《Automation In Construction》雜志的最新年發文量為436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，以保持其在結構與建筑技術領域的學術影響力。
該刊聚焦于工程技術-結構與建筑技術領域的前沿研究，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 約12.0個月 約23.4周。
Automation In Construction 雜志發文統計
文章名稱引用次數
- Autonomous concrete crack detection using deep fully convolutional neural network81
- A critical review of virtual and augmented reality (VR/AR) applications in construction safety64
- A deep hybrid learning model to detect unsafe behavior: Integrating convolution neural networks and long short-term memory44
- Critical evaluation of off-site construction research: A Scientometric analysis42
- A review of building information modeling (BIM) and the internet of things (IoT) devices integration: Present status and future trends40
- Wearable technology for personalized construction safety monitoring and trending: Review of applicable devices39
- Detecting non-hardhat-use by a deep learning method from far -field surveillance videos38
- An Internet of Things-enabled BIM platform for on-site assembly services in prefabricated construction37
- Building Information Modeling (BIM) for transportation infrastructure - Literature review, applications, challenges, and recommendations35
- Computer vision-based concrete crack detection using U-net fully convolutional networks34
國家/地區發文量
- CHINA MAINLAND299
- USA216
- Australia80
- South Korea79
- Canada74
- England72
- Singapore49
- GERMANY (FED REP GER)45
- Spain42
- Italy28
