Journal of Big Data

Papers
(The H4-Index of Journal of Big Data is 53. 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 2022-05-01 to 2026-05-01.)
ArticleCitations
Prognostic stratification based on HIF-1α signaling for evaluating hypoxia status and immune landscape in hepatocellular carcinoma733
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 473
A new dimensionality reduction technique based on the Wavelet Transform for cancer classification459
Data provider research overview from a public management perspective: a bibliometric analysis utilizing CiteSpace456
A universal approach for multi-model schema inference456
Context-aware prediction of active and passive user engagement: Evidence from a large online social platform393
FONDUE—Fine-Tuned Optimization: Nurturing Data Usability & Efficiency278
Integrating deep learning and transfer learning: optimizing white blood cells classification in medical educational institutions267
COA_DNN: a hybrid crayfish optimization with deep neural network for detection of rapid eye movement behaviour disorder210
A multi-granular hybrid neural architecture for detecting abusive content in online social networks (OSNs) with contextual awareness198
GB-AFS: graph-based automatic feature selection for multi-class classification via Mean Simplified Silhouette193
Value-at-risk student prescription trees for price personalization186
Breast cancer prediction using gated attentive multimodal deep learning183
Gene selection via improved nuclear reaction optimization algorithm for cancer classification in high-dimensional data177
An architecture for tactical intention recognition of aerial targets based on unsupervised momentum contrast and transformer175
A proposed hybrid framework to improve the accuracy of customer churn prediction in telecom industry143
Identification of tumor antigens and anoikis-based molecular subtypes in the hepatocellular carcinoma immune microenvironment: implications for mRNA vaccine development and precision treatment141
Domain-relevance of influence: characterizing variations in online influence across multiple domains on social media127
Comprehensive study of driver behavior monitoring systems using computer vision and machine learning techniques125
Efficient pollen grain classification using pre-trained Convolutional Neural Networks: a comprehensive study114
Hybrid beluga whale optimization algorithm with multi-strategy for functions and engineering optimization problems104
An artificial intelligence platform for predicting postoperative complications in metastatic spinal surgery: development and validation study104
Designing and evaluating a big data analytics approach for predicting students’ success factors103
Traffic and road conditions monitoring system using extracted information from Twitter100
Social media analysis of Twitter tweets related to ASD in 2019–2020, with particular attention to COVID-19: topic modelling and sentiment analysis99
Exploring differential privacy in CNNs, LSTMs, GRUs, and RNNs for heartbeat detection from multimodal data97
An efficient binary spider wasp optimizer for multi-dimensional knapsack instances: experimental validation and analysis93
Artificial intelligence models for prediction of monthly rainfall without climatic data for meteorological stations in Ethiopia90
Enhancing AQI forecasting accuracy: integrating ARIMA, ANN, and regression techniques with the development of HM4AQI web application90
The adaptive community-response (ACR) method for collecting misinformation on social media89
DiabSense: early diagnosis of non-insulin-dependent diabetes mellitus using smartphone-based human activity recognition and diabetic retinopathy analysis with Graph Neural Network89
Big data in human behavior research: a contextual turn81
A model for investment type recommender system based on the potential investors based on investors and experts feedback using ANFIS and MNN78
Distributed fuzzy clustering algorithm for mixed-mode data in Apache SPARK77
Novel transformer models for wheat disease classification with explainable insights74
Risk and UCON-based access control model for healthcare big data71
A unified IoT architectural model for smart hospitals: enhancing interoperability, security, and efficiency through clinical information systems (CIS)70
Deep-Eware: spatio-temporal social event detection using a hybrid learning model69
Artificial intelligence for improving Nitrogen Dioxide forecasting of Abu Dhabi environment agency ground-based stations66
An adaptive k-means clustering algorithm based on grid and domain centroid weights for digital twins in the context of digital transformation65
Advancing multimodal emotion recognition in big data through prompt engineering and deep adaptive learning65
Survey on terminology extraction from texts63
Review of deep learning methods for remote sensing satellite images classification: experimental survey and comparative analysis61
Developing insights from the collective voice of target users in Twitter60
Scalable approach for high-resolution land cover: a case study in the Mediterranean Basin59
Modeling the impact of BDA-AI on sustainable innovation ambidexterity and environmental performance56
Xai-driven knowledge distillation of large language models for efficient deployment on low-resource devices55
SMT efficiency in supervised ML methods: a throughput and interference analysis54
Disaggregating IMERG satellite precipitation over Czech Republic: an innovative approach using hybrid Extreme Gradient Boosting based on Fuzzy Spatial-Temporal Multivariate Clustering54
Contrastive self-supervised representation learning framework for metal surface defect detection54
Hajj pilgrimage abnormal crowd movement monitoring using optical flow and FCNN54
Novel mathematical model for the classification of music and rhythmic genre using deep neural network53
GEN-SECHEALTH: an AI-powered generative architecture for self-scalable cybersecurity and flexible data privacy protection in intricate healthcare systems53
Efficient surface crack segmentation for industrial and civil applications based on an enhanced YOLOv8 model53
Predicting startup success using two bias-free machine learning: resolving data imbalance using generative adversarial networks53
0.050393104553223