Information Processing & Management

Papers
(The TQCC of Information Processing & Management is 20. 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
CooSBR: Rethinking neighborhood integration for session-based recommendation119
Research on the construction of event corpus with document-level causal relations for social security119
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
Enhancing video rumor detection through multimodal deep feature fusion with time-sync comments84
Low-resource court judgment summarization for common law systems84
Hierarchical chat-based strategies with MLLMs for Spatio-temporal action detection83
A hierarchical convolutional model for biomedical relation extraction82
How can consumers without credit history benefit from the use of information processing and machine learning tools by financial institutions?82
Global and local hypergraph learning method with semantic enhancement for POI recommendation81
Breaking data barriers in medical diagnosis with MSDGD framework based on Gaussian Diffusion Generation80
Understanding the information journeys of late-life migrants to inform support design: Information seeking driven by a major life transition80
MCCI: A multi-channel collaborative interaction framework for multimodal knowledge graph completion78
Improving Abusive Language Detection with online interaction network77
XGBoost with Q-learning for complex data processing in business logistics management77
The memory cycle of time-series public opinion data: Validation based on deep learning prediction76
Editorial Board76
Guest editorial of the IPM special issue on information science in human-centered AI75
Beyond expression: Comprehensive visualization of knowledge triplet facts75
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
From words to gender: Quantitative analysis of body part descriptions within literature in Portuguese71
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
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
Hierarchical graph fusion network and a new argumentative dataset for multiparty dialogue discourse parsing65
A disentangled multimodal neural topic model65
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
HU-RNSP: Efficiently mining high-utility repeated negative sequential patterns60
CAWAL: A novel unified analytics framework for enterprise web applications and multi-server environments60
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
SelfCP: Compressing over-limit prompt via the frozen large language model itself59
Retriever-generator-verification: A novel approach to enhancing factual coherence in open-domain question answering58
Emotion-cognitive reasoning integrated BERT for sentiment analysis of online public opinions on emergencies57
Topic Audiolization: A Model for Rumor Detection Inspired by Lie Detection Technology57
Arabic machine reading comprehension on the Holy Qur’an using CL-AraBERT56
From patents to partners: Recommending organizations’ technological partners via representation learning from temporal heterogeneous graphs55
Image-based 3D model retrieval via disentangled feature learning and enhanced semantic alignment55
An empirical study of Multimodal Entity-Based Sentiment Analysis with ChatGPT: Improving in-context learning via entity-aware contrastive learning54
Adaptive orthogonal semi-supervised feature selection with reliable label matrix learning54
Utilizing cognitive signals generated during human reading to enhance keyphrase extraction from microblogs54
Quantification and prediction of engagement: Applied to personalized course recommendation to reduce dropout in MOOCs54
Enhancing large language model for fake news video detection via cross-modal retrieval53
Neural membrane computing models with migrating rules for density peak clustering53
Combining association-rule-guided sequence augmentation with listwise contrastive learning for session-based recommendation52
Is my stance the same as your stance? A cross validation study of stance detection datasets52
Reviewing 25 years of continuous sign language recognition research: Advances, challenges, and prospects52
The use of convolutional neural networks for abnormal behavior recognition in crowd scenes51
Noise-reducing graph neural network with intent-target co-action for session-based recommendation51
ISE-Hate: A benchmark corpus for inter-faith, sectarian, and ethnic hatred detection on social media in Urdu50
Assessing the potential of LLMs as crowdworkers for contextual information generation49
Dual emotion based fake news detection: A deep attention-weight update approach49
The social-technological ways to develop digital entrepreneurship: Targeting value creation and value capture49
Editorial Board48
BCMF: A bidirectional cross-modal fusion model for fake news detection48
Exploiting multiple influence pattern of event organizer for event recommendation48
Predicting users’ future interests on social networks: A reference framework47
Content still matters. A machine learning model for predicting news longevity from textual and context features47
A prompt model with combined semantic refinement for aspect sentiment analysis47
Development of an intelligent information system for financial analysis depend on supervised machine learning algorithms47
TASeqRec: Learning users’ topical interests for sequential recommendation47
