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 2021-08-01 to 2025-08-01.)

Article	Citations
Automatic Prediction of T2/T3 Staging of Rectal Cancer Based on Radiomics and Machine Learning	107
ML-aVAT: A Novel 2-Stage Machine-Learning Approach for Automatic Clustering Tendency Assessment	65
Data Stream Classification Based on Extreme Learning Machine: A Review	60
Improved Tesseract optical character recognition performance on Thai document datasets	59
Optimizing image captioning: The effectiveness of vision transformers and VGG networks for remote sensing	58
Quantitative analysis of big data for land resource classification and zoning at the township level in Northern Shaanxi	54
Early Pathogen Prediction in Crops Using Nano Biosensors and Neural Network-Based Feature Extraction and Classification	53
Similarity Measurement for Graph Data: An Improved Centrality and Geometric Perspective-Based Approach	51
Deep attention dynamic representation learning networks for recommender system review modeling	48
A multiscale electricity theft detection model based on feature engineering	46
Analysis of Occupational Profiles in the Brazilian Workforce Based on Non-Negative Matrix Factorization	44
Visual Analytics of Trajectories with RoseTrajVis	44
Development of an integrated data system for regional tourism analysis in Italy: A microdata perspective	41
Hourglass pattern matching for deep aware neural network text recommendation model	26
Big Data in organizations: Exploring the adoption of Big Data applications and their impact on organizations in China and the Netherlands	24
A methodology to assess and evaluate sites with high potential for stormwater harvesting in Dehradun, India	22
Towards Efficient Energy Utilization Using Big Data Analytics in Smart Cities for Electricity Theft Detection	21
Complex data in tourism analysis: A stochastic approach to price competition	20
Editorial Board	20
Fog-Computing Based Healthcare Framework for Predicting Encephalitis Outbreak	18
Editorial Board	16
A Multi-View Filter for Relation-Free Knowledge Graph Completion	16
A Segmented PageRank-Based Value Compensation Method for Personal Data in Alliance Blockchains	15
A Novel Big Data Approach for Record and Represent Compliance in the Covid-19 Era	15
Big Data in Forecasting Research: A Literature Review	15

