《Ieee Transactions On Cognitive Communications And Networking》雜志的最新年發文量為121篇。
這表明該刊在每年都會精選并發表一定數量的高質量文章，以保持其在電信學領域的學術影響力。
該刊聚焦于計算機科學-電信學領域的前沿研究，致力于推動該領域新技術和新知識的傳播與應用。同時它積極鼓勵研究人員詳細發表其高質量的實驗研究和理論成果。
該刊的平均審稿周期約為 。
Ieee Transactions On Cognitive Communications And Networking 雜志發文統計
文章名稱引用次數
- Deep Learning Models for Wireless Signal Classification With Distributed Low-Cost Spectrum Sensors55
- A Very Brief Introduction to Machine Learning With Applications to Communication Systems46
- Deep Reinforcement Learning for Dynamic Multichannel Access in Wireless Networks42
- Interplay Between NOMA and Other Emerging Technologies: A Survey21
- Energy-Efficient Resource Allocation for Energy Harvesting-Based Cognitive Machine-to-Machine Communications18
- Deep Joint Source-Channel Coding for Wireless Image Transmission15
- Deep Learning for Launching and Mitigating Wireless Jamming Attacks14
- On the Application of Blockchains to Spectrum Management13
- Deep Reinforcement Learning for Adaptive Caching in Hierarchical Content Delivery Networks13
- Deep Reinforcement Learning for Intelligent Internet of Vehicles: An Energy-Efficient Computational Offloading Scheme13
國家/地區發文量
- USA125
- CHINA MAINLAND81
- India34
- England29
- Canada28
- Finland15
- Australia14
- Italy13
- France11
- GERMANY (FED REP GER)10
