OOIR: Observatory of International Research

Papers

(The TQCC of Journal of Intelligent Information Systems is 8. 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
A semiautomatic method for obtaining a predictive deep learning model and a rule-based system for abdominal aortic aneurysms	115
Leveraging neighborhood and path information for influential spreaders recognition in complex networks	83
Correction to: Evaluating user story quality with LLMs: a comparative study	63
MhSa-GRU: combining user’s dynamic preferences and items’ correlation to augment sequence recommendation	60
News dissemination: a semantic approach to barrier classification	60
CMKF:Multimodal emotion recognition in conversations based on CoMamba and KAN-Fuse	53
On the performance of large language models on introductory programming assignments	51
Explaining the impact of design choices on model quality in predictive process monitoring	47
FinSent-DistillQ: A distilled large language model with chain-of-thought fine-tuning for financial sentiment analysis	36
Persuasive explanations for path reasoning recommendations	36
Generation method of suspense stories based on new-type inference	33
TCM_DiffPR: knowledge graph diffusion model for personalized traditional Chinese medicine recommendation	33
MYRTO: An efficient pervasive method for hybrid ML-based data filtered allocations	32
MF-EDNet: predicting stock market sector indices based on multi-feature fusion under emergency events	31
Framework for grouping local process models	30
LLIMONIIE: Large Language Instructed Model for Open Named Italian Information Extraction	30
Temporal knowledge graph completion based on product space and contrastive learning of commonsense	29
Deep learning approaches to lexical simplification: A survey	29
TempRAA: temporal relation-aware alignment for enhancing LLMs reasoning in time-sensitive knowledge graph question answering	28
An image and text-based multimodal model for detecting fake news in OSN’s	28
Clustering of renewable energy assets to optimize resource allocation and operational strategies	28
The more "similar" the happier: Augmenting text using similarity scoring with neural embeddings for happiness classification	25
Multi-task learning for toxic comment classification and rationale extraction	23
FuDGE: Modeling full dynamic graph evolution	23
3T-IEC*: a context-aware recommender system architecture for smart social networks (EBSN and SBSN)	22

Fine-tuning LLMs for answer set programming	21
Improving the clarity of questions in Community Question Answering networks	19
Bi-knowledge views recommendation based on user-oriented contrastive learning	19
Casting criminals: a framework for evaluating demographic bias in AI-generated narratives	18
Sentiment analysis of twitter data to detect and predict political leniency using natural language processing	18
A novel technique using graph neural networks and relevance scoring to improve the performance of knowledge graph-based question answering systems	18
Research on telecom customer churn prediction based on ensemble learning	17
Multi-class classification of COVID-19 documents using machine learning algorithms	17
A hybrid location-based recommender system for trip planning and mobility using geo-tagged media	17
Leveraging knowledge graphs and LLMs for content-based reviewer assignment	16
Learning resource recommendation models based on learning behaviors and hierarchical structure graph	16
Conversing with business process-aware large language models: the BPLLM framework	16
Multi-level language interaction transformer for multimodal sentiment analysis	16
Leveraging large language models, graph neural networks, and explainable AI for revolutionizing the next-generation network intrusion detection systems	15
Transformer based multilingual joint learning framework for code-mixed and english sentiment analysis	15
HHS-RAG: Hierarchical hypergraph retrieval-augmented generation with hyperbolic contrastive learning and subgraph-level decision	15
FedGR: Cross-platform federated group recommendation system with hypergraph neural networks	15
SESAME - self-supervised framework for extractive question answering over document collections	14
RGDF: a structure-aware lightweight fusion for efficient and accurate knowledge graph completion	14
Ensemble time series models for stock price prediction and portfolio optimization with sentiment analysis	14
Group event recommendation based on a heterogeneous attribute graph considering long- and short- term preferences	14
Computing semantic similarity of texts by utilizing dependency graph	14
Integrating control-theoretic predictive deep learning for resource-efficient computing systems	14
Unveiling Sustainable Agriculture: An Ensemble Approach for Precision Crop and Fertilizer Recommendation with Local Interpretable Model-Agnostic Explanations	14
Dual-view embedding for hyper-relational knowledge graphs with hierarchical structure	14
Benchmarking state of the art website embedding methods for effective processing and analysis in the public sector	13
Context-aware chatbot for personal healthcare assistance using LLMs and LangChain	13
Leveraging distant supervision and deep learning for twitter sentiment and emotion classification	13
Efficient RDF entity summarization using centrality measures	13
An optimizer derived from Halpern’s method for enhanced neural network convergence and reduced carbon emissions	13
Graphlet-based edge weighting for improved community detection in complex networks	12
Machine learning methods for predicting the admissions and hospitalisations in the emergency department of a civil and military hospital	12
Detecting bipolar disorder on social media by post grouping and interpretable deep learning	11
BMDF-SR: bidirectional multi-sequence decoupling fusion method for sequential recommendation	11
Audio super-resolution via vision transformer	11
Data- & compute-efficient deviance mining via active learning and fast ensembles	10
Enhancing SQL generation through high-quality logical guidance	10
MFLP: Overlapping community detection by multi-level fast label propagation	10
TPLI: Transformation-partitioned learned index for multi-domain key-value stores	10
Physics-guided approach with transfer learning in vehicle lateral dynamics	10
GNNRec: gated graph neural network for session-based social recommendation model	10
Evidence selection via multi-aspect query diversification for cross-document relation extraction	10
DiSAM4Rec: distilled and sparsity adaptive Mamba for sequential recommendation	10
TransEdge: a lightweight transformer-based anomaly detection framework for edge devices	10
Improving graph collaborative filtering with view explorer for social recommendation	9
EST transformer: enhanced spatiotemporal representation learning for time series anomaly detection	9
A resistance distance approach to community detection in complex networks with key node identification	9
KQFV: a knowledge-enhanced method using question answering for fact verification	9
DoWTS – Denial-of-Wallet Test Simulator: Synthetic data generation for preemptive defence	9
ILIN: Iteration-Guided Logical Injection Network for complex query answering on knowledge graphs	9

MaMiPot: a paradigm shift for the classification of imbalanced data	9
Customer churn prediction for a webcast platform via a voting-based ensemble learning model with Nelder-Mead optimizer	9
Joint modeling of source, target, and context for metaphor sentiment analysis: Dataset and method	8
Semantic-enhanced reasoning question answering over temporal knowledge graphs	8
SKT-SQL: multi-decoupling and skeleton prompt framework for text-to-SQL on small-scale LMs	8
Active learning for LLM-based recommender systems	8
Cross-distillation-based approach for detecting poisoning attacks in recommender systems	8
Stock price nowcasting and forecasting with deep learning	8
Special issue on intelligent systems, ISMIS’24 selected papers	8
Handling concept drifts with traditional process discovery algorithms	8
FactualRAG: a RAG-Powered framework for LLM fact-checking via IFCN-Accredited sources	8
Graph attention networks with adaptive neighbor graph aggregation for cold-start recommendation	8
A transformer-based framework for predicting geomagnetic indices with uncertainty quantification	8