeling for credit card fraud11
Identifying key genetic variants in Alzheimer’s disease progression using Graph Convolutional Networks (GCN) and biological impact analysis11
An ensemble method for estimating the number of clusters in a big data set using multiple random samples11
Bilingual video captioning model for enhanced video retrieval11
Advances in ECG and PCG-based cardiovascular disease classification: a review of deep learning and machine learning methods11
Personalized region of interest recommendation through adaptive fusion of multi-dimensional user preferences11
Detecting Denial of Service attacks using machine learning algorithms10
Data generation and application using the neutrosophic Erlang distribution10
Enhancing Byzantine robustness of federated learning via tripartite adaptive authentication10
A novel intelligent approach for flight delay prediction10
Automatic diagnosis of keratitis using object localization combined with cost-sensitive deep attention convolutional neural network10
Minimum threshold determination method based on dataset characteristics in association rule mining10
Developing a negative speech emotion recognition model for safety systems using deep learning10
Adapting transformer-based language models for heart disease detection and risk factors extraction10
Unsupervised feature learning-based encoder and adversarial networks10
Survey of transformers and towards ensemble learning using transformers for natural language processing10
CMMamba: channel mixing Mamba for time series forecasting10
PF-PSS: a double-layer parallel embedded feature selection method for cancer gene expression data10
Arabic aspect sentiment polarity classification using BERT10
Where you go is who you are: a study on machine learning based semantic privacy attacks10
B-CAT: a model for detecting botnet attacks using deep attack behavior analysis on network traffic flows10
A canonical model for seasonal climate prediction using Big Data10
Aspect-level sentiment classification with fused local and global context10
DAPS diagrams for defining Data Science projects10
HyGraph: a subgraph isomorphism algorithm for efficiently querying big graph databases10
A multi-dimensional hierarchical evaluation system for data quality in trustworthy AI10
Forex market forecasting using machine learning: Systematic Literature Review and meta-analysis10
Shielding networks: enhancing intrusion detection with hybrid feature selection and stack ensemble learning10
Evaluation of the trends in jobs and skill-sets using data analytics: a case study10
Toward a smart health: big data analytics and IoT for real-time miscarriage prediction10
A multi-manifold learning based instance weighting and under-sampling for imbalanced data classification problems10
Trends in real-time artificial intelligence methods in sports: a systematic review10
Exploring the form of big data products and the supporting systems9
ASENN: attention-based selective embedding neural networks for road distress prediction9
A scheduling algorithm to maximize storm throughput in heterogeneous cluster9
An enhanced alpha evolution moss growth optimizer for prognostic prediction in spontaneous intracerebral hemorrhage9
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