New Generation Computing

Papers
(The median citation count of New Generation Computing 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 2021-03-01 to 2025-03-01.)
ArticleCitations
Image Processing for the Prevention of Infectious Diseases42
Renewal of the Major Fields of New Generation Computing Vol. 40 (2022)31
Improved Prediction Analysis with Hybrid Models for Thunderstorm Classification over the Ranchi Region29
Preface to Hagiya-sensei’s 26-th Birthday Special Issue27
Discovery of Botnet Activities in Internet-of-Things System Using Dynamic Evolutionary Mechanism27
Networks of Classical Conditioning Gates and Their Learning25
Internet of Medical Things-Based COVID-19 Detection in CT Images Fused with Fuzzy Ensemble and Transfer Learning Models25
Semi-supervised Ensemble Learning for Efficient Cancer Sample Classification from miRNA Gene Expression Data25
A Graph-Based Ontology Matching Framework19
Variational Autoencoder Based Imbalanced COVID-19 Detection Using Chest X-Ray Images19
Convolution Neural Network Having Multiple Channels with Own Attention Layer for Depression Detection from Social Data19
Dance Information Processing: Computational Approaches for Assisting Dance Composition18
Shared Mobility Intelligence Using Permissioned Blockchains for Smart Cities18
A Transformer-Based Model for Evaluation of Information Relevance in Online Social-Media: A Case Study of Covid-19 Media Posts17
A Hybrid Deep Learning Model Using Grid Search and Cross-Validation for Effective Classification and Prediction of Suicidal Ideation from Social Network Data17
Correction to: An Optimized Deep Learning Approach for the Prediction of Social Distance Among Individuals in Public Places During Pandemic16
KEAHT: A Knowledge-Enriched Attention-Based Hybrid Transformer Model for Social Sentiment Analysis16
Application of Evolutionary Algorithms in Social Networks: A Comparative Machine Learning Perspective16
Correction to: A Graph‑Based Ontology Matching Framework16
Transfer Learning Fusion and Stacked Auto-encoders for Viral Lung Disease Classification15
Structured Matrices and Their Application in Neural Networks: A Survey15
Recurring Drift Detection and Model Selection-Based Ensemble Classification for Data Streams with Unlabeled Data15
Efficient Card-Based Majority Voting Protocols14
A Clustering Offloading Decision Method for Edge Computing Tasks Based on Deep Reinforcement Learning13
Performance Evaluation of Learning Models for the Prognosis of COVID-1912
Helmholtz: A Verifier for Tezos Smart Contracts Based on Refinement Types11
Simulations of Policy Responses and Interventions to Promote Inclusive Adaptation to and Recovery from the Covid-19 Crisis in Vietnam11
Performance Analysis of Chemotaxis-Inspired Stochastic Controllers for Multi-Agent Coverage11
Physical Zero-Knowledge Proof for Sukoro11
Artificial Intelligence in Global Epidemics, Part 211
Application of Convolutional Neural Networks for COVID-19 Detection in X-ray Images Using InceptionV3 and U-Net11
Stacked Generalization Architecture for Predicting Publisher Behaviour from Highly Imbalanced User-Click Data Set for Click Fraud Detection10
DNA Concentration Regulator That can be Driven for a Long Time10
Force-Based Modeling of Heterogeneous Roles in the Coordinated Behavior of a Triad10
Embedding Non-linear Pattern Matching with Backtracking for Non-free Data Types into Haskell10
Infant Walking and Everyday Experience: Unraveling the Development of Behavior from Motor Development10
GUI Enabled Optimized Approach of CNN for Automatic Diagnosis of COVID-19 Using Radiograph Images9
Preface: Special Issue on Molecular Cybernetics: Theory and Practice Toward Chemical AI9
Replication of Arbitrary Hole-Free Shapes via Self-assembly with Signal-Passing Tiles9
IRI_Debug: An Ontology Evaluation Tool9
Ontology-Based Similarity Computation of Two Sentences Using Word-Net Database9
Optimal Prognostic Accuracy: Machine Learning Approaches for COVID-19 Prognosis with Biomarkers and Demographic Information8
