Big Data Research

Papers
(The TQCC of Big Data Research is 7. 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
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