Journal Detail

Journal Profile: Data Science & Engineering Chinese Title: ????????? English Title: Data Science & Engineering ISSN 3105-7497 (Print) ISSN 3105-7500 (Online) CODEN: SKYGAY (Assigned by Chemical Abstracts Service, CAS) Publication Model: Gold Open Access under the Creative Commons Attribution 4.0 International License (CC BY 4.0). All content is permanently and freely accessible. Publisher: QUEST PRESS LIMITED Publication Frequency: Bimonthly Publication Language: Chinese, English Submission Language: Chinese (English title, abstract, keywords, author affiliations, and names must be provided) Distribution Support: China International Book Trading Corporation (CIBTC) Import Registration Number: G015Z119 Core Positioning Data Science & Engineering is an international academic journal focusing on data-driven innovation and engineering practice. The journal is committed to promoting the deep integration of data science theoretical methods and engineering applications, with particular emphasis on cutting-edge developments in big data technology, intelligent algorithms, and systems engineering. We especially encourage interdisciplinary research paradigms that integrate computer science, statistics, and domain-specific expertise to provide academic support for innovative breakthroughs in the field of data science and engineering.