OOIR: Observatory of International Research

Papers

(The TQCC of Big Data 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 2022-01-01 to 2026-01-01.)

Article	Citations
Design of Fatigue Driving Behavior Detection Based on Circle Hough Transform	91
Impact of Cooperative Innovation on the Technological Innovation Performance of High-Tech Firms: A Dual Moderating Effect Model of Big Data Capabilities and Policy Support	63
Analysis on Research Situation of Soybean Quality Evaluation Based on Bibliometrics	58
Editorial Summary of Selected Articles	50
Correction to: An Improved Multiexposure Image Fusion Technique by Nazish, et al. Big Data 2023;11(3):215–224; doi: 10.1089/big.2021.0223	38
RST-DE: Rough Sets-Based New Differential Evolution Algorithm for Scalable Big Data Feature Selection in Distributed Computing Platforms	31
Sharing Medical Big Data While Preserving Patient Confidentiality in Innovative Medicines Initiative: A Summary and Case Report from BigData@Heart	28
Hybrid Deep Learning Approach for Traffic Speed Prediction	24
An Autoregressive-Based Kalman Filter Approach for Daily PM_2.5 Concentration Forecasting in Beijing, China	24
A Fast Survival Support Vector Regression Approach to Large Scale Credit Scoring via Safe Screening	22
A Data-Driven Analysis Method for the Trajectory of Power Carbon Emission in the Urban Area	21
Automated Natural Language Processing-Based Supplier Discovery for Financial Services	20
A Review of Anonymization for Healthcare Data	17
Indirect Category Data Transfer Learning Algorithm using Regularization Discrimination	17
Prognostic Modeling for Liver Cirrhosis Mortality Prediction and Real-Time Health Monitoring from Electronic Health Data	16
Call for Special Issue Papers: Big Data-Driven Futuristic Fabric System in Societal Digital Transformation	15
Content-Aware Human Mobility Pattern Extraction	13
Big Multimodal Data Analysis: Applications	13
Hyperparameter Optimization for Transfer Learning of VGG16 for Disease Identification in Corn Leaves Using Bayesian Optimization	13
Gaussian Adapted Markov Model with Overhauled Fluctuation Analysis-Based Big Data Streaming Model in Cloud	12
Identification of Potential Cooperation Relationships Among Scientists	12
Importance of Community Engagement in Data Decision Making	11
Acknowledgment of Reviewers 2022	11
Agricultural Disaster Risk Management and Capability Assessment Using Big Data Analytics	11
Big Data Assurance: An Approach Based on Service-Level Agreements	10

An Unsupervised Feature Extraction Approach Based on Self-Expression	10
A Robust Learning Algorithm Based on Particle Swarm Optimization for Pi-Sigma Artificial Neural Networks	10
Service Level Agreement Monitoring as a Service: An Independent Monitoring Service for Service Level Agreements in Clouds	10
Raw Electroencephalogram-Based Cognitive Workload Classification Using Directed and Nondirected Functional Connectivity Analysis and Deep Learning	10
Equity as a Guiding Principle for the Public Health Data System	9
Classifying of VN-Index Bullishness by Bayesian Inference	9
Kriging, Polynomial Chaos Expansion, and Low-Rank Approximations in Material Science and Big Data Analytics	9
iELMNet: Integrating Novel Improved Extreme Learning Machine and Convolutional Neural Network Model for Traffic Sign Detection	9
Analysis of Driving Fatigue Characteristics in Cold and Hypoxia Environment of High-Altitude Areas	9
Long- and Short-Term Memory Model of Cotton Price Index Volatility Risk Based on Explainable Artificial Intelligence	9
The Two Worlds of Emergency Law: A Comparative Study of International and Chinese Scholarship Through Knowledge Domain Mapping	8
Predicting Sociodemographic Attributes from Mobile Usage Patterns: Applications and Privacy Implications	8
Acknowledgment of Reviewers 2021	8
Preserving Health Care Data Security and Privacy Using Carmichael's Theorem-Based Homomorphic Encryption and Modified Enhanced Homomorphic Encryption Schemes in Edge Computing Systems	7
Hybrid Generalized Regularized Extreme Learning Machine Through Gradient-Based Optimizer Model for Self-Cleansing Nondeposition with Clean Bed Mode of Sediment Transport	7
Applications of Bayesian Neural Networks in Outlier Detection	7
Attribute-Based Adaptive Homomorphic Encryption for Big Data Security	7
A MapReduce-Based Approach for Fast Connected Components Detection from Large-Scale Networks	7
Balancing Protection and Quality in Big Data Analytics Pipelines	7