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 2021-08-01 to 2025-08-01.)
ArticleCitations
Automatic Prediction of T2/T3 Staging of Rectal Cancer Based on Radiomics and Machine Learning107
ML-aVAT: A Novel 2-Stage Machine-Learning Approach for Automatic Clustering Tendency Assessment65
Data Stream Classification Based on Extreme Learning Machine: A Review60
Improved Tesseract optical character recognition performance on Thai document datasets59
Optimizing image captioning: The effectiveness of vision transformers and VGG networks for remote sensing58
Quantitative analysis of big data for land resource classification and zoning at the township level in Northern Shaanxi54
Early Pathogen Prediction in Crops Using Nano Biosensors and Neural Network-Based Feature Extraction and Classification53
Similarity Measurement for Graph Data: An Improved Centrality and Geometric Perspective-Based Approach51
Deep attention dynamic representation learning networks for recommender system review modeling48
A multiscale electricity theft detection model based on feature engineering46
Analysis of Occupational Profiles in the Brazilian Workforce Based on Non-Negative Matrix Factorization44
Visual Analytics of Trajectories with RoseTrajVis44
Development of an integrated data system for regional tourism analysis in Italy: A microdata perspective41
Hourglass pattern matching for deep aware neural network text recommendation model26
Big Data in organizations: Exploring the adoption of Big Data applications and their impact on organizations in China and the Netherlands24
A methodology to assess and evaluate sites with high potential for stormwater harvesting in Dehradun, India22
Towards Efficient Energy Utilization Using Big Data Analytics in Smart Cities for Electricity Theft Detection21
Complex data in tourism analysis: A stochastic approach to price competition20
Editorial Board20
Fog-Computing Based Healthcare Framework for Predicting Encephalitis Outbreak18
Editorial Board16
A Multi-View Filter for Relation-Free Knowledge Graph Completion16
Big Data in Forecasting Research: A Literature Review15
A novel approach for job matching and skill recommendation using transformers and the O*NET database15
A Segmented PageRank-Based Value Compensation Method for Personal Data in Alliance Blockchains15
A Novel Big Data Approach for Record and Represent Compliance in the Covid-19 Era15
Meta-Learning Based Dynamic Adaptive Relation Learning for Few-Shot Knowledge Graph Completion14
Visual Exploratory Data Analysis for Copy Number Variation Studies in Biomedical Research14
Spatio-Temporal Characteristics of Influenza Burden and Its Influence Factors in Japan in the Past Three Decades: An Influenza Disease Burden Data-Based Modeling Study14
Augmented Functional Analysis of Variance (A-fANOVA): Theory and Application to Google Trends for Detecting Differences in Abortion Drugs Queries14
Investigating Influence of Google-Play Application Titles on Success13
Research on the characteristics of information propagation dynamic on the weighted multiplex Weibo networks13
Deep semantics-preserving cross-modal hashing13
Few-Shot Relation Extraction Towards Special Interests12
A Facial Expression Recognition Approach for Social IoT Frameworks11
Visual Exploration of Anomalies in Cyclic Time Series Data with Matrix and Glyph Representations10
Distributed Heterogeneous Transfer Learning10
What Is a Multi-Modal Knowledge Graph: A Survey9
Route Search and Planning: A Survey9
A novel study of kernel graph regularized semi-non-negative matrix factorization with orthogonal subspace for clustering9
Correcting inconsistencies in knowledge graphs with correlated knowledge8
BETM: A new pre-trained BERT-guided embedding-based topic model8
GeoYCSB: A Benchmark Framework for the Performance and Scalability Evaluation of Geospatial NoSQL Databases8
Epidemic Spreading in Trajectory Networks8
Editorial Board8
Scalable and Flexible Two-Phase Ensemble Algorithms for Causality Discovery7
LSDDL: Layer-Wise Sparsification for Distributed Deep Learning7
Multi-granularity enhanced graph convolutional network for aspect sentiment triplet extraction7
Intelligent geological interpretation of AMT data based on machine learning7
ImDMI: Improved Distributed M-Invariance model to achieve privacy continuous big data publishing using Apache Spark7
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