 | Data Science & Engineering Call for Papers Journal Information Journal Title (English): Data Science & Engineering Journal Title (Chinese): 《数据科学与工程》 ISSN: 3105-7497 (print) / 3105-7500 (online) Publishing Model: Gold Open Access (under CC BY 4.0 license) Publisher: QUEST PRESS LIMITED Publication Frequency: Bimonthly Language of Submission: Chinese (must include English title, abstract, keywords, and author affiliations/names) Core Focus Data Science & Engineering is an international academic journal focusing on data-driven innovation and engineering practices. The journal is committed to advancing the deep integration of data science theories and methodologies with engineering applications, with particular emphasis on cutting-edge developments in big data technologies, intelligent algorithms, and systems engineering. We particularly encourage interdisciplinary research paradigms that integrate computer science, statistics, and domain expertise to provide academic support for innovative breakthroughs in data science and engineering. Scope We welcome submissions in the following areas: Big Data Architecture and Distributed Systems Machine Learning and Deep Learning Algorithms Data Mining and Knowledge Discovery Data Visualization and Visual Analytics Database Technology and Data Warehousing Data Security and Privacy Protection Natural Language Processing and Text Mining Recommendation Systems and Intelligent Decision Making Data Governance and Data Quality Data Science and Engineering Education Aims and Vision Our goal is to establish Data Science & Engineering as an authoritative academic exchange platform in the field of data science and engineering, promoting the coordinated development of theoretical innovation and technological practice. We are committed to fostering deep collaboration between academia and industry, providing a high-quality platform for researchers, engineers, and educators to share achievements and engage in academic dialogue, thereby facilitating the transformation towards data-driven research paradigms. Global Indexing Plan The journal is pursuing inclusion in the following international academic databases: SCIE (Science Citation Index Expanded) Ei Compendex Scopus DBLP Computer Science Bibliography DOAJ (Directory of Open Access Journals) Google Scholar Baidu Scholar Wanfang Data VIP (Weipu) Information CNKI (China National Knowledge Infrastructure) | ||
| Published by | Quest Press Limited | ||
| Year publication | 2025 | Frequency (Publish per Year) | 6 |
| ISSN (print) | 3105-7497 | ISSN (online) | 3105-7500 |
| Journal discipline | Computer Science | Full text language | Chinese, English |
| Journal Website | http://sjkxygc.scionline2025.com/ | ||
| Editor in Chief | huáng lín | ||
| Abbreviated Name | CODEN：SKYGAY | Country | Macau |
| ISI | Scopus | ||
| Journal is indexed by | DOI，Crossref，Index Copernicus.Poland，EuroPub Publishing Company.Britain，Academia.edu.America，ResearchBib.Japan，Vanderbilt University Medical Center.America，LivRe（livre.cnen.gov.br）.Brazil，Research Center for Chinese Science Evaluation.RCCSE，YangtzeRiverRepos.China，Eurasian Science Journal Index(ESJI).Kazakhstan，Sci Online，Baidu Baike.China，CNKI.China，Wanfang Data.China，VIP.China，Zhongyou Reading.China，Longyuan Journals Network.China，uperStar Database.China，Macao Virtual Library.China，ASCI，GoogleScholar，Baidu Scholar.China，Open Access Library(OALib).America，Kind Congress, KindCongress | ||
| Impact Factor | Date added to KC | 04 Jan 2026 | |
