Fanglong Yao 編集者 at IgMin Research
Our mission is to enhance collaboration across disciplines and expedite the expansion of scientific insight.
バイオグラフィー
Fanglong Yao received the B.Sc. degree from Inner Mongolia University, Hohhot, China, in 2017, and the Ph.D. degree from the Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China, in 2022. He is currently a Post-Doctoral Researcher and assistant professor with the Aerospace Information Research Institute, Chinese Academy of Sciences. His research interests include cognitive intelligence, embodied intelligence, and swarm intelligence, including aerospace spatiotemporal data analysis; Multimodal fusion and reasoning; Embodied intelligence and multi-agent learning. He is the reviewer of the IEEE Transactions on Neural Networks and Learning Systems (TNNLS) and Artificial Intelligence Review. He has received Best Researcher Award of International Research Awards on Network Science and Graph Analytics (2023), Chinese Academy of Sciences President's Excellence Award (2022), National Scholarship (2021), Graduate Forum Report Excellence Award (2021).
研究の興味
Spatiotemporal data analysis and computer vision; Multimodal fusion and reasoning; Embodied intelligence and multi-agent learning
Editor
仕事内容
Assistant Professor
Chinese Academy of Sciences
Aerospace Information Research Institute
China
0000-0003-4187-9755 Why publish with us?
Global Visibility – Indexed in major databases
Fast Peer Review – Decision within 14–21 days
Open Access – Maximize readership and citation
Multidisciplinary Scope – Biology, Medicine and Engineering
Editorial Board Excellence – Global experts involved
University Library Indexing – Via OCLC
Permanent Archiving – CrossRef DOI
APC – Affordable APCs with discounts
Citation – High Citation Potential
現在トレンドになっている記事はどれですか？
研究論文
- Improved Energy Valley Optimizer with Levy Flight for Optimization Problems
- The Influence of Dynamical Downscaling and Boundary Layer Selection on Egypt’s Potential Evapotranspiration using a Calibrated Version of the Hargreaves-samani Equation: RegCM4 Approach
- A Unified Mobility Model for Semiconductor Devices and Sensors, Including Surface Hydrodynamic Viscosity
- A New Modification of Classification of Traumatic Patients with Pelvic Fracture
- Kinetic Study of the Removal of Reafix Yellow B8G Dye by Boiler Ash
- AFM Analysis of Polymeric Membranes Fouling
