New Generation Computing

Papers
(The TQCC of New Generation Computing is 6. 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 2020-05-01 to 2024-05-01.)
ArticleCitations
XCOVNet: Chest X-ray Image Classification for COVID-19 Early Detection Using Convolutional Neural Networks42
Physical Zero-Knowledge Proof for Numberlink Puzzle and k Vertex-Disjoint Paths Problem38
Enhanced Prediction of Intra-day Stock Market Using Metaheuristic Optimization on RNN–LSTM Network36
Card-Based Cryptographic Logical Computations Using Private Operations28
A Deep Learning Method to Forecast COVID-19 Outbreak26
Stacking Ensemble-Based Intelligent Machine Learning Model for Predicting Post-COVID-19 Complications25
A Heterogeneous Ensemble Forecasting Model for Disease Prediction25
COVID-19 Detection on Chest X-ray Images with the Proposed Model Using Artificial Intelligence and Classifiers23
How to Solve Millionaires’ Problem with Two Kinds of Cards22
Cloud-Based Zero Trust Access Control Policy: An Approach to Support Work-From-Home Driven by COVID-19 Pandemic19
Ensemble Methods for Heart Disease Prediction19
Covid19-IBO: A Covid-19 Impact on Indian Banking Ontology Along with an Efficient Schema Matching Approach19
Card-Based ZKP for Connectivity: Applications to Nurikabe, Hitori, and Heyawake18
Five-Card AND Computations in Committed Format Using Only Uniform Cyclic Shuffles17
Two Standard Decks of Playing Cards are Sufficient for a ZKP for Sudoku17
Leveraging Artificial Intelligence (AI) Capabilities for COVID-19 Containment16
Card-Based Cryptography Meets Formal Verification15
Internet of Medical Things-Based COVID-19 Detection in CT Images Fused with Fuzzy Ensemble and Transfer Learning Models15
A Differential Approach for Data and Classification Service-Based Privacy-Preserving Machine Learning Model in Cloud Environment15
An Optimized Deep Learning Approach for the Prediction of Social Distance Among Individuals in Public Places During Pandemic14
Estimation of COVID-19 Under-Reporting in the Brazilian States Through SARI14
An Intelligent Healthcare Cyber Physical Framework for Encephalitis Diagnosis Based on Information Fusion and Soft-Computing Techniques14
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
DeepCov19Net: Automated COVID-19 Disease Detection with a Robust and Effective Technique Deep Learning Approach12
Card-Based Cryptographic Protocols with Malicious Players Using Private Operations11
Knowledge-Based Sentiment Analysis and Visualization on Social Networks11
Uncertainty Analysis in Ontology-Based Knowledge Representation10
Secure Computation for Threshold Functions with Physical Cards: Power of Private Permutations10
KEAHT: A Knowledge-Enriched Attention-Based Hybrid Transformer Model for Social Sentiment Analysis9
Computer-Aided-Diagnosis as a Service on Decentralized Medical Cloud for Efficient and Rapid Emergency Response Intelligence9
Graph Automorphism Shuffles from Pile-Scramble Shuffles9
Efficient Card-Based Majority Voting Protocols8
A Systematic Literature Review and Future Perspectives for Handling Big Data Analytics in COVID-19 Diagnosis8
Card-based Cryptography with Dihedral Symmetry8
Preface: Special Issue on Card-Based Cryptography 27
Variational Autoencoder Based Imbalanced COVID-19 Detection Using Chest X-Ray Images7
A Botnet Detection in IoT Using a Hybrid Multi-objective Optimization Algorithm7
Preface: Special Issue on Card-Based Cryptography7
Deep Learning Model for COVID-19 Sentiment Analysis on Twitter6
Shared Mobility Intelligence Using Permissioned Blockchains for Smart Cities6
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