Most Cited Articles

Open access

ISSN: 2666-7649
CN: 61-1530/TN
p-ISSN: 2097-3187

Machine learning-based approach: Global trends, research directions, and regulatory standpoints

Effects of information quality on information adoption on social media review platforms: moderating role of perceived risk

New developments in wind energy forecasting with artificial intelligence and big data: a scientometric insight

Blockchain and its derived technologies shape the future generation of digital businesses: a focus on decentralized finance and the Metaverse

Hotspots and trends of environmental, social and governance (ESG) research: a bibliometric analysis

The impact of consumer perceived value on repeat purchase intention based on online reviews: by the method of text mining

Data security governance in the era of big data: status, challenges, and prospects

Virtual manufacturing in Industry 4.0: A review

Data science: connotation, methods, technologies, and development

Monitoring machine learning models: a categorization of challenges and methods

The influence of e-commerce live streaming affordance on consumer's gift-giving and purchase intention

Tourism demand forecasting and tourists’ search behavior: evidence from segmented Baidu search volume

The impact of the digital economy on the servitization of industrial structures: the moderating effect of human capital

Machine learning-based prediction models for patients no-show in online outpatient appointments

Pearson correlation and transfer entropy in the Chinese stock market with time delay

Investigating customer churn in banking: A machine learning approach and visualization app for data science and management

Application of support vector machine algorithm for early differential diagnosis of prostate cancer

A combined forecasting method for intermittent demand using the automotive aftermarket data

MCDA techniques used in optimization of weights and ratings of DRASTIC model for groundwater vulnerability assessment

Explainable prediction of loan default based on machine learning models

Anomalous node detection in attributed social networks using dual variational autoencoder with generative adversarial networks

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