OOIR: Observatory of International Research

Papers

(The TQCC of Journal of Intelligent Information Systems 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 2021-11-01 to 2025-11-01.)

Article	Citations
Correction to: Evaluating user story quality with LLMs: a comparative study	66
A semiautomatic method for obtaining a predictive deep learning model and a rule-based system for abdominal aortic aneurysms	62
Persuasive explanations for path reasoning recommendations	56
Entity-aware answer sentence selection for question answering with transformer-based language models	53
Explaining the impact of design choices on model quality in predictive process monitoring	52
Leveraging neighborhood and path information for influential spreaders recognition in complex networks	45
News dissemination: a semantic approach to barrier classification	44
On the performance of large language models on introductory programming assignments	43
MhSa-GRU: combining user’s dynamic preferences and items’ correlation to augment sequence recommendation	41
MYRTO: An efficient pervasive method for hybrid ML-based data filtered allocations	38
MF-EDNet: predicting stock market sector indices based on multi-feature fusion under emergency events	35
Temporal knowledge graph completion based on product space and contrastive learning of commonsense	34
Fake news detection based on statement conflict	32
Leveraging contextual embeddings and self-attention neural networks with bi-attention for sentiment analysis	31
Exploring rich structure information for aspect-based sentiment classification	29
Generation method of suspense stories based on new-type inference	27
LLIMONIIE: Large Language Instructed Model for Open Named Italian Information Extraction	26
An image and text-based multimodal model for detecting fake news in OSN’s	24
Deep learning approaches to lexical simplification: A survey	23
TCM_DiffPR: knowledge graph diffusion model for personalized traditional Chinese medicine recommendation	21
Clustering of renewable energy assets to optimize resource allocation and operational strategies	21
Analyzing and improving stability of matrix factorization for recommender systems	21
The more "similar" the happier: Augmenting text using similarity scoring with neural embeddings for happiness classification	20
3T-IEC*: a context-aware recommender system architecture for smart social networks (EBSN and SBSN)	20
A hybrid location-based recommender system for trip planning and mobility using geo-tagged media	19

A novel technique using graph neural networks and relevance scoring to improve the performance of knowledge graph-based question answering systems	19
Multi-task learning for toxic comment classification and rationale extraction	19
Bi-knowledge views recommendation based on user-oriented contrastive learning	18
Improving the clarity of questions in Community Question Answering networks	18
Sentiment analysis of twitter data to detect and predict political leniency using natural language processing	17
Research on telecom customer churn prediction based on ensemble learning	16
Multi-class classification of COVID-19 documents using machine learning algorithms	16
Multi-level language interaction transformer for multimodal sentiment analysis	15
FedGR: Cross-platform federated group recommendation system with hypergraph neural networks	15
Transformer based multilingual joint learning framework for code-mixed and english sentiment analysis	15
Ensemble time series models for stock price prediction and portfolio optimization with sentiment analysis	14
Learning resource recommendation models based on learning behaviors and hierarchical structure graph	14
Group event recommendation based on a heterogeneous attribute graph considering long- and short- term preferences	14
Leveraging large language models, graph neural networks, and explainable AI for revolutionizing the next-generation network intrusion detection systems	14
SESAME - self-supervised framework for extractive question answering over document collections	14
Conversing with business process-aware large language models: the BPLLM framework	14
Dual-view embedding for hyper-relational knowledge graphs with hierarchical structure	13
Integrating control-theoretic predictive deep learning for resource-efficient computing systems	13
RGDF: a structure-aware lightweight fusion for efficient and accurate knowledge graph completion	13
Benchmarking state of the art website embedding methods for effective processing and analysis in the public sector	12
Computing semantic similarity of texts by utilizing dependency graph	12
Detecting bipolar disorder on social media by post grouping and interpretable deep learning	12
Leveraging distant supervision and deep learning for twitter sentiment and emotion classification	12
Unveiling Sustainable Agriculture: An Ensemble Approach for Precision Crop and Fertilizer Recommendation with Local Interpretable Model-Agnostic Explanations	12
An optimizer derived from Halpern’s method for enhanced neural network convergence and reduced carbon emissions	11
Context-aware chatbot for personal healthcare assistance using LLMs and LangChain	11
DoWTS – Denial-of-Wallet Test Simulator: Synthetic data generation for preemptive defence	10
Physics-guided approach with transfer learning in vehicle lateral dynamics	10
Machine learning methods for predicting the admissions and hospitalisations in the emergency department of a civil and military hospital	10
Word embedding for mixed-emotions analysis	10
Audio super-resolution via vision transformer	9
BMDF-SR: bidirectional multi-sequence decoupling fusion method for sequential recommendation	9
Evidence selection via multi-aspect query diversification for cross-document relation extraction	9
MFLP: Overlapping community detection by multi-level fast label propagation	9
GNNRec: gated graph neural network for session-based social recommendation model	9
Data- & compute-efficient deviance mining via active learning and fast ensembles	9
Customer churn prediction for a webcast platform via a voting-based ensemble learning model with Nelder-Mead optimizer	9
EST transformer: enhanced spatiotemporal representation learning for time series anomaly detection	8
Stock price nowcasting and forecasting with deep learning	8
KQFV: a knowledge-enhanced method using question answering for fact verification	8
A resistance distance approach to community detection in complex networks with key node identification	8
MaMiPot: a paradigm shift for the classification of imbalanced data	8
Improving graph collaborative filtering with view explorer for social recommendation	8
SKT-SQL: multi-decoupling and skeleton prompt framework for text-to-SQL on small-scale LMs	8
A transformer-based framework for predicting geomagnetic indices with uncertainty quantification	8
Two-stage sequential recommendation for side information fusion and long-term and short-term preferences modeling	8
A data-driven situation-aware framework for predictive analysis in smart environments	8
Graph attention networks with adaptive neighbor graph aggregation for cold-start recommendation	8
Design of fully homomorphic multikey encryption scheme for secured cloud access and storage environment	8
Tiramisù: making sense of multi-faceted process information through time and space	7

Redefining edge representations for enhanced information propagation on GNNs	7
Handling concept drifts with traditional process discovery algorithms	7
Distance-based change point detection for novelty detection in concept-agnostic continual anomaly detection	7
Approaches and algorithms to mitigate cold start problems in recommender systems: a systematic literature review	7
Semantic-enhanced reasoning question answering over temporal knowledge graphs	7
Hybrid transformer-based recommender system for political news	6
Prediction of customer’s perception in social networks by integrating sentiment analysis and machine learning	6
Tell me what you Like: introducing natural language preference elicitation strategies in a virtual assistant for the movie domain	6
Editorial: recent advances in process analytics	6
A contextual-bandit approach for multifaceted reciprocal recommendations in online dating	6
Modeling and querying temporal RDF knowledge graphs with relational databases	6
Improved machine learning technique for feature reduction and its application in spam email detection	6
Evidence-driven appraisal of students’ careers using process mining: a case study	6
Meta learning-based relevant user identification and aggregation for cold-start recommendation	6
Temporal knowledge completion enhanced self-supervised entity alignment	6
Identifying influential nodes using semi local isolating centrality based on average shortest path	6
Model-based decision support for knowledge-intensive processes	6
Cross-distillation-based approach for detecting poisoning attacks in recommender systems	6
Finding a needle in a haystack: insights on feature selection for classification tasks	6
Heuristic approaches for non-exhaustive pattern-based change detection in dynamic networks	6
Classroom teaching of tourism management using multimedia big data analysis	6
Dynamic memory-enhanced federated learning framework with trusted computing for multi-source data analysis	6
FPGA supported rough set reduct calculation for big datasets	6