Journal of Big Data

Papers
(The TQCC of Journal of Big Data is 14. 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 2021-10-01 to 2025-10-01.)
ArticleCitations
Prognostic stratification based on HIF-1α signaling for evaluating hypoxia status and immune landscape in hepatocellular carcinoma681
Domain-relevance of influence: characterizing variations in online influence across multiple domains on social media499
GB-AFS: graph-based automatic feature selection for multi-class classification via Mean Simplified Silhouette357
Integrating deep learning and transfer learning: optimizing white blood cells classification in medical educational institutions352
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 307
A new dimensionality reduction technique based on the Wavelet Transform for cancer classification234
An artificial intelligence platform for predicting postoperative complications in metastatic spinal surgery: development and validation study220
Defining user spectra to classify Ethereum users based on their behavior214
Comprehensive study of driver behavior monitoring systems using computer vision and machine learning techniques186
Context-aware prediction of active and passive user engagement: Evidence from a large online social platform181
Efficient pollen grain classification using pre-trained Convolutional Neural Networks: a comprehensive study167
A proposed hybrid framework to improve the accuracy of customer churn prediction in telecom industry164
Hybrid beluga whale optimization algorithm with multi-strategy for functions and engineering optimization problems151
A novel sensitivity-based method for feature selection137
A universal approach for multi-model schema inference133
Identification of tumor antigens and anoikis-based molecular subtypes in the hepatocellular carcinoma immune microenvironment: implications for mRNA vaccine development and precision treatment128
FONDUE—Fine-Tuned Optimization: Nurturing Data Usability & Efficiency123
Gene selection via improved nuclear reaction optimization algorithm for cancer classification in high-dimensional data116
Designing and evaluating a big data analytics approach for predicting students’ success factors116
Breast cancer prediction using gated attentive multimodal deep learning114
Value-at-risk student prescription trees for price personalization111
The stability of different aggregation techniques in ensemble feature selection106
Distributed fuzzy clustering algorithm for mixed-mode data in Apache SPARK105
Big data in human behavior research: a contextual turn101
An adaptive k-means clustering algorithm based on grid and domain centroid weights for digital twins in the context of digital transformation99
The adaptive community-response (ACR) method for collecting misinformation on social media84
Exploring differential privacy in CNNs, LSTMs, GRUs, and RNNs for heartbeat detection from multimodal data81
A model for investment type recommender system based on the potential investors based on investors and experts feedback using ANFIS and MNN79
An efficient binary spider wasp optimizer for multi-dimensional knapsack instances: experimental validation and analysis77
Survey on terminology extraction from texts77
Artificial intelligence for improving Nitrogen Dioxide forecasting of Abu Dhabi environment agency ground-based stations76
A unified IoT architectural model for smart hospitals: enhancing interoperability, security, and efficiency through clinical information systems (CIS)75
Advancing multimodal emotion recognition in big data through prompt engineering and deep adaptive learning73
Artificial intelligence models for prediction of monthly rainfall without climatic data for meteorological stations in Ethiopia72
DiabSense: early diagnosis of non-insulin-dependent diabetes mellitus using smartphone-based human activity recognition and diabetic retinopathy analysis with Graph Neural Network70
The use of Big Data Analytics in healthcare68
Review of deep learning methods for remote sensing satellite images classification: experimental survey and comparative analysis67
Deep-Eware: spatio-temporal social event detection using a hybrid learning model66
Pre-trained transformer-based language models for Sundanese64
Risk and UCON-based access control model for healthcare big data63
Traffic and road conditions monitoring system using extracted information from Twitter62
Social media analysis of Twitter tweets related to ASD in 2019–2020, with particular attention to COVID-19: topic modelling and sentiment analysis59
Machine learning techniques to predict daily rainfall amount58
SMT efficiency in supervised ML methods: a throughput and interference analysis55
Advancing hospital healthcare: achieving IoT-based secure health monitoring through multilayer machine learning55
Surface defect detection on bolt surface using a real-time fine-tuned YOLOv6 model53
Developing insights from the collective voice of target users in Twitter52
Hajj pilgrimage abnormal crowd movement monitoring using optical flow and FCNN52
Novel mathematical model for the classification of music and rhythmic genre using deep neural network50
Traffic flow prediction based on depthwise separable convolution fusion network50
Fast agglomerative clustering using approximate traveling salesman solutions49
Scalable approach for high-resolution land cover: a case study in the Mediterranean Basin49
Meta-transformer: leveraging metaheuristic algorithms for agricultural commodity price forecasting49
Efficient surface crack segmentation for industrial and civil applications based on an enhanced YOLOv8 model46
Predicting startup success using two bias-free machine learning: resolving data imbalance using generative adversarial networks46
Disaggregating IMERG satellite precipitation over Czech Republic: an innovative approach using hybrid Extreme Gradient Boosting based on Fuzzy Spatial-Temporal Multivariate Clustering45
IoT information theft prediction using ensemble feature selection45
Hybrid wrapper feature selection method based on genetic algorithm and extreme learning machine for intrusion detection45
