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 2022-06-01 to 2026-06-01.)
ArticleCitations
Preface to Hagiya-sensei’s 26-th Birthday Special Issue67
Performance Analysis of Chemotaxis-Inspired Stochastic Controllers for Multi-Agent Coverage57
Networks of Classical Conditioning Gates and Their Learning42
KEAHT: A Knowledge-Enriched Attention-Based Hybrid Transformer Model for Social Sentiment Analysis37
Variational Autoencoder Based Imbalanced COVID-19 Detection Using Chest X-Ray Images28
Characterization of Cascaded DNA Generation Reaction for Amplifying DNA Signal24
Improved Deep Convolutional Neural Network with Transfer Learning Based COVID-19 Infection Detection Using CT image24
Instruction-Following Evaluation of Large Vision-Language Models24
A Non-invasive Approach for the Classification of the Coronavirus Disease from CT Scan Images Using Machine Learning in Combination with Hybrid Texture Features22
Physical Zero-Knowledge Proof Protocols for Topswops and Botdrops21
Government Official-Initiated Bid-Rigging: A Simulation-Based Approach Using Gaming and Agent-Based Methods21
Introducing TH-SE-ResNet for Enhanced Performance for Gender Detection Using Thermal Images20
A CNN-LSTM-Based Hybrid Deep Learning Approach for Sentiment Analysis on Monkeypox Tweets20
VGO: COVID-19 Virus Genomics Ontology for Semantic Annotation and Querying of Genome Sequence Data19
Progressive Document-level Text Simplification via Large Language Models18
A Sustainable Computing Approach to Understand Unstructured Paths for a Resource-Constrained System18
Combined Cloud-Based Inference System for the Classification of COVID-19 in CT-Scan and X-Ray Images18
A Dense Network Approach with Gaussian Optimizer for Cardiovascular Disease Prediction17
Improving the Generalisation Ability of Neural Networks Using a Lévy Flight Distribution Algorithm for Classification Problems14
Improving the Efficiency of Training Physics-Informed Neural Networks Using Active Learning12
Early Spam Detection Using Time-Based Cache in Graph database11
Deep Convolutional Neural Networks for Detecting COVID-19 Using Medical Images: A Survey11
Improved Prediction Analysis with Hybrid Models for Thunderstorm Classification over the Ranchi Region10
Sentiment Polarity Classification Using Incremental Self-Configuring Knowledge Graph-Based Bidirectional Long Short Term Memory Classifier with Hierarchical Pounce Optimization10
Infant Walking and Everyday Experience: Unraveling the Development of Behavior from Motor Development9
Convolution Neural Network Having Multiple Channels with Own Attention Layer for Depression Detection from Social Data9
Design and Development of Modified Ensemble Learning with Weighted RBM Features for Enhanced Multi-disease Prediction Model8
A Botnet Detection in IoT Using a Hybrid Multi-objective Optimization Algorithm8
Analysis of Signal Distortion in Molecular Communication Channels Using Frequency Response8
GUI Enabled Optimized Approach of CNN for Automatic Diagnosis of COVID-19 Using Radiograph Images8
Correction: A Non-invasive Approach for the Classification of the Coronavirus Disease from CT Scan Images Using Machine Learning in Combination with Hybrid Texture Features8
Correlation Between In Vitro and In Vivo Gene-Expression Strengths is Dependent on Bottleneck Process6
Chaotic Satin Bowerbird Optimizer Based Advanced AI Techniques for Detection of COVID-19 Diseases from CT Scans Images6
On-Line Reoptimization of Mammalian Fed-Batch Culture Using a Nonlinear Model Predictive Controller6
A Novel ORLLTMLP-Based Attack Detection and Blockchain-Aware Security Framework Using LCTFA in Smart City Applications6
Codensity Games for Bisimilarity6
Neuro-Symbolic Reasoning for Multimodal Referring Expression Comprehension in HMI Systems6
Special Issue on Card-Based Cryptography 36
Information Extraction with the Optimized Selective Kernel-Based Deep Learning from the Unstructured Invoice6
Designing a Gradual Support Inference Graph to Improve the Performance of Frequent Gradual Pattern Extraction Algorithms6
Correction: Chaotic Satin Bowerbird Optimizer Based Advanced AI Techniques for Detection of COVID‑19 Diseases from CT Scans Images6
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