Springer Nature

Data Science and Engineering Template

Write in a clean editor, then format for Data Science and Engineering in one click — DocuGuru applies the official Springer Nature template with numbered references and exports a submission-ready PDF plus the editable LaTeX source. Free to start.

About the Data Science and Engineering format

Data Science and Engineering is a peer-reviewed journal published by Springer Nature, covering Advanced Graph Neural Networks, Data Management and Algorithms, Complex Network Analysis Techniques.

PublisherSpringer Nature
Reference styleNumbered (Springer Basic)
Numbered — [1], [2] in the text
1. Smith A, Jones B, Lee C (2023) A representative article title. Data Science and Engineering 12:45–58

Formats any DOI in Data Science and Engineering style. No sign-up.

Publishes research inAdvanced Graph Neural Networks Data Management and Algorithms Complex Network Analysis Techniques Recommender Systems and Techniques Topic Modeling
ISSN2364-1185
Citation impact (2-yr)5.02
h-index38
i10-index161
Total citations6,187
Open accessYes
Top institutions publishing hereEast China Normal University
Journal websitelink.springer.com
You getA submission-ready PDF and the editable LaTeX source — ready to submit.

Papers published in Data Science and Engineering per year

4
2015
24
2016
31
2017
24
2018
32
2019
33
2020
26
2021
26
2022
34
2023
34
2024
50
2025

Citation impact of Data Science and Engineering by publication year

206
2015
785
2016
574
2017
423
2018
708
2019
706
2020
1.1K
2021
684
2022
408
2023
318
2024
160
2025

Citations each year’s papers have accumulated so far — the most recent years are still building up.

Most-cited papers in Data Science and Engineering

A Survey of Traffic Prediction: from Spatio-Temporal Data to Intelligent Transportation

Haitao Yuan, Guoliang Li · 23 Jan 2021

Abstract Intelligent transportation (e.g., intelligent traffic light) makes our travel more convenient and efficient. With the development of mobile Internet and position technologies, it is reasonable to collect spatio-temporal data and then leverage these data to achieve the goal of intelligent transportation, and here, traffic prediction plays an important role. In this paper, we provide…

Big Data Reduction Methods: A Survey

Muhammad Habib ur Rehman, Chee Sun Liew, Assad Abbas et al. · 1 Dec 2016

Research on big data analytics is entering in the new phase called fast data where multiple gigabytes of data arrive in the big data systems every second. Modern big data systems collect inherently complex data streams due to the volume, velocity, value, variety, variability, and veracity in the acquired data and consequently give rise to…

Medical Big Data: Neurological Diseases Diagnosis Through Medical Data Analysis

Siuly Siuly, Yanchun Zhang · 1 Jun 2016

Diagnosis of neurological diseases is a growing concern and one of the most difficult challenges for modern medicine. According to the World Health Organisation’s recent report, neurological disorders, such as epilepsy, Alzheimer’s disease and stroke to headache, affect up to one billion people worldwide. An estimated 6.8 million people die every year as a result…

Representation Learning in Multi-view Clustering: A Literature Review

Man-Sheng Chen, Jiaqi Lin, Xianglong Li et al. · 1 Aug 2022

Abstract Multi-view clustering (MVC) has attracted more and more attention in the recent few years by making full use of complementary and consensus information between multiple views to cluster objects into different partitions. Although there have been two existing works for MVC survey, neither of them jointly takes the recent popular deep learning-based methods into…

Image Preprocessing in Classification and Identification of Diabetic Eye Diseases

Rubina Sarki, Khandakar Ahmed, Hua Wang et al. · 17 Aug 2021

Diabetic eye disease (DED) is a cluster of eye problem that affects diabetic patients. Identifying DED is a crucial activity in retinal fundus images because early diagnosis and treatment can eventually minimize the risk of visual impairment. The retinal fundus image plays a significant role in early DED classification and identification. An accurate diagnostic model's…

Data Science and Engineering template — frequently asked questions

How do I write a paper in the Data Science and Engineering format?
In DocuGuru you write your manuscript in a normal editor — no LaTeX setup required — and select the Data Science and Engineering template. When you export, DocuGuru compiles the paper into the official Springer Nature format and hands you a submission-ready PDF along with the editable LaTeX source.
What reference style does Data Science and Engineering use?
Data Science and Engineering uses Numbered (Springer Basic) references, shown as numbered [1], [2] markers in the text. DocuGuru formats every in-text citation and the reference list in this exact style automatically. A reference appears like this: 1. Smith A, Jones B, Lee C (2023) A representative article title. Data Science and Engineering 12:45–58
Do I need to know LaTeX to submit to Data Science and Engineering?
No. DocuGuru generates the sn-jnl LaTeX class and compiles the PDF for you in the background, so you get a Springer Nature-ready Data Science and Engineering document without writing any LaTeX. If you do want it, the LaTeX source is included in the export.
Can I import an existing draft into the Data Science and Engineering template?
Yes. Paste or upload your current manuscript — Word, LaTeX, Markdown, or plain text — and DocuGuru reflows it into the Data Science and Engineering format with correct headings, figures, tables, and numbered citations.
Who publishes Data Science and Engineering?
Data Science and Engineering is a multidisciplinary journal published by Springer Nature. DocuGuru's Data Science and Engineering template matches Springer Nature's official submission format.
Can I export a submission-ready Data Science and Engineering PDF?
Yes — DocuGuru produces a PDF built with the official Data Science and Engineering template (the sn-jnl class) that is ready to submit to Springer Nature, together with the matching LaTeX source files.
How much does the Data Science and Engineering template cost?
You can start writing in the Data Science and Engineering template for free. Exporting the final submission-ready Data Science and Engineering PDF and LaTeX source is part of DocuGuru's paid plans — see the app for current pricing.
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