OOIR: Observatory of International 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 2021-11-01 to 2025-11-01.)

Article	Citations
Optimizing image captioning: The effectiveness of vision transformers and VGG networks for remote sensing	122
Quantitative analysis of big data for land resource classification and zoning at the township level in Northern Shaanxi	81
Improved Tesseract optical character recognition performance on Thai document datasets	71
Early Pathogen Prediction in Crops Using Nano Biosensors and Neural Network-Based Feature Extraction and Classification	64
Data Stream Classification Based on Extreme Learning Machine: A Review	63
Automatic Prediction of T2/T3 Staging of Rectal Cancer Based on Radiomics and Machine Learning	63
ML-aVAT: A Novel 2-Stage Machine-Learning Approach for Automatic Clustering Tendency Assessment	63
Similarity Measurement for Graph Data: An Improved Centrality and Geometric Perspective-Based Approach	54
A multiscale electricity theft detection model based on feature engineering	53
Deep attention dynamic representation learning networks for recommender system review modeling	52
Hourglass pattern matching for deep aware neural network text recommendation model	47
Development of an integrated data system for regional tourism analysis in Italy: A microdata perspective	46
Big Data in organizations: Exploring the adoption of Big Data applications and their impact on organizations in China and the Netherlands	45
A methodology to assess and evaluate sites with high potential for stormwater harvesting in Dehradun, India	30
Visual Analytics of Trajectories with RoseTrajVis	25
Towards Efficient Energy Utilization Using Big Data Analytics in Smart Cities for Electricity Theft Detection	25
Complex data in tourism analysis: A stochastic approach to price competition	23
Analysis of Occupational Profiles in the Brazilian Workforce Based on Non-Negative Matrix Factorization	23
A novel approach for job matching and skill recommendation using transformers and the O*NET database	20
Fog-Computing Based Healthcare Framework for Predicting Encephalitis Outbreak	20
Editorial Board	20
Spatio-Temporal Characteristics of Influenza Burden and Its Influence Factors in Japan in the Past Three Decades: An Influenza Disease Burden Data-Based Modeling Study	18
A Novel Big Data Approach for Record and Represent Compliance in the Covid-19 Era	18
A Multi-View Filter for Relation-Free Knowledge Graph Completion	17
Big Data in Forecasting Research: A Literature Review	16

A Segmented PageRank-Based Value Compensation Method for Personal Data in Alliance Blockchains	16
Editorial Board	16
Investigating Influence of Google-Play Application Titles on Success	15
Augmented Functional Analysis of Variance (A-fANOVA): Theory and Application to Google Trends for Detecting Differences in Abortion Drugs Queries	15
Visual Exploratory Data Analysis for Copy Number Variation Studies in Biomedical Research	15
Editorial Board	14
A novel study of kernel graph regularized semi-non-negative matrix factorization with orthogonal subspace for clustering	14
Meta-Learning Based Dynamic Adaptive Relation Learning for Few-Shot Knowledge Graph Completion	14
Deep semantics-preserving cross-modal hashing	14
Distributed Heterogeneous Transfer Learning	13
Research on the characteristics of information propagation dynamic on the weighted multiplex Weibo networks	12
Route Search and Planning: A Survey	11
A Facial Expression Recognition Approach for Social IoT Frameworks	10
Few-Shot Relation Extraction Towards Special Interests	10
What Is a Multi-Modal Knowledge Graph: A Survey	10
Visual Exploration of Anomalies in Cyclic Time Series Data with Matrix and Glyph Representations	10
Correcting inconsistencies in knowledge graphs with correlated knowledge	9
BETM: A new pre-trained BERT-guided embedding-based topic model	9
Editorial Board	9
Intelligent geological interpretation of AMT data based on machine learning	9
Epidemic Spreading in Trajectory Networks	9
GeoYCSB: A Benchmark Framework for the Performance and Scalability Evaluation of Geospatial NoSQL Databases	9
LSDDL: Layer-Wise Sparsification for Distributed Deep Learning	8
Adaptive spectral GNN and frequency enhanced self-attention for traffic forecasting	8
ImDMI: Improved Distributed M-Invariance model to achieve privacy continuous big data publishing using Apache Spark	8
Machine Learning for Tsunami Waves Forecasting Using Regression Trees	8
Multi-granularity enhanced graph convolutional network for aspect sentiment triplet extraction	8
Positional-attention based bidirectional deep stacked AutoEncoder for aspect based sentimental analysis	8
MLPQ: A Dataset for Path Question Answering over Multilingual Knowledge Graphs	7
Scalable and Flexible Two-Phase Ensemble Algorithms for Causality Discovery	7
CardioNet: An Efficient ECG Arrhythmia Classification System Using Transfer Learning	7
Editorial Board	7
Real-Time Traffic Speed Estimation for Smart Cities with Spatial Temporal Data: A Gated Graph Attention Network Approach	6
The Predictability of Stock Price: Empirical Study on Tick Data in Chinese Stock Market	6
Heterogeneous Graph Convolutional Network Based on Correlation Matrix	6
Compression of big data collected in wind farm based on tensor train decomposition	6
A Full-Sample Clustering Model Considering Whole Process Optimization of Data	6
Correlation Expert Tuning System for Performance Acceleration	6
Integrating Models and Fusing Data in a Deep Ensemble Learning Method for Predicting Epidemic Diseases Outbreak	6
Hierarchical Multiresolution Representation of Streaming Time Series	6
A Twig-Based Algorithm for Top-k Subgraph Matching in Large-Scale Graph Data	6
Deep Learning Techniques for Enhanced Mangrove Land use and Land change from Remote Sensing Imagery: A Blue Carbon Perspective	6
Big Data Analytics and Visualization in Traffic Monitoring	5
Explanation-Guided Adversarial Example Attacks	5
FDN-learning: Urban PM2.5-concentration Spatial Correlation Prediction Model Based on Fusion Deep Neural Network	5
The influence of China's exchange rate market on the Belt and Road trade market: Based on temporal two-layer networks	4
Editorial Board	4
Evolving Dynamic Bayesian Networks by an Analytical Threshold for Dealing with Data Imputation in Time Series Dataset	4
A dual algorithmic approach to deal with multiclass imbalanced classification problems	4
An Embedding Model for Knowledge Graph Completion Based on Graph Sub-Hop Convolutional Network	4

