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 2022-01-01 to 2026-01-01.)

Article	Citations
Correction to: Evaluating user story quality with LLMs: a comparative study	74
A semiautomatic method for obtaining a predictive deep learning model and a rule-based system for abdominal aortic aneurysms	66
News dissemination: a semantic approach to barrier classification	63
On the performance of large language models on introductory programming assignments	54
CMKF:Multimodal emotion recognition in conversations based on CoMamba and KAN-Fuse	52
MhSa-GRU: combining user’s dynamic preferences and items’ correlation to augment sequence recommendation	48
Explaining the impact of design choices on model quality in predictive process monitoring	47
Persuasive explanations for path reasoning recommendations	46
Entity-aware answer sentence selection for question answering with transformer-based language models	44
MYRTO: An efficient pervasive method for hybrid ML-based data filtered allocations	41
MF-EDNet: predicting stock market sector indices based on multi-feature fusion under emergency events	41
Leveraging neighborhood and path information for influential spreaders recognition in complex networks	41
Fake news detection based on statement conflict	33
Analyzing and improving stability of matrix factorization for recommender systems	33
LLIMONIIE: Large Language Instructed Model for Open Named Italian Information Extraction	30
Deep learning approaches to lexical simplification: A survey	28
Temporal knowledge graph completion based on product space and contrastive learning of commonsense	27
Clustering of renewable energy assets to optimize resource allocation and operational strategies	26
TCM_DiffPR: knowledge graph diffusion model for personalized traditional Chinese medicine recommendation	26
Generation method of suspense stories based on new-type inference	25
Exploring rich structure information for aspect-based sentiment classification	23
The more "similar" the happier: Augmenting text using similarity scoring with neural embeddings for happiness classification	22
3T-IEC*: a context-aware recommender system architecture for smart social networks (EBSN and SBSN)	22
An image and text-based multimodal model for detecting fake news in OSN’s	22
A novel technique using graph neural networks and relevance scoring to improve the performance of knowledge graph-based question answering systems	21

