Information Processing & Management

Papers
(The median citation count of Information Processing & Management is 9. 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 2021-12-01 to 2025-12-01.)
ArticleCitations
DMGAE: An interpretable representation learning method for directed scale-free networks based on autoencoder and masking419
Editorial Board307
Popularity prediction for marketer-generated content: A text-guided attention neural network for multi-modal feature fusion218
CDFRS: A scalable sampling approach for efficient big data analysis172
Why logit distillation works: A novel knowledge distillation technique by deriving target augmentation and logits distortion165
Breaking data barriers in medical diagnosis with MSDGD framework based on Gaussian Diffusion Generation158
A novel approach to assess and improve syntactic interoperability in data integration131
A bias–variance evaluation framework for information retrieval systems128
Enhancing relevant concepts extraction for ontology learning using domain time relevance116
MCCI: A multi-channel collaborative interaction framework for multimodal knowledge graph completion113
Low-resource court judgment summarization for common law systems106
Research on the construction of event corpus with document-level causal relations for social security104
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 model102
Edge contrastive learning for link prediction98
Practical perspectives of consumer fairness in recommendation96
Understanding the information journeys of late-life migrants to inform support design: Information seeking driven by a major life transition95
Open Government Data (OGD) sites and the sharing of country-specific real-time pandemic information: An investigation into COVID-19 datasets available on worldwide OGDs94
Enhancing video rumor detection through multimodal deep feature fusion with time-sync comments89
How can consumers without credit history benefit from the use of information processing and machine learning tools by financial institutions?87
Fair and Explainable Depression Detection in Social Media87
A hierarchical convolutional model for biomedical relation extraction86
UniDE: A multi-level and low-resource framework for automatic dialogue evaluation via LLM-based data augmentation and multitask learning86
Exploiting context-awareness and multi-criteria decision making to improve items recommendation using a tripartite graph-based model85
Multi-View disentanglement-based bidirectional generalized distillation for diagnosis of liver cancers with ultrasound images84
Domain- and category-style clustering for general fake news detection via contrastive learning83
Hierarchical chat-based strategies with MLLMs for Spatio-temporal action detection81
Temporal Neighbor Sequence-based Interpretable Spammer Groups Detection on E-commerce platform80
Informed Patch Enhanced HyperGCN for skeleton-based action recognition79
Global and local hypergraph learning method with semantic enhancement for POI recommendation74
Information matching model and multi-angle tracking algorithm for loan loss-linking customers based on the family mobile social-contact big data network73
Interest Evolution-driven Gated Neighborhood aggregation representation for dynamic recommendation in e-commerce73
Combining association-rule-guided sequence augmentation with listwise contrastive learning for session-based recommendation72
Beyond expression: Comprehensive visualization of knowledge triplet facts72
CAWAL: A novel unified analytics framework for enterprise web applications and multi-server environments71
NiNet: A new invertible neural network architecture more suitable for deep image hiding71
Quantifying the structural and temporal characteristics of negative links in signed citation networks69
Deep learning based conference program organization system from determining articles in session to scheduling69
Editorial Board68
Image-based 3D model retrieval via disentangled feature learning and enhanced semantic alignment67
Artificial cheerleading in IEO: Marketing campaign or pump and dump scheme66
PecidRL: Petition expectation correction and identification based on deep reinforcement learning66
Is my stance the same as your stance? A cross validation study of stance detection datasets65
Weakly supervised deep metric learning on discrete metric spaces for privacy-preserved clustering65
Multi-kernel graph fusion for spectral clustering63
Utilizing cognitive signals generated during human reading to enhance keyphrase extraction from microblogs63
Hierarchical graph fusion network and a new argumentative dataset for multiparty dialogue discourse parsing62
Guest editorial of the IPM special issue on information science in human-centered AI62
From words to gender: Quantitative analysis of body part descriptions within literature in Portuguese62