Efficient querying k-trusses on temporal graphs46
KBHN: A knowledge-aware bi-hypergraph network based on visual-knowledge features fusion for teaching image annotation46
Mitigating the negative impact of over-association for conversational query production46
Joint modeling of causal phrases-sentiments-aspects using Hierarchical Pitman Yor Process45
From personalized learning to explainable prediction: A data-driven framework for patient no-shows44
Detecting racial stereotypes: An Italian social media corpus where psychology meets NLP44
Screening through a broad pool: Towards better diversity for lexically constrained text generation44
Counterfactual samples constructing and training for commonsense statements estimation44
Bridging ERP localization barriers: How knowledge sharing drives integration between Chinese firms and global clientele43
Measuring and mitigating language model biases in abusive language detection43
Unveiling the secrets of online consumer choice: A deep learning algorithmic approach to evaluate and predict purchase decisions through EEG responses43
Temporal-spatial hierarchical contrastive learning for misinformation detection: A public-behavior perspective43
SEHLP: A summary-enhanced large language model for financial report sentiment analysis via hybrid LoRA and dynamic prefix tuning43
Knowledge graph representation learning with relation-guided aggregation and interaction43
EvolveDetector: Towards an evolving fake news detector for emerging events with continual knowledge accumulation and transfer43
InsQABench: Benchmarking Chinese insurance domain question answering with large language models43
An effective method for figures and tables detection in academic literature43
Data information processing of traffic digital twins in smart cities using edge intelligent federation learning43
Bridging the gap in cross-domain graph anomaly detection: Enhanced source utilization and label accuracy43
BCE4ZSR: Bi-encoder empowered by teacher cross-encoder for zero-shot cold-start news recommendation43
Coal-gas risk fusion identification and warning based on deep explainable expert learning networks: A case study in mining information systems43
CLAVE: A deep learning model for source code authorship verification with contrastive learning and transformer encoders42
Retrieval-enhanced, Adaptively Collaborative, and Temporal-aware user behavior comprehension for LLM-based sequential recommendation42
SST: Self-training with self-adaptive thresholding for semi-supervised learning42
Hierarchical multi-label text classification of tourism resources using a label-aware dual graph attention network41
Measuring and forecasting global digital economy efficiency: An integrated approach using the super-efficiency sequential SBM model and machine learning algorithms41
Editorial Board41
Information asymmetry evaluation in hotel E-commerce market: Dynamics and pricing strategy under pandemic41
An emotion-based personalized music recommendation framework for emotion improvement41
A comprehensive study on fidelity metrics for XAI41
Not all fake news is semantically similar: Contextual semantic representation learning for multimodal fake news detection41
Misinformation detection on online social networks using pretrained language models41
Latent go-explore with area as unit40
Editorial Board40
A Local context enhanced Consistency-aware Mamba-based Sequential Recommendation model40
Exploring news intent and its application: A theory-driven approach40
The domination effect of the intelligent environment in the catastrophe mechanism of investor behavior39
Learning context-aware region similarity with effective spatial normalization over Point-of-Interest data39
Personal information organization literacy in the academic context: Scale development, performance assessment, and influence exploration39
Mining multigranularity decision rules of concept cognition for knowledge graphs based on three-way decision39
On the feasibility of Federated Learning towards on-demand client deployment at the edge38
An ensemble method using neighborhood granular combination entropy for software defect prediction38
IGen: Redefining long-term event prediction with iterative generation and dynamic balancing38
Quality-Controllable automatic construction method of Chinese knowledge graph for medical decision-making applications38
CLER: A benchmark for Chinese litigation evidence reasoning38
Multi-view debiasing representation learning for recommender systems38
Fraud E-mail detection using intelligent algorithms: Comparison of traditional approaches with deep learning techniques38
FedDPKD: Federated learning with dual-phase knowledge distillation for label distribution skew38
Fully Transformer-Equipped Architecture for end-to-end Referring Video Object Segmentation38
Analyzing cross-platform academic networking behavior: Methods and insights on institutional affiliations and user clustering38
Multi-label feature selection based on multi-granulation separability37
Non-autoregressive personalized bundle generation37
Unveiling the dynamics of crisis events: Sentiment and emotion analysis via multi-task learning with attention mechanism and subject-based intent prediction37
Temporal group-aware graph diffusion networks for dynamic link prediction37
