Data Technologies and Applications

Papers
(The median citation count of Data Technologies and Applications is 1. 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
Early identification of high attention content for online mental health community users based on multi-level fusion model35
A privacy-preserving model for multi-party semi-supervised knowledge transfer29
AsCDPR: a novel framework for ratings and personalized preference hotel recommendation using cross-domain and aspect-based features15
Educational data mining in the academic setting: employing the data produced by blended learning to ameliorate the learning process15
Deep-shallow feature fusion for assessing document image quality14
Tracking the size of the estimation window in time-series data12
TCE-DBF: textual context enhanced dynamic bimodal fusion for hate video detection9
Roles of topic features in perceived helpfulness of online company reviews9
Exploring cross-cultural disparities in tourists' perceived images: a text mining and sentiment analysis study using LDA and BERT-BILSTM models8
Research on the generalization of social bot detection from two dimensions: feature extraction and detection approaches7
HOG-GRU: a novel multi-modal water level forecasting model integrating satellite imagery and reservoir operation data7
Blockchain solutions for scientific paper peer review: a systematic mapping of the literature7
Multi-relation global context learning for session-based recommendation7
A decoupled methodology for process-aware post-harvest loss prediction6
Property Assertion Constraints for ontologies and knowledge graphs6
Community relations discovery methods for users in Fancircle based on sentiment analysis in China6
Harmonized system code classification using supervised contrastive learning with sentence BERT and multiple negative ranking loss6
Publisher’s Note5
ABEE: automated bio entity extraction from biomedical text documents5
BiGRU-CNN-AT: classifiying emotion on social media5
Analysis of CEO career patterns using machine learning: taking US university graduates as an example5
Savitar: an intelligent sign language translation approach for deafness and dysphonia in the COVID-19 era5
Optimized aspect and self-attention aware LSTM for target-based semantic analysis (OAS-LSTM-TSA)4
A novel word-graph-based query rewriting method for question answering4
ID-SF-Fusion: a cooperative model of intent detection and slot filling for natural language understanding4
A new method based on ensemble time series for fast and accurate clustering4
CGDSClass: a sensitive personal information detection and classification solution for Chinese open government data4
Analyzing students' attention by gaze tracking and object detection in classroom teaching4
TikTok app usage behavior: the role of hedonic consumption experiences3
Vertical federated process mining framework for inter-organizational supply chain process discovery3
Analysis of automated guided vehicles performance based on process mining techniques3
Visualization algorithm based on FDR control testing for dimension reduction of textual data3
CA-CD: context-aware clickbait detection using new Chinese clickbait dataset with transfer learning method3
Risk assessment in machine learning enhanced failure mode and effects analysis3
Research data management and FAIR compliance through popular research data repositories: an exploratory study3
SanMove: next location recommendation via self-attention network3
The data-driven emergence of online opinion leaders: telecommunication fraud in Northern Myanmar2
Comparative evaluation of embedding and generative model combinations in retrieval-augmented generation pipelines2
Binary classification of multi-magnification histopathological breast cancer images using late fusion and transfer learning2
Music sentiment classification based on an optimized CNN-RF-QPSO model2
Performance prediction of multivariable linear regression based on the optimal influencing factors for ranking aggregation in crowdsourcing task2
A Bayesian Inference-based approach for extracting driving data with implicit intention2
Channel attention-based spatial-temporal graph neural networks for traffic prediction2
A new approach for histological classification of breast cancer using deep hybrid heterogenous ensemble2
A comparative analysis of job satisfaction prediction models using machine learning: a mixed-method approach2
TMsDP: two-stage density peak clustering based on multi-strategy optimization2
Novel framework for learning performance prediction using pattern identification and deep learning2
Fighting disinformation with AI tools: datasets for detecting fake news on climate change and the Russian invasion of Ukraine2
Measuring land lot shapes for property valuation2
Identifying surface points based on machine learning algorithms: a comprehensive analysis2
Hierarchical deep reinforcement learning for real-time tactical decision-making in team sports2
Light field image coding using a residual channel attention network–based view synthesis2
Collaboration and interaction with smart mechanisms in flipped classrooms2
A dynamic development of a herbal ontology: enhancing the safe use of medicinal plants1
A sensor data mining process for identifying root causes associated with low yield in semiconductor manufacturing1
Emotionally-tagged video database: a systematic review1
A DCV performance in IAQ services during COVID-19: a study of the contractor in Malaysia1
Joint modeling method of question intent detection and slot filling for domain-oriented question answering system1
LawRAG: Indonesian legal document retrieval-augmented generation with specialized chunking and reranking strategies1
On the differences between CNNs and vision transformers for COVID-19 diagnosis using CT and chest x-ray mono- and multimodality1
A model of image retrieval based on KD-Tree Random Forest1
Improve Arabic–English translation using Arabic Language Attention Transformer1
Interpretable deep learning for anticipating length of stay in Wuhan: a comparative analysis before and during the COVID-19 pandemic1
A knowledge graph analysis tool of people and organizations to facilitate digital humanities research1
Identifying business information through deep learning: analyzing the tender documents of an Internet-based logistics bidding platform1
Disentangling the market reaction to corporate data breach events: a configurational approach1
Product competitiveness analysis from the perspective of customer perceived helpfulness: a novel method of information fusion research1
Forecasting high-quality patents from the perspective of technology convergence1
A novel similarity measure SF-IPF for CBKNN with implicit feedback data1
UniPercepNet-S: a lightweight dual-task framework with attention mechanisms for real-time object detection and instance segmentation1
Sleep arousal detection for monitoring of sleep disorders using one-dimensional convolutional neural network-based U-Net and bio-signals1
False alarm detection in intensive care unit for monitoring arrhythmia condition using bio-signals1
SeaRank: relevance prediction based on click models in a reinforcement learning framework1
News recommendations based on collaborative topic modeling and collaborative filtering with generative adversarial networks1
Mixed approach speech-to-text translation for endangered language1
Using weighted features to predict questions’ answerability in question and answer communities1
Over-sampling ensemble methods for class imbalanced datasets1
PGRC: an explainable recommendation method enhanced by knowledge graph and reinforcement learning1
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