Seongah Jeong
Aerospace Engineering · 2016
A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 5 researchers here, as inferred from the citation graph.
Subfields
- Aerospace Engineering — 8 citations into it; #2,730 of 6,421 by trust here, #2,734 by citations
- Computer Networks and Communications — 8 citations into it; #4,642 of 9,886 by trust here, #3,862 by citations
- Electrical and Electronic Engineering — 7 citations into it; #6,008 of 16,539 by trust here, #8,627 by citations
Whom Seongah Jeong trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Seongah Jeong overall
- Yong Zeng
- Qingqing Wu
- Nan Cheng
- Shuowen Zhang
- Rui Zhang
- Zhaohui Yang
- Xiaoyan Hu
- Yunlong Lu
- Hadeel Elayan
- Qiyu Hu
Papers from Seongah Jeong's perspective
Ordered by how strongly the researchers Seongah Jeong trusts endorse each paper. Same corpus, a different order for every researcher.
- Wireless communications with unmanned aerial vehicles: opportunities and challenges (IEEE Communications Magazine)
- Throughput Maximization for UAV-Enabled Mobile Relaying Systems (IEEE Transactions on Communications)
- Drone Small Cells in the Clouds: Design, Deployment and Performance Analysis (Global Communications Conference)
- Wireless Relay Communications with Unmanned Aerial Vehicles: Performance and Optimization (IEEE Transactions on Aerospace and Electronic Systems)
- Energy-Efficient UAV Communication With Trajectory Optimization (IEEE Transactions on Wireless Communications)
- A message ferrying approach for data delivery in sparse mobile ad hoc networks (ACM Interational Symposium on Mobile Ad Hoc Networking and Computing)
- Vehicle Routing Problems for Drone Delivery (IEEE Transactions on Systems, Man & Cybernetics. Systems)
- System-level performance evaluation of downlink non-orthogonal multiple access (NOMA) (IEEE International Symposium on Personal, Indoor and Mobile Radio Communications)
- Fog Computing: A Platform for Internet of Things and Analytics (Big Data and Internet of Things)
- Energy-efficient soft real-time CPU scheduling for mobile multimedia systems (Symposium on Operating Systems Principles)