New Generation Computing

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 2020-07-01 to 2024-07-01.)
ArticleCitations
XCOVNet: Chest X-ray Image Classification for COVID-19 Early Detection Using Convolutional Neural Networks43
Physical Zero-Knowledge Proof for Numberlink Puzzle and k Vertex-Disjoint Paths Problem42
Enhanced Prediction of Intra-day Stock Market Using Metaheuristic Optimization on RNN–LSTM Network40
Stacking Ensemble-Based Intelligent Machine Learning Model for Predicting Post-COVID-19 Complications30
Card-Based Cryptographic Logical Computations Using Private Operations30
A Heterogeneous Ensemble Forecasting Model for Disease Prediction27
A Deep Learning Method to Forecast COVID-19 Outbreak26
Cloud-Based Zero Trust Access Control Policy: An Approach to Support Work-From-Home Driven by COVID-19 Pandemic24
How to Solve Millionaires’ Problem with Two Kinds of Cards24
COVID-19 Detection on Chest X-ray Images with the Proposed Model Using Artificial Intelligence and Classifiers24
Two Standard Decks of Playing Cards are Sufficient for a ZKP for Sudoku23
Card-Based ZKP for Connectivity: Applications to Nurikabe, Hitori, and Heyawake22
Five-Card AND Computations in Committed Format Using Only Uniform Cyclic Shuffles20
Ensemble Methods for Heart Disease Prediction20
Covid19-IBO: A Covid-19 Impact on Indian Banking Ontology Along with an Efficient Schema Matching Approach19
A Differential Approach for Data and Classification Service-Based Privacy-Preserving Machine Learning Model in Cloud Environment18
Leveraging Artificial Intelligence (AI) Capabilities for COVID-19 Containment16
Card-Based Cryptography Meets Formal Verification16
Estimation of COVID-19 Under-Reporting in the Brazilian States Through SARI15
Secure Computation for Threshold Functions with Physical Cards: Power of Private Permutations15
Internet of Medical Things-Based COVID-19 Detection in CT Images Fused with Fuzzy Ensemble and Transfer Learning Models15
Card-Based Cryptographic Protocols with Malicious Players Using Private Operations14
An Optimized Deep Learning Approach for the Prediction of Social Distance Among Individuals in Public Places During Pandemic14
An Intelligent Healthcare Cyber Physical Framework for Encephalitis Diagnosis Based on Information Fusion and Soft-Computing Techniques14
DeepCov19Net: Automated COVID-19 Disease Detection with a Robust and Effective Technique Deep Learning Approach13
Visualizing Social and Behavior Change due to the Outbreak of COVID-19 Using Mobile Phone Location Data13
A CNN-LSTM-Based Hybrid Deep Learning Approach for Sentiment Analysis on Monkeypox Tweets13
Efficient Card-Based Majority Voting Protocols12
Uncertainty Analysis in Ontology-Based Knowledge Representation11
Knowledge-Based Sentiment Analysis and Visualization on Social Networks11
Graph Automorphism Shuffles from Pile-Scramble Shuffles10
Preface: Special Issue on Card-Based Cryptography10
KEAHT: A Knowledge-Enriched Attention-Based Hybrid Transformer Model for Social Sentiment Analysis10
Private Function Evaluation with Cards9
A Systematic Literature Review and Future Perspectives for Handling Big Data Analytics in COVID-19 Diagnosis9
Preface: Special Issue on Card-Based Cryptography 29
Computer-Aided-Diagnosis as a Service on Decentralized Medical Cloud for Efficient and Rapid Emergency Response Intelligence9
Design and Development of Modified Ensemble Learning with Weighted RBM Features for Enhanced Multi-disease Prediction Model9
Card-based Cryptography with Dihedral Symmetry8
A Botnet Detection in IoT Using a Hybrid Multi-objective Optimization Algorithm8
Variational Autoencoder Based Imbalanced COVID-19 Detection Using Chest X-Ray Images8
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