Preface: Special Issue on Card-Based Cryptography8
A CNN Transfer Learning-Based Automated Diagnosis of COVID-19 From Lung Computerized Tomography Scan Slices7
Estimation of COVID-19 Under-Reporting in the Brazilian States Through SARI7
An Optimized Deep Learning Approach for the Prediction of Social Distance Among Individuals in Public Places During Pandemic6
Deep Convolutional Neural Network for Knowledge-Infused Text Classification6
The Impact of Arbitrage Between Stock Markets With and Without Maker–Taker Fees Using an Agent-Based Simulation6
Efficient Classification of Hallmark of Cancer Using Embedding-Based Support Vector Machine for Multilabel Text5
Characterization of Cascaded DNA Generation Reaction for Amplifying DNA Signal5
Intelligent Bayesian Inference for Multiclass Lung Infection Diagnosis: Network Analysis of Ranked Gray Level Co-occurrence (GLCM) Features5
Mapping Quantum Circuits in IBM Q Devices Using Progressive Qubit Assignment for Global Ordering5
Making Programs Reversible with Minimal Extra Data4
Physical Zero-Knowledge Proof Protocols for Topswops and Botdrops4
An Intelligent Lightweight Signing Signature and Secured Jellyfish Data Aggregation (LS3JDA) Based Privacy Preserving Model in Cloud4
Improvement and Analysis of Peak Shift Demand Response Scenarios of Industrial Consumers Using an Electricity Market Model4
How to Defend and Secure Deep Learning Models Against Adversarial Attacks in Computer Vision: A Systematic Review3
An Agent-Based Model to Study Informational Cascades in Financial Markets3
COVID-19 Detection on Chest X-ray Images with the Proposed Model Using Artificial Intelligence and Classifiers3
Entropy-Based Fuzzy C-Ordered-Means Clustering Algorithm3
Incorporating Domain-Specific Traits into Personality-Aware Recommendations for Financial Applications3
Secure Computation for Threshold Functions with Physical Cards: Power of Private Permutations3
MANet: Mixed Attention Network for Visual Explanation3
An Optimized Scaffolding Algorithm for Unbalanced Sequencing3
A Novel Model to Predict the Effects of Enhanced Students’ Computer Interaction on Their Health in COVID-19 Pandemics3
Design and Development of Modified Ensemble Learning with Weighted RBM Features for Enhanced Multi-disease Prediction Model3
Analysis of Signal Distortion in Molecular Communication Channels Using Frequency Response3
Transfer Learning-Hierarchical Segmentation on COVID CT Scans3
Explainable AI: To Reveal the Logic of Black-Box Models3
Card-Based Protocols for Private Set Intersection and Union2
Stacking Ensemble-Based Intelligent Machine Learning Model for Predicting Post-COVID-19 Complications2
Robustifying Vision Transformer Without Retraining from Scratch Using Attention-Based Test-Time Adaptation2
A Hybrid Deep Neural Approach for Segmenting the COVID Affection Area from the Lungs X-Ray Images2
An Evidence Theory-Based Approach to Handling Conflicting Temporal Data in OWL 22
An Intelligent Healthcare Cyber Physical Framework for Encephalitis Diagnosis Based on Information Fusion and Soft-Computing Techniques2
The Impact of Sentiment Scores Extracted from Product Descriptions on Customer Purchase Intention2
Two Standard Decks of Playing Cards are Sufficient for a ZKP for Sudoku2
A CNN-LSTM-Based Hybrid Deep Learning Approach for Sentiment Analysis on Monkeypox Tweets2
Graph Automorphism Shuffles from Pile-Scramble Shuffles2
Autonomous and Programmable Strand Generator Implemented as DNA and Enzymatic Chemical Reaction Cascade2
Asymmetric Short-Text Clustering via Prompt2
Card-Based ZKP for Connectivity: Applications to Nurikabe, Hitori, and Heyawake2
AI Technologies for Society in COVID-19 Pandemic2
Tailored Network Splitting for Community Evolution Prediction in Dynamic Social Networks2
A Novel ORLLTMLP-Based Attack Detection and Blockchain-Aware Security Framework Using LCTFA in Smart City Applications2
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