Indexed in Journament
Data Science & Engineering
ISSN 3105-7497，3105-7500· EN
Login or register to claim ownership or editorship of this journal.
38.2
050100
The Journament Score is computed from platform statistics — reader engagement,
accessibility, publication timeliness, keyword breadth, community impact and content
distribution — into a single 0–100 figure, recalculated as new articles and metadata
are indexed. Dimensions that cannot be measured for this journal are excluded rather
than estimated. It is independent of the paid AI Quality Analysis, which never
affects this score or the ranking.
Full methodology →
About This Journal
Journal of Data Science and Engineering
ISSN:Print: 3105-7497，Online: 3105-7500.
CODEN: SKYGAY
(International Standard Serial Identifier, globally unique, assigned by the Chemical Abstracts Service (CAS)).
Publication Model: Gold Open Access (Gold OA), licensed under the Creative Commons Attribution 4.0 International License (CC BY 4.0). Full-text open access permanently.
Publisher: QUEST PRESS LIMITED
Publication Frequency: Bimonthly
Languages: Chinese, English
Submission Language: Chinese (English title, abstract, keywords, author affiliations and names required).
Distribution Support: China International Book Trading Corporation (CIBTC)
Import Record Number: G015Z119
This journal has been indexed by multiple authoritative academic databases worldwide. It is committed to promoting the global dissemination of high-quality research, collaborating with scholars worldwide to build an open, collaborative and forward-looking international academic community.
I. Core Positioning
Data Science & Engineering is an international academic journal focusing on data-driven innovation and engineering practice. The journal is dedicated to promoting the deep integration of data science theories and engineering applications, with a focus on cutting-edge developments in big data technology, 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.
II. Scope
The journal welcomes 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 Preservation
Natural Language Processing and Text Mining
Recommender Systems and Intelligent Decision-Making
Data Governance and Data Quality
Data Science and Engineering Education
III. Aims and Vision
The journal aims to become an authoritative academic exchange platform in the field of data science and engineering, promoting the collaborative development of theoretical innovation and technical practice. We are committed to fostering in-depth cooperation between academia and industry, providing a high-quality platform for researchers, engineers and educators to share achievements and engage in academic dialogue, and facilitating the transformation of data-driven research paradigms.
| Short Name | Data Sci. Eng. |
|---|---|
| Abbreviated Name | Data Sci Eng |
| ISSN | 3105-7497，3105-7500 |
| URL | https://sjkxygc.scionline2025.com/ |
| Author Instructions | https://sjkxygc.scionline2025.com/Aboutus.asp?Aboutusorder=1 |
Quality Profile
4 of 12 dimensions measured
This journal
Average of scored journals
Platform statistics — the free Journament Score
AI Quality Analysis — separate paid product, ranks nothing
8 of the 12 dimensions could not be measured for this journal. They are left out entirely rather than plotted as zero, and with 4 dimensions measured there is not enough of a profile to draw as a shape.
Show the numbers
| Dimension | This journal | Corpus average |
|---|---|---|
| Engagement | 30.3 | 30.4 |
| Accessibility | 45.0 | 23.0 |
| Timeliness | — | 3.0 |
| Diversity | — | 20.9 |
| Innovation | 70.0 | 24.1 |
| Community Impact | 3.6 | 4.1 |
| Content Distribution | — | 88.8 |
| Content Quality | — | 55.1 |
| Ethics & Transparency | — | 40.5 |
| Editorial Standards | — | 33.0 |
| Publication Regularity | — | 52.9 |
| Geographic Reach | — | 30.4 |
Articles (0)
No articles found
This journal doesn't have any indexed articles yet.