The memory cycle of time-series public opinion data: Validation based on deep learning prediction62
Perceptions of Edinburgh: Capturing neighbourhood characteristics by clustering geoparsed local news62
Contrastive Graph Convolutional Networks with adaptive augmentation for text classification62
An Intelligent Cognitive-Inspired Computing with Big Data Analytics Framework for Sentiment Analysis and Classification61
Improving legal judgment prediction through reinforced criminal element extraction60
Replicable semi-supervised approaches to state-of-the-art stance detection of tweets60
Improving Abusive Language Detection with online interaction network58
To academia or industry: Mobility and impact on ACM fellows’ scientific careers58
Topic Audiolization: A Model for Rumor Detection Inspired by Lie Detection Technology58
Arabic machine reading comprehension on the Holy Qur’an using CL-AraBERT57
Reviewing 25 years of continuous sign language recognition research: Advances, challenges, and prospects55
Quantification and prediction of engagement: Applied to personalized course recommendation to reduce dropout in MOOCs54
Neural membrane computing models with migrating rules for density peak clustering54
Retriever-generator-verification: A novel approach to enhancing factual coherence in open-domain question answering53
Adaptive orthogonal semi-supervised feature selection with reliable label matrix learning53
Predicting the Hate: A GSTM Model based on COVID-19 Hate Speech Datasets52
Noise-reducing graph neural network with intent-target co-action for session-based recommendation52
SelfCP: Compressing over-limit prompt via the frozen large language model itself52
XGBoost with Q-learning for complex data processing in business logistics management52
Unveiling the secrets of online consumer choice: A deep learning algorithmic approach to evaluate and predict purchase decisions through EEG responses51
Emotion-cognitive reasoning integrated BERT for sentiment analysis of online public opinions on emergencies51
An effective method for figures and tables detection in academic literature51
An empirical study of Multimodal Entity-Based Sentiment Analysis with ChatGPT: Improving in-context learning via entity-aware contrastive learning51
Content still matters. A machine learning model for predicting news longevity from textual and context features50
Screening through a broad pool: Towards better diversity for lexically constrained text generation50
Editorial Board50
Predicting users’ future interests on social networks: A reference framework49
Information asymmetry evaluation in hotel E-commerce market: Dynamics and pricing strategy under pandemic48
Cross-modal image–text search via Efficient Discrete Class Alignment Hashing48
Joint modeling of causal phrases-sentiments-aspects using Hierarchical Pitman Yor Process48
Development of an intelligent information system for financial analysis depend on supervised machine learning algorithms48
KBHN: A knowledge-aware bi-hypergraph network based on visual-knowledge features fusion for teaching image annotation48
LVTIA: A new method for keyphrase extraction from scientific video lectures48
Estimating financial information asymmetry in real estate transactions in China - An application of two-tier frontier model47
BCE4ZSR: Bi-encoder empowered by teacher cross-encoder for zero-shot cold-start news recommendation47
Measuring and mitigating language model biases in abusive language detection47
A prompt model with combined semantic refinement for aspect sentiment analysis47
Data information processing of traffic digital twins in smart cities using edge intelligent federation learning46
An emotion-based personalized music recommendation framework for emotion improvement46
SST: Self-training with self-adaptive thresholding for semi-supervised learning46
ARL: An adaptive reinforcement learning framework for complex question answering over knowledge base46
ISE-Hate: A benchmark corpus for inter-faith, sectarian, and ethnic hatred detection on social media in Urdu45
The use of convolutional neural networks for abnormal behavior recognition in crowd scenes45
CLAVE: A deep learning model for source code authorship verification with contrastive learning and transformer encoders45
BCMF: A bidirectional cross-modal fusion model for fake news detection45
Knowledge graph representation learning with relation-guided aggregation and interaction44
Exploiting multiple influence pattern of event organizer for event recommendation44
The social-technological ways to develop digital entrepreneurship: Targeting value creation and value capture44
Mitigating the negative impact of over-association for conversational query production44
Detecting racial stereotypes: An Italian social media corpus where psychology meets NLP44
Hierarchical multi-label text classification of tourism resources using a label-aware dual graph attention network43