From distributed machine to distributed deep learning: a comprehensive survey44
Modeling the impact of BDA-AI on sustainable innovation ambidexterity and environmental performance44
Short-term photovoltaic power production forecasting based on novel hybrid data-driven models44
Machine learning-based network intrusion detection for big and imbalanced data using oversampling, stacking feature embedding and feature extraction43
Part of speech tagging: a systematic review of deep learning and machine learning approaches43
Contrastive self-supervised representation learning framework for metal surface defect detection43
Optimizing IoT intrusion detection system: feature selection versus feature extraction in machine learning42
Xai-driven knowledge distillation of large language models for efficient deployment on low-resource devices42
Machine learning based customer churn prediction in home appliance rental business41
Air-pollution prediction in smart city, deep learning approach41
Transforming OpenAPI Specification 3.0 documents into RDF-based semantic web services40
Siamese Graph Convolutional Split-Attention Network with NLP based Social Sentimental Data for enhanced stock price predictions39
Empowering sentiment analysis in social media: a comprehensive approach to enhance the classification of abusive Tamil comments using transformer models38
Fuzzy deep learning architecture for cucumber plant disease detection and classification38
Churn management in hospitality37
The use of class imbalanced learning methods on ULSAM data to predict the case–control status in genome-wide association studies37
Enhancing cardiac diagnostics: a deep learning ensemble approach for precise ECG image classification36
Efficient spatial data partitioning for distributed $$k$$NN joins36
Comparative analysis of binary and one-class classification techniques for credit card fraud data36
Emotion AWARE: an artificial intelligence framework for adaptable, robust, explainable, and multi-granular emotion analysis36
Enhancing academic performance prediction with temporal graph networks for massive open online courses36
PoLYTC: a novel BERT-based classifier to detect political leaning of YouTube videos based on their titles36
Governance and sustainability of distributed continuum systems: a big data approach33
Machine learning model for malaria risk prediction based on mutation location of large-scale genetic variation data33
Multi combination pattern labeling by using deep learning for chameleon rotary machine environment33
Metamorphosing forex: advancements in volatility forecasting using a modified fuzzy time series framework33
A novel ST-iTransformer model for spatio-temporal ambient air pollution forecasting32
Self-organizing maps to evaluate optimal strategies for balancing binary class distributions: a methodological approach32
Image captioning model using attention and object features to mimic human image understanding32
Helformer: an attention-based deep learning model for cryptocurrency price forecasting32
Opinion mining for national security: techniques, domain applications, challenges and research opportunities29
Multi-sample $$\zeta $$-mixup: richer, more realistic synthetic samples from a p-series interpolant29
Ramifications of incorrect image segmentations; emphasizing on the potential effects on deep learning methods failure29
Privacy preserved incremental record linkage29
Optimizing group utility in itinerary planning: a strategic and crowd-aware approach29
Integration of image segmentation and fuzzy theory to improve the accuracy of damage detection areas in traffic accidents29
Comprehensive review of artificial intelligence applications in renewable energy systems: current implementations and emerging trends28
Research on sentiment analysis method of opinion mining based on multi-model fusion transfer learning28
Normalization and outlier removal in class center-based firefly algorithm for missing value imputation28
Adaptive multiple imputations of missing values using the class center28
Liquid biopsy-based identification of prognostic and immunotherapeutically relevant gene signatures in lower grade glioma28
A deep contrastive learning-based image retrieval system for automatic detection of infectious cattle diseases27
Deep features fusion for KCF-based moving object tracking26
Data augmentation for dense passage retrieval using corpus-passage frequency-based token deletion26
A deep learning-based framework for large-scale plant disease detection using big data analytics in precision agriculture26
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 study25
Big Data Analytics-based life cycle sustainability assessment for sustainable manufacturing enterprises evaluation25
Data pipeline approaches in serverless computing: a taxonomy, review, and research trends25
Distinguishing novel coronavirus influenza A virus pneumonia with CT radiomics and clinical features24
Online variational Gaussian process for time series data24
HepScope: CNN-based single-cell discrimination of malignant hepatocytes24
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
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
Deep learning for emotion analysis in Arabic tweets23
Tumor antigens and immune subtypes of glioblastoma: the fundamentals of mRNA vaccine and individualized immunotherapy development22
A systematic review on big data applications and scope for industrial processing and healthcare sectors22
Federated Freeze BERT for text classification22
A systematic review of AI-enhanced techniques in credit card fraud detection22
A novel sub-network level ensemble deep neural network with a regularized loss function to improve prediction performance22
Plant disease detection and classification techniques: a comparative study of the performances21
Data analysis for vague contingency data21
Sentiment analysis classification system using hybrid BERT models21
Dissimilarity space reinforced with manifold learning and latent space modeling for improved pattern classification21
Stress detection using natural language processing and machine learning over social interactions21