Scalable Diversified Top-k Pattern Matching in Big Graphs	4
Downsampling for Binary Classification with a Highly Imbalanced Dataset Using Active Learning	4
Remote sensing-enhanced transfer learning approach for agricultural damage and change detection: A deep learning perspective	4
Special Issue on Real-Time Intelligent Systems	4
Unmasking hate in the pandemic: A cross-platform study of the COVID-19 infodemic	4
Evaluating Standard Feature Sets Towards Increased Generalisability and Explainability of ML-Based Network Intrusion Detection	4
Editorial Board	4
Neural Topic Modeling with Deep Mutual Information Estimation	3
Predicting option prices: From the Black-Scholes model to machine learning methods	3
Intelligent Narrative Summaries: From Indicative to Informative Summarization	3
Exogenous variable driven cotton prices prediction: comparison of statistical model with sequence based deep learning models	3
Chlorophyll-a concentration variations in Bohai sea: Impacts of environmental complexity and human activities based on remote sensing technologies	3
Educational Big Data: Predictions, Applications and Challenges	3
Study on the Temporal and Spatial Evolution Characteristics of Chinese Public's Cognition and Attitude to “Double Reduction” Policy Based on Big Data	3
A Large Comparison of Normalization Methods on Time Series	3
Modeling meaningful volatility events to classify monetary policy announcements	3
Airspace situation analysis of terminal area traffic flow prediction based on big data and machine learning methods	3
Scheduling critical periodic jobs with selective partial computations along with gang jobs	3
Accelerating Columnar Storage Based on Asynchronous Skipping Strategy	3
Explainable malware detection through integrated graph reduction and learning techniques	3
NoSQL data warehouse optimizing models: A comparative study of column-oriented approaches	3
Data-Efficient Performance Modeling for Configurable Big Data Frameworks by Reducing Information Overlap Between Training Examples	3
Editorial Board	3
Editorial to the Special Issue on Big Data in Industrial and Commercial Applications	3
E-word of mouth in sales volume forecasting: Toyota Camry case study	3
Faster Multidimensional Data Queries on Infrastructure Monitoring Systems	3
Settlement patterns, official statistics and geo-economic dynamics: Evidence from a LADISC approach to Italy	3
Enhancing Precision Medicine: A Big Data-Driven Approach for the Management of Genomic Data	2
TE-PADN: A poisoning attack defense model based on temporal margin samples	2
NGCU: A New RNN Model for Time-Series Data Prediction	2
Efficiently Mining Colocation Patterns for Range Query	2
Scaling the Growing Neural Gas for Visual Cluster Analysis	2
Efficient training: Federated learning cost analysis	2
Tangible Progress: Employing Visual Metaphors and Physical Interfaces in AI-based English Language Learning	2
Graph Waves	2
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
An Integration visual navigation algorithm for urban air mobility	2
An Efficient Blockchain Consensus Algorithm Based on Post-Quantum Threshold Signature	2