Dual emotion based fake news detection: A deep attention-weight update approach43
Temporal-spatial hierarchical contrastive learning for misinformation detection: A public-behavior perspective43
SecureCPS: Cognitive inspired framework for detection of cyber attacks in cyber–physical systems43
Not all fake news is semantically similar: Contextual semantic representation learning for multimodal fake news detection43
A comprehensive study on fidelity metrics for XAI43
Editorial Board42
EvolveDetector: Towards an evolving fake news detector for emerging events with continual knowledge accumulation and transfer42
Quality-Controllable automatic construction method of Chinese knowledge graph for medical decision-making applications41
The domination effect of the intelligent environment in the catastrophe mechanism of investor behavior41
Non-autoregressive personalized bundle generation41
Personal information organization literacy in the academic context: Scale development, performance assessment, and influence exploration41
Latent go-explore with area as unit41
Knowledge enhanced representation learning network for drug recommendation40
Multi-attribute adaptive aggregation transformer for vehicle re-identification40
Enhancing inter-sentence attention for Semantic Textual Similarity40
Triple Sparse Denoising Discriminantive Least Squares Regression for image classification40
Unveiling the dynamics of crisis events: Sentiment and emotion analysis via multi-task learning with attention mechanism and subject-based intent prediction39
Learning context-aware region similarity with effective spatial normalization over Point-of-Interest data39
GAFM: A Knowledge Graph Completion Method Based on Graph Attention Faded Mechanism39
Deconstructing cultural appropriation in online communities: A multilayer network analysis approach39
Exploring news intent and its application: A theory-driven approach39
Appeal to the head and heart: The persuasive effects of medical crowdfunding charitable appeals on willingness to donate39
Time-series classification with SAFE: Simple and fast segmented word embedding-based neural time series classifier38
On the feasibility of Federated Learning towards on-demand client deployment at the edge38
Technostress causes cognitive overload in high-stress people: Eye tracking analysis in a virtual kiosk test38
Mining multigranularity decision rules of concept cognition for knowledge graphs based on three-way decision38
Fully Transformer-Equipped Architecture for end-to-end Referring Video Object Segmentation37
Multi-label feature selection based on multi-granulation separability37
Cyberbullying detection for low-resource languages and dialects: Review of the state of the art37
Temporal group-aware graph diffusion networks for dynamic link prediction37
PROMISE: A pre-trained knowledge-infused multimodal representation learning framework for medication recommendation37
EGC: A novel event-oriented graph clustering framework for social media text37
Unveiling citation peaks: How innovation faces delayed recognition in science37
A Local context enhanced Consistency-aware Mamba-based Sequential Recommendation model37
Time-aware multi-behavior graph network model for complex group behavior prediction37
CAF-ODNN: Complementary attention fusion with optimized deep neural network for multimodal fake news detection36
Learning optimal inter-class margin adaptively for few-shot class-incremental learning via neural collapse-based meta-learning36
A fine-grained and multi-context-aware learning path recommendation model over knowledge graphs for online learning communities36
Entity-centric multi-domain transformer for improving generalization in fake news detection36
CKEMI: Concept knowledge enhanced metaphor identification framework36
Dual-process theory-driven transparent approach for seniors to accept health misinformation detection results36
DSMM: A dual stance-aware multi-task model for rumour veracity on social networks35
Improving the performance and explainability of knowledge tracing via Markov blanket35
Active tag recommendation for interactive entity search: Interaction effectiveness and retrieval performance35
Looking deep in the eyes: Investigating interpretation methods for neural models on reading tasks using human eye-movement behaviour35
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, M35
Multi-task multi-modality SVM for early COVID-19 Diagnosis using chest CT data35
Summarizing source code with Heterogeneous Syntax Graph and dual position35
How do scientific papers from different journal tiers gain attention on social media?35
Combining travel behavior in metro passenger flow prediction: A smart explainable Stacking-Catboost algorithm35
IDC-CDR: Cross-domain Recommendation based on Intent Disentanglement and Contrast Learning35
