What is he best known for?
The fields of study he is best known for:
- Computer network
- Operating system
- The Internet
His primary areas of study are Computer network, Wireless sensor network, Wireless, Real-time computing and Scalability.
Fan Ye has included themes like Exploit, Computer security and Distributed computing in his Computer network study.
His Wireless sensor network research includes elements of Key distribution in wireless sensor networks, Route filtering and Robustness.
In his research on the topic of Wireless, Wi-Fi array, Fixed wireless and Mobile computing is strongly related with Scheduling.
As a part of the same scientific study, Fan Ye usually deals with the Real-time computing, concentrating on Ranging and frequently concerns with Communications protocol and Software deployment.
The various areas that Fan Ye examines in his Scalability study include Dissemination and Flooding.
His most cited work include:
- Mobile crowdsensing: current state and future challenges (1349 citations)
- A two-tier data dissemination model for large-scale wireless sensor networks (965 citations)
- PEAS: a robust energy conserving protocol for long-lived sensor networks (885 citations)
What are the main themes of his work throughout his whole career to date?
Fan Ye mainly investigates Computer network, Distributed computing, Wireless sensor network, Scalability and Real-time computing.
His Computer network research focuses on Mobile computing in particular.
His Distributed computing research is multidisciplinary, relying on both Cloud computing, Edge device, Mobile device and Robustness.
His Wireless sensor network research incorporates elements of Wireless and Sensor node, Key distribution in wireless sensor networks, Route filtering.
His Wireless study incorporates themes from Network performance and Scheduling.
His research in Real-time computing intersects with topics in Software deployment and Simulation.
He most often published in these fields:
- Computer network (33.33%)
- Distributed computing (32.67%)
- Wireless sensor network (20.00%)
What were the highlights of his more recent work (between 2018-2021)?
- Edge computing (6.67%)
- Scalability (16.67%)
- Enhanced Data Rates for GSM Evolution (6.00%)
In recent papers he was focusing on the following fields of study:
His scientific interests lie mostly in Edge computing, Scalability, Enhanced Data Rates for GSM Evolution, Edge device and Computer security.
The concepts of his Scalability study are interwoven with issues in Probabilistic logic, Real-time computing, Location-based service and Signal processing.
Fan Ye combines subjects such as Wireless, Distributed computing, Multicast, Crowdsourcing and Linux kernel with his study of Enhanced Data Rates for GSM Evolution.
While the research belongs to areas of Distributed computing, he spends his time largely on the problem of Proof-of-stake, intersecting his research to questions surrounding Resource allocation.
He interconnects Computer network, Data stream mining, Approximation algorithm and Neighbor Discovery Protocol in the investigation of issues within Edge device.
His work blends Computer network and Relay studies together.
Between 2018 and 2021, his most popular works were:
- Resource Allocation and Consensus on Edge Blockchain in Pervasive Edge Computing Environments (13 citations)
- Fair and Efficient Caching Algorithms and Strategies for Peer Data Sharing in Pervasive Edge Computing Environments (10 citations)
- Fast and Resilient Indoor Floor Plan Construction with a Single User (6 citations)
In his most recent research, the most cited papers focused on:
- Computer network
- Operating system
- The Internet
The scientist’s investigation covers issues in Floor plan, Scalability, Edge computing, Edge device and Environmental economics.
Location-based service, Probabilistic logic, Real-time computing, Signal processing and Noise measurement are fields of study that overlap with his Floor plan research.
His Scalability research is multidisciplinary, incorporating elements of Resource allocation, Enhanced Data Rates for GSM Evolution and Distributed computing.
Fan Ye combines subjects such as Proof-of-stake, Blockchain, Computer network and Approximation algorithm with his study of Edge computing.
Fan Ye has researched Edge device in several fields, including Distributed algorithm, Wireless network, Load balancing and Facility location problem.
His Environmental economics research spans across into areas like Active learning, Crowdsensing, Atmospheric model, Set and Developing country.
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