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 2021-09-01 to 2025-09-01.)

Article	Citations
Automatic Prediction of T2/T3 Staging of Rectal Cancer Based on Radiomics and Machine Learning	111
ML-aVAT: A Novel 2-Stage Machine-Learning Approach for Automatic Clustering Tendency Assessment	71
Data Stream Classification Based on Extreme Learning Machine: A Review	62
Improved Tesseract optical character recognition performance on Thai document datasets	61
Quantitative analysis of big data for land resource classification and zoning at the township level in Northern Shaanxi	60
Optimizing image captioning: The effectiveness of vision transformers and VGG networks for remote sensing	60
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	49
A multiscale electricity theft detection model based on feature engineering	49
Analysis of Occupational Profiles in the Brazilian Workforce Based on Non-Negative Matrix Factorization	45
Visual Analytics of Trajectories with RoseTrajVis	44
Hourglass pattern matching for deep aware neural network text recommendation model	43
Development of an integrated data system for regional tourism analysis in Italy: A microdata perspective	27
A methodology to assess and evaluate sites with high potential for stormwater harvesting in Dehradun, India	24
Big Data in organizations: Exploring the adoption of Big Data applications and their impact on organizations in China and the Netherlands	23
Towards Efficient Energy Utilization Using Big Data Analytics in Smart Cities for Electricity Theft Detection	23
Editorial Board	21
Fog-Computing Based Healthcare Framework for Predicting Encephalitis Outbreak	20
Complex data in tourism analysis: A stochastic approach to price competition	18
A Multi-View Filter for Relation-Free Knowledge Graph Completion	16
A novel approach for job matching and skill recommendation using transformers and the O*NET database	16
Editorial Board	16
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

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

Chlorophyll-a concentration variations in Bohai sea: Impacts of environmental complexity and human activities based on remote sensing technologies	3
Remote sensing-enhanced transfer learning approach for agricultural damage and change detection: A deep learning perspective	3
Special Issue on Real-Time Intelligent Systems	3
Accelerating Columnar Storage Based on Asynchronous Skipping Strategy	3
Editorial to the Special Issue on Big Data in Industrial and Commercial Applications	3
Intelligent Narrative Summaries: From Indicative to Informative Summarization	3
Neural Topic Modeling with Deep Mutual Information Estimation	3
Editorial Board	3
Faster Multidimensional Data Queries on Infrastructure Monitoring Systems	3
An Embedding Model for Knowledge Graph Completion Based on Graph Sub-Hop Convolutional Network	3
Data-Efficient Performance Modeling for Configurable Big Data Frameworks by Reducing Information Overlap Between Training Examples	3
A Large Comparison of Normalization Methods on Time Series	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
NoSQL data warehouse optimizing models: A comparative study of column-oriented approaches	3
A dual algorithmic approach to deal with multiclass imbalanced classification problems	3
E-word of mouth in sales volume forecasting: Toyota Camry case study	3
Scheduling critical periodic jobs with selective partial computations along with gang jobs	3
Educational Big Data: Predictions, Applications and Challenges	3
Settlement patterns, official statistics and geo-economic dynamics: Evidence from a LADISC approach to Italy	3
Explainable malware detection through integrated graph reduction and learning techniques	3
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
NGCU: A New RNN Model for Time-Series Data Prediction	2
Editorial Board	2
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
Editorial Board	2
Predicting option prices: From the Black-Scholes model to machine learning methods	2
Airspace situation analysis of terminal area traffic flow prediction based on big data and machine learning methods	2
Scaling the Growing Neural Gas for Visual Cluster Analysis	2
Efficiently Mining Colocation Patterns for Range Query	2
Editorial Board	2
Graph Waves	2
Modeling meaningful volatility events to classify monetary policy announcements	2