Information Processing & Management

Papers
(The TQCC of Information Processing & Management is 19. 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 2021-06-01 to 2025-06-01.)
ArticleCitations
Why logit distillation works: A novel knowledge distillation technique by deriving target augmentation and logits distortion314
DMGAE: An interpretable representation learning method for directed scale-free networks based on autoencoder and masking201
Editorial Board198
UniDE: A multi-level and low-resource framework for automatic dialogue evaluation via LLM-based data augmentation and multitask learning167
Enhancing video rumor detection through multimodal deep feature fusion with time-sync comments166
How can consumers without credit history benefit from the use of information processing and machine learning tools by financial institutions?160
A bias–variance evaluation framework for information retrieval systems149
Research on the construction of event corpus with document-level causal relations for social security147
A novel approach to assess and improve syntactic interoperability in data integration136
Exploiting context-awareness and multi-criteria decision making to improve items recommendation using a tripartite graph-based model131
Low-resource court judgment summarization for common law systems126
CDFRS: A scalable sampling approach for efficient big data analysis118
Multi-View disentanglement-based bidirectional generalized distillation for diagnosis of liver cancers with ultrasound images118
Enhancing relevant concepts extraction for ontology learning using domain time relevance113
Open Government Data (OGD) sites and the sharing of country-specific real-time pandemic information: An investigation into COVID-19 datasets available on worldwide OGDs111
Understanding the information journeys of late-life migrants to inform support design: Information seeking driven by a major life transition106
Domain- and category-style clustering for general fake news detection via contrastive learning105
Practical perspectives of consumer fairness in recommendation99
Global and local hypergraph learning method with semantic enhancement for POI recommendation97
Informed Patch Enhanced HyperGCN for skeleton-based action recognition97
Popularity prediction for marketer-generated content: A text-guided attention neural network for multi-modal feature fusion92
Edge contrastive learning for link prediction92
Persuasion strategies of misinformation-containing posts in the social media89
Fair and Explainable Depression Detection in Social Media88
A hierarchical convolutional model for biomedical relation extraction86
Editorial Board81
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 model81
Modeling label-wise syntax for fine-grained sentiment analysis of reviews via memory-based neural model80
Hierarchical graph fusion network and a new argumentative dataset for multiparty dialogue discourse parsing79
From words to gender: Quantitative analysis of body part descriptions within literature in Portuguese77
To academia or industry: Mobility and impact on ACM fellows’ scientific careers76
Reviewing 25 years of continuous sign language recognition research: Advances, challenges, and prospects75
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
SC-Com: Spotting Collusive Community in Opinion Spam Detection74
Information matching model and multi-angle tracking algorithm for loan loss-linking customers based on the family mobile social-contact big data network74
PecidRL: Petition expectation correction and identification based on deep reinforcement learning72
Interest Evolution-driven Gated Neighborhood aggregation representation for dynamic recommendation in e-commerce72
An empirical study of Multimodal Entity-Based Sentiment Analysis with ChatGPT: Improving in-context learning via entity-aware contrastive learning71
Replicable semi-supervised approaches to state-of-the-art stance detection of tweets70
Adaptive orthogonal semi-supervised feature selection with reliable label matrix learning69
Beyond expression: Comprehensive visualization of knowledge triplet facts67
Quantifying the structural and temporal characteristics of negative links in signed citation networks66
Is my stance the same as your stance? A cross validation study of stance detection datasets66
An Intelligent Cognitive-Inspired Computing with Big Data Analytics Framework for Sentiment Analysis and Classification66
Combining association-rule-guided sequence augmentation with listwise contrastive learning for session-based recommendation66
Utilizing cognitive signals generated during human reading to enhance keyphrase extraction from microblogs65
On the efficacy of old features for the detection of new bots65
Predicting the Hate: A GSTM Model based on COVID-19 Hate Speech Datasets64