Sentiment analysis of twitter data to detect and predict political leniency using natural language processing	20
A hybrid location-based recommender system for trip planning and mobility using geo-tagged media	20
Bi-knowledge views recommendation based on user-oriented contrastive learning	20
Improving the clarity of questions in Community Question Answering networks	20
Multi-task learning for toxic comment classification and rationale extraction	18
Multi-class classification of COVID-19 documents using machine learning algorithms	18
Casting criminals: a framework for evaluating demographic bias in AI-generated narratives	18
Research on telecom customer churn prediction based on ensemble learning	17
FedGR: Cross-platform federated group recommendation system with hypergraph neural networks	16
Learning resource recommendation models based on learning behaviors and hierarchical structure graph	16
Leveraging knowledge graphs and LLMs for content-based reviewer assignment	16
Leveraging large language models, graph neural networks, and explainable AI for revolutionizing the next-generation network intrusion detection systems	16
Multi-level language interaction transformer for multimodal sentiment analysis	15
Transformer based multilingual joint learning framework for code-mixed and english sentiment analysis	15
Conversing with business process-aware large language models: the BPLLM framework	15
SESAME - self-supervised framework for extractive question answering over document collections	14
Integrating control-theoretic predictive deep learning for resource-efficient computing systems	14
RGDF: a structure-aware lightweight fusion for efficient and accurate knowledge graph completion	14
Group event recommendation based on a heterogeneous attribute graph considering long- and short- term preferences	14
Ensemble time series models for stock price prediction and portfolio optimization with sentiment analysis	13
Benchmarking state of the art website embedding methods for effective processing and analysis in the public sector	13
Unveiling Sustainable Agriculture: An Ensemble Approach for Precision Crop and Fertilizer Recommendation with Local Interpretable Model-Agnostic Explanations	13
Dual-view embedding for hyper-relational knowledge graphs with hierarchical structure	13
Computing semantic similarity of texts by utilizing dependency graph	13
Leveraging distant supervision and deep learning for twitter sentiment and emotion classification	12
DoWTS – Denial-of-Wallet Test Simulator: Synthetic data generation for preemptive defence	11
Context-aware chatbot for personal healthcare assistance using LLMs and LangChain	11
Physics-guided approach with transfer learning in vehicle lateral dynamics	11
Machine learning methods for predicting the admissions and hospitalisations in the emergency department of a civil and military hospital	11
An optimizer derived from Halpern’s method for enhanced neural network convergence and reduced carbon emissions	11
Word embedding for mixed-emotions analysis	11
Detecting bipolar disorder on social media by post grouping and interpretable deep learning	11
EST transformer: enhanced spatiotemporal representation learning for time series anomaly detection	10
Evidence selection via multi-aspect query diversification for cross-document relation extraction	10
Customer churn prediction for a webcast platform via a voting-based ensemble learning model with Nelder-Mead optimizer	10
KQFV: a knowledge-enhanced method using question answering for fact verification	9
Data- & compute-efficient deviance mining via active learning and fast ensembles	9
Audio super-resolution via vision transformer	9
MaMiPot: a paradigm shift for the classification of imbalanced data	9
MFLP: Overlapping community detection by multi-level fast label propagation	9
SKT-SQL: multi-decoupling and skeleton prompt framework for text-to-SQL on small-scale LMs	9
GNNRec: gated graph neural network for session-based social recommendation model	9
BMDF-SR: bidirectional multi-sequence decoupling fusion method for sequential recommendation	9
A transformer-based framework for predicting geomagnetic indices with uncertainty quantification	8
Handling concept drifts with traditional process discovery algorithms	8
Graph attention networks with adaptive neighbor graph aggregation for cold-start recommendation	8
Stock price nowcasting and forecasting with deep learning	8
A data-driven situation-aware framework for predictive analysis in smart environments	8
Two-stage sequential recommendation for side information fusion and long-term and short-term preferences modeling	8
Improving graph collaborative filtering with view explorer for social recommendation	8

Design of fully homomorphic multikey encryption scheme for secured cloud access and storage environment	8
Approaches and algorithms to mitigate cold start problems in recommender systems: a systematic literature review	8
A resistance distance approach to community detection in complex networks with key node identification	8
Distance-based change point detection for novelty detection in concept-agnostic continual anomaly detection	7
Cross-distillation-based approach for detecting poisoning attacks in recommender systems	7
Redefining edge representations for enhanced information propagation on GNNs	7
Tiramisù: making sense of multi-faceted process information through time and space	7
Identifying influential nodes using semi local isolating centrality based on average shortest path	6
A contextual-bandit approach for multifaceted reciprocal recommendations in online dating	6
Meta learning-based relevant user identification and aggregation for cold-start recommendation	6
Model-based decision support for knowledge-intensive processes	6
T-shaped expert mining: a novel approach based on skill translation and focal loss	6
Editorial: recent advances in process analytics	6
Temporal knowledge completion enhanced self-supervised entity alignment	6
Improved machine learning technique for feature reduction and its application in spam email detection	6
Frequency-aware experts with multi-stage fusion for multimodal sentiment analysis	6
Textual and structural dual enhancement for knowledge graph completion with large language models	6
Modeling and querying temporal RDF knowledge graphs with relational databases	6
FPGA supported rough set reduct calculation for big datasets	6
Hybrid transformer-based recommender system for political news	6
Classroom teaching of tourism management using multimedia big data analysis	6
Finding a needle in a haystack: insights on feature selection for classification tasks	6
Dynamic memory-enhanced federated learning framework with trusted computing for multi-source data analysis	6
Expanding Normalized Systems from textual domain descriptions using TEMOS	6
Semantic-enhanced reasoning question answering over temporal knowledge graphs	6
Evidence-driven appraisal of students’ careers using process mining: a case study	6