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IEEE Transactions on Network Science and Engineering is a peer-reviewed journal published by IEEE, covering Complex Network Analysis Techniques, IoT and Edge/Fog Computing, Distributed Control Multi-Agent Systems. Over its lifetime it has published 2,955 papers, which have received 57,961 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 Network Science and Engineering, vol. 12, no. 3, pp. 45–58, 2023.
Formats any DOI in IEEE Transactions on Network Science and Engineering style. No sign-up. |
| Publishes research in | Complex Network Analysis Techniques IoT and Edge/Fog Computing Distributed Control Multi-Agent Systems Privacy-Preserving Technologies in Data Opinion Dynamics and Social Influence |
| ISSN | 2327-4697 |
| Citation impact (2-yr) | 4.53 |
| h-index | 98 |
| i10-index | 1,355 |
| Top institutions publishing here | Southeast 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.
To provide fine-grained access to different dimensions of the physical world, the data uploading in smart cyber-physical systems suffers novel challenges on both energy conservation and privacy preservation. It is always critical for participants to consume as little energy as possible for data uploading. However, simply pursuing energy efficiency may lead to extreme disclosure of…
Channel state information (CSI) estimation is one of the most fundamental problems in wireless communication systems. Various methods, so far, have been developed to conduct CSI estimation. However, they usually require high computational complexity, which makes them unsuitable for 5G wireless communications due to employing many new techniques (e.g., massive MIMO, OFDM, and millimeter-Wave (mmWave)).…
Most methods proposed to uncover communities in complex networks rely on combinatorial graph properties. Usually an edge-counting quality function, such as modularity, is optimized over all partitions of the graph compared against a null random graph model. Here we introduce a systematic dynamical framework to design and analyze a wide variety of quality functions for…
In this paper, we conduct mathematical and numerical analyses for COVID-19. To predict the trend of COVID-19, we propose a time-dependent SIR model that tracks the transmission and recovering rate at time [Formula: see text]. Using the data provided by China authority, we show our one-day prediction errors are almost less than [Formula: see text].…
With the evolution of the Internet of Things (IoT), smart cities have become the mainstream of urbanization. IoT networks allow distributed smart devices to collect and process data within smart city infrastructure using an open channel, the Internet. Thus, challenges such as centralization, security, privacy (e.g., performing data poisoning and inference attacks), transparency, scalability, and…
