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 2021-09-01 to 2025-09-01.)
ArticleCitations
Why logit distillation works: A novel knowledge distillation technique by deriving target augmentation and logits distortion364
DMGAE: An interpretable representation learning method for directed scale-free networks based on autoencoder and masking247
Editorial Board206
Understanding the information journeys of late-life migrants to inform support design: Information seeking driven by a major life transition196
Informed Patch Enhanced HyperGCN for skeleton-based action recognition187
Hierarchical chat-based strategies with MLLMs for Spatio-temporal action detection157
MCCI: A multi-channel collaborative interaction framework for multimodal knowledge graph completion155
A novel approach to assess and improve syntactic interoperability in data integration144
Multi-View disentanglement-based bidirectional generalized distillation for diagnosis of liver cancers with ultrasound images142
Enhancing relevant concepts extraction for ontology learning using domain time relevance135
Open Government Data (OGD) sites and the sharing of country-specific real-time pandemic information: An investigation into COVID-19 datasets available on worldwide OGDs122
CDFRS: A scalable sampling approach for efficient big data analysis119
Breaking data barriers in medical diagnosis with MSDGD framework based on Gaussian Diffusion Generation117
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 model115
Research on the construction of event corpus with document-level causal relations for social security113
A hierarchical convolutional model for biomedical relation extraction108
Low-resource court judgment summarization for common law systems105
Practical perspectives of consumer fairness in recommendation96
Fair and Explainable Depression Detection in Social Media94
Exploiting context-awareness and multi-criteria decision making to improve items recommendation using a tripartite graph-based model91
Edge contrastive learning for link prediction90
Popularity prediction for marketer-generated content: A text-guided attention neural network for multi-modal feature fusion89
Domain- and category-style clustering for general fake news detection via contrastive learning85
Enhancing video rumor detection through multimodal deep feature fusion with time-sync comments85
A bias–variance evaluation framework for information retrieval systems85
How can consumers without credit history benefit from the use of information processing and machine learning tools by financial institutions?83
Persuasion strategies of misinformation-containing posts in the social media82
Global and local hypergraph learning method with semantic enhancement for POI recommendation79
UniDE: A multi-level and low-resource framework for automatic dialogue evaluation via LLM-based data augmentation and multitask learning78
Hierarchical graph fusion network and a new argumentative dataset for multiparty dialogue discourse parsing76
From words to gender: Quantitative analysis of body part descriptions within literature in Portuguese76
Editorial Board76
The memory cycle of time-series public opinion data: Validation based on deep learning prediction75
Information matching model and multi-angle tracking algorithm for loan loss-linking customers based on the family mobile social-contact big data network75
Image-based 3D model retrieval via disentangled feature learning and enhanced semantic alignment75
SelfCP: Compressing over-limit prompt via the frozen large language model itself75
Deep learning based conference program organization system from determining articles in session to scheduling73
Multi-kernel graph fusion for spectral clustering72
Artificial cheerleading in IEO: Marketing campaign or pump and dump scheme72
An Intelligent Cognitive-Inspired Computing with Big Data Analytics Framework for Sentiment Analysis and Classification70
Improving Abusive Language Detection with online interaction network70
Contrastive Graph Convolutional Networks with adaptive augmentation for text classification68
Replicable semi-supervised approaches to state-of-the-art stance detection of tweets66
On the efficacy of old features for the detection of new bots66
Modeling label-wise syntax for fine-grained sentiment analysis of reviews via memory-based neural model65
Reviewing 25 years of continuous sign language recognition research: Advances, challenges, and prospects64
Topic Audiolization: A Model for Rumor Detection Inspired by Lie Detection Technology64
Quantification and prediction of engagement: Applied to personalized course recommendation to reduce dropout in MOOCs64
Noise-reducing graph neural network with intent-target co-action for session-based recommendation64
XGBoost with Q-learning for complex data processing in business logistics management61
Improving legal judgment prediction through reinforced criminal element extraction61
Combining association-rule-guided sequence augmentation with listwise contrastive learning for session-based recommendation60
Beyond expression: Comprehensive visualization of knowledge triplet facts60
Adaptive orthogonal semi-supervised feature selection with reliable label matrix learning60
PecidRL: Petition expectation correction and identification based on deep reinforcement learning59
Perceptions of Edinburgh: Capturing neighbourhood characteristics by clustering geoparsed local news58
Quantifying the structural and temporal characteristics of negative links in signed citation networks58
Utilizing cognitive signals generated during human reading to enhance keyphrase extraction from microblogs58
An empirical study of Multimodal Entity-Based Sentiment Analysis with ChatGPT: Improving in-context learning via entity-aware contrastive learning58
Neural membrane computing models with migrating rules for density peak clustering57
Is diversity optimization always suitable? Toward a better understanding of diversity within recommendation approaches57
Weakly supervised deep metric learning on discrete metric spaces for privacy-preserved clustering57
CAWAL: A novel unified analytics framework for enterprise web applications and multi-server environments56
To academia or industry: Mobility and impact on ACM fellows’ scientific careers55
Arabic machine reading comprehension on the Holy Qur’an using CL-AraBERT55
Retriever-generator-verification: A novel approach to enhancing factual coherence in open-domain question answering55
Interest Evolution-driven Gated Neighborhood aggregation representation for dynamic recommendation in e-commerce55
Is my stance the same as your stance? A cross validation study of stance detection datasets55
Predicting the Hate: A GSTM Model based on COVID-19 Hate Speech Datasets54
LVTIA: A new method for keyphrase extraction from scientific video lectures53
Emotion-cognitive reasoning integrated BERT for sentiment analysis of online public opinions on emergencies53
SST: Self-training with self-adaptive thresholding for semi-supervised learning52
Information asymmetry evaluation in hotel E-commerce market: Dynamics and pricing strategy under pandemic52
Exploiting multiple influence pattern of event organizer for event recommendation51
Editorial Board51
CLAVE: A deep learning model for source code authorship verification with contrastive learning and transformer encoders51
Efficient querying k-trusses on temporal graphs51
Cross-modal image–text search via Efficient Discrete Class Alignment Hashing50
Screening through a broad pool: Towards better diversity for lexically constrained text generation50
Predicting users’ future interests on social networks: A reference framework50
A comprehensive study on fidelity metrics for XAI49
Development of an intelligent information system for financial analysis depend on supervised machine learning algorithms49
KBHN: A knowledge-aware bi-hypergraph network based on visual-knowledge features fusion for teaching image annotation49
BCE4ZSR: Bi-encoder empowered by teacher cross-encoder for zero-shot cold-start news recommendation49
Estimating financial information asymmetry in real estate transactions in China - An application of two-tier frontier model49
Dual emotion based fake news detection: A deep attention-weight update approach48
Adversarial network integrating dual attention and sparse representation for semi-supervised semantic segmentation47
How the type and valence of feedback information influence volunteers’ knowledge contribution in citizen science projects46
SecureCPS: Cognitive inspired framework for detection of cyber attacks in cyber–physical systems46
Investigating the impact of recommender systems on user-based and item-based popularity bias46
An emotion-based personalized music recommendation framework for emotion improvement46
Content still matters. A machine learning model for predicting news longevity from textual and context features45
BCMF: A bidirectional cross-modal fusion model for fake news detection44
The use of convolutional neural networks for abnormal behavior recognition in crowd scenes44
Not all fake news is semantically similar: Contextual semantic representation learning for multimodal fake news detection44
A prompt model with combined semantic refinement for aspect sentiment analysis44
ISE-Hate: A benchmark corpus for inter-faith, sectarian, and ethnic hatred detection on social media in Urdu44
An effective method for figures and tables detection in academic literature43
Mitigating the negative impact of over-association for conversational query production43
Measuring and mitigating language model biases in abusive language detection43
Detecting racial stereotypes: An Italian social media corpus where psychology meets NLP43
Unveiling the secrets of online consumer choice: A deep learning algorithmic approach to evaluate and predict purchase decisions through EEG responses43
Joint modeling of causal phrases-sentiments-aspects using Hierarchical Pitman Yor Process43
ARL: An adaptive reinforcement learning framework for complex question answering over knowledge base43
The social-technological ways to develop digital entrepreneurship: Targeting value creation and value capture42
Temporal group-aware graph diffusion networks for dynamic link prediction42
Data information processing of traffic digital twins in smart cities using edge intelligent federation learning42
Temporal-spatial hierarchical contrastive learning for misinformation detection: A public-behavior perspective42
EvolveDetector: Towards an evolving fake news detector for emerging events with continual knowledge accumulation and transfer42
Editorial Board42
Hierarchical multi-label text classification of tourism resources using a label-aware dual graph attention network42
Knowledge graph representation learning with relation-guided aggregation and interaction42
Non-autoregressive personalized bundle generation42
Multi-label feature selection based on multi-granulation separability41
Time-series classification with SAFE: Simple and fast segmented word embedding-based neural time series classifier41
The domination effect of the intelligent environment in the catastrophe mechanism of investor behavior41
Unveiling citation peaks: How innovation faces delayed recognition in science41
Latent go-explore with area as unit41
Personal information organization literacy in the academic context: Scale development, performance assessment, and influence exploration40
Fine-grained depression analysis based on Chinese micro-blog reviews40
A Local context enhanced Consistency-aware Mamba-based Sequential Recommendation model39
Privacy preserving in blockchain-based government data sharing: A Service-On-Chain (SOC) approach39
Deconstructing cultural appropriation in online communities: A multilayer network analysis approach39
Multi-attribute adaptive aggregation transformer for vehicle re-identification39
Triple Sparse Denoising Discriminantive Least Squares Regression for image classification39
Entity-centric multi-domain transformer for improving generalization in fake news detection39
Learning optimal inter-class margin adaptively for few-shot class-incremental learning via neural collapse-based meta-learning38
Knowledge enhanced representation learning network for drug recommendation38
Dual-process theory-driven transparent approach for seniors to accept health misinformation detection results38
GAFM: A Knowledge Graph Completion Method Based on Graph Attention Faded Mechanism38
Mining multigranularity decision rules of concept cognition for knowledge graphs based on three-way decision38
Quality-Controllable automatic construction method of Chinese knowledge graph for medical decision-making applications38
CAF-ODNN: Complementary attention fusion with optimized deep neural network for multimodal fake news detection37
Technostress causes cognitive overload in high-stress people: Eye tracking analysis in a virtual kiosk test37
PROMISE: A pre-trained knowledge-infused multimodal representation learning framework for medication recommendation37
Enhancing inter-sentence attention for Semantic Textual Similarity37
Fair multi-stakeholder news recommender system with hypergraph ranking37
Time-aware multi-behavior graph network model for complex group behavior prediction37
On the effects of aggregation strategies for different groups of users in venue recommendation37
Fully Transformer-Equipped Architecture for end-to-end Referring Video Object Segmentation37
A fine-grained and multi-context-aware learning path recommendation model over knowledge graphs for online learning communities37
Learning context-aware region similarity with effective spatial normalization over Point-of-Interest data36
Cyberbullying detection for low-resource languages and dialects: Review of the state of the art36
EGC: A novel event-oriented graph clustering framework for social media text36
Unveiling the dynamics of crisis events: Sentiment and emotion analysis via multi-task learning with attention mechanism and subject-based intent prediction36
Appeal to the head and heart: The persuasive effects of medical crowdfunding charitable appeals on willingness to donate36
On the feasibility of Federated Learning towards on-demand client deployment at the edge36
IS professionals’ information security behaviors in Chinese IT organizations for information security protection35
CKEMI: Concept knowledge enhanced metaphor identification framework35
Summarizing source code with Heterogeneous Syntax Graph and dual position35
The effect of business intelligence, organizational learning and innovation on the financial performance of innovative companies located in Science Park35
Editorial Board35
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
A machine learning-based sentiment analysis of online product reviews with a novel term weighting and feature selection approach35
A new deep graph attention approach with influence and preference relationship reconstruction for rate prediction recommendation35
Map retrieval intention recognition based on relevance feedback and geographic semantic guidance: For better understanding user retrieval demands34
Privacy-enhancing distributed protocol for data aggregation based on blockchain and homomorphic encryption34
IDC-CDR: Cross-domain Recommendation based on Intent Disentanglement and Contrast Learning34
Multi-task multi-modality SVM for early COVID-19 Diagnosis using chest CT data34
How do scientific papers from different journal tiers gain attention on social media?34
3SHNet: Boosting image–sentence retrieval via visual semantic–spatial self-highlighting34
Multimodal disentanglement implicit distillation for speech emotion recognition34
Algorithmic Drift: A simulation framework to study the effects of recommender systems on user preferences33
Utilizing data driven methods to identify gender bias in LinkedIn profiles33
Global information-aware argument mining based on a top-down multi-turn QA model33
DSMM: A dual stance-aware multi-task model for rumour veracity on social networks33
A Multi-Criteria Decision Support Model for Restaurant Selection Based on Users' Demand Level: The Case of Dianping.com33
Learning robotic motion with mirror therapy framework for hemiparesis rehabilitation33
FFTree: A flexible tree to handle multiple fairness criteria33
Privacy-preserving cancelable multi-biometrics for identity information management33
Improving the performance and explainability of knowledge tracing via Markov blanket33
Active tag recommendation for interactive entity search: Interaction effectiveness and retrieval performance33
Looking deep in the eyes: Investigating interpretation methods for neural models on reading tasks using human eye-movement behaviour32
Design and Implementation of an Efficient Electronic Bank Management Information System Based Data Warehouse and Data Mining Processing32
Financial literacy and psychological disaster preparedness: applicability of approach based on fuzzy functional dependencies32
Do more heads imply better performance? An empirical study of team thought leaders' impact on scientific team performance32
Towards human-like perception: Learning structural causal model in heterogeneous graph32
ESGNet: A multimodal network model incorporating entity semantic graphs for information extraction from Chinese resumes32
Lexicon annotation in sentiment analysis for dialectal Arabic: Systematic review of current trends and future directions32
A novel emerging topic detection method: A knowledge ecology perspective32
Efficient processing of k-hop reachability queries on temporal bi31
ListMAP: Listwise learning to rank as maximum a posteriori estimation31
An end-to-end deep generative approach with meta-learning optimization for zero-shot object classification31
Extracting key insights from earnings call transcript via information-theoretic contrastive learning31
Gender and sex bias in COVID-19 epidemiological data through the lens of causality31
Digital capability requirements and improvement strategies: Organizational socialization of AI teammates31
A machine learning approach to primacy-peak-recency effect-based satisfaction prediction31
Bibliometric feature identification and analysis of retracted papers in biomedicine: An interpretable machine learning perspective31
Predicting Chinese tourists’ B&B preferences through a method of online reviews causality analytic31
Dynamic graph construction via motif detection for stock prediction31
A novel dropout mechanism with label extension schema toward text emotion classification31
Editorial Board31
A plug-and-play adapter for consistency identification in task-oriented dialogue systems31
EPIC: An epidemiological investigation of COVID-19 dataset for Chinese named entity recognition31
Towards automatic conceptual metaphor detection for psychological tasks31
Hierarchical information matters! Improving AMR parsing with multi-granularity representation interactions31
Entity neighborhood awareness and hierarchical message aggregation for inductive relation prediction31
Combining travel behavior in metro passenger flow prediction: A smart explainable Stacking-Catboost algorithm31
Psycholinguistic knowledge-guided graph network for personality detection of silent users31
Let long-term interests talk: An disentangled learning model for recommendation based on short-term interests generation30
Enhancing public campaign messages: The power of causal arguments30
Improving unsupervised keyphrase extraction by modeling hierarchical multi-granularity features30
Event is more valuable than you think: Improving the Similar Legal Case Retrieval via event knowledge30
Enhancing image sentiment analysis: A user-centered approach through user emotions and visual features29
Research on learner “emotion-behavior-ability” characteristics based on MOOC online education user profiles29
A Social-aware Gaussian Pre-trained model for effective cold-start recommendation29
Historical facts learning from Long-Short Terms with Language Model for Temporal Knowledge Graph Reasoning29
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
HHGN: A Hierarchical Reasoning-based Heterogeneous Graph Neural Network for fact verification29
Propagation2Vec: Embedding partial propagation networks for explainable fake news early detection28
A multimodal time-series method for gifting prediction in live streaming platforms28
Multi-granularity attribute similarity model for user alignment across social platforms under pre-aligned data sparsity28
Fair Top-k Ranking with multiple protected groups28
Real-world model for bitcoin price prediction28
Revealing the technology development of natural language processing: A Scientific entity-centric perspective28
Recognizing misogynous memes: Biased models and tricky archetypes28
Keyword decisions in sponsored search advertising: A literature review and research agenda28
An improved algorithm for practical byzantine fault tolerance to large-scale consortium chain28
On the effect of relevance scales in crowdsourcing relevance assessments for Information Retrieval evaluation28
What users’ musical preference on Twitter reveals about psychological disorders27
EACE: A document-level event argument extraction model with argument constraint enhancement27
Cognitive Biases in Fact-Checking and Their Countermeasures: A Review27
A new data mining method for time series in visual analysis of regional economy27
An efficient loss function and deep learning approach for ranking stock returns in the absence of prior knowledge27
Examining communication network behaviors, structure and dynamics in an organizational hierarchy: A social network analysis approach27
EIOA: A computing expectation-based influence evaluation method in weighted hypergraphs27
Characterizing scientists leaving science before their time: Evidence from mathematics27
Evaluating the faithfulness of saliency maps in explaining deep learning models using realistic perturbations27
Multi-feature fused collaborative attention network for sequential recommendation with semantic-enriched contrastive learning27
Market Competition as a Moderator of the Effect of Social Signals on Viewership in Video-Sharing Platforms27
The attention inequality of scientists: A core-periphery structure perspective27
Center-retained fine-tuning for conversational question ranking through unsupervised center identification27
Demographics and topics impact on the co-spread of COVID-19 misinformation and fact-checks on Twitter27
Financial risk assessment of imbalanced data based on nonlinear causal time-series network27
DualFLAT: Dual Flat-Lattice Transformer for domain-specific Chinese named entity recognition26
Tag embedding based personalized point of interest recommendation system26
Retrieval Contrastive Learning for Aspect-Level Sentiment Classification26
User-Defined SWOT analysis – A change mining perspective on user-generated content26
FGVIrony: A Chinese Dataset of Fine-grained Verbal Irony26
A co-attention based multi-modal fusion network for review helpfulness prediction26
Business intelligence ability to enhance organizational performance and performance evaluation capabilities by improving data mining systems for competitive advantage26
User satisfaction with Arabic COVID-19 apps: Sentiment analysis of users’ reviews using machine learning techniques26
The shifting role of information processing and management in interdiscipline development: From a collection of tools to a crutch?26
Effects of members’ response styles in an online depression community based on text mining and empirical analysis26
PRoT-FL: A privacy-preserving and robust Training Manager for Federated Learning26
Knowledge graph validation by integrating LLMs and human-in-the-loop26
Transfer language selection for zero-shot cross-lingual abusive language detection25
Integrating GIN-based multimodal feature transformation and multi-feature combination voting for irony-aware cyberbullying detection25
Unifying knowledge iterative dissemination and relational reconstruction network for image–text matching25
Data augmentation of credit default swap transactions based on a sequence GAN25
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