Is diversity optimization always suitable? Toward a better understanding of diversity within recommendation approaches63
Neural membrane computing models with migrating rules for density peak clustering62
Multi-kernel graph fusion for spectral clustering62
CAWAL: A novel unified analytics framework for enterprise web applications and multi-server environments62
Contrastive Graph Convolutional Networks with adaptive augmentation for text classification61
Quantification and prediction of engagement: Applied to personalized course recommendation to reduce dropout in MOOCs61
Noise-reducing graph neural network with intent-target co-action for session-based recommendation59
Improving legal judgment prediction through reinforced criminal element extraction59
Perceptions of Edinburgh: Capturing neighbourhood characteristics by clustering geoparsed local news58
Improving Abusive Language Detection with online interaction network58
Weakly supervised deep metric learning on discrete metric spaces for privacy-preserved clustering57
Artificial cheerleading in IEO: Marketing campaign or pump and dump scheme57
Deep learning based conference program organization system from determining articles in session to scheduling56
XGBoost with Q-learning for complex data processing in business logistics management55
Arabic machine reading comprehension on the Holy Qur’an using CL-AraBERT55
Emotion-cognitive reasoning integrated BERT for sentiment analysis of online public opinions on emergencies55
Topic Audiolization: A Model for Rumor Detection Inspired by Lie Detection Technology54
The use of convolutional neural networks for abnormal behavior recognition in crowd scenes54
CLAVE: A deep learning model for source code authorship verification with contrastive learning and transformer encoders54
Adversarial network integrating dual attention and sparse representation for semi-supervised semantic segmentation53
Data information processing of traffic digital twins in smart cities using edge intelligent federation learning52
Measuring and mitigating language model biases in abusive language detection52
BCE4ZSR: Bi-encoder empowered by teacher cross-encoder for zero-shot cold-start news recommendation51
A comprehensive study on fidelity metrics for XAI51
KBHN: A knowledge-aware bi-hypergraph network based on visual-knowledge features fusion for teaching image annotation51
Information asymmetry evaluation in hotel E-commerce market: Dynamics and pricing strategy under pandemic51
An effective method for figures and tables detection in academic literature50
Content still matters. A machine learning model for predicting news longevity from textual and context features50
ISE-Hate: A benchmark corpus for inter-faith, sectarian, and ethnic hatred detection on social media in Urdu50
LVTIA: A new method for keyphrase extraction from scientific video lectures49
Investigating the impact of recommender systems on user-based and item-based popularity bias49
Al-SPSD: Anti-leakage smart Ponzi schemes detection in blockchain49
The social-technological ways to develop digital entrepreneurship: Targeting value creation and value capture49
Exploiting multiple influence pattern of event organizer for event recommendation48
Estimating financial information asymmetry in real estate transactions in China - An application of two-tier frontier model48
Mitigating the negative impact of over-association for conversational query production48
Efficient querying k-trusses on temporal graphs47
Hierarchical multi-label text classification of tourism resources using a label-aware dual graph attention network47
Editorial Board47
ARL: An adaptive reinforcement learning framework for complex question answering over knowledge base46
Cross-modal image–text search via Efficient Discrete Class Alignment Hashing46
Development of an intelligent information system for financial analysis depend on supervised machine learning algorithms46
Joint modeling of causal phrases-sentiments-aspects using Hierarchical Pitman Yor Process45
Screening through a broad pool: Towards better diversity for lexically constrained text generation45
Unveiling the secrets of online consumer choice: A deep learning algorithmic approach to evaluate and predict purchase decisions through EEG responses45
An emotion-based personalized music recommendation framework for emotion improvement45
Dual emotion based fake news detection: A deep attention-weight update approach44
EvolveDetector: Towards an evolving fake news detector for emerging events with continual knowledge accumulation and transfer44
A prompt model with combined semantic refinement for aspect sentiment analysis44
A high-performance native approach to adaptive blockchain smart-contract transmission and execution43
Predicting users’ future interests on social networks: A reference framework43
