Big Data Research

Papers
(The median citation count of Big Data Research is 2. 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
ML-aVAT: A Novel 2-Stage Machine-Learning Approach for Automatic Clustering Tendency Assessment133
Automatic Prediction of T2/T3 Staging of Rectal Cancer Based on Radiomics and Machine Learning88
Optimizing image captioning: The effectiveness of vision transformers and VGG networks for remote sensing80
Quantitative analysis of big data for land resource classification and zoning at the township level in Northern Shaanxi72
Early Pathogen Prediction in Crops Using Nano Biosensors and Neural Network-Based Feature Extraction and Classification69
Improved Tesseract optical character recognition performance on Thai document datasets66
Data Stream Classification Based on Extreme Learning Machine: A Review56
Deep attention dynamic representation learning networks for recommender system review modeling54
A multiscale electricity theft detection model based on feature engineering53
Similarity Measurement for Graph Data: An Improved Centrality and Geometric Perspective-Based Approach48
Development of an integrated data system for regional tourism analysis in Italy: A microdata perspective47
Big Data in organizations: Exploring the adoption of Big Data applications and their impact on organizations in China and the Netherlands33
A methodology to assess and evaluate sites with high potential for stormwater harvesting in Dehradun, India27
Towards Efficient Energy Utilization Using Big Data Analytics in Smart Cities for Electricity Theft Detection25
Hourglass pattern matching for deep aware neural network text recommendation model25
Analysis of Occupational Profiles in the Brazilian Workforce Based on Non-Negative Matrix Factorization23
Visual Analytics of Trajectories with RoseTrajVis22
Editorial Board21
Fog-Computing Based Healthcare Framework for Predicting Encephalitis Outbreak20
Complex data in tourism analysis: A stochastic approach to price competition19
Spatio-Temporal Characteristics of Influenza Burden and Its Influence Factors in Japan in the Past Three Decades: An Influenza Disease Burden Data-Based Modeling Study18
Editorial Board16
Big Data in Forecasting Research: A Literature Review16
A novel approach for job matching and skill recommendation using transformers and the O*NET database16
A Multi-View Filter for Relation-Free Knowledge Graph Completion16
A Novel Big Data Approach for Record and Represent Compliance in the Covid-19 Era16
A Segmented PageRank-Based Value Compensation Method for Personal Data in Alliance Blockchains15
Investigating Influence of Google-Play Application Titles on Success14
Augmented Functional Analysis of Variance (A-fANOVA): Theory and Application to Google Trends for Detecting Differences in Abortion Drugs Queries13
Visual Exploratory Data Analysis for Copy Number Variation Studies in Biomedical Research11
Meta-Learning Based Dynamic Adaptive Relation Learning for Few-Shot Knowledge Graph Completion11
Research on the characteristics of information propagation dynamic on the weighted multiplex Weibo networks10
Distributed Heterogeneous Transfer Learning10
What Is a Multi-Modal Knowledge Graph: A Survey10
Deep semantics-preserving cross-modal hashing10
Epidemic Spreading in Trajectory Networks9
A Facial Expression Recognition Approach for Social IoT Frameworks9
A novel study of kernel graph regularized semi-non-negative matrix factorization with orthogonal subspace for clustering9
GeoYCSB: A Benchmark Framework for the Performance and Scalability Evaluation of Geospatial NoSQL Databases9
BETM: A new pre-trained BERT-guided embedding-based topic model9
Editorial Board9
Editorial Board9
Correcting inconsistencies in knowledge graphs with correlated knowledge9
MLPQ: A Dataset for Path Question Answering over Multilingual Knowledge Graphs8
Adaptive spectral GNN and frequency enhanced self-attention for traffic forecasting8
Intelligent geological interpretation of AMT data based on machine learning8
Machine Learning for Tsunami Waves Forecasting Using Regression Trees8
Multi-granularity enhanced graph convolutional network for aspect sentiment triplet extraction7
Positional-attention based bidirectional deep stacked AutoEncoder for aspect based sentimental analysis7
ImDMI: Improved Distributed M-Invariance model to achieve privacy continuous big data publishing using Apache Spark7
Real-Time Traffic Speed Estimation for Smart Cities with Spatial Temporal Data: A Gated Graph Attention Network Approach6
Integrating Models and Fusing Data in a Deep Ensemble Learning Method for Predicting Epidemic Diseases Outbreak6
Editorial Board6