A novel approach for job matching and skill recommendation using transformers and the O*NET database	15
Augmented Functional Analysis of Variance (A-fANOVA): Theory and Application to Google Trends for Detecting Differences in Abortion Drugs Queries	14
Meta-Learning Based Dynamic Adaptive Relation Learning for Few-Shot Knowledge Graph Completion	14
Visual Exploratory Data Analysis for Copy Number Variation Studies in Biomedical Research	14
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	14
Investigating Influence of Google-Play Application Titles on Success	13
Research on the characteristics of information propagation dynamic on the weighted multiplex Weibo networks	13
Deep semantics-preserving cross-modal hashing	13
Few-Shot Relation Extraction Towards Special Interests	12
A Facial Expression Recognition Approach for Social IoT Frameworks	11
Visual Exploration of Anomalies in Cyclic Time Series Data with Matrix and Glyph Representations	10
Distributed Heterogeneous Transfer Learning	10
What Is a Multi-Modal Knowledge Graph: A Survey	9
Route Search and Planning: A Survey	9
A novel study of kernel graph regularized semi-non-negative matrix factorization with orthogonal subspace for clustering	9
Correcting inconsistencies in knowledge graphs with correlated knowledge	8
BETM: A new pre-trained BERT-guided embedding-based topic model	8
GeoYCSB: A Benchmark Framework for the Performance and Scalability Evaluation of Geospatial NoSQL Databases	8
Epidemic Spreading in Trajectory Networks	8
Editorial Board	8
Intelligent geological interpretation of AMT data based on machine learning	7
ImDMI: Improved Distributed M-Invariance model to achieve privacy continuous big data publishing using Apache Spark	7
Scalable and Flexible Two-Phase Ensemble Algorithms for Causality Discovery	7
LSDDL: Layer-Wise Sparsification for Distributed Deep Learning	7
Multi-granularity enhanced graph convolutional network for aspect sentiment triplet extraction	7
Hierarchical Multiresolution Representation of Streaming Time Series	6
A Full-Sample Clustering Model Considering Whole Process Optimization of Data	6
Machine Learning for Tsunami Waves Forecasting Using Regression Trees	6
Editorial Board	6
Positional-attention based bidirectional deep stacked AutoEncoder for aspect based sentimental analysis	6
MLPQ: A Dataset for Path Question Answering over Multilingual Knowledge Graphs	6
Correlation Expert Tuning System for Performance Acceleration	6
CardioNet: An Efficient ECG Arrhythmia Classification System Using Transfer Learning	6
Deep Learning Techniques for Enhanced Mangrove Land use and Land change from Remote Sensing Imagery: A Blue Carbon Perspective	5
A Twig-Based Algorithm for Top-k Subgraph Matching in Large-Scale Graph Data	5
Integrating Models and Fusing Data in a Deep Ensemble Learning Method for Predicting Epidemic Diseases Outbreak	5
Evolving Dynamic Bayesian Networks by an Analytical Threshold for Dealing with Data Imputation in Time Series Dataset	5
Heterogeneous Graph Convolutional Network Based on Correlation Matrix	5
Big Data Analytics and Visualization in Traffic Monitoring	5
The Predictability of Stock Price: Empirical Study on Tick Data in Chinese Stock Market	5
Real-Time Traffic Speed Estimation for Smart Cities with Spatial Temporal Data: A Gated Graph Attention Network Approach	5
FDN-learning: Urban PM2.5-concentration Spatial Correlation Prediction Model Based on Fusion Deep Neural Network	5
Explanation-Guided Adversarial Example Attacks	4
Evaluating Standard Feature Sets Towards Increased Generalisability and Explainability of ML-Based Network Intrusion Detection	4
Scalable Diversified Top-k Pattern Matching in Big Graphs	4
Unmasking hate in the pandemic: A cross-platform study of the COVID-19 infodemic	4
Editorial Board	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	3
Faster Multidimensional Data Queries on Infrastructure Monitoring Systems	3

Data-Efficient Performance Modeling for Configurable Big Data Frameworks by Reducing Information Overlap Between Training Examples	3
An Embedding Model for Knowledge Graph Completion Based on Graph Sub-Hop Convolutional Network	3
Neural Topic Modeling with Deep Mutual Information Estimation	3
Editorial to the Special Issue on Big Data in Industrial and Commercial Applications	3
Scheduling critical periodic jobs with selective partial computations along with gang jobs	3
Chlorophyll-a concentration variations in Bohai sea: Impacts of environmental complexity and human activities based on remote sensing technologies	3
NoSQL data warehouse optimizing models: A comparative study of column-oriented approaches	3
Special Issue on Real-Time Intelligent Systems	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
E-word of mouth in sales volume forecasting: Toyota Camry case study	3
A dual algorithmic approach to deal with multiclass imbalanced classification problems	3
Accelerating Columnar Storage Based on Asynchronous Skipping Strategy	3
Educational Big Data: Predictions, Applications and Challenges	3
The influence of China's exchange rate market on the Belt and Road trade market: Based on temporal two-layer networks	3
Settlement patterns, official statistics and geo-economic dynamics: Evidence from a LADISC approach to Italy	3
Editorial Board	3
A Large Comparison of Normalization Methods on Time Series	3
Graph Waves	2
Modeling meaningful volatility events to classify monetary policy announcements	2
Efficiently Mining Colocation Patterns for Range Query	2
NGCU: A New RNN Model for Time-Series Data Prediction	2
Predicting option prices: From the Black-Scholes model to machine learning methods	2
Editorial Board	2
Enhancing Precision Medicine: A Big Data-Driven Approach for the Management of Genomic Data	2
Scaling the Growing Neural Gas for Visual Cluster Analysis	2
Editorial Board	2
Intelligent Narrative Summaries: From Indicative to Informative Summarization	2
Airspace situation analysis of terminal area traffic flow prediction based on big data and machine learning methods	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
TE-PADN: A poisoning attack defense model based on temporal margin samples	2