OOIR: Observatory of International Research

Papers

(The TQCC of New Generation Computing is 8. 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 2020-11-01 to 2024-11-01.)

Article	Citations
XCOVNet: Chest X-ray Image Classification for COVID-19 Early Detection Using Convolutional Neural Networks	46
Stacking Ensemble-Based Intelligent Machine Learning Model for Predicting Post-COVID-19 Complications	36
A Heterogeneous Ensemble Forecasting Model for Disease Prediction	28
Two Standard Decks of Playing Cards are Sufficient for a ZKP for Sudoku	27
Cloud-Based Zero Trust Access Control Policy: An Approach to Support Work-From-Home Driven by COVID-19 Pandemic	26
A Deep Learning Method to Forecast COVID-19 Outbreak	26
Card-Based ZKP for Connectivity: Applications to Nurikabe, Hitori, and Heyawake	25
How to Solve Millionaires’ Problem with Two Kinds of Cards	25
COVID-19 Detection on Chest X-ray Images with the Proposed Model Using Artificial Intelligence and Classifiers	24
Ensemble Methods for Heart Disease Prediction	21
A CNN-LSTM-Based Hybrid Deep Learning Approach for Sentiment Analysis on Monkeypox Tweets	21
Five-Card AND Computations in Committed Format Using Only Uniform Cyclic Shuffles	20
Covid19-IBO: A Covid-19 Impact on Indian Banking Ontology Along with an Efficient Schema Matching Approach	19
A Differential Approach for Data and Classification Service-Based Privacy-Preserving Machine Learning Model in Cloud Environment	19
An Optimized Deep Learning Approach for the Prediction of Social Distance Among Individuals in Public Places During Pandemic	17
Leveraging Artificial Intelligence (AI) Capabilities for COVID-19 Containment	17
Card-Based Cryptography Meets Formal Verification	17
Secure Computation for Threshold Functions with Physical Cards: Power of Private Permutations	16
An Intelligent Healthcare Cyber Physical Framework for Encephalitis Diagnosis Based on Information Fusion and Soft-Computing Techniques	16
Internet of Medical Things-Based COVID-19 Detection in CT Images Fused with Fuzzy Ensemble and Transfer Learning Models	16
Card-Based Cryptographic Protocols with Malicious Players Using Private Operations	15
Estimation of COVID-19 Under-Reporting in the Brazilian States Through SARI	15
DeepCov19Net: Automated COVID-19 Disease Detection with a Robust and Effective Technique Deep Learning Approach	15
Design and Development of Modified Ensemble Learning with Weighted RBM Features for Enhanced Multi-disease Prediction Model	15
Efficient Card-Based Majority Voting Protocols	13

KEAHT: A Knowledge-Enriched Attention-Based Hybrid Transformer Model for Social Sentiment Analysis	13
Visualizing Social and Behavior Change due to the Outbreak of COVID-19 Using Mobile Phone Location Data	13
Uncertainty Analysis in Ontology-Based Knowledge Representation	12
Preface: Special Issue on Card-Based Cryptography	11
Graph Automorphism Shuffles from Pile-Scramble Shuffles	11
Private Function Evaluation with Cards	10
Preface: Special Issue on Card-Based Cryptography 2	10
Computer-Aided-Diagnosis as a Service on Decentralized Medical Cloud for Efficient and Rapid Emergency Response Intelligence	9
Explainable AI: To Reveal the Logic of Black-Box Models	9
A Systematic Literature Review and Future Perspectives for Handling Big Data Analytics in COVID-19 Diagnosis	9
Aspect-Based Sentiment Analysis Using Attribute Extraction of Hospital Reviews	9
Variational Autoencoder Based Imbalanced COVID-19 Detection Using Chest X-Ray Images	9
A Comparative Analysis of Multidimensional COVID-19 Poverty Determinants: An Observational Machine Learning Approach	9
A Botnet Detection in IoT Using a Hybrid Multi-objective Optimization Algorithm	9
A Hybrid Deep Learning Model Using Grid Search and Cross-Validation for Effective Classification and Prediction of Suicidal Ideation from Social Network Data	9
Shared Mobility Intelligence Using Permissioned Blockchains for Smart Cities	8
Card-based Cryptography with Dihedral Symmetry	8
Performance Evaluation of Learning Models for the Prognosis of COVID-19	8
A Novel Model to Predict the Effects of Enhanced Students’ Computer Interaction on Their Health in COVID-19 Pandemics	8
Application of Convolutional Neural Networks for COVID-19 Detection in X-ray Images Using InceptionV3 and U-Net	8