Cyberbullying detection for low-resource languages and dialects: Review of the state of the art37
Deconstructing cultural appropriation in online communities: A multilayer network analysis approach36
Entity-centric multi-domain transformer for improving generalization in fake news detection36
Knowledge enhanced representation learning network for drug recommendation36
Time-series classification with SAFE: Simple and fast segmented word embedding-based neural time series classifier36
A synergistic approach to decoupling and knowledge distillation for long- and short-term knowledge states in knowledge tracing36
Triple Sparse Denoising Discriminantive Least Squares Regression for image classification36
A text-based emotional pattern discrepancy aware model for enhanced generalization in depression detection35
GAFM: A Knowledge Graph Completion Method Based on Graph Attention Faded Mechanism35
Time-aware multi-behavior graph network model for complex group behavior prediction35
EGC: A novel event-oriented graph clustering framework for social media text34
CAF-ODNN: Complementary attention fusion with optimized deep neural network for multimodal fake news detection34
Enhancing inter-sentence attention for Semantic Textual Similarity34
Performance unfairness of large language models in cross-language fact-checking34
Technostress causes cognitive overload in high-stress people: Eye tracking analysis in a virtual kiosk test34
Learning optimal inter-class margin adaptively for few-shot class-incremental learning via neural collapse-based meta-learning34
PROMISE: A pre-trained knowledge-infused multimodal representation learning framework for medication recommendation33
Towards human-like perception: Learning structural causal model in heterogeneous graph33
A fine-grained and multi-context-aware learning path recommendation model over knowledge graphs for online learning communities33
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
A multi-criteria sorting method for preference maps based on Nash-Stackelberg game33
Dual-process theory-driven transparent approach for seniors to accept health misinformation detection results33
A new deep graph attention approach with influence and preference relationship reconstruction for rate prediction recommendation33
IDC-CDR: Cross-domain Recommendation based on Intent Disentanglement and Contrast Learning33
Unveiling citation peaks: How innovation faces delayed recognition in science33
Map retrieval intention recognition based on relevance feedback and geographic semantic guidance: For better understanding user retrieval demands32
Lexicon annotation in sentiment analysis for dialectal Arabic: Systematic review of current trends and future directions32
DSMM: A dual stance-aware multi-task model for rumour veracity on social networks32
Learning robotic motion with mirror therapy framework for hemiparesis rehabilitation32
FFTree: A flexible tree to handle multiple fairness criteria32
CKEMI: Concept knowledge enhanced metaphor identification framework32
Heterogeneous data-driven resolution generation for software systems via large language models32
Meaningless is better: Hashing bias-inducing words in LLM prompts improves performance in logical reasoning and statistical learning32
Multimodal disentanglement implicit distillation for speech emotion recognition32
Global information-aware argument mining based on a top-down multi-turn QA model32
EASeg: Environmental adaptation for weakly-supervised autonomous driving semantic segmentation32
3SHNet: Boosting image–sentence retrieval via visual semantic–spatial self-highlighting31
How do scientific papers from different journal tiers gain attention on social media?31
Summarizing source code with Heterogeneous Syntax Graph and dual position31
Digital capability requirements and improvement strategies: Organizational socialization of AI teammates31
Enhancing media literacy: The effectiveness of (Human) annotations and bias visualizations on bias detection31
ESGNet: A multimodal network model incorporating entity semantic graphs for information extraction from Chinese resumes31
Looking deep in the eyes: Investigating interpretation methods for neural models on reading tasks using human eye-movement behaviour31
PaperEval: A universal, quantitative, and explainable paper evaluation method powered by a multi-agent system31
Do more heads imply better performance? An empirical study of team thought leaders' impact on scientific team performance30
Combining travel behavior in metro passenger flow prediction: A smart explainable Stacking-Catboost algorithm30
Psycholinguistic knowledge-guided graph network for personality detection of silent users30
Hierarchical information matters! Improving AMR parsing with multi-granularity representation interactions30
Privacy-preserving cancelable multi-biometrics for identity information management30
A Multi-Criteria Decision Support Model for Restaurant Selection Based on Users' Demand Level: The Case of Dianping.com30
Design and Implementation of an Efficient Electronic Bank Management Information System Based Data Warehouse and Data Mining Processing30
Efficient processing of k-hop reachability queries on temporal bi30
A plug-and-play adapter for consistency identification in task-oriented dialogue systems30
Utilizing data driven methods to identify gender bias in LinkedIn profiles30
