Information Processing & Management

Papers
(The median citation count of Information Processing & Management is 8. 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 2022-06-01 to 2026-06-01.)
ArticleCitations
Editorial Board502
MIMOSA: A unified multi-view multi-order contrastive learning framework for bundle recommendation200
Enhancing fake news video detection with self-driven question–answer from LMMs154
Open Government Data (OGD) sites and the sharing of country-specific real-time pandemic information: An investigation into COVID-19 datasets available on worldwide OGDs137
Low-resource court judgment summarization for common law systems133
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 model124
A multimodal framework for patent survival and commercialization prediction117
PMDS: progressive multi-document summarization with iterative summary integration115
A novel approach to assess and improve syntactic interoperability in data integration111
Enhancing relevant concepts extraction for ontology learning using domain time relevance108
Enhancing video rumor detection through multimodal deep feature fusion with time-sync comments100
X-SSL: Self-supervised X-ray threat detection with zero-shot and multi-modal learning97
Understanding the information journeys of late-life migrants to inform support design: Information seeking driven by a major life transition94
Pattern dynamics analysis of higher-order network epidemic-like information propagation model92
UniDE: A multi-level and low-resource framework for automatic dialogue evaluation via LLM-based data augmentation and multitask learning89
Practical perspectives of consumer fairness in recommendation89
CDFRS: A scalable sampling approach for efficient big data analysis87
Informed Patch Enhanced HyperGCN for skeleton-based action recognition87
A hierarchical convolutional model for biomedical relation extraction86
Popularity prediction for marketer-generated content: A text-guided attention neural network for multi-modal feature fusion85
Temporal Neighbor Sequence-based Interpretable Spammer Groups Detection on E-commerce platform85
Research on the construction of event corpus with document-level causal relations for social security83
CooSBR: Rethinking neighborhood integration for session-based recommendation82
Hierarchical chat-based strategies with MLLMs for Spatio-temporal action detection80
Why logit distillation works: A novel knowledge distillation technique by deriving target augmentation and logits distortion80
Preserving overlapped information via parallel one-hop and multi-hop neighbor encoding for knowledge graph entity typing80
MCCI: A multi-channel collaborative interaction framework for multimodal knowledge graph completion79
How can consumers without credit history benefit from the use of information processing and machine learning tools by financial institutions?78
Fair and Explainable Depression Detection in Social Media78
Global and local hypergraph learning method with semantic enhancement for POI recommendation77
Edge contrastive learning for link prediction77
Domain- and category-style clustering for general fake news detection via contrastive learning77
Breaking data barriers in medical diagnosis with MSDGD framework based on Gaussian Diffusion Generation75
Multi-View disentanglement-based bidirectional generalized distillation for diagnosis of liver cancers with ultrasound images75
DMGAE: An interpretable representation learning method for directed scale-free networks based on autoencoder and masking74
Improving Abusive Language Detection with online interaction network73
Adaptive orthogonal semi-supervised feature selection with reliable label matrix learning72
XGBoost with Q-learning for complex data processing in business logistics management71
Contrastive Graph Convolutional Networks with adaptive augmentation for text classification69
The memory cycle of time-series public opinion data: Validation based on deep learning prediction69
Image-based 3D model retrieval via disentangled feature learning and enhanced semantic alignment69
Guest editorial of the IPM special issue on information science in human-centered AI68
Beyond expression: Comprehensive visualization of knowledge triplet facts68
Is my stance the same as your stance? A cross validation study of stance detection datasets67
Weakly supervised deep metric learning on discrete metric spaces for privacy-preserved clustering66
MultiXpert: Dual-stream synergistic enhancement with cross-modal alignment for zero-shot chest x-ray diagnosis65
Utilizing cognitive signals generated during human reading to enhance keyphrase extraction from microblogs64
Jobpocalypse or techno-utopia? geospatially decoding public concerns through the social media noise in AI’s disruption era64
MPRG:A unified framework for knowledge graph reasoning via pattern-aware relation graph64