Editorial Board35
Learning robotic motion with mirror therapy framework for hemiparesis rehabilitation34
Multimodal disentanglement implicit distillation for speech emotion recognition34
Enhancing media literacy: The effectiveness of (Human) annotations and bias visualizations on bias detection34
Financial literacy and psychological disaster preparedness: applicability of approach based on fuzzy functional dependencies34
FFTree: A flexible tree to handle multiple fairness criteria34
ESGNet: A multimodal network model incorporating entity semantic graphs for information extraction from Chinese resumes34
Do more heads imply better performance? An empirical study of team thought leaders' impact on scientific team performance34
Map retrieval intention recognition based on relevance feedback and geographic semantic guidance: For better understanding user retrieval demands33
Towards human-like perception: Learning structural causal model in heterogeneous graph33
IS professionals’ information security behaviors in Chinese IT organizations for information security protection33
A novel emerging topic detection method: A knowledge ecology perspective33
Design and Implementation of an Efficient Electronic Bank Management Information System Based Data Warehouse and Data Mining Processing33
The effect of business intelligence, organizational learning and innovation on the financial performance of innovative companies located in Science Park33
Utilizing data driven methods to identify gender bias in LinkedIn profiles33
Algorithmic Drift: A simulation framework to study the effects of recommender systems on user preferences32
PaperEval: A universal, quantitative, and explainable paper evaluation method powered by a multi-agent system32
Global information-aware argument mining based on a top-down multi-turn QA model32
Privacy-preserving cancelable multi-biometrics for identity information management32
Digital capability requirements and improvement strategies: Organizational socialization of AI teammates32
A new deep graph attention approach with influence and preference relationship reconstruction for rate prediction recommendation32
A Multi-Criteria Decision Support Model for Restaurant Selection Based on Users' Demand Level: The Case of Dianping.com32
3SHNet: Boosting image–sentence retrieval via visual semantic–spatial self-highlighting32
Recognizing misogynous memes: Biased models and tricky archetypes31
Lexicon annotation in sentiment analysis for dialectal Arabic: Systematic review of current trends and future directions31
Efficient processing of k-hop reachability queries on temporal bi31
A plug-and-play adapter for consistency identification in task-oriented dialogue systems31
Hierarchical information matters! Improving AMR parsing with multi-granularity representation interactions31
Psycholinguistic knowledge-guided graph network for personality detection of silent users31
Towards automatic conceptual metaphor detection for psychological tasks30
Enhancing public campaign messages: The power of causal arguments30
Editorial Board30
Event is more valuable than you think: Improving the Similar Legal Case Retrieval via event knowledge29
ListMAP: Listwise learning to rank as maximum a posteriori estimation29
Improving unsupervised keyphrase extraction by modeling hierarchical multi-granularity features29
Entity neighborhood awareness and hierarchical message aggregation for inductive relation prediction29
Bibliometric feature identification and analysis of retracted papers in biomedicine: An interpretable machine learning perspective29
Revealing the technology development of natural language processing: A Scientific entity-centric perspective29
A machine learning approach to primacy-peak-recency effect-based satisfaction prediction29
Enhancing long-form question answering via reflection with question decomposition29
Enhancing image sentiment analysis: A user-centered approach through user emotions and visual features29
EPIC: An epidemiological investigation of COVID-19 dataset for Chinese named entity recognition29
An improved algorithm for practical byzantine fault tolerance to large-scale consortium chain29
Gender and sex bias in COVID-19 epidemiological data through the lens of causality29
The moderating effects of 5W-based elements on rumor refutation strategies on social media during public health emergency: A case study of COVID-19 pandemic29
Predicting Chinese tourists’ B&B preferences through a method of online reviews causality analytic29
Dynamic graph construction via motif detection for stock prediction29
A Social-aware Gaussian Pre-trained model for effective cold-start recommendation29
Keyword decisions in sponsored search advertising: A literature review and research agenda28
Let long-term interests talk: An disentangled learning model for recommendation based on short-term interests generation28
