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IEEE Transactions on Big Data is a peer-reviewed journal published by IEEE, covering Privacy-Preserving Technologies in Data, Advanced Graph Neural Networks, Complex Network Analysis Techniques. Over its lifetime it has published 1,118 papers, which have received 25,042 citations.
| Publisher | IEEE |
|---|---|
| Reference style | Numbered (IEEE) Numbered — [1], [2] in the text [1] A. Smith, B. Jones, and C. Lee, "A representative article title," IEEE Transactions on Big Data, vol. 12, no. 3, pp. 45–58, 2023.
Formats any DOI in IEEE Transactions on Big Data style. No sign-up. |
| Publishes research in | Privacy-Preserving Technologies in Data Advanced Graph Neural Networks Complex Network Analysis Techniques Human Mobility and Location-Based Analysis Cryptography and Data Security |
| ISSN | 2332-7790 |
| Citation impact (2-yr) | 5.1 |
| h-index | 72 |
| i10-index | 503 |
| Top institutions publishing here | Tsinghua University |
| Journal website | ieeexplore.ieee.org |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Citations each year’s papers have accumulated so far — the most recent years are still building up.
With the widespread use of information technologies, information networks are becoming increasingly popular to capture complex relationships across various disciplines, such as social networks, citation networks, telecommunication networks, and biological networks. Analyzing these networks sheds light on different aspects of social life such as the structure of societies, information diffusion, and communication patterns. In reality,…
Similarity search finds application in database systems handling complex data such as images or videos, which are typically represented by high-dimensional features and require specific indexing structures. This paper tackles the problem of better utilizing GPUs for this task. While GPUs excel at data parallel tasks such as distance computation, prior approaches in this domain…
In this study, with Singapore as an example, we demonstrate how we can use mobile phone call detail record (CDR) data, which contains millions of anonymous users, to extract individual mobility networks comparable to the activity-based approach. Such an approach is widely used in the transportation planning practice to develop urban micro simulations of individual…
At present, computed tomography (CT) is widely used to assist disease diagnosis. Especially, computer aided diagnosis (CAD) based on artificial intelligence (AI) recently exhibits its importance in intelligent healthcare. However, it is a great challenge to establish an adequate labeled dataset for CT analysis assistance, due to the privacy and security issues. Therefore, this paper…
Traditional data mining usually deals with data from a single domain. In the big data era, we face a diversity of datasets from different sources in different domains. These datasets consist of multiple modalities, each of which has a different representation, distribution, scale, and density. How to unlock the power of knowledge from multiple disparate…