Quantification and prediction of engagement: Applied to personalized course recommendation to reduce dropout in MOOCs62
Deep learning based conference program organization system from determining articles in session to scheduling61
Quantifying the structural and temporal characteristics of negative links in signed citation networks61
To academia or industry: Mobility and impact on ACM fellows’ scientific careers61
From words to gender: Quantitative analysis of body part descriptions within literature in Portuguese60
Perceptions of Edinburgh: Capturing neighbourhood characteristics by clustering geoparsed local news57
Replicable semi-supervised approaches to state-of-the-art stance detection of tweets57
Topic Audiolization: A Model for Rumor Detection Inspired by Lie Detection Technology56
Multi-kernel graph fusion for spectral clustering55
Reviewing 25 years of continuous sign language recognition research: Advances, challenges, and prospects55
Emotion-cognitive reasoning integrated BERT for sentiment analysis of online public opinions on emergencies55
Retriever-generator-verification: A novel approach to enhancing factual coherence in open-domain question answering54
Combining association-rule-guided sequence augmentation with listwise contrastive learning for session-based recommendation54
Arabic machine reading comprehension on the Holy Qur’an using CL-AraBERT53
From patents to partners: Recommending organizations’ technological partners via representation learning from temporal heterogeneous graphs53
HU-RNSP: Efficiently mining high-utility repeated negative sequential patterns52
Predicting the Hate: A GSTM Model based on COVID-19 Hate Speech Datasets52
PecidRL: Petition expectation correction and identification based on deep reinforcement learning52
Enhancing large language model for fake news video detection via cross-modal retrieval51
Hierarchical graph fusion network and a new argumentative dataset for multiparty dialogue discourse parsing51
Artificial cheerleading in IEO: Marketing campaign or pump and dump scheme50
Editorial Board50
SelfCP: Compressing over-limit prompt via the frozen large language model itself50
CAWAL: A novel unified analytics framework for enterprise web applications and multi-server environments50
Neural membrane computing models with migrating rules for density peak clustering49
Interest Evolution-driven Gated Neighborhood aggregation representation for dynamic recommendation in e-commerce49
Noise-reducing graph neural network with intent-target co-action for session-based recommendation49
An empirical study of Multimodal Entity-Based Sentiment Analysis with ChatGPT: Improving in-context learning via entity-aware contrastive learning48
NiNet: A new invertible neural network architecture more suitable for deep image hiding48
BCMF: A bidirectional cross-modal fusion model for fake news detection47
The social-technological ways to develop digital entrepreneurship: Targeting value creation and value capture47
Measuring and mitigating language model biases in abusive language detection47
BCE4ZSR: Bi-encoder empowered by teacher cross-encoder for zero-shot cold-start news recommendation47
Dual emotion based fake news detection: A deep attention-weight update approach46
EvolveDetector: Towards an evolving fake news detector for emerging events with continual knowledge accumulation and transfer46
Information asymmetry evaluation in hotel E-commerce market: Dynamics and pricing strategy under pandemic46
Editorial Board45
Data information processing of traffic digital twins in smart cities using edge intelligent federation learning45
Exploiting multiple influence pattern of event organizer for event recommendation45
TASeqRec: Learning users’ topical interests for sequential recommendation45
A prompt model with combined semantic refinement for aspect sentiment analysis44
Predicting users’ future interests on social networks: A reference framework44
Content still matters. A machine learning model for predicting news longevity from textual and context features43
KBHN: A knowledge-aware bi-hypergraph network based on visual-knowledge features fusion for teaching image annotation43
Development of an intelligent information system for financial analysis depend on supervised machine learning algorithms43
An effective method for figures and tables detection in academic literature43
Mitigating the negative impact of over-association for conversational query production43
Joint modeling of causal phrases-sentiments-aspects using Hierarchical Pitman Yor Process42
From personalized learning to explainable prediction: A data-driven framework for patient no-shows42
Unveiling the secrets of online consumer choice: A deep learning algorithmic approach to evaluate and predict purchase decisions through EEG responses42
Detecting racial stereotypes: An Italian social media corpus where psychology meets NLP42
Efficient querying k-trusses on temporal graphs42