Historical facts learning from Long-Short Terms with Language Model for Temporal Knowledge Graph Reasoning28
Real-world model for bitcoin price prediction28
An end-to-end deep generative approach with meta-learning optimization for zero-shot object classification28
Extracting key insights from earnings call transcript via information-theoretic contrastive learning28
Cognitive Biases in Fact-Checking and Their Countermeasures: A Review28
A novel dropout mechanism with label extension schema toward text emotion classification28
Fair Top-k Ranking with multiple protected groups28
Research on learner “emotion-behavior-ability” characteristics based on MOOC online education user profiles28
What users’ musical preference on Twitter reveals about psychological disorders27
Crowdsourced auction-based framework for time-critical and budget-constrained last mile delivery27
The shifting role of information processing and management in interdiscipline development: From a collection of tools to a crutch?27
Multi-granularity attribute similarity model for user alignment across social platforms under pre-aligned data sparsity27
Center-retained fine-tuning for conversational question ranking through unsupervised center identification27
Market Competition as a Moderator of the Effect of Social Signals on Viewership in Video-Sharing Platforms27
Examining the importance of spatial aspects of travel routes: A multi-method approach27
User satisfaction with Arabic COVID-19 apps: Sentiment analysis of users’ reviews using machine learning techniques27
A multimodal time-series method for gifting prediction in live streaming platforms27
From statistical methods to deep learning, automatic keyphrase prediction: A survey27
The attention inequality of scientists: A core-periphery structure perspective27
Business intelligence ability to enhance organizational performance and performance evaluation capabilities by improving data mining systems for competitive advantage27
Legal Judgment Prediction via graph boosting with constraints27
Data augmentation of credit default swap transactions based on a sequence GAN27
FGVIrony: A Chinese Dataset of Fine-grained Verbal Irony27
Retrieval Contrastive Learning for Aspect-Level Sentiment Classification26
Evaluating the faithfulness of saliency maps in explaining deep learning models using realistic perturbations26
Ceasing hate with MoH: Hate Speech Detection in Hindi–English code-switched language26
Unifying knowledge iterative dissemination and relational reconstruction network for image–text matching26
PRoT-FL: A privacy-preserving and robust Training Manager for Federated Learning26
Knowledge graph validation by integrating LLMs and human-in-the-loop26
Examining communication network behaviors, structure and dynamics in an organizational hierarchy: A social network analysis approach26
Multi-feature fused collaborative attention network for sequential recommendation with semantic-enriched contrastive learning26
A new data mining method for time series in visual analysis of regional economy26
Transfer language selection for zero-shot cross-lingual abusive language detection26
Leveraging enhanced BERT models for detecting suicidal ideation in Thai social media content amidst COVID-1926
Predicting the fundraising performance of environmental crowdfunding projects: An interpretable machine learning approach26
A T5-based interpretable reading comprehension model with more accurate evidence training26
EIOA: A computing expectation-based influence evaluation method in weighted hypergraphs26
Effects of members’ response styles in an online depression community based on text mining and empirical analysis26
An efficient loss function and deep learning approach for ranking stock returns in the absence of prior knowledge25
EACE: A document-level event argument extraction model with argument constraint enhancement25
Time–frequency recurrent transformer with diversity constraint for dense video captioning25
Financial risk assessment of imbalanced data based on nonlinear causal time-series network25
Integrating GIN-based multimodal feature transformation and multi-feature combination voting for irony-aware cyberbullying detection25
A contracted container-based code component collaboration model with reusable but invisible right management25
Towards travel recommendation interpretability: Disentangling tourist decision-making process via knowledge graph25
DualFLAT: Dual Flat-Lattice Transformer for domain-specific Chinese named entity recognition25
A co-attention based multi-modal fusion network for review helpfulness prediction25
Information resources estimation for accurate distribution-based concept drift detection25
Discovering the influences of the patent innovations on the stock market24
Few-shot entity linking of food names24
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