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 2021-06-01 to 2025-06-01.)

Article	Citations
Predicting temporary deal success with social media timing signals	53
A semiautomatic method for obtaining a predictive deep learning model and a rule-based system for abdominal aortic aneurysms	48
News dissemination: a semantic approach to barrier classification	46
Persuasive explanations for path reasoning recommendations	46
Explaining the impact of design choices on model quality in predictive process monitoring	45
Leveraging neighborhood and path information for influential spreaders recognition in complex networks	40
MhSa-GRU: combining user’s dynamic preferences and items’ correlation to augment sequence recommendation	39
Entity-aware answer sentence selection for question answering with transformer-based language models	36
Correction to: Evaluating user story quality with LLMs: a comparative study	31
Depression detection from sMRI and rs-fMRI images using machine learning	30
Exploring rich structure information for aspect-based sentiment classification	29
MYRTO: An efficient pervasive method for hybrid ML-based data filtered allocations	28
Fake news detection based on statement conflict	26
MF-EDNet: predicting stock market sector indices based on multi-feature fusion under emergency events	25
Deep learning approaches to lexical simplification: A survey	23
Leveraging contextual embeddings and self-attention neural networks with bi-attention for sentiment analysis	23
Impact of techniques to reduce error in high error rule-based expert system gradient descent networks	23
Temporal knowledge graph completion based on product space and contrastive learning of commonsense	22
Clustering of renewable energy assets to optimize resource allocation and operational strategies	22
Analyzing and improving stability of matrix factorization for recommender systems	22
3T-IEC*: a context-aware recommender system architecture for smart social networks (EBSN and SBSN)	19
A novel technique using graph neural networks and relevance scoring to improve the performance of knowledge graph-based question answering systems	19
An image and text-based multimodal model for detecting fake news in OSN’s	19
The more "similar" the happier: Augmenting text using similarity scoring with neural embeddings for happiness classification	19
Improving the clarity of questions in Community Question Answering networks	19

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
Making design decisions under uncertainties: probabilistic reasoning and robust product design	17
Multi-class classification of COVID-19 documents using machine learning algorithms	17
Multi-task learning for toxic comment classification and rationale extraction	17
Conversing with business process-aware large language models: the BPLLM framework	16
FedGR: Cross-platform federated group recommendation system with hypergraph neural networks	16
Research on telecom customer churn prediction based on ensemble learning	15
Multi-level language interaction transformer for multimodal sentiment analysis	15
Computing semantic similarity of texts by utilizing dependency graph	14
Group event recommendation based on a heterogeneous attribute graph considering long- and short- term preferences	14
Transformer based multilingual joint learning framework for code-mixed and english sentiment analysis	14
SESAME - self-supervised framework for extractive question answering over document collections	14
Ensemble time series models for stock price prediction and portfolio optimization with sentiment analysis	13
Dual-view embedding for hyper-relational knowledge graphs with hierarchical structure	12
Integrating control-theoretic predictive deep learning for resource-efficient computing systems	12
Leveraging distant supervision and deep learning for twitter sentiment and emotion classification	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
Machine learning methods for predicting the admissions and hospitalisations in the emergency department of a civil and military hospital	12
Frequency roughness analysis in image processing and game design	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
Word embedding for mixed-emotions analysis	10
MaMiPot: a paradigm shift for the classification of imbalanced data	10
EST transformer: enhanced spatiotemporal representation learning for time series anomaly detection	10
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
GNNRec: gated graph neural network for session-based social recommendation model	10
Audio super-resolution via vision transformer	10
BMDF-SR: bidirectional multi-sequence decoupling fusion method for sequential recommendation	10
Design of fully homomorphic multikey encryption scheme for secured cloud access and storage environment	9
Graph attention networks with adaptive neighbor graph aggregation for cold-start recommendation	9
A data-driven situation-aware framework for predictive analysis in smart environments	9
Improving graph collaborative filtering with view explorer for social recommendation	9
A transformer-based framework for predicting geomagnetic indices with uncertainty quantification	9
Stock price nowcasting and forecasting with deep learning	9
Two-stage sequential recommendation for side information fusion and long-term and short-term preferences modeling	9
Tiramisù: making sense of multi-faceted process information through time and space	8
Identifying influential nodes using semi local isolating centrality based on average shortest path	8
Approaches and algorithms to mitigate cold start problems in recommender systems: a systematic literature review	8
Performing arithmetic using a neural network trained on images of digit permutation pairs	8
An overview of actionable knowledge discovery techniques	7
Model-based decision support for knowledge-intensive processes	7
Classroom teaching of tourism management using multimedia big data analysis	7
Semantic-enhanced reasoning question answering over temporal knowledge graphs	7
A contextual-bandit approach for multifaceted reciprocal recommendations in online dating	7
Evidence-driven appraisal of students’ careers using process mining: a case study	6
Dynamic memory-enhanced federated learning framework with trusted computing for multi-source data analysis	6
Editorial: recent advances in process analytics	6

Expanding Normalized Systems from textual domain descriptions using TEMOS	6
Adaptive multi-round retrieval with knowledge distillation for sequential recommendation	6
An overview of machine learning techniques in constraint solving	6
FPGA supported rough set reduct calculation for big datasets	6
A systematic review of question answering systems for non-factoid questions	6
Enhancing E-learning effectiveness: a process mining approach for short-term tutorials	6
T-shaped expert mining: a novel approach based on skill translation and focal loss	6
Temporal knowledge completion enhanced self-supervised entity alignment	6
Finding a needle in a haystack: insights on feature selection for classification tasks	6
Improved machine learning technique for feature reduction and its application in spam email detection	6
Modeling and querying temporal RDF knowledge graphs with relational databases	6
Heuristic approaches for non-exhaustive pattern-based change detection in dynamic networks	6
Tell me what you Like: introducing natural language preference elicitation strategies in a virtual assistant for the movie domain	6
Interpretable segmentation of medical free-text records based on word embeddings	6