An enhanced random forest approach using CoClust clustering: MIMIC-III and SMS spam collection application20
Iterative cleaning and learning of big highly-imbalanced fraud data using unsupervised learning20
FEL-FRN: fusion ECA long-CLIP feature reconstruction network for few-shot classification20
Extended version of decision making model for industrial robot selection via fractional continuous fuzzy information20
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
Spatial heterogeneities in acute lower respiratory infections prevalence and determinants across Ethiopian administrative zones20
De-occlusion and recognition of frontal face images: a comparative study of multiple imputation methods20
A fuel consumption-based method for developing local-specific CO2 emission rate database using open-source big data19
A machine learning-based credit risk prediction engine system using a stacked classifier and a filter-based feature selection method19
Utilizing AI models to identify and predict phase transition patterns of bipolar disorder patients19
Unsupervised label generation for severely imbalanced fraud data19
Deep learning enhancing banking services: a hybrid transaction classification and cash flow prediction approach19
An enhanced machine learning framework for accurate diagnosis of tuberculous pleural effusion19
Hyperdimensional computing: a framework for stochastic computation and symbolic AI19
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
Big data processing using hybrid Gaussian mixture model with salp swarm algorithm19
Operationalizing and automating Data Governance19
Data reduction techniques for highly imbalanced medicare Big Data19
The state of metaverse research: a bibliometric visual analysis based on CiteSpace18
Evaluation is key: a survey on evaluation measures for synthetic time series18
Main memory controller with multiple media technologies for big data workloads18
Photograph-based machine learning approach for automated detection and differentiation of aerial blight disease in soybean crops18
An optimized hybrid ensemble machine learning model combining multiple classifiers for detecting advanced persistent threats in networks18
Deep reinforcement learning for data-efficient weakly supervised business process anomaly detection18
Accelerating neural network training with distributed asynchronous and selective optimization (DASO)17
Machine learning-based turbulence-risk prediction method for the safe operation of aircrafts17
Introducing Mplots: scaling time series recurrence plots to massive datasets17
Data analysis for sequential contingencies under uncertainty17
Bilingual hate speech detection on social media: Amharic and Afaan Oromo17
IGRF-RFE: a hybrid feature selection method for MLP-based network intrusion detection on UNSW-NB15 dataset17
Transfer learning approach based on satellite image time series for the crop classification problem17
Breast cancer diagnosis with MFF-HistoNet: a multi-modal feature fusion network integrating CNNs and quantum tensor networks17
RILS-ROLS: robust symbolic regression via iterated local search and ordinary least squares17
Big data: an optimized approach for cluster initialization17
Potential for the use of large unstructured data resources by public innovation support institutions17
Evaluation of predictive performance of modeling hyperuricemia using medical big data: comparison of data preprocessing methods16
A real-time predicting online tool for detection of people’s emotions from Arabic tweets based on big data platforms16
Multi-level lag scheme significantly improves training efficiency in deep learning: a case study in air quality alert service over sub-tropical area16
An efficient weighted slime mould algorithm for engineering optimization16
Combining review elements for modelling various multi-criteria collaborative recommendation models16
Capturing research literature attitude towards sustainable development goals: an LLM-based topic modeling approach16
Fitcam: detecting and counting repetitive exercises with deep learning15
Scalable and space-efficient Robust Matroid Center algorithms15
Decision support system for handling control decisions and decision-maker related to supply chain15
Data engineering for sustainable agriculture: developments, challenges, and case studies of a novel IoRT architecture15
Towards a deep learning-based outlier detection approach in the context of streaming data15
Machine learning-based interactive dynamic resilience assessment for complex hydropower systems15
IDC: quantitative evaluation benchmark of interpretation methods for deep text classification models15
Leveraging ensemble learning-based stock preselection with multiobjective investment optimization for stepwise decision-supported portfolio management15
Learning manifolds from non-stationary streams15
Readers’ affect: predicting and understanding readers’ emotions with deep learning15
Computational methods for predicting the outcome of thoracic transplantation15
Student academic performance prediction via hypergraph and TabNet15
The wisdom of the lexicon crowds: leveraging on decades of lexicon-based sentiment analysis for improved results14
A computational analysis of aspect-based sentiment analysis research through bibliometric mapping and topic modeling14
Cyberattack detection in wireless sensor networks using a hybrid feature reduction technique with AI and machine learning methods14
A scalable association rule learning and recommendation algorithm for large-scale microarray datasets14
Enhancing public art communication through emotional intelligence based on type-2 fractional fuzzy sets14
Artifact-free fat-water separation in Dixon MRI using deep learning14
Blind Federated Learning without initial model14
Exploring AI-driven approaches for unstructured document analysis and future horizons14
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
Application of supervised machine learning models in human emotion classification using Tsallis entropy as a feature14
Advanced machine learning techniques for cardiovascular disease early detection and diagnosis14
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