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 2021-10-01 to 2025-10-01.)

Article	Citations
Correction to: Evaluating user story quality with LLMs: a comparative study	60
Predicting temporary deal success with social media timing signals	58
A semiautomatic method for obtaining a predictive deep learning model and a rule-based system for abdominal aortic aneurysms	54
Persuasive explanations for path reasoning recommendations	53
News dissemination: a semantic approach to barrier classification	52
Explaining the impact of design choices on model quality in predictive process monitoring	44
On the performance of large language models on introductory programming assignments	42
Leveraging neighborhood and path information for influential spreaders recognition in complex networks	42
Entity-aware answer sentence selection for question answering with transformer-based language models	41
MhSa-GRU: combining user’s dynamic preferences and items’ correlation to augment sequence recommendation	36
MYRTO: An efficient pervasive method for hybrid ML-based data filtered allocations	34
Clustering of renewable energy assets to optimize resource allocation and operational strategies	32
Deep learning approaches to lexical simplification: A survey	31
MF-EDNet: predicting stock market sector indices based on multi-feature fusion under emergency events	30
Generation method of suspense stories based on new-type inference	28
Exploring rich structure information for aspect-based sentiment classification	25
LLIMONIIE: Large Language Instructed Model for Open Named Italian Information Extraction	25
Leveraging contextual embeddings and self-attention neural networks with bi-attention for sentiment analysis	23
Analyzing and improving stability of matrix factorization for recommender systems	22
Temporal knowledge graph completion based on product space and contrastive learning of commonsense	21
An image and text-based multimodal model for detecting fake news in OSN’s	21
Fake news detection based on statement conflict	21
The more "similar" the happier: Augmenting text using similarity scoring with neural embeddings for happiness classification	20
Multi-class classification of COVID-19 documents using machine learning algorithms	19
3T-IEC*: a context-aware recommender system architecture for smart social networks (EBSN and SBSN)	19

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

Handling concept drifts with traditional process discovery algorithms	6
Dynamic memory-enhanced federated learning framework with trusted computing for multi-source data analysis	6
Finding a needle in a haystack: insights on feature selection for classification tasks	6
Editorial: recent advances in process analytics	6
Hybrid transformer-based recommender system for political news	6
An overview of actionable knowledge discovery techniques	6
A contextual-bandit approach for multifaceted reciprocal recommendations in online dating	6
Model-based decision support for knowledge-intensive processes	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
Expanding Normalized Systems from textual domain descriptions using TEMOS	6
Distance-based change point detection for novelty detection in concept-agnostic continual anomaly detection	6
Classroom teaching of tourism management using multimedia big data analysis	6
Interpretable segmentation of medical free-text records based on word embeddings	6
Temporal knowledge completion enhanced self-supervised entity alignment	6
FPGA supported rough set reduct calculation for big datasets	6
Modeling and querying temporal RDF knowledge graphs with relational databases	6