OOIR: Observatory of International Research

Papers

(The median citation count of International Journal on Artificial Intelligence Tools is 1. 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 2022-08-01 to 2026-08-01.)

Article	Citations
Leveraging Multi-Modal Generative Adversarial Networks (GANs) for Synthetic Crime Data Simulation	49
GA-RISE: Posthoc Model Agnostic Explanations of Black-Box Classifiers Using Genetic Algorithm-Based Optimized Masks — A Case Study on Chest X-ray Images	41
Efficient Prediction of Seasonal Infectious Diseases Using Hybrid Machine Learning Algorithms with Feature Selection Techniques	35
Trust and Energy-aware Multipath Selection in MANET for Ensuring Quality-of-service Using the Optimization Protocol	29
Resolving Charging Station Placement Issues for Electric Vehicles: Hybrid Optimization-Assisted Multi-Objective Framework	25
Ultrasound Image Segmentation and Classification of Benign and Malignant Thyroid Nodules on the Basis of Deep Learning	25
Top-k Learned Clauses for Modern SAT Solvers	24
Learning Student Intents and Named Entities in the Education Domain	20
An Efficient Method for Video Object Detection in Automatic Scoring of Physical Experimental Operations	15
Unexpectedness as a Measure of Semantic Learning When Training Transformer Models	14
Efficient Online Big Data Stream Clustering Using Dual Interactive Wasserstein Generative Adversarial Network	13
Neural Network-based Tool for Survivability Assessment of K-variant Systems	13
Author Index Volume 33 (2024)	13
Enhancing Constraint Acquisition Through Hybrid Learning: An Integration of Passive and Active Learning Strategies	13
A Federated Graph-Based Multimodal AI Framework for Privacy-Preserving and Explainable Osteoporosis Detection	12
Transformer–Based Models for Low–Resource Language Processing in Specialized Technical Domains	11
Author Index Volume 34 (2025)	11
Scheduling Mixed Deteriorating Jobs on a Single Machine for Makespan Minimization	10
Denoising Convolutional Autoencoder Based Approach for Disordered Speech Recognition	10
Novel Sparse Feature Regression Method for Traffic Forecasting	10
Financial Time Series Forecasting: A Combinatorial Forecasting Model Based on STOA Optimizing VMD	9
Patch-Based Transformers for Long-Term Energy Consumption Forecasting	9
Toward a Hybrid Approach Combining Deep Learning and Case-Based Reasoning for Phishing Email Detection	9
A Hybrid Attention-based Deep Model for Lung Cancer Subtype Classification from Multimodality Images	8
Breast Masses Segmentation: A Framework of Skip Dilated Semantic Network and Machine Learning	8

Edge AI-Driven System for Silkworm Pupae Gender Classification and Process Control	8
Intelligent Optimization Algorithm for Support Vector Machine: Research and Analysis of Prediction Ability	7
Leveraging Contextual Information in Biomedical Named Entity Recognition: Determining the Optimal Depth of Context	7
Learning-Driven Portfolio–Island Decoding for Adaptive Scheduling Problems	7
Intrusion Detection Using Bat Optimization Algorithm and DenseNet for IoT and Cloud Based Systems	7
LLM-Driven Psychological Companionship for LBC: A Multi-Tone Emotional Voice Synthesis Framework	6
Multimodal Biometrics Authentication in Healthcare Using Improved Convolution Deep Learning Model	6
Comparative Analysis of AlphaFold2, AlphaFold3 and ESMFold in Chimeric Antigen Receptor Structure Prediction for Pancreatic Cancer Immunotherapy	6
RetU-Net: An Enhanced U-Net Architecture for Retinal Lesion Segmentation	6
Fraud Detection Using Large-scale Imbalance Dataset	6
Personality Prediction on Social Media Platform Using Sea Lion Updated Shark Smell Optimization Assisted Hybrid Deep Learning Model	6
Outlier Detection Using a GPU-Based Parallel Algorithm: Quantum Clustering	6
