What is he best known for?
The fields of study he is best known for:
- Computer network
- Gene
- Operating system
Jie Wu mainly focuses on Computer network, Distributed computing, Wireless ad hoc network, Wireless sensor network and Wireless network.
His research in Computer network intersects with topics in Energy consumption, Relay and