Big Data Research

Papers
(The TQCC of Big Data Research is 8. 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 2021-11-01 to 2025-11-01.)
ArticleCitations
Optimizing image captioning: The effectiveness of vision transformers and VGG networks for remote sensing122
Quantitative analysis of big data for land resource classification and zoning at the township level in Northern Shaanxi81
Improved Tesseract optical character recognition performance on Thai document datasets71
Early Pathogen Prediction in Crops Using Nano Biosensors and Neural Network-Based Feature Extraction and Classification64
ML-aVAT: A Novel 2-Stage Machine-Learning Approach for Automatic Clustering Tendency Assessment63
Data Stream Classification Based on Extreme Learning Machine: A Review63
Automatic Prediction of T2/T3 Staging of Rectal Cancer Based on Radiomics and Machine Learning63
Similarity Measurement for Graph Data: An Improved Centrality and Geometric Perspective-Based Approach54
A multiscale electricity theft detection model based on feature engineering53
Deep attention dynamic representation learning networks for recommender system review modeling52
Hourglass pattern matching for deep aware neural network text recommendation model47
Development of an integrated data system for regional tourism analysis in Italy: A microdata perspective46
Big Data in organizations: Exploring the adoption of Big Data applications and their impact on organizations in China and the Netherlands45
A methodology to assess and evaluate sites with high potential for stormwater harvesting in Dehradun, India30
Towards Efficient Energy Utilization Using Big Data Analytics in Smart Cities for Electricity Theft Detection25
Visual Analytics of Trajectories with RoseTrajVis25
Analysis of Occupational Profiles in the Brazilian Workforce Based on Non-Negative Matrix Factorization23
Complex data in tourism analysis: A stochastic approach to price competition23
Editorial Board20
A novel approach for job matching and skill recommendation using transformers and the O*NET database20
Fog-Computing Based Healthcare Framework for Predicting Encephalitis Outbreak20
A Novel Big Data Approach for Record and Represent Compliance in the Covid-19 Era18
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
A Multi-View Filter for Relation-Free Knowledge Graph Completion17
Editorial Board16
Big Data in Forecasting Research: A Literature Review16
A Segmented PageRank-Based Value Compensation Method for Personal Data in Alliance Blockchains16
Visual Exploratory Data Analysis for Copy Number Variation Studies in Biomedical Research15
Investigating Influence of Google-Play Application Titles on Success15
Augmented Functional Analysis of Variance (A-fANOVA): Theory and Application to Google Trends for Detecting Differences in Abortion Drugs Queries15
Meta-Learning Based Dynamic Adaptive Relation Learning for Few-Shot Knowledge Graph Completion14
Deep semantics-preserving cross-modal hashing14
Editorial Board14
A novel study of kernel graph regularized semi-non-negative matrix factorization with orthogonal subspace for clustering14
Distributed Heterogeneous Transfer Learning13
Research on the characteristics of information propagation dynamic on the weighted multiplex Weibo networks12
Route Search and Planning: A Survey11
Visual Exploration of Anomalies in Cyclic Time Series Data with Matrix and Glyph Representations10
A Facial Expression Recognition Approach for Social IoT Frameworks10
Few-Shot Relation Extraction Towards Special Interests10
What Is a Multi-Modal Knowledge Graph: A Survey10
Editorial Board9
Intelligent geological interpretation of AMT data based on machine learning9
Epidemic Spreading in Trajectory Networks9
GeoYCSB: A Benchmark Framework for the Performance and Scalability Evaluation of Geospatial NoSQL Databases9
Correcting inconsistencies in knowledge graphs with correlated knowledge9
BETM: A new pre-trained BERT-guided embedding-based topic model9
Machine Learning for Tsunami Waves Forecasting Using Regression Trees8
Multi-granularity enhanced graph convolutional network for aspect sentiment triplet extraction8
Positional-attention based bidirectional deep stacked AutoEncoder for aspect based sentimental analysis8
LSDDL: Layer-Wise Sparsification for Distributed Deep Learning8
Adaptive spectral GNN and frequency enhanced self-attention for traffic forecasting8
ImDMI: Improved Distributed M-Invariance model to achieve privacy continuous big data publishing using Apache Spark8
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