Screening through a broad pool: Towards better diversity for lexically constrained text generation42
Temporal-spatial hierarchical contrastive learning for misinformation detection: A public-behavior perspective41
Measuring and forecasting global digital economy efficiency: An integrated approach using the super-efficiency sequential SBM model and machine learning algorithms41
CLAVE: A deep learning model for source code authorship verification with contrastive learning and transformer encoders41
Counterfactual samples constructing and training for commonsense statements estimation41
ISE-Hate: A benchmark corpus for inter-faith, sectarian, and ethnic hatred detection on social media in Urdu41
SST: Self-training with self-adaptive thresholding for semi-supervised learning40
SEHLP: A summary-enhanced large language model for financial report sentiment analysis via hybrid LoRA and dynamic prefix tuning40
The use of convolutional neural networks for abnormal behavior recognition in crowd scenes40
Not all fake news is semantically similar: Contextual semantic representation learning for multimodal fake news detection40
Assessing the potential of LLMs as crowdworkers for contextual information generation40
Knowledge graph representation learning with relation-guided aggregation and interaction40
Bridging ERP localization barriers: How knowledge sharing drives integration between Chinese firms and global clientele39
Retrieval-enhanced, Adaptively Collaborative, and Temporal-aware user behavior comprehension for LLM-based sequential recommendation39
Exploring news intent and its application: A theory-driven approach39
Misinformation detection on online social networks using pretrained language models39
Hierarchical multi-label text classification of tourism resources using a label-aware dual graph attention network39
Editorial Board39
A comprehensive study on fidelity metrics for XAI39
Editorial Board39
An emotion-based personalized music recommendation framework for emotion improvement39
Unveiling citation peaks: How innovation faces delayed recognition in science38
A Local context enhanced Consistency-aware Mamba-based Sequential Recommendation model38
Fraud E-mail detection using intelligent algorithms: Comparison of traditional approaches with deep learning techniques38
Deconstructing cultural appropriation in online communities: A multilayer network analysis approach38
Latent go-explore with area as unit38
Time-aware multi-behavior graph network model for complex group behavior prediction38
Temporal group-aware graph diffusion networks for dynamic link prediction37
Triple Sparse Denoising Discriminantive Least Squares Regression for image classification37
Personal information organization literacy in the academic context: Scale development, performance assessment, and influence exploration37
Mining multigranularity decision rules of concept cognition for knowledge graphs based on three-way decision37
Fully Transformer-Equipped Architecture for end-to-end Referring Video Object Segmentation37
Learning optimal inter-class margin adaptively for few-shot class-incremental learning via neural collapse-based meta-learning37
IGen: Redefining long-term event prediction with iterative generation and dynamic balancing36
A synergistic approach to decoupling and knowledge distillation for long- and short-term knowledge states in knowledge tracing36
Non-autoregressive personalized bundle generation36
Enhancing inter-sentence attention for Semantic Textual Similarity36
Learning context-aware region similarity with effective spatial normalization over Point-of-Interest data36
Multi-view debiasing representation learning for recommender systems35
Performance unfairness of large language models in cross-language fact-checking35
A fine-grained and multi-context-aware learning path recommendation model over knowledge graphs for online learning communities35
Analyzing cross-platform academic networking behavior: Methods and insights on institutional affiliations and user clustering35
EGC: A novel event-oriented graph clustering framework for social media text35
Unveiling the dynamics of crisis events: Sentiment and emotion analysis via multi-task learning with attention mechanism and subject-based intent prediction35
An ensemble method using neighborhood granular combination entropy for software defect prediction35
Technostress causes cognitive overload in high-stress people: Eye tracking analysis in a virtual kiosk test35
Cyberbullying detection for low-resource languages and dialects: Review of the state of the art35
CAF-ODNN: Complementary attention fusion with optimized deep neural network for multimodal fake news detection34
Time-series classification with SAFE: Simple and fast segmented word embedding-based neural time series classifier34
Entity-centric multi-domain transformer for improving generalization in fake news detection34
