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…
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.
| Publisher | Springer Nature |
|---|---|
| Reference style | Numbered (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 in | Advanced Graph Neural Networks Data Management and Algorithms Complex Network Analysis Techniques Recommender Systems and Techniques Topic Modeling |
| ISSN | 2364-1185 |
| Citation impact (2-yr) | 5.02 |
| h-index | 38 |
| i10-index | 161 |
| Total citations | 6,187 |
| Open access | Yes |
| Top institutions publishing here | East China Normal University |
| Journal website | link.springer.com |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Papers published in Data Science and Engineering per year
Citation impact of Data Science and Engineering by publication year
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
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…
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…
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…
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…