New Generation Computing

Papers
(The TQCC of New Generation Computing is 7. 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 2022-01-01 to 2026-01-01.)
ArticleCitations
Preface to Hagiya-sensei’s 26-th Birthday Special Issue57
Performance Analysis of Chemotaxis-Inspired Stochastic Controllers for Multi-Agent Coverage53
Networks of Classical Conditioning Gates and Their Learning36
Variational Autoencoder Based Imbalanced COVID-19 Detection Using Chest X-Ray Images33
KEAHT: A Knowledge-Enriched Attention-Based Hybrid Transformer Model for Social Sentiment Analysis31
Discovery of Botnet Activities in Internet-of-Things System Using Dynamic Evolutionary Mechanism30
A Non-invasive Approach for the Classification of the Coronavirus Disease from CT Scan Images Using Machine Learning in Combination with Hybrid Texture Features25
Improved Deep Convolutional Neural Network with Transfer Learning Based COVID-19 Infection Detection Using CT image24
Physical Zero-Knowledge Proof Protocols for Topswops and Botdrops23
Graph Automorphism Shuffles from Pile-Scramble Shuffles22
Characterization of Cascaded DNA Generation Reaction for Amplifying DNA Signal22
Combined Cloud-Based Inference System for the Classification of COVID-19 in CT-Scan and X-Ray Images21
A CNN-LSTM-Based Hybrid Deep Learning Approach for Sentiment Analysis on Monkeypox Tweets21
Monotone Control of R Systems20
Progressive Document-level Text Simplification via Large Language Models20
A Dense Network Approach with Gaussian Optimizer for Cardiovascular Disease Prediction19
Early Spam Detection Using Time-Based Cache in Graph database18
Improving the Generalisation Ability of Neural Networks Using a Lévy Flight Distribution Algorithm for Classification Problems17
Improving the Efficiency of Training Physics-Informed Neural Networks Using Active Learning16
DNA Concentration Regulator That can be Driven for a Long Time16
Deep Convolutional Neural Networks for Detecting COVID-19 Using Medical Images: A Survey16
Sentiment Polarity Classification Using Incremental Self-Configuring Knowledge Graph-Based Bidirectional Long Short Term Memory Classifier with Hierarchical Pounce Optimization16
Improved Prediction Analysis with Hybrid Models for Thunderstorm Classification over the Ranchi Region16
Infant Walking and Everyday Experience: Unraveling the Development of Behavior from Motor Development15
Convolution Neural Network Having Multiple Channels with Own Attention Layer for Depression Detection from Social Data14
Analysis of Signal Distortion in Molecular Communication Channels Using Frequency Response14
Correction: A Non-invasive Approach for the Classification of the Coronavirus Disease from CT Scan Images Using Machine Learning in Combination with Hybrid Texture Features13
Mapping Quantum Circuits in IBM Q Devices Using Progressive Qubit Assignment for Global Ordering12
Card-Based ZKP for Connectivity: Applications to Nurikabe, Hitori, and Heyawake11
A Botnet Detection in IoT Using a Hybrid Multi-objective Optimization Algorithm10
GUI Enabled Optimized Approach of CNN for Automatic Diagnosis of COVID-19 Using Radiograph Images10
A Novel ORLLTMLP-Based Attack Detection and Blockchain-Aware Security Framework Using LCTFA in Smart City Applications10
Design and Development of Modified Ensemble Learning with Weighted RBM Features for Enhanced Multi-disease Prediction Model10
Special Issue on Card-Based Cryptography 39
Correlation Between In Vitro and In Vivo Gene-Expression Strengths is Dependent on Bottleneck Process9
Codensity Games for Bisimilarity9
Chaotic Satin Bowerbird Optimizer Based Advanced AI Techniques for Detection of COVID-19 Diseases from CT Scans Images8
Card-Based Cryptographic Protocols with Malicious Players Using Private Operations7
On-Line Reoptimization of Mammalian Fed-Batch Culture Using a Nonlinear Model Predictive Controller7
Correction: Chaotic Satin Bowerbird Optimizer Based Advanced AI Techniques for Detection of COVID‑19 Diseases from CT Scans Images7
Neuro-Symbolic Reasoning for Multimodal Referring Expression Comprehension in HMI Systems7
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