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 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
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
Networks of Classical Conditioning Gates and Their Learning25
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
A Graph-Based Ontology Matching Framework19
Shared Mobility Intelligence Using Permissioned Blockchains for Smart Cities18
Dance Information Processing: Computational Approaches for Assisting Dance Composition18
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: A Graph‑Based Ontology Matching Framework16
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
Recurring Drift Detection and Model Selection-Based Ensemble Classification for Data Streams with Unlabeled Data15
Transfer Learning Fusion and Stacked Auto-encoders for Viral Lung Disease Classification15
Structured Matrices and Their Application in Neural Networks: A Survey15
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
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
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
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
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
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
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
Preface: Special Issue on Card-Based Cryptography8
Optimal Prognostic Accuracy: Machine Learning Approaches for COVID-19 Prognosis with Biomarkers and Demographic Information8
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