Not all fake news is semantically similar: Contextual semantic representation learning for multimodal fake news detection43
Editorial Board42
SecureCPS: Cognitive inspired framework for detection of cyber attacks in cyber–physical systems42
How the type and valence of feedback information influence volunteers’ knowledge contribution in citizen science projects42
BCMF: A bidirectional cross-modal fusion model for fake news detection42
Knowledge graph representation learning with relation-guided aggregation and interaction42
Detecting racial stereotypes: An Italian social media corpus where psychology meets NLP42
The domination effect of the intelligent environment in the catastrophe mechanism of investor behavior41
Non-autoregressive personalized bundle generation41
Temporal group-aware graph diffusion networks for dynamic link prediction41
EGC: A novel event-oriented graph clustering framework for social media text40
Latent go-explore with area as unit40
Fair multi-stakeholder news recommender system with hypergraph ranking40
A Local context enhanced Consistency-aware Mamba-based Sequential Recommendation model40
Enhancing inter-sentence attention for Semantic Textual Similarity40
Time-series classification with SAFE: Simple and fast segmented word embedding-based neural time series classifier40
Characterizing the patterns of China's policies against COVID-19: A bibliometric study40
On the effects of aggregation strategies for different groups of users in venue recommendation39
Triple Sparse Denoising Discriminantive Least Squares Regression for image classification39
Time-aware multi-behavior graph network model for complex group behavior prediction39
Deconstructing cultural appropriation in online communities: A multilayer network analysis approach38
GAFM: A Knowledge Graph Completion Method Based on Graph Attention Faded Mechanism38
PROMISE: A pre-trained knowledge-infused multimodal representation learning framework for medication recommendation38
Dual-process theory-driven transparent approach for seniors to accept health misinformation detection results38
Privacy preserving in blockchain-based government data sharing: A Service-On-Chain (SOC) approach38
Fully Transformer-Equipped Architecture for end-to-end Referring Video Object Segmentation38
Mining multigranularity decision rules of concept cognition for knowledge graphs based on three-way decision38
Technostress causes cognitive overload in high-stress people: Eye tracking analysis in a virtual kiosk test37
Learning context-aware region similarity with effective spatial normalization over Point-of-Interest data37
Unveiling the dynamics of crisis events: Sentiment and emotion analysis via multi-task learning with attention mechanism and subject-based intent prediction37
Entity-centric multi-domain transformer for improving generalization in fake news detection37
Appeal to the head and heart: The persuasive effects of medical crowdfunding charitable appeals on willingness to donate37
Cyberbullying detection for low-resource languages and dialects: Review of the state of the art36
Fine-grained depression analysis based on Chinese micro-blog reviews36
A fine-grained and multi-context-aware learning path recommendation model over knowledge graphs for online learning communities36
CKEMI: Concept knowledge enhanced metaphor identification framework36
On the feasibility of Federated Learning towards on-demand client deployment at the edge36
Learning optimal inter-class margin adaptively for few-shot class-incremental learning via neural collapse-based meta-learning36
Multi-attribute adaptive aggregation transformer for vehicle re-identification36
CAF-ODNN: Complementary attention fusion with optimized deep neural network for multimodal fake news detection36
A machine learning-based sentiment analysis of online product reviews with a novel term weighting and feature selection approach36
Summarizing source code with Heterogeneous Syntax Graph and dual position35
Financial literacy and psychological disaster preparedness: applicability of approach based on fuzzy functional dependencies35
Design and Implementation of an Efficient Electronic Bank Management Information System Based Data Warehouse and Data Mining Processing35
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
Editorial Board35
How do scientific papers from different journal tiers gain attention on social media?35
A new deep graph attention approach with influence and preference relationship reconstruction for rate prediction recommendation35
Privacy-enhancing distributed protocol for data aggregation based on blockchain and homomorphic encryption34
DSMM: A dual stance-aware multi-task model for rumour veracity on social networks34
Global information-aware argument mining based on a top-down multi-turn QA model34
ESGNet: A multimodal network model incorporating entity semantic graphs for information extraction from Chinese resumes34