Economic Data Forecasting Through Interval Data Analysis	6
A Study on Chinese-English Machine Translation Based on Migration Learning and Neural Networks	6
An Effective Depression Diagnostic System Using Speech Signal Analysis Through Deep Learning Methods	6
An Enhanced Spotted Hyena Optimization Algorithm and its Application to Engineering Design Scenario	6
The Dead-reckoning Navigation Guidance Law Based on Neural Network Collaborative Forecasting	5
Underwater Target Tracking in Radar Images Using Exponential Competitive Swarm-based Deep Neuro Fuzzy Network	5
Rolling Bearing Fault Detection Using Domain Adaptation-Based Anomaly Detection	5
Deep Learning with Game Theory Assisted Vertical Handover Optimization in a Heterogeneous Network	5
Editorial: Special Issue on Reliable Machine Learning and Optimization	5
Keyboard Layout Optimization and Adaptation	5
A Deep Stacked Ensemble Model for Microarray Data Classification with Boosted Meta Classifier	5
ChatGPT in Education: A Review of Recent Advances and Applications	5
Deep Neural Network-based Approach to Identifying Road Lanes	5
On Bounding the Behavior of Neurons	5
Double-inputs Illumination Pattern Recognizing Model with Automatic Shadow Detection Network in a Single Face Image	4
Summary Augmenter: A Text Augmentation Framework to Improve Summarization Quality	4
Pinakas: A Methodology for Deep Analysis of Tables in Technical Documents	4
GAEn/MGT: A Novel Framework for Bilingual Sentiment Analysis in Mental Health Applications	4
Text Document Clustering Using Modified Particle Swarm Optimization with k-means Model	4
Extracting Pseudocode from Digital Block Diagram in Technical Documents	4
Vision and Audio-based Methods for First Impression Recognition Using Machine Learning Algorithms: A Review	4
A Novel Hybrid Optimization-based Backstepping Fractional Order Sliding Mode Proportional-integral-derivative Controller for Nonlinear Biological System	4
Assessing the Accuracy of AI Tools (Google Translate and Gemini) in Translating Arabic Idiomatic Expressions and Proverbs into English	4
Abax: Extracting Mathematical Formulas from Chart Images Using Spatial Pixel Information	4
A RERNN-SGO Technique for Improved Quasi-Z-Source Cascaded Multilevel Inverter Topology for Interfacing Three Phase Grid-Tie Photovoltaic System	4
Metrics for Domain Shift Characterization: Comparisons and New Directions	4
Prediction of Incident Solar Radiation Using a Hybrid Kernel Based Extreme Learning Machine	3
Assessing and Addressing Model Trustworthiness Trade-offs in Trauma Triage	3
Editorial: Special Issue on Heterogeneous Domain Adaptation Learning and its Applications in Intelligent System	3
Measuring Contextual Reliance of Object Detection Models: A Black Box Explainability Method	3
Predictive Learning Methods to Price European Options Using Ensemble Model and Multi-asset Data	3
Development of Optimal Hyperparameter Tuning-Cycle GAN for Photo-realistic Face Age Progression Model	3
A Deep Learning-Based Reliable Link Prediction Model for Achieving Traffic-Aware Routing in Mobile Ad-hoc Networks	3
Editorial: Recognizing Professor and Asia University President Jeffrey P. Tsai’s Contributions to IJAIT	3
Unlocking Seamless Gesture-Based Interfaces: Hand Gesture Recognition with 3DCNN and LSTM	3
Beyond ROUGE: A Comprehensive Evaluation Metric for Abstractive Summarization Leveraging Similarity, Entailment, and Acceptability	3
Winners of Nikolaos Bourbakis Award for 2023	3
A Recurrent Stochastic Configuration Network for Dynamic System Modeling and Its Application	3

An Information Extraction and Thorough Understanding Method for Test-question Graph of Junior High School Physical Mechanical Motion	3
Dual Stream Conditional Generative Adversarial Network Fusion for Video Abnormal Behavior Detection	3
