What is he best known for?
The fields of study he is best known for:
- Computer network
- The Internet
- Artificial intelligence
His primary areas of investigation include Wireless sensor network, Server, Enhanced Data Rates for GSM Evolution, Computer security and Crowdsourcing.
Wireless sensor network is the subject of his research, which falls under Computer network.
His research integrates issues of Edge computing and Distributed computing in his study of Server.
His research on Enhanced Data Rates for GSM Evolution also deals with topics like
- Wearable computer that intertwine with fields like Backbone network, Virtualization and Service,
- Wireless which connect with Data science.
His Computer security research is multidisciplinary, incorporating perspectives in Control, Smart city and Heterogeneous network.
He interconnects Mobile device and Human–computer interaction in the investigation of issues within Crowdsourcing.
His most cited work include:
- Security and Privacy in Smart City Applications: Challenges and Solutions (235 citations)
- Serving at the Edge: A Scalable IoT Architecture Based on Transparent Computing (227 citations)
- A Survey on End-Edge-Cloud Orchestrated Network Computing Paradigms: Transparent Computing, Mobile Edge Computing, Fog Computing, and Cloudlet (159 citations)
What are the main themes of his work throughout his whole career to date?
Ju Ren mostly deals with Computer network, Server, Enhanced Data Rates for GSM Evolution, Computer security and Edge computing.
His work in the fields of Computer network, such as Wireless sensor network, overlaps with other areas such as Efficient energy use.
His study looks at the intersection of Wireless sensor network and topics like Key distribution in wireless sensor networks with Wireless ad hoc network.
He has included themes like Information privacy, Distributed computing, Mobile device and The Internet in his Server study.
His work carried out in the field of Distributed computing brings together such families of science as Channel allocation schemes and Computation offloading.
His biological study spans a wide range of topics, including Edge device and Mobile edge computing.
He most often published in these fields:
- Computer network (35.34%)
- Server (18.05%)
- Enhanced Data Rates for GSM Evolution (16.54%)
What were the highlights of his more recent work (between 2019-2021)?
- Computer network (35.34%)
- Server (18.05%)
- Enhanced Data Rates for GSM Evolution (16.54%)
In recent papers he was focusing on the following fields of study:
The scientist’s investigation covers issues in Computer network, Server, Enhanced Data Rates for GSM Evolution, Computer security and Edge computing.
His study brings together the fields of Wireless and Computer network.
His Server study incorporates themes from Online algorithm, Distributed computing and Mobile device.
The various areas that Ju Ren examines in his Enhanced Data Rates for GSM Evolution study include Bottleneck, Backhaul and Computational science.
As a member of one scientific family, he mostly works in the field of Computer security, focusing on Service provider and, on occasion, Block, Hypertext Transfer Protocol, Network service and Network security.
His studies in Edge computing integrate themes in fields like Q-learning, Stochastic optimization and Handover.
Between 2019 and 2021, his most popular works were:
- Blockchain Empowered Arbitrable Data Auditing Scheme for Network Storage as a Service (51 citations)
- Near-Optimal and Truthful Online Auction for Computation Offloading in Green Edge-Computing Systems (47 citations)
- SDN/NFV-Empowered Future IoV With Enhanced Communication, Computing, and Caching (36 citations)
In his most recent research, the most cited papers focused on:
- Computer network
- The Internet
- Artificial intelligence
Server, Computer security, Mobile device, Computer network and Service are his primary areas of study.
As a part of the same scientific family, he mostly works in the field of Server, focusing on Edge computing and, on occasion, Task and Nash equilibrium.
The concepts of his Computer security study are interwoven with issues in Adversarial system, Server-side, Mobile edge computing and Federated learning.
The study incorporates disciplines such as State, Distributed computing, Communications protocol and Communication channel in addition to Mobile device.
His study in the field of Content based networking and Multicast is also linked to topics like Multi stage and Efficient energy use.
His Service research incorporates elements of Crowdsourcing, Overhead and Encryption.
This overview was generated by a machine learning system which analysed the scientist’s
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