OOIR: Observatory of International Research

Papers

(The H4-Index of Information Processing & Management is 58. 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
Why logit distillation works: A novel knowledge distillation technique by deriving target augmentation and logits distortion	314
DMGAE: An interpretable representation learning method for directed scale-free networks based on autoencoder and masking	201
Editorial Board	198
UniDE: A multi-level and low-resource framework for automatic dialogue evaluation via LLM-based data augmentation and multitask learning	167
Enhancing video rumor detection through multimodal deep feature fusion with time-sync comments	166
How can consumers without credit history benefit from the use of information processing and machine learning tools by financial institutions?	160
A bias–variance evaluation framework for information retrieval systems	149
Research on the construction of event corpus with document-level causal relations for social security	147
A novel approach to assess and improve syntactic interoperability in data integration	136
Exploiting context-awareness and multi-criteria decision making to improve items recommendation using a tripartite graph-based model	131
Low-resource court judgment summarization for common law systems	126
Multi-View disentanglement-based bidirectional generalized distillation for diagnosis of liver cancers with ultrasound images	118
CDFRS: A scalable sampling approach for efficient big data analysis	118
Enhancing relevant concepts extraction for ontology learning using domain time relevance	113
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	111
Understanding the information journeys of late-life migrants to inform support design: Information seeking driven by a major life transition	106
Domain- and category-style clustering for general fake news detection via contrastive learning	105
Practical perspectives of consumer fairness in recommendation	99
Informed Patch Enhanced HyperGCN for skeleton-based action recognition	97
Global and local hypergraph learning method with semantic enhancement for POI recommendation	97
Popularity prediction for marketer-generated content: A text-guided attention neural network for multi-modal feature fusion	92
Edge contrastive learning for link prediction	92
Persuasion strategies of misinformation-containing posts in the social media	89
Fair and Explainable Depression Detection in Social Media	88
A hierarchical convolutional model for biomedical relation extraction	86

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	81
Editorial Board	81
Modeling label-wise syntax for fine-grained sentiment analysis of reviews via memory-based neural model	80
Hierarchical graph fusion network and a new argumentative dataset for multiparty dialogue discourse parsing	79
From words to gender: Quantitative analysis of body part descriptions within literature in Portuguese	77
To academia or industry: Mobility and impact on ACM fellows’ scientific careers	76
Image-based 3D model retrieval via disentangled feature learning and enhanced semantic alignment	75
SelfCP: Compressing over-limit prompt via the frozen large language model itself	75
Reviewing 25 years of continuous sign language recognition research: Advances, challenges, and prospects	75
Information matching model and multi-angle tracking algorithm for loan loss-linking customers based on the family mobile social-contact big data network	74
SC-Com: Spotting Collusive Community in Opinion Spam Detection	74
PecidRL: Petition expectation correction and identification based on deep reinforcement learning	72
Interest Evolution-driven Gated Neighborhood aggregation representation for dynamic recommendation in e-commerce	72
An empirical study of Multimodal Entity-Based Sentiment Analysis with ChatGPT: Improving in-context learning via entity-aware contrastive learning	71
Replicable semi-supervised approaches to state-of-the-art stance detection of tweets	70
Adaptive orthogonal semi-supervised feature selection with reliable label matrix learning	69
Beyond expression: Comprehensive visualization of knowledge triplet facts	67
Is my stance the same as your stance? A cross validation study of stance detection datasets	66
An Intelligent Cognitive-Inspired Computing with Big Data Analytics Framework for Sentiment Analysis and Classification	66
Combining association-rule-guided sequence augmentation with listwise contrastive learning for session-based recommendation	66
Quantifying the structural and temporal characteristics of negative links in signed citation networks	66
On the efficacy of old features for the detection of new bots	65
Utilizing cognitive signals generated during human reading to enhance keyphrase extraction from microblogs	65
Predicting the Hate: A GSTM Model based on COVID-19 Hate Speech Datasets	64
Is diversity optimization always suitable? Toward a better understanding of diversity within recommendation approaches	63
CAWAL: A novel unified analytics framework for enterprise web applications and multi-server environments	62
Neural membrane computing models with migrating rules for density peak clustering	62
Multi-kernel graph fusion for spectral clustering	62
Quantification and prediction of engagement: Applied to personalized course recommendation to reduce dropout in MOOCs	61
Contrastive Graph Convolutional Networks with adaptive augmentation for text classification	61
Noise-reducing graph neural network with intent-target co-action for session-based recommendation	59
Improving legal judgment prediction through reinforced criminal element extraction	59
Improving Abusive Language Detection with online interaction network	58
Perceptions of Edinburgh: Capturing neighbourhood characteristics by clustering geoparsed local news	58