The domination effect of the intelligent environment in the catastrophe mechanism of investor behavior34
GAFM: A Knowledge Graph Completion Method Based on Graph Attention Faded Mechanism34
Dual-process theory-driven transparent approach for seniors to accept health misinformation detection results34
A text-based emotional pattern discrepancy aware model for enhanced generalization in depression detection34
On the feasibility of Federated Learning towards on-demand client deployment at the edge33
Knowledge enhanced representation learning network for drug recommendation33
Multi-label feature selection based on multi-granulation separability33
Corrigendum to “CLAVE: A Deep Learning Model for Source Code Authorship Verification with Contrastive Learning and Transformer Encoders” [Information Processing & Management, Volume 62, Issue 3, M33
PROMISE: A pre-trained knowledge-infused multimodal representation learning framework for medication recommendation33
Quality-Controllable automatic construction method of Chinese knowledge graph for medical decision-making applications33
Design and Implementation of an Efficient Electronic Bank Management Information System Based Data Warehouse and Data Mining Processing32
ESGNet: A multimodal network model incorporating entity semantic graphs for information extraction from Chinese resumes32
Global information-aware argument mining based on a top-down multi-turn QA model32
Summarizing source code with Heterogeneous Syntax Graph and dual position32
Learning robotic motion with mirror therapy framework for hemiparesis rehabilitation31
Looking deep in the eyes: Investigating interpretation methods for neural models on reading tasks using human eye-movement behaviour31
Multimodal disentanglement implicit distillation for speech emotion recognition31
A multi-criteria sorting method for preference maps based on Nash-Stackelberg game31
Editorial Board31
EASeg: Environmental adaptation for weakly-supervised autonomous driving semantic segmentation31
Utilizing data driven methods to identify gender bias in LinkedIn profiles31
FFTree: A flexible tree to handle multiple fairness criteria30
A Multi-Criteria Decision Support Model for Restaurant Selection Based on Users' Demand Level: The Case of Dianping.com30
3SHNet: Boosting image–sentence retrieval via visual semantic–spatial self-highlighting30
Heterogeneous data-driven resolution generation for software systems via large language models30
Enhancing media literacy: The effectiveness of (Human) annotations and bias visualizations on bias detection30
Improving the performance and explainability of knowledge tracing via Markov blanket30
Map retrieval intention recognition based on relevance feedback and geographic semantic guidance: For better understanding user retrieval demands30
How do scientific papers from different journal tiers gain attention on social media?30
Meaningless is better: Hashing bias-inducing words in LLM prompts improves performance in logical reasoning and statistical learning30
Digital capability requirements and improvement strategies: Organizational socialization of AI teammates29
PaperEval: A universal, quantitative, and explainable paper evaluation method powered by a multi-agent system29
Algorithmic Drift: A simulation framework to study the effects of recommender systems on user preferences29
IDC-CDR: Cross-domain Recommendation based on Intent Disentanglement and Contrast Learning29
Efficient processing of k-hop reachability queries on temporal bi29
DSMM: A dual stance-aware multi-task model for rumour veracity on social networks29
CKEMI: Concept knowledge enhanced metaphor identification framework29
A guard against ambiguous sentiment for multimodal aspect-level sentiment classification29
Towards human-like perception: Learning structural causal model in heterogeneous graph29
A novel dropout mechanism with label extension schema toward text emotion classification29
A new deep graph attention approach with influence and preference relationship reconstruction for rate prediction recommendation29
Privacy-preserving cancelable multi-biometrics for identity information management29
Combining travel behavior in metro passenger flow prediction: A smart explainable Stacking-Catboost algorithm29
Lexicon annotation in sentiment analysis for dialectal Arabic: Systematic review of current trends and future directions29
Psycholinguistic knowledge-guided graph network for personality detection of silent users29
Do more heads imply better performance? An empirical study of team thought leaders' impact on scientific team performance29
An information processing framework for education: Supporting automatic question generation with NLP to minimize human intervention28
Class-Missing Semi-supervised document key information extraction via synergistic refinement estimation28
Eliminate-Then-Select: A human-centric reasoning framework for educational question answering with LLMs28