A Twig-Based Algorithm for Top-k Subgraph Matching in Large-Scale Graph Data6
Compression of big data collected in wind farm based on tensor train decomposition6
Correlation Expert Tuning System for Performance Acceleration6
A Full-Sample Clustering Model Considering Whole Process Optimization of Data6
Deep Learning Techniques for Enhanced Mangrove Land use and Land change from Remote Sensing Imagery: A Blue Carbon Perspective5
Heterogeneous Graph Convolutional Network Based on Correlation Matrix5
The Predictability of Stock Price: Empirical Study on Tick Data in Chinese Stock Market5
Big Data Analytics and Visualization in Traffic Monitoring5
Downsampling for Binary Classification with a Highly Imbalanced Dataset Using Active Learning4
Special Issue on Real-Time Intelligent Systems4
Exogenous variable driven cotton prices prediction: comparison of statistical model with sequence based deep learning models4
Scalable Diversified Top-k Pattern Matching in Big Graphs4
Evaluating Standard Feature Sets Towards Increased Generalisability and Explainability of ML-Based Network Intrusion Detection4
Editorial Board4
The influence of China's exchange rate market on the Belt and Road trade market: Based on temporal two-layer networks4
Explanation-Guided Adversarial Example Attacks4
Evolving Dynamic Bayesian Networks by an Analytical Threshold for Dealing with Data Imputation in Time Series Dataset4
Unmasking hate in the pandemic: A cross-platform study of the COVID-19 infodemic4
A dual algorithmic approach to deal with multiclass imbalanced classification problems4
Editorial Board4
Faster Multidimensional Data Queries on Infrastructure Monitoring Systems3
Scheduling critical periodic jobs with selective partial computations along with gang jobs3
Study on the Temporal and Spatial Evolution Characteristics of Chinese Public's Cognition and Attitude to “Double Reduction” Policy Based on Big Data3
NoSQL data warehouse optimizing models: A comparative study of column-oriented approaches3
Modeling meaningful volatility events to classify monetary policy announcements3
Neural Topic Modeling with Deep Mutual Information Estimation3
Settlement patterns, official statistics and geo-economic dynamics: Evidence from a LADISC approach to Italy3
Accelerating Columnar Storage Based on Asynchronous Skipping Strategy3
Data-Efficient Performance Modeling for Configurable Big Data Frameworks by Reducing Information Overlap Between Training Examples3
An Embedding Model for Knowledge Graph Completion Based on Graph Sub-Hop Convolutional Network3
A Large Comparison of Normalization Methods on Time Series3
Airspace situation analysis of terminal area traffic flow prediction based on big data and machine learning methods3
Chlorophyll-a concentration variations in Bohai sea: Impacts of environmental complexity and human activities based on remote sensing technologies3
Remote sensing-enhanced transfer learning approach for agricultural damage and change detection: A deep learning perspective3
E-word of mouth in sales volume forecasting: Toyota Camry case study3
Explainable malware detection through integrated graph reduction and learning techniques3
Predicting option prices: From the Black-Scholes model to machine learning methods3
Graph Waves3
Bipartite graph partitioning and spatial bootstrapping methods: A case study of innovative startups2
Parallel Framework for Memory-Efficient Computation of Image Descriptors for Megapixel Images2
NGCU: A New RNN Model for Time-Series Data Prediction2
TE-PADN: A poisoning attack defense model based on temporal margin samples2
Editorial Board2
PATH: A discrete-sequence dataset for evaluating online unsupervised anomaly detection approaches for multivariate time series2
SD-SLAM: A semantic SLAM approach for dynamic scenes based on LiDAR point clouds2
Editorial Board2
An Integration visual navigation algorithm for urban air mobility2
Corrigendum to “High Frequency Analysis of Macro News Releases on the Foreign Exchange Market: A Survey of Literature” [Big Data Res. 2 (1) (2015) 33–48]2
Tangible progress: Employing visual metaphors and physical interfaces in AI-based English language learning2
Women in life sciences firms: Gender diversity and roles indicator from data integration2
Scholar's Career Switch from Academia to Industry: Mining and Analysis from AMiner2
Classifier-Based Nonuniform Time Slicing Method for Local Community Evolution Analysis2
Efficiently Mining Colocation Patterns for Range Query2
Efficient training: Federated learning cost analysis2
Crop monitoring using remote sensing land use and land change data: Comparative analysis of deep learning methods using pre-trained CNN models2
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