PAC-UNet: Parallel Dual Self-Attention with Convolution for Meniscal MRI Image Segmentation	3
Deep Reinforcement Learning with Permutation Equivariant Neural Network for Multi-Armed Bandit	3
Alternative to Buy-and-Hold: Predicting Indices Direction and Improving Returns Using a Novel Hybrid LSTM Model	3
Editorial: Recognizing Professor Ioannis Hatziligeroudis Contributions to IJAIT	3
Enhancing Image Quality Using a Blind Quality Evaluator Custom Network for Object Detection	3
Advanced Machine Learning Techniques for Detecting Irregularities in Skin Lesion Borders: Enhancing Early Skin Cancer Detection	2
On the Inverse Frequent Itemset Mining Problem for Condensed Representations of Itemsets	2
Towards Algorithms for Argumentation Frameworks with Higher-order Attacks	2
Classification of Visually Evoked Potential EEG Using Hybrid Anchoring-based Particle Swarm Optimized Scaled Conjugate Gradient Multi-Layer Perceptron Classifier	2
Deep Learning Approach for Multi-class Semantic Segmentation of UAV Images	2
Co-Creation in Generic Educational Activities: A Swarming Framework	2
Annotated OpenAPI Descriptions and Ontology for REST Services	2
Next Flight Prediction for PKX's Frequent Flyers	2
Robust Clustering-Based Automated Video Shot Boundary Detection Using Handcrafted and Deep Feature Fusion	2
An Adaptive Learning Environment for Programming Based on Fuzzy Logic and Machine Learning	2
Enhancing Arabic Fake News Detection: An Empirical Study on the GAFND Benchmark and the Impact of Feature Engineering	2
Analysis of Ensemble Classification of Twitter Sentiments Using New Dependency Tree Based Approach	2
A Robust LCSE-ResNet for Marine Man-made Target Classification Based on Optical Remote Sensing Imagery	2
Integrating Graph Convolutional Networks And Multi-Head Self-Attention For Real-Time Threat Perception In Encrypted Communication Environments	2
Traffic Prediction and Signal Controlling Using Mode-search Optimization Based Deep Long Short Term Memory Classifier	2
Mining Humanistic Data with Machine Learning to Improve Open Educational Resources (OER) Engagement	2
Hybrid Classifier for Crowd Anomaly Detection with Bernoulli Map Evaluation	2
Differential Evolution Algorithm with Dual Information Guidance	2
Metaheuristic Algorithms in Optimal Power Flow Analysis: A Qualitative Systematic Review	2
Transfer Learning-based Drowsiness Detection System for Driver Assistance and Classification of Traffic Signs Employing a Deep Convolutional Neural Network	2
Predictive Analysis of Academic Performance Through Lifestyle Factors Using Interpretable Machine Learning and Evolutionary-Based Enhancement	2
To Improve the Scalability of an Edge-based Supply Chain Management Framework Utilizing High Priority Access Smart Contract and Blockchain Technology	2
Research on the Application of Intelligent Motion Data Analysis Algorithm in High-Performance Sports Training Platform	2
Identifying Specific Learning Disabilities Through Handwriting Analysis: A Transfer Learning Approach with Transformers	2
Higher Order Trust Ranking of LinkedIn Accounts with Iterative Matrix Methods	2
Improving McDiarmid Tree Performance for Predicting Heart Disease from Data Streams with Missing and Meaningless Values	2
An Ensemble Model for Data Imputation to Support Pervasive Applications	2
Optimized Neural Network Architectures for Brain Tumor Classification and Precision Medicine	1
Effectively Self-Labeled Method with Accelerated Particle Swarm Optimization-Based Sample Subspace Optimization	1
Improving Hierarchical Short Text Clustering through Dominant Feature Learning	1
Beyond Accuracy: A Comprehensive Comparative Study of Gradient Boosting Versus Tabular Deep Learning and Explainability Techniques for Mixed-Type Tabular Data Models Using SHAP and LIME	1
Editorial: Special Issue on Emerging Techniques in Trusted and Reliable Machine Learning	1
Doctors Versus YOLO: Comparison Between YOLO Algorithm, Orthopedic and Traumatology Resident Doctors and General Practitioners on Detection of Proximal Femoral Fractures on X-ray Images with Multi Met	1
An Efficient Deep Learning Mechanism for Predicting Fake News/Reviews in Twitter Data	1
Sleep Staging Method for Imbalanced EEG Data Based on Differential Privacy Federated Learning	1
An Efficient Variable Neighborhood Search for Generalized Regenerator Location Problems	1
Traffic Prediction System Using IoT Cluster Based Evolutionary Under Sampling Approach	1
A Deep Learning Approach to Imputation of Dynamic Pupil Size Data and Prediction of ADHD	1
Editorial: Winners of Nikolaos Bourbakis Award for 2024	1
Leveraging Advanced Deep Learning Algorithms for Corn Leaf Disease Detection	1
Diagnosing Attention Deficit Hyperactivity Disorder Using Machine Learning Methods on Serious Game-generated Data	1
Emotion Analysis of User Comments on E-Commerce Platforms Based on Deep Learning	1
QHAN: Quantum-inspired Hierarchical Attention Mechanism Network for Question Answering	1
Emotion-Driven Energy Load Forecasting: An Ensemble Leveraging Insights from News	1
A Human Body Infrared Image Recognition Approach via DCA-Net Deep Learning Models	1
Fuzzy Rule-Based Heterogeneous Domain Adaptive: A Case Study of Particle Motion in Flow Field from Simulation to Experiment	1
Adaptive Multi-Dimensional Convolution with Sparse Attention Mechanism for Traffic Volume Prediction Using High-Resolution Aerial Images	1
Context-Aware Acquisition Module using Vehicle to Roadside Unit Unicast Communication for Intelligent Transport System in Edge Computing	1
Incorporating Normalized L1 Penalty and Eigenvalue Constraint for Causal Structure Learning	1
Efficient Classification of Human-Generated vs. Machine-Generated Text Using Lightweight Machine Learning Models	1
Measuring Interpretability: A Systematic Literature Review of Interpretability Measures in Artificial Intelligence	1
AUTHOR INDEX: Volume 32	1
Preprocessing and Artificial Intelligence for Increasing Explainability in Mental Health	1
Intelligent Inventory and Knowledge Management in Healthcare Supply Chains	1
The Post-Human Voice in China: Generative AI, Cultural Mediation, and the Transformation of Everyday Communication	1
Effects of Explanation Types on User Satisfaction and Performance in Human-agent Teams	1
Hybrid DeepXAI Fusion Network for Interpretable Big Data Analytics and Secure Cloud Decision-Making Systems	1
An Intelligent Traffic Analysis and Prediction System Using Deep Learning Technique	1
CAN-Net: A Multi-hidden Layer Attention Deep Learning Method for Surface Roughness Prediction During Abrasive Belt Grinding of Superalloy with Local Weights	1
Enhancing Dynamic Multi-objective Optimization Using Opposition-based Learning and Simulated Annealing	1
Blockchain and Artificial Intelligence-based Solutions for Healthcare Management: Liver Disease Detection as a Case Study	1
A Median-based Resilient Distributed Optimization Algorithm Against Byzantine Attack	1
Enhancing Mobile Learning Applications with Large Language Models: Design and Evaluation of AIChemApp	1
Online Feature Selection Using Sparse Gradient	1
Traffic Congestion Prediction Using Feature Series LSTM Neural Network and a New Congestion Index	1
An Integrated Framework with Deep Learning for Segmentation and Classification of Cancer Disease	1
Intelligent Program Correction and Evaluation System	1
Neural Adversarial Attacks with Random Noises	1
Sentiment Analysis on Social Networks for the 2024 Election in Mexico Using Machine Learning Algorithms	1