Information Processing & Management

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 2022-08-01 to 2026-08-01.)
ArticleCitations
Editorial Board524
MIMOSA: A unified multi-view multi-order contrastive learning framework for bundle recommendation218
Open Government Data (OGD) sites and the sharing of country-specific real-time pandemic information: An investigation into COVID-19 datasets available on worldwide OGDs160
Source-free time series domain adaptation with class-aware temporal imputation147
A multimodal framework for patent survival and commercialization prediction142
CDFRS: A scalable sampling approach for efficient big data analysis131
Temporal Neighbor Sequence-based Interpretable Spammer Groups Detection on E-commerce platform123
Research on the construction of event corpus with document-level causal relations for social security119
CooSBR: Rethinking neighborhood integration for session-based recommendation119
Preserving overlapped information via parallel one-hop and multi-hop neighbor encoding for knowledge graph entity typing115
Enhancing relevant concepts extraction for ontology learning using domain time relevance112
X-SSL: Self-supervised X-ray threat detection with zero-shot and multi-modal learning106
Edge contrastive learning for link prediction100
Pattern dynamics analysis of higher-order network epidemic-like information propagation model100
DMGAE: An interpretable representation learning method for directed scale-free networks based on autoencoder and masking97
Multi-View disentanglement-based bidirectional generalized distillation for diagnosis of liver cancers with ultrasound images96
Practical perspectives of consumer fairness in recommendation95
Why logit distillation works: A novel knowledge distillation technique by deriving target augmentation and logits distortion94
Fair and Explainable Depression Detection in Social Media92
A novel approach to assess and improve syntactic interoperability in data integration91
Domain- and category-style clustering for general fake news detection via contrastive learning90
UniDE: A multi-level and low-resource framework for automatic dialogue evaluation via LLM-based data augmentation and multitask learning89
PMDS: progressive multi-document summarization with iterative summary integration88
Enhancing fake news video detection with self-driven question–answer from LMMs88
Low-resource court judgment summarization for common law systems84
Enhancing video rumor detection through multimodal deep feature fusion with time-sync comments84
Hierarchical chat-based strategies with MLLMs for Spatio-temporal action detection83
How can consumers without credit history benefit from the use of information processing and machine learning tools by financial institutions?82
A hierarchical convolutional model for biomedical relation extraction82
Global and local hypergraph learning method with semantic enhancement for POI recommendation81
Understanding the information journeys of late-life migrants to inform support design: Information seeking driven by a major life transition80
Breaking data barriers in medical diagnosis with MSDGD framework based on Gaussian Diffusion Generation80
MCCI: A multi-channel collaborative interaction framework for multimodal knowledge graph completion78
XGBoost with Q-learning for complex data processing in business logistics management77
Improving Abusive Language Detection with online interaction network77
The memory cycle of time-series public opinion data: Validation based on deep learning prediction76
Editorial Board76
Beyond expression: Comprehensive visualization of knowledge triplet facts75
Guest editorial of the IPM special issue on information science in human-centered AI75
Weakly supervised deep metric learning on discrete metric spaces for privacy-preserved clustering74
MultiXpert: Dual-stream synergistic enhancement with cross-modal alignment for zero-shot chest x-ray diagnosis73
MPRG:A unified framework for knowledge graph reasoning via pattern-aware relation graph72
Deep learning based conference program organization system from determining articles in session to scheduling71
Replicable semi-supervised approaches to state-of-the-art stance detection of tweets71
From words to gender: Quantitative analysis of body part descriptions within literature in Portuguese71
Perceptions of Edinburgh: Capturing neighbourhood characteristics by clustering geoparsed local news70
Multi-kernel graph fusion for spectral clustering68
PecidRL: Petition expectation correction and identification based on deep reinforcement learning67
A disentangled multimodal neural topic model65
Hierarchical graph fusion network and a new argumentative dataset for multiparty dialogue discourse parsing65
Editorial Board63
To academia or industry: Mobility and impact on ACM fellows’ scientific careers62
Artificial cheerleading in IEO: Marketing campaign or pump and dump scheme61
CAWAL: A novel unified analytics framework for enterprise web applications and multi-server environments60
HU-RNSP: Efficiently mining high-utility repeated negative sequential patterns60
SelfCP: Compressing over-limit prompt via the frozen large language model itself59
Jobpocalypse or techno-utopia? geospatially decoding public concerns through the social media noise in AI’s disruption era59
NiNet: A new invertible neural network architecture more suitable for deep image hiding59
Retriever-generator-verification: A novel approach to enhancing factual coherence in open-domain question answering58
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