Information Processing & Management

Papers
(The H4-Index of Information Processing & Management is 56. 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.)
ArticleCitations
Why logit distillation works: A novel knowledge distillation technique by deriving target augmentation and logits distortion347
DMGAE: An interpretable representation learning method for directed scale-free networks based on autoencoder and masking233
Editorial Board204
UniDE: A multi-level and low-resource framework for automatic dialogue evaluation via LLM-based data augmentation and multitask learning189
A bias–variance evaluation framework for information retrieval systems183
Understanding the information journeys of late-life migrants to inform support design: Information seeking driven by a major life transition155
Exploiting context-awareness and multi-criteria decision making to improve items recommendation using a tripartite graph-based model150
Research on the construction of event corpus with document-level causal relations for social security137
Popularity prediction for marketer-generated content: A text-guided attention neural network for multi-modal feature fusion135
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 model129
How can consumers without credit history benefit from the use of information processing and machine learning tools by financial institutions?120
Low-resource court judgment summarization for common law systems116
Informed Patch Enhanced HyperGCN for skeleton-based action recognition114
Hierarchical chat-based strategies with MLLMs for Spatio-temporal action detection110
MCCI: A multi-channel collaborative interaction framework for multimodal knowledge graph completion108
Enhancing video rumor detection through multimodal deep feature fusion with time-sync comments105
Persuasion strategies of misinformation-containing posts in the social media102
A novel approach to assess and improve syntactic interoperability in data integration93
Multi-View disentanglement-based bidirectional generalized distillation for diagnosis of liver cancers with ultrasound images92
Enhancing relevant concepts extraction for ontology learning using domain time relevance91
Open Government Data (OGD) sites and the sharing of country-specific real-time pandemic information: An investigation into COVID-19 datasets available on worldwide OGDs86
Breaking data barriers in medical diagnosis with MSDGD framework based on Gaussian Diffusion Generation85
CDFRS: A scalable sampling approach for efficient big data analysis85
Practical perspectives of consumer fairness in recommendation84
Domain- and category-style clustering for general fake news detection via contrastive learning82
A hierarchical convolutional model for biomedical relation extraction81
Global and local hypergraph learning method with semantic enhancement for POI recommendation79
Edge contrastive learning for link prediction75
Fair and Explainable Depression Detection in Social Media75
From words to gender: Quantitative analysis of body part descriptions within literature in Portuguese74
Editorial Board74
Hierarchical graph fusion network and a new argumentative dataset for multiparty dialogue discourse parsing74
To academia or industry: Mobility and impact on ACM fellows’ scientific careers72
The memory cycle of time-series public opinion data: Validation based on deep learning prediction72
Image-based 3D model retrieval via disentangled feature learning and enhanced semantic alignment72
Multi-kernel graph fusion for spectral clustering70
SelfCP: Compressing over-limit prompt via the frozen large language model itself70
Interest Evolution-driven Gated Neighborhood aggregation representation for dynamic recommendation in e-commerce70
Information matching model and multi-angle tracking algorithm for loan loss-linking customers based on the family mobile social-contact big data network70
Artificial cheerleading in IEO: Marketing campaign or pump and dump scheme69
Deep learning based conference program organization system from determining articles in session to scheduling68
An Intelligent Cognitive-Inspired Computing with Big Data Analytics Framework for Sentiment Analysis and Classification67
Improving Abusive Language Detection with online interaction network66
Quantification and prediction of engagement: Applied to personalized course recommendation to reduce dropout in MOOCs64
Modeling label-wise syntax for fine-grained sentiment analysis of reviews via memory-based neural model63
Combining association-rule-guided sequence augmentation with listwise contrastive learning for session-based recommendation62
Beyond expression: Comprehensive visualization of knowledge triplet facts62
Replicable semi-supervised approaches to state-of-the-art stance detection of tweets61
Retriever-generator-verification: A novel approach to enhancing factual coherence in open-domain question answering61
Quantifying the structural and temporal characteristics of negative links in signed citation networks60
On the efficacy of old features for the detection of new bots59
Neural membrane computing models with migrating rules for density peak clustering58
Is diversity optimization always suitable? Toward a better understanding of diversity within recommendation approaches58
Weakly supervised deep metric learning on discrete metric spaces for privacy-preserved clustering57
Is my stance the same as your stance? A cross validation study of stance detection datasets56
Improving legal judgment prediction through reinforced criminal element extraction56
XGBoost with Q-learning for complex data processing in business logistics management56
CAWAL: A novel unified analytics framework for enterprise web applications and multi-server environments56
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