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 2021-08-01 to 2025-08-01.)

Article	Citations
Predicting temporary deal success with social media timing signals	56
A semiautomatic method for obtaining a predictive deep learning model and a rule-based system for abdominal aortic aneurysms	53
Persuasive explanations for path reasoning recommendations	49
News dissemination: a semantic approach to barrier classification	47
Explaining the impact of design choices on model quality in predictive process monitoring	46
MhSa-GRU: combining user’s dynamic preferences and items’ correlation to augment sequence recommendation	40
Leveraging neighborhood and path information for influential spreaders recognition in complex networks	39
Correction to: Evaluating user story quality with LLMs: a comparative study	39
Entity-aware answer sentence selection for question answering with transformer-based language models	38
MYRTO: An efficient pervasive method for hybrid ML-based data filtered allocations	31
Fake news detection based on statement conflict	31
Depression detection from sMRI and rs-fMRI images using machine learning	31
MF-EDNet: predicting stock market sector indices based on multi-feature fusion under emergency events	29
Leveraging contextual embeddings and self-attention neural networks with bi-attention for sentiment analysis	28
Clustering of renewable energy assets to optimize resource allocation and operational strategies	28
Impact of techniques to reduce error in high error rule-based expert system gradient descent networks	26
Deep learning approaches to lexical simplification: A survey	25
Temporal knowledge graph completion based on product space and contrastive learning of commonsense	24
Analyzing and improving stability of matrix factorization for recommender systems	24
An image and text-based multimodal model for detecting fake news in OSN’s	23
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	21
A novel technique using graph neural networks and relevance scoring to improve the performance of knowledge graph-based question answering systems	20
3T-IEC*: a context-aware recommender system architecture for smart social networks (EBSN and SBSN)	20
Multi-class classification of COVID-19 documents using machine learning algorithms	20

Bi-knowledge views recommendation based on user-oriented contrastive learning	19
Improving the clarity of questions in Community Question Answering networks	19
Making design decisions under uncertainties: probabilistic reasoning and robust product design	19
Multi-task learning for toxic comment classification and rationale extraction	18
Sentiment analysis of twitter data to detect and predict political leniency using natural language processing	18
Multi-level language interaction transformer for multimodal sentiment analysis	17
Research on telecom customer churn prediction based on ensemble learning	17
Leveraging large language models, graph neural networks, and explainable AI for revolutionizing the next-generation network intrusion detection systems	16
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
FedGR: Cross-platform federated group recommendation system with hypergraph neural networks	15
Ensemble time series models for stock price prediction and portfolio optimization with sentiment analysis	13
Computing semantic similarity of texts by utilizing dependency graph	13
Group event recommendation based on a heterogeneous attribute graph considering long- and short- term preferences	13
Leveraging distant supervision and deep learning for twitter sentiment and emotion classification	13
SESAME - self-supervised framework for extractive question answering over document collections	13
An optimizer derived from Halpern’s method for enhanced neural network convergence and reduced carbon emissions	12
Benchmarking state of the art website embedding methods for effective processing and analysis in the public sector	12
Integrating control-theoretic predictive deep learning for resource-efficient computing systems	12
Machine learning methods for predicting the admissions and hospitalisations in the emergency department of a civil and military hospital	12
Dual-view embedding for hyper-relational knowledge graphs with hierarchical structure	12
How to raise artwork prices using action rules, personalization and artwork visual features	12
Detecting bipolar disorder on social media by post grouping and interpretable deep learning	12
Word embedding for mixed-emotions analysis	11
Frequency roughness analysis in image processing and game design	11
Audio super-resolution via vision transformer	11
Customer churn prediction for a webcast platform via a voting-based ensemble learning model with Nelder-Mead optimizer	11
Physics-guided approach with transfer learning in vehicle lateral dynamics	10
DoWTS – Denial-of-Wallet Test Simulator: Synthetic data generation for preemptive defence	10
Evidence selection via multi-aspect query diversification for cross-document relation extraction	10
BMDF-SR: bidirectional multi-sequence decoupling fusion method for sequential recommendation	10
Data- & compute-efficient deviance mining via active learning and fast ensembles	10
EST transformer: enhanced spatiotemporal representation learning for time series anomaly detection	10
Graph attention networks with adaptive neighbor graph aggregation for cold-start recommendation	9
MaMiPot: a paradigm shift for the classification of imbalanced data	9
A data-driven situation-aware framework for predictive analysis in smart environments	9
GNNRec: gated graph neural network for session-based social recommendation model	9
Stock price nowcasting and forecasting with deep learning	9
A transformer-based framework for predicting geomagnetic indices with uncertainty quantification	9
KQFV: a knowledge-enhanced method using question answering for fact verification	8
Design of fully homomorphic multikey encryption scheme for secured cloud access and storage environment	8
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
Improving graph collaborative filtering with view explorer for social recommendation	8
Tiramisù: making sense of multi-faceted process information through time and space	7
Semantic-enhanced reasoning question answering over temporal knowledge graphs	7
Distance-based change point detection for novelty detection in concept-agnostic continual anomaly detection	7
Identifying influential nodes using semi local isolating centrality based on average shortest path	7
Handling concept drifts with traditional process discovery algorithms	7
An overview of actionable knowledge discovery techniques	7

Performing arithmetic using a neural network trained on images of digit permutation pairs	7
Interpretable segmentation of medical free-text records based on word embeddings	6
A systematic review of question answering systems for non-factoid questions	6
Hybrid transformer-based recommender system for political news	6
FPGA supported rough set reduct calculation for big datasets	6
Modeling and querying temporal RDF knowledge graphs with relational databases	6
Model-based decision support for knowledge-intensive processes	6
Classroom teaching of tourism management using multimedia big data analysis	6
Improved machine learning technique for feature reduction and its application in spam email detection	6
Temporal knowledge completion enhanced self-supervised entity alignment	6
Evidence-driven appraisal of students’ careers using process mining: a case study	6
A contextual-bandit approach for multifaceted reciprocal recommendations in online dating	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
Editorial: recent advances in process analytics	6
Heuristic approaches for non-exhaustive pattern-based change detection in dynamic networks	6
An overview of machine learning techniques in constraint solving	6