ListMAP: Listwise learning to rank as maximum a posteriori estimation28
Keyword decisions in sponsored search advertising: A literature review and research agenda28
Predicting Chinese tourists’ B&B preferences through a method of online reviews causality analytic28
A Social-aware Gaussian Pre-trained model for effective cold-start recommendation28
A machine learning approach to primacy-peak-recency effect-based satisfaction prediction28
Extracting key insights from earnings call transcript via information-theoretic contrastive learning28
Digital orientation, knowledge acquisition, and digitization in non-digital native firms28
Towards automatic conceptual metaphor detection for psychological tasks27
An end-to-end deep generative approach with meta-learning optimization for zero-shot object classification27
Beyond efficient fine-tuning: Efficient hybrid fine-tuning of CLIP models guided by explainable ViT attention27
Hierarchical information matters! Improving AMR parsing with multi-granularity representation interactions27
Artificial intelligence applications and innovation ambidexterity: The “inverted U-shaped” regulating effect of risk-taking27
Event is more valuable than you think: Improving the Similar Legal Case Retrieval via event knowledge27
Recognizing misogynous memes: Biased models and tricky archetypes27
A plug-and-play adapter for consistency identification in task-oriented dialogue systems27
Uncertainty-aware facial attribute recognition through joint learning of shared and label-specific attention27
Editorial Board27
Improving unsupervised keyphrase extraction by modeling hierarchical multi-granularity features26
Gender and sex bias in COVID-19 epidemiological data through the lens of causality26
Enhancing long-form question answering via reflection with question decomposition26
Enhancing public campaign messages: The power of causal arguments26
Real-world model for bitcoin price prediction26
From tracking to thinking: Facilitating post-exercise reflection by a large language model-mediated journaling system26
The moderating effects of 5W-based elements on rumor refutation strategies on social media during public health emergency: A case study of COVID-19 pandemic26
Enhancing image sentiment analysis: A user-centered approach through user emotions and visual features26
Entity neighborhood awareness and hierarchical message aggregation for inductive relation prediction26
Adaptive weighted temporal prototype network for multimodal emotion recognition26
Research on learner “emotion-behavior-ability” characteristics based on MOOC online education user profiles26
EPIC: An epidemiological investigation of COVID-19 dataset for Chinese named entity recognition26
A quasi-experimental analysis of capabilities and limitations of generative AI in academic content evaluation in social sciences26
A multimodal time-series method for gifting prediction in live streaming platforms26
Multi-granularity attribute similarity model for user alignment across social platforms under pre-aligned data sparsity26
Historical facts learning from Long-Short Terms with Language Model for Temporal Knowledge Graph Reasoning26
Dynamic graph construction via motif detection for stock prediction26
Revealing the technology development of natural language processing: A Scientific entity-centric perspective25
Cognitive Biases in Fact-Checking and Their Countermeasures: A Review25
From statistical methods to deep learning, automatic keyphrase prediction: A survey25
Examining the importance of spatial aspects of travel routes: A multi-method approach25
Let long-term interests talk: An disentangled learning model for recommendation based on short-term interests generation25
The attention inequality of scientists: A core-periphery structure perspective25
Ophiuchus: Privacy-preserving training service with user-controlled pseudo-noise information generation25
Effects of members’ response styles in an online depression community based on text mining and empirical analysis25
Bibliometric feature identification and analysis of retracted papers in biomedicine: An interpretable machine learning perspective25
Crowdsourced auction-based framework for time-critical and budget-constrained last mile delivery25
PQMT: Position-aware Network and Qualifier-Interactive Attention for multi-task hyper-relation extraction25
Hierarchical prediction of irregular multivariate time series from a multi-granularity perspective24
Financial risk assessment of imbalanced data based on nonlinear causal time-series network24
Retrieval Contrastive Learning for Aspect-Level Sentiment Classification24
Evaluating the faithfulness of saliency maps in explaining deep learning models using realistic perturbations24
Examining communication network behaviors, structure and dynamics in an organizational hierarchy: A social network analysis approach24
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