OOIR: Observatory of International Research

Papers

(The H4-Index of Information Processing & Management is 61. 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 2021-05-01 to 2025-05-01.)

Article	Citations
Open Government Data (OGD) sites and the sharing of country-specific real-time pandemic information: An investigation into COVID-19 datasets available on worldwide OGDs	298
Why logit distillation works: A novel knowledge distillation technique by deriving target augmentation and logits distortion	199
DMGAE: An interpretable representation learning method for directed scale-free networks based on autoencoder and masking	184
Editorial Board	164
UniDE: A multi-level and low-resource framework for automatic dialogue evaluation via LLM-based data augmentation and multitask learning	158
Enhancing relevant concepts extraction for ontology learning using domain time relevance	154
Enhancing video rumor detection through multimodal deep feature fusion with time-sync comments	150
How can consumers without credit history benefit from the use of information processing and machine learning tools by financial institutions?	144
A bias–variance evaluation framework for information retrieval systems	142
Research on the construction of event corpus with document-level causal relations for social security	130
A novel approach to assess and improve syntactic interoperability in data integration	128
Exploiting context-awareness and multi-criteria decision making to improve items recommendation using a tripartite graph-based model	123
CDFRS: A scalable sampling approach for efficient big data analysis	115
Global and local hypergraph learning method with semantic enhancement for POI recommendation	112
Informed Patch Enhanced HyperGCN for skeleton-based action recognition	108
Multi-View disentanglement-based bidirectional generalized distillation for diagnosis of liver cancers with ultrasound images	105
Practical perspectives of consumer fairness in recommendation	105
Popularity prediction for marketer-generated content: A text-guided attention neural network for multi-modal feature fusion	104
Edge contrastive learning for link prediction	98
Domain- and category-style clustering for general fake news detection via contrastive learning	97
A hierarchical convolutional model for biomedical relation extraction	95
Low-resource court judgment summarization for common law systems	94
Corroborating the effect of positive technology readiness on the intention to use the virtual reality sports game “Screen Golf”: Focusing on the technology readiness and acceptance model	93
Understanding the information journeys of late-life migrants to inform support design: Information seeking driven by a major life transition	89
Persuasion strategies of misinformation-containing posts in the social media	88

Editorial Board	85
Fair and Explainable Depression Detection in Social Media	85
Is diversity optimization always suitable? Toward a better understanding of diversity within recommendation approaches	85
Arabic machine reading comprehension on the Holy Qur’an using CL-AraBERT	84
Modeling label-wise syntax for fine-grained sentiment analysis of reviews via memory-based neural model	79
XGBoost with Q-learning for complex data processing in business logistics management	79
Improving legal judgment prediction through reinforced criminal element extraction	79
Improving Abusive Language Detection with online interaction network	78
Contrastive Graph Convolutional Networks with adaptive augmentation for text classification	75
PecidRL: Petition expectation correction and identification based on deep reinforcement learning	74
CAWAL: A novel unified analytics framework for enterprise web applications and multi-server environments	73
Artificial cheerleading in IEO: Marketing campaign or pump and dump scheme	73
Hierarchical graph fusion network and a new argumentative dataset for multiparty dialogue discourse parsing	72
Perceptions of Edinburgh: Capturing neighbourhood characteristics by clustering geoparsed local news	71
To academia or industry: Mobility and impact on ACM fellows’ scientific careers	71
From words to gender: Quantitative analysis of body part descriptions within literature in Portuguese	71
Assessing the behavior and performance of a supervised term-weighting technique for topic-based retrieval	70
Image-based 3D model retrieval via disentangled feature learning and enhanced semantic alignment	70
SelfCP: Compressing over-limit prompt via the frozen large language model itself	69
On the efficacy of old features for the detection of new bots	69
Is my stance the same as your stance? A cross validation study of stance detection datasets	69
Noise-reducing graph neural network with intent-target co-action for session-based recommendation	69
Reviewing 25 years of continuous sign language recognition research: Advances, challenges, and prospects	69
Information matching model and multi-angle tracking algorithm for loan loss-linking customers based on the family mobile social-contact big data network	68
Weakly supervised deep metric learning on discrete metric spaces for privacy-preserved clustering	66
Replicable semi-supervised approaches to state-of-the-art stance detection of tweets	66
Beyond expression: Comprehensive visualization of knowledge triplet facts	65
Deep learning based conference program organization system from determining articles in session to scheduling	64
Combining association-rule-guided sequence augmentation with listwise contrastive learning for session-based recommendation	64
Neural membrane computing models with migrating rules for density peak clustering	64
Predicting the Hate: A GSTM Model based on COVID-19 Hate Speech Datasets	63
Topic Audiolization: A Model for Rumor Detection Inspired by Lie Detection Technology	62
An empirical study of Multimodal Entity-Based Sentiment Analysis with ChatGPT: Improving in-context learning via entity-aware contrastive learning	61
Quantifying the structural and temporal characteristics of negative links in signed citation networks	61
Quantification and prediction of engagement: Applied to personalized course recommendation to reduce dropout in MOOCs	61
Interest Evolution-driven Gated Neighborhood aggregation representation for dynamic recommendation in e-commerce	61