Jiadai Wang
Electrical and Electronic Engineering · 2019
A researcher in the Science corpus: 2 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Electrical and Electronic Engineering — 28 citations into it
- Computer Networks and Communications — 24 citations into it
Whom Jiadai Wang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Satoshi Kurosawa
- Kan Zheng
- Sherali Zeadally
- David B. Johnson
- Latif Ullah Khan
- Nei Kato
- Abdelhamid Mellouk
- Shan-zhi Chen
- Hidehisa Nakayama
- Brad Karp
Who trusts Jiadai Wang overall
Papers from Jiadai Wang's perspective
Ordered by how strongly the researchers Jiadai Wang trusts endorse each paper. Same corpus, a different order for every researcher.
- Dedicated Short-Range Communications (DSRC) Standards in the United States (Proceedings of the IEEE)
- GPSR: greedy perimeter stateless routing for wireless networks (ACM/IEEE International Conference on Mobile Computing and Networking)
- Vehicular ad hoc networks (VANETS): status, results, and challenges (Telecommunications Systems)
- VADD: Vehicle-Assisted Data Delivery in Vehicular Ad Hoc Networks (Proceedings IEEE INFOCOM 2006. 25TH IEEE International Conference on Computer Communications)
- Vehicle-to-Everything (v2x) Services Supported by LTE-Based Systems and 5G (IEEE Communications Standards Magazine)
- State-of-the-Art Deep Learning: Evolving Machine Intelligence Toward Tomorrow’s Intelligent Network Traffic Control Systems
- Detecting Blackhole Attack on AODV-based Mobile Ad Hoc Networks by Dynamic Learning Method (International Journal of Network Security)
- Massive MIMO for next generation wireless systems (IEEE Communications Magazine)
- The Deep Learning Vision for Heterogeneous Network Traffic Control: Proposal, Challenges, and Future Perspective (IEEE wireless communications)
- Heterogeneous Vehicular Networking: A Survey on Architecture, Challenges, and Solutions (IEEE Communications Surveys and Tutorials)
Their papers
- Networking and Communications in Autonomous Driving: A Survey (2019) — 450 citations
- Smart Resource Allocation for Mobile Edge Computing: A Deep Reinforcement Learning Approach (2019) — 373 citations