A guard against ambiguous sentiment for multimodal aspect-level sentiment classification30
Algorithmic Drift: A simulation framework to study the effects of recommender systems on user preferences30
An information processing framework for education: Supporting automatic question generation with NLP to minimize human intervention30
Improving the performance and explainability of knowledge tracing via Markov blanket30
Enhancing long-form question answering via reflection with question decomposition29
EPIC: An epidemiological investigation of COVID-19 dataset for Chinese named entity recognition29
Editorial Board29
Event is more valuable than you think: Improving the Similar Legal Case Retrieval via event knowledge29
A novel dropout mechanism with label extension schema toward text emotion classification29
Entity neighborhood awareness and hierarchical message aggregation for inductive relation prediction29
Uncertainty-aware facial attribute recognition through joint learning of shared and label-specific attention29
Gender and sex bias in COVID-19 epidemiological data through the lens of causality29
Digital orientation, knowledge acquisition, and digitization in non-digital native firms29
Enhancing public campaign messages: The power of causal arguments29
An end-to-end deep generative approach with meta-learning optimization for zero-shot object classification29
Beyond efficient fine-tuning: Efficient hybrid fine-tuning of CLIP models guided by explainable ViT attention29
From tracking to thinking: Facilitating post-exercise reflection by a large language model-mediated journaling system29
Enhancing image sentiment analysis: A user-centered approach through user emotions and visual features28
Bibliometric feature identification and analysis of retracted papers in biomedicine: An interpretable machine learning perspective28
Multi-granularity attribute similarity model for user alignment across social platforms under pre-aligned data sparsity28
A Social-aware Gaussian Pre-trained model for effective cold-start recommendation28
A machine learning approach to primacy-peak-recency effect-based satisfaction prediction28
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
Recognizing misogynous memes: Biased models and tricky archetypes28
Towards automatic conceptual metaphor detection for psychological tasks28
Dynamic graph construction via motif detection for stock prediction28
Extracting key insights from earnings call transcript via information-theoretic contrastive learning28
Research on learner “emotion-behavior-ability” characteristics based on MOOC online education user profiles27
Keyword decisions in sponsored search advertising: A literature review and research agenda27
The moderating effects of 5W-based elements on rumor refutation strategies on social media during public health emergency: A case study of COVID-19 pandemic27
Revealing the technology development of natural language processing: A Scientific entity-centric perspective27
Artificial intelligence applications and innovation ambidexterity: The “inverted U-shaped” regulating effect of risk-taking27
Historical facts learning from Long-Short Terms with Language Model for Temporal Knowledge Graph Reasoning27
A multimodal time-series method for gifting prediction in live streaming platforms27
Adaptive weighted temporal prototype network for multimodal emotion recognition27
Let long-term interests talk: An disentangled learning model for recommendation based on short-term interests generation27
Improving unsupervised keyphrase extraction by modeling hierarchical multi-granularity features27
A quasi-experimental analysis of capabilities and limitations of generative AI in academic content evaluation in social sciences27
Cognitive Biases in Fact-Checking and Their Countermeasures: A Review27
Diffusion -driven group anomaly detection in spatiotemporal trajectories: Robust masked sequence imputation for enhanced pattern discovery27
Crowdsourced auction-based framework for time-critical and budget-constrained last mile delivery26
The shifting role of information processing and management in interdiscipline development: From a collection of tools to a crutch?26
Examining the importance of spatial aspects of travel routes: A multi-method approach26
SageJavon: A scalable AI tutor for personalized programming learning26
Ophiuchus: Privacy-preserving training service with user-controlled pseudo-noise information generation26
Multi-faceted consistency data augmentation for graph anomaly detection26
Predicting Chinese tourists’ B&B preferences through a method of online reviews causality analytic26
PQMT: Position-aware Network and Qualifier-Interactive Attention for multi-task hyper-relation extraction26
Center-retained fine-tuning for conversational question ranking through unsupervised center identification26
A co-attention based multi-modal fusion network for review helpfulness prediction25
Hierarchical prediction of irregular multivariate time series from a multi-granularity perspective25
What users’ musical preference on Twitter reveals about psychological disorders25
From statistical methods to deep learning, automatic keyphrase prediction: A survey25
EACE: A document-level event argument extraction model with argument constraint enhancement25
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