Lexicon annotation in sentiment analysis for dialectal Arabic: Systematic review of current trends and future directions34
Active tag recommendation for interactive entity search: Interaction effectiveness and retrieval performance34
Enhancing Traceability of Infectious Diseases: A Blockchain-Based Approach34
Looking deep in the eyes: Investigating interpretation methods for neural models on reading tasks using human eye-movement behaviour34
Learning robotic motion with mirror therapy framework for hemiparesis rehabilitation34
Utilizing data driven methods to identify gender bias in LinkedIn profiles33
A novel emerging topic detection method: A knowledge ecology perspective33
Map retrieval intention recognition based on relevance feedback and geographic semantic guidance: For better understanding user retrieval demands33
Privacy-preserving cancelable multi-biometrics for identity information management33
Combining travel behavior in metro passenger flow prediction: A smart explainable Stacking-Catboost algorithm33
IS professionals’ information security behaviors in Chinese IT organizations for information security protection33
FFTree: A flexible tree to handle multiple fairness criteria33
Towards human-like perception: Learning structural causal model in heterogeneous graph32
Psycholinguistic knowledge-guided graph network for personality detection of silent users31
Digital capability requirements and improvement strategies: Organizational socialization of AI teammates31
Do more heads imply better performance? An empirical study of team thought leaders' impact on scientific team performance31
Editorial Board31
A Multi-Criteria Decision Support Model for Restaurant Selection Based on Users' Demand Level: The Case of Dianping.com31
Improving the performance and explainability of knowledge tracing via Markov blanket31
IDC-CDR: Cross-domain Recommendation based on Intent Disentanglement and Contrast Learning31
Historical facts learning from Long-Short Terms with Language Model for Temporal Knowledge Graph Reasoning31
The effect of business intelligence, organizational learning and innovation on the financial performance of innovative companies located in Science Park31
3SHNet: Boosting image–sentence retrieval via visual semantic–spatial self-highlighting31
Multi-task multi-modality SVM for early COVID-19 Diagnosis using chest CT data31
Entity neighborhood awareness and hierarchical message aggregation for inductive relation prediction30
Predicting Chinese tourists’ B&B preferences through a method of online reviews causality analytic30
Gender and sex bias in COVID-19 epidemiological data through the lens of causality30
HHGN: A Hierarchical Reasoning-based Heterogeneous Graph Neural Network for fact verification30
A machine learning approach to primacy-peak-recency effect-based satisfaction prediction30
Enhancing image sentiment analysis: A user-centered approach through user emotions and visual features30
Research on learner “emotion-behavior-ability” characteristics based on MOOC online education user profiles30
On the effect of relevance scales in crowdsourcing relevance assessments for Information Retrieval evaluation30
Dynamic graph construction via motif detection for stock prediction30
A plug-and-play adapter for consistency identification in task-oriented dialogue systems30
Multi-granularity attribute similarity model for user alignment across social platforms under pre-aligned data sparsity30
Let long-term interests talk: An disentangled learning model for recommendation based on short-term interests generation30
An end-to-end deep generative approach with meta-learning optimization for zero-shot object classification30
Demographics and topics impact on the co-spread of COVID-19 misinformation and fact-checks on Twitter30
Hierarchical information matters! Improving AMR parsing with multi-granularity representation interactions29
Event is more valuable than you think: Improving the Similar Legal Case Retrieval via event knowledge29
A novel multi-view clustering approach via proximity-based factorization targeting structural maintenance and sparsity challenges for text and image categorization29
EPIC: An epidemiological investigation of COVID-19 dataset for Chinese named entity recognition29
Fair Top-k Ranking with multiple protected groups29
Improving unsupervised keyphrase extraction by modeling hierarchical multi-granularity features29
Characterizing scientists leaving science before their time: Evidence from mathematics28
Real-world model for bitcoin price prediction28
Keyword decisions in sponsored search advertising: A literature review and research agenda28
ListMAP: Listwise learning to rank as maximum a posteriori estimation28
An improved algorithm for practical byzantine fault tolerance to large-scale consortium chain28
A novel dropout mechanism with label extension schema toward text emotion classification28
Towards automatic conceptual metaphor detection for psychological tasks28
Extracting key insights from earnings call transcript via information-theoretic contrastive learning28
A multimodal time-series method for gifting prediction in live streaming platforms27
Recognizing misogynous memes: Biased models and tricky archetypes27
Financial risk assessment of imbalanced data based on nonlinear causal time-series network27
An efficient loss function and deep learning approach for ranking stock returns in the absence of prior knowledge27
Data augmentation of credit default swap transactions based on a sequence GAN27
Cognitive Biases in Fact-Checking and Their Countermeasures: A Review27
Enhanced prototypical network for few-shot relation extraction27
A new data mining method for time series in visual analysis of regional economy27
Examining the importance of spatial aspects of travel routes: A multi-method approach27
Crowdsourced auction-based framework for time-critical and budget-constrained last mile delivery27
Revealing the technology development of natural language processing: A Scientific entity-centric perspective27
Propagation2Vec: Embedding partial propagation networks for explainable fake news early detection27
A Social-aware Gaussian Pre-trained model for effective cold-start recommendation27
Center-retained fine-tuning for conversational question ranking through unsupervised center identification27
Tag embedding based personalized point of interest recommendation system27
Convolutional neural encoding of online reviews for the identification of travel group type topics on TripAdvisor26
From statistical methods to deep learning, automatic keyphrase prediction: A survey26
Legal Judgment Prediction via graph boosting with constraints26
Ceasing hate with MoH: Hate Speech Detection in Hindi–English code-switched language26
EIOA: A computing expectation-based influence evaluation method in weighted hypergraphs26
PRoT-FL: A privacy-preserving and robust Training Manager for Federated Learning26
What users’ musical preference on Twitter reveals about psychological disorders26
DualFLAT: Dual Flat-Lattice Transformer for domain-specific Chinese named entity recognition26
Retrieval Contrastive Learning for Aspect-Level Sentiment Classification25
Towards travel recommendation interpretability: Disentangling tourist decision-making process via knowledge graph25
Examining communication network behaviors, structure and dynamics in an organizational hierarchy: A social network analysis approach25
Unifying knowledge iterative dissemination and relational reconstruction network for image–text matching25
Market Competition as a Moderator of the Effect of Social Signals on Viewership in Video-Sharing Platforms25
Leveraging enhanced BERT models for detecting suicidal ideation in Thai social media content amidst COVID-1925
Predicting the fundraising performance of environmental crowdfunding projects: An interpretable machine learning approach25
Effects of members’ response styles in an online depression community based on text mining and empirical analysis25
The shifting role of information processing and management in interdiscipline development: From a collection of tools to a crutch?25
Integrating GIN-based multimodal feature transformation and multi-feature combination voting for irony-aware cyberbullying detection24
Business intelligence ability to enhance organizational performance and performance evaluation capabilities by improving data mining systems for competitive advantage24
Evaluating the faithfulness of saliency maps in explaining deep learning models using realistic perturbations24
Spatial and temporal twin-guided pattern recurrent graph network for implementing reasoning of spatiotemporal knowledge graph24
A co-attention based multi-modal fusion network for review helpfulness prediction24
Multi-feature fused collaborative attention network for sequential recommendation with semantic-enriched contrastive learning24
User-Defined SWOT analysis – A change mining perspective on user-generated content24
A T5-based interpretable reading comprehension model with more accurate evidence training24
A contracted container-based code component collaboration model with reusable but invisible right management24
Transfer language selection for zero-shot cross-lingual abusive language detection24
EACE: A document-level event argument extraction model with argument constraint enhancement24
User satisfaction with Arabic COVID-19 apps: Sentiment analysis of users’ reviews using machine learning techniques24
IterSum: Iterative summarization based on document topological structure24
Reducing 0s bias in video moment retrieval with a circular competence-based captioner23
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