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 2021-08-01 to 2025-08-01.)
ArticleCitations
GB-AFS: graph-based automatic feature selection for multi-class classification via Mean Simplified Silhouette633
Domain-relevance of influence: characterizing variations in online influence across multiple domains on social media452
Prognostic stratification based on HIF-1α signaling for evaluating hypoxia status and immune landscape in hepatocellular carcinoma337
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 309
Value-at-risk student prescription trees for price personalization279
A new dimensionality reduction technique based on the Wavelet Transform for cancer classification201
An artificial intelligence platform for predicting postoperative complications in metastatic spinal surgery: development and validation study194
Missing values compensation in duplicates detection using hot deck method188
A universal approach for multi-model schema inference169
Identification of tumor antigens and anoikis-based molecular subtypes in the hepatocellular carcinoma immune microenvironment: implications for mRNA vaccine development and precision treatment150
Gene selection via improved nuclear reaction optimization algorithm for cancer classification in high-dimensional data145
Defining user spectra to classify Ethereum users based on their behavior135
Breast cancer prediction using gated attentive multimodal deep learning131
Comprehensive study of driver behavior monitoring systems using computer vision and machine learning techniques122
Hybrid beluga whale optimization algorithm with multi-strategy for functions and engineering optimization problems112
FONDUE—Fine-Tuned Optimization: Nurturing Data Usability & Efficiency111
Designing and evaluating a big data analytics approach for predicting students’ success factors105
Integrating deep learning and transfer learning: optimizing white blood cells classification in medical educational institutions104
Context-aware prediction of active and passive user engagement: Evidence from a large online social platform99
The stability of different aggregation techniques in ensemble feature selection98
A proposed hybrid framework to improve the accuracy of customer churn prediction in telecom industry98
Efficient pollen grain classification using pre-trained Convolutional Neural Networks: a comprehensive study97
A novel sensitivity-based method for feature selection95
Distributed fuzzy clustering algorithm for mixed-mode data in Apache SPARK91
A model for investment type recommender system based on the potential investors based on investors and experts feedback using ANFIS and MNN88
Deep-Eware: spatio-temporal social event detection using a hybrid learning model77
Big data in human behavior research: a contextual turn75
Pre-trained transformer-based language models for Sundanese74
An efficient binary spider wasp optimizer for multi-dimensional knapsack instances: experimental validation and analysis72
DiabSense: early diagnosis of non-insulin-dependent diabetes mellitus using smartphone-based human activity recognition and diabetic retinopathy analysis with Graph Neural Network70
Survey on terminology extraction from texts69
A unified IoT architectural model for smart hospitals: enhancing interoperability, security, and efficiency through clinical information systems (CIS)65
Artificial intelligence for improving Nitrogen Dioxide forecasting of Abu Dhabi environment agency ground-based stations65
An adaptive k-means clustering algorithm based on grid and domain centroid weights for digital twins in the context of digital transformation64
The adaptive community-response (ACR) method for collecting misinformation on social media63
Social media analysis of Twitter tweets related to ASD in 2019–2020, with particular attention to COVID-19: topic modelling and sentiment analysis63
Traffic and road conditions monitoring system using extracted information from Twitter59
Risk and UCON-based access control model for healthcare big data59
Machine learning techniques to predict daily rainfall amount56
Review of deep learning methods for remote sensing satellite images classification: experimental survey and comparative analysis56
The use of Big Data Analytics in healthcare55
Meta-transformer: leveraging metaheuristic algorithms for agricultural commodity price forecasting53
Artificial intelligence models for prediction of monthly rainfall without climatic data for meteorological stations in Ethiopia53
SMT efficiency in supervised ML methods: a throughput and interference analysis53
Hajj pilgrimage abnormal crowd movement monitoring using optical flow and FCNN49
Traffic flow prediction based on depthwise separable convolution fusion network49
Modeling the impact of BDA-AI on sustainable innovation ambidexterity and environmental performance48
Predicting startup success using two bias-free machine learning: resolving data imbalance using generative adversarial networks47
Fast agglomerative clustering using approximate traveling salesman solutions47
IoT information theft prediction using ensemble feature selection47
Scalable approach for high-resolution land cover: a case study in the Mediterranean Basin47
Machine learning-based network intrusion detection for big and imbalanced data using oversampling, stacking feature embedding and feature extraction46
Air-pollution prediction in smart city, deep learning approach45
Disaggregating IMERG satellite precipitation over Czech Republic: an innovative approach using hybrid Extreme Gradient Boosting based on Fuzzy Spatial-Temporal Multivariate Clustering44
Machine learning based customer churn prediction in home appliance rental business44
Novel mathematical model for the classification of music and rhythmic genre using deep neural network44
Xai-driven knowledge distillation of large language models for efficient deployment on low-resource devices44
Advancing hospital healthcare: achieving IoT-based secure health monitoring through multilayer machine learning44
Short-term photovoltaic power production forecasting based on novel hybrid data-driven models44
Part of speech tagging: a systematic review of deep learning and machine learning approaches43
Surface defect detection on bolt surface using a real-time fine-tuned YOLOv6 model43
Developing insights from the collective voice of target users in Twitter43
Efficient surface crack segmentation for industrial and civil applications based on an enhanced YOLOv8 model40
Contrastive self-supervised representation learning framework for metal surface defect detection39
From distributed machine to distributed deep learning: a comprehensive survey39
Metamorphosing forex: advancements in volatility forecasting using a modified fuzzy time series framework38
Optimizing IoT intrusion detection system: feature selection versus feature extraction in machine learning38
Hybrid wrapper feature selection method based on genetic algorithm and extreme learning machine for intrusion detection38
Transforming OpenAPI Specification 3.0 documents into RDF-based semantic web services37
Governance and sustainability of distributed continuum systems: a big data approach36
Multi combination pattern labeling by using deep learning for chameleon rotary machine environment36
A novel ST-iTransformer model for spatio-temporal ambient air pollution forecasting36
Churn management in hospitality35
The use of class imbalanced learning methods on ULSAM data to predict the case–control status in genome-wide association studies35
Emotion AWARE: an artificial intelligence framework for adaptable, robust, explainable, and multi-granular emotion analysis35
Fuzzy deep learning architecture for cucumber plant disease detection and classification34
Helformer: an attention-based deep learning model for cryptocurrency price forecasting33
Machine learning model for malaria risk prediction based on mutation location of large-scale genetic variation data33
Self-organizing maps to evaluate optimal strategies for balancing binary class distributions: a methodological approach33
Enhancing cardiac diagnostics: a deep learning ensemble approach for precise ECG image classification33
Comparative analysis of binary and one-class classification techniques for credit card fraud data32
Efficient spatial data partitioning for distributed $$k$$NN joins31
PoLYTC: a novel BERT-based classifier to detect political leaning of YouTube videos based on their titles30
Enhancing academic performance prediction with temporal graph networks for massive open online courses30
Image captioning model using attention and object features to mimic human image understanding30
Siamese Graph Convolutional Split-Attention Network with NLP based Social Sentimental Data for enhanced stock price predictions30
Ramifications of incorrect image segmentations; emphasizing on the potential effects on deep learning methods failure29
Integration of image segmentation and fuzzy theory to improve the accuracy of damage detection areas in traffic accidents29
Privacy preserved incremental record linkage29
Multi-sample $$\zeta $$-mixup: richer, more realistic synthetic samples from a p-series interpolant29
Deep features fusion for KCF-based moving object tracking28
Comprehensive review of artificial intelligence applications in renewable energy systems: current implementations and emerging trends27
Opinion mining for national security: techniques, domain applications, challenges and research opportunities27
Adaptive multiple imputations of missing values using the class center27
Research on sentiment analysis method of opinion mining based on multi-model fusion transfer learning26
The use of knowledge extraction in predicting customer churn in B2B26
Uncertainty-aware approach for multiple imputation using conventional and machine learning models: a real-world data study26
Data pipeline approaches in serverless computing: a taxonomy, review, and research trends26
Liquid biopsy-based identification of prognostic and immunotherapeutically relevant gene signatures in lower grade glioma26
Normalization and outlier removal in class center-based firefly algorithm for missing value imputation26
Online variational Gaussian process for time series data25
A deep contrastive learning-based image retrieval system for automatic detection of infectious cattle diseases25
HepScope: CNN-based single-cell discrimination of malignant hepatocytes25
Big Data Analytics-based life cycle sustainability assessment for sustainable manufacturing enterprises evaluation25
Distinguishing novel coronavirus influenza A virus pneumonia with CT radiomics and clinical features24
Tumor antigens and immune subtypes of glioblastoma: the fundamentals of mRNA vaccine and individualized immunotherapy development23
Text summarization based on semantic graphs: an abstract meaning representation graph-to-text deep learning approach23
A novel time efficient learning-based approach for smart intrusion detection system23
A novel sub-network level ensemble deep neural network with a regularized loss function to improve prediction performance23
Federated Freeze BERT for text classification23
A systematic review on big data applications and scope for industrial processing and healthcare sectors23
Deep learning for emotion analysis in Arabic tweets23
Deep learning for component fault detection in electricity transmission lines22
Identification of key drought-tolerant genes in soybean using an integrative data-driven feature engineering pipeline22
Optical electrocardiogram based heart disease prediction using hybrid deep learning22
Stress detection using natural language processing and machine learning over social interactions22
A systematic review of AI-enhanced techniques in credit card fraud detection22
Data analysis for vague contingency data21
Plant disease detection and classification techniques: a comparative study of the performances21
Sentiment analysis classification system using hybrid BERT models21
De-occlusion and recognition of frontal face images: a comparative study of multiple imputation methods20
The differences in gastric cancer epidemiological data between SEER and GBD: a joinpoint and age-period-cohort analysis20
Multi strategy Horned Lizard Optimization Algorithm for complex optimization and advanced feature selection problems20
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
A fuel consumption-based method for developing local-specific CO2 emission rate database using open-source big data20
Hemorrhage semantic segmentation in fundus images for the diagnosis of diabetic retinopathy by using a convolutional neural network19
Utilizing AI models to identify and predict phase transition patterns of bipolar disorder patients19
FEL-FRN: fusion ECA long-CLIP feature reconstruction network for few-shot classification19
An enhanced machine learning framework for accurate diagnosis of tuberculous pleural effusion19
Evaluation is key: a survey on evaluation measures for synthetic time series19
Big data processing using hybrid Gaussian mixture model with salp swarm algorithm18
Hyperdimensional computing: a framework for stochastic computation and symbolic AI18
Extended version of decision making model for industrial robot selection via fractional continuous fuzzy information18
Data reduction techniques for highly imbalanced medicare Big Data18
A real-time predicting online tool for detection of people’s emotions from Arabic tweets based on big data platforms17
Unsupervised label generation for severely imbalanced fraud data17
The state of metaverse research: a bibliometric visual analysis based on CiteSpace17
A machine learning-based credit risk prediction engine system using a stacked classifier and a filter-based feature selection method17
Bilingual hate speech detection on social media: Amharic and Afaan Oromo17
Unsupervised hyperspectral image segmentation of films: a hierarchical clustering-based approach17
Deep learning enhancing banking services: a hybrid transaction classification and cash flow prediction approach17
Operationalizing and automating Data Governance17
Breast cancer diagnosis with MFF-HistoNet: a multi-modal feature fusion network integrating CNNs and quantum tensor networks17
Iterative cleaning and learning of big highly-imbalanced fraud data using unsupervised learning17
An enhanced random forest approach using CoClust clustering: MIMIC-III and SMS spam collection application17
Data analysis for sequential contingencies under uncertainty16
Main memory controller with multiple media technologies for big data workloads16
Scalable and space-efficient Robust Matroid Center algorithms16
Readers’ affect: predicting and understanding readers’ emotions with deep learning16
Accelerating neural network training with distributed asynchronous and selective optimization (DASO)16
Evaluation of predictive performance of modeling hyperuricemia using medical big data: comparison of data preprocessing methods16
An efficient weighted slime mould algorithm for engineering optimization16
Introducing Mplots: scaling time series recurrence plots to massive datasets16
Machine learning-based interactive dynamic resilience assessment for complex hydropower systems16
Transfer learning approach based on satellite image time series for the crop classification problem16
Multi-level lag scheme significantly improves training efficiency in deep learning: a case study in air quality alert service over sub-tropical area15
Big data: an optimized approach for cluster initialization15
Photograph-based machine learning approach for automated detection and differentiation of aerial blight disease in soybean crops15
Deep reinforcement learning for data-efficient weakly supervised business process anomaly detection15
IDC: quantitative evaluation benchmark of interpretation methods for deep text classification models15
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
Potential for the use of large unstructured data resources by public innovation support institutions15
Decision support system for handling control decisions and decision-maker related to supply chain15
Computational methods for predicting the outcome of thoracic transplantation15
RILS-ROLS: robust symbolic regression via iterated local search and ordinary least squares15
Machine learning-based turbulence-risk prediction method for the safe operation of aircrafts15
Towards a deep learning-based outlier detection approach in the context of streaming data15
Fitcam: detecting and counting repetitive exercises with deep learning15
Combining review elements for modelling various multi-criteria collaborative recommendation models15
Cyberattack detection in wireless sensor networks using a hybrid feature reduction technique with AI and machine learning methods14
Student academic performance prediction via hypergraph and TabNet14
Application of supervised machine learning models in human emotion classification using Tsallis entropy as a feature14
Blind Federated Learning without initial model14
Modeling the public attitude towards organic foods: a big data and text mining approach14
A unified representation and transformation of multi-model data using category theory14
Learning manifolds from non-stationary streams14
The wisdom of the lexicon crowds: leveraging on decades of lexicon-based sentiment analysis for improved results14
Advanced machine learning techniques for cardiovascular disease early detection and diagnosis14
IoT Big Data provenance scheme using blockchain on Hadoop ecosystem14
A computational analysis of aspect-based sentiment analysis research through bibliometric mapping and topic modeling14
Artifact-free fat-water separation in Dixon MRI using deep learning14
Exploring AI-driven approaches for unstructured document analysis and future horizons14
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
A scalable association rule learning and recommendation algorithm for large-scale microarray datasets13
An integrated model for evaluation of big data challenges and analytical methods in recommender systems13
Awareness routing algorithm in vehicular ad-hoc networks (VANETs)13
Application of deep learning technique in next generation sequence experiments13
Addressing big data variety using an automated approach for data characterization13
Big social data as a service (BSDaaS): a service composition framework for social media analysis13
DLA-E: a deep learning accelerator for endoscopic images classification13
Architecture for determining the cleanliness in shared vehicles using an integrated machine vision and indoor air quality-monitoring system13
Feature selection strategies: a comparative analysis of SHAP-value and importance-based methods12
Optimal Markowitz portfolio using returns forecasted with time series and machine learning models12
Advances in ECG and PCG-based cardiovascular disease classification: a review of deep learning and machine learning methods12
Attribute annotation and bias evaluation in visual datasets for autonomous driving12
Bilingual video captioning model for enhanced video retrieval12
Unified platform for storing, retrieving, and analysing biomechanical applications data using graph database12
Retinal photograph-based deep learning system for detection of hyperthyroidism: a multicenter, diagnostic study12
Enhanced credit card fraud detection based on attention mechanism and LSTM deep model12
A multi-manifold learning based instance weighting and under-sampling for imbalanced data classification problems12
Separable convolutional neural networks for facial expressions recognition12
Multivariate response directional regression: a projective resampling approach12
A novel approach for detecting deep fake videos using graph neural network12
A canonical model for seasonal climate prediction using Big Data12
Developing a negative speech emotion recognition model for safety systems using deep learning12
Trends in real-time artificial intelligence methods in sports: a systematic review11
Adapting transformer-based language models for heart disease detection and risk factors extraction11
‘Everything is data’: towards one big data ecosystem using multiple sources of data on higher education in Indonesia11
Unsupervised feature selection and class labeling for credit card fraud11
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
Unsupervised feature learning-based encoder and adversarial networks11
An ensemble method for estimating the number of clusters in a big data set using multiple random samples11
Identifying key genetic variants in Alzheimer’s disease progression using Graph Convolutional Networks (GCN) and biological impact analysis11
Sentiment-based predictive models for online purchases in the era of marketing 5.0: a systematic review10
PF-PSS: a double-layer parallel embedded feature selection method for cancer gene expression data10
Shielding networks: enhancing intrusion detection with hybrid feature selection and stack ensemble learning10
Using passive Wi-Fi for community crowd sensing during the COVID-19 pandemic10
HyGraph: a subgraph isomorphism algorithm for efficiently querying big graph databases10
Detecting Denial of Service attacks using machine learning algorithms10
B-CAT: a model for detecting botnet attacks using deep attack behavior analysis on network traffic flows10
Data generation and application using the neutrosophic Erlang distribution10
Identification of mRNA vaccines and conserved ferroptosis related immune landscape for individual precision treatment in bladder cancer10
Where you go is who you are: a study on machine learning based semantic privacy attacks10
Forex market forecasting using machine learning: Systematic Literature Review and meta-analysis10
Survey of transformers and towards ensemble learning using transformers for natural language processing10
Personalized region of interest recommendation through adaptive fusion of multi-dimensional user preferences10
CMMamba: channel mixing Mamba for time series forecasting10
Aspect-level sentiment classification with fused local and global context10
Automatic diagnosis of keratitis using object localization combined with cost-sensitive deep attention convolutional neural network10
An LLM-guided platform for multi-granular collection and management of data provenance10
Twitter sentiment analysis using hybrid gated attention recurrent network10
Toward a smart health: big data analytics and IoT for real-time miscarriage prediction10
DAPS diagrams for defining Data Science projects10
Minimum threshold determination method based on dataset characteristics in association rule mining10
A novel intelligent approach for flight delay prediction9
Poisson logit hurdle model with associated factors of perinatal mortality in Ethiopia9
Classification of long-term clinical course of Parkinson’s disease using clustering algorithms on social support registry database9
Leveraging deep learning for risk prediction and resilience in supply chains: insights from critical industries9
An accuracy-privacy optimization framework considering user’s privacy requirements for data stream mining9
Exploring the form of big data products and the supporting systems9
Detecting unregistered users through semi-supervised anomaly detection with similarity datasets9
Remote patient monitoring and classifying using the internet of things platform combined with cloud computing9
An enhanced alpha evolution moss growth optimizer for prognostic prediction in spontaneous intracerebral hemorrhage9
ASENN: attention-based selective embedding neural networks for road distress prediction9
Sub-spatial prediction of votes integrating socioeconomic, educational, and age strata with machine learning and topological data analysis9
A scheduling algorithm to maximize storm throughput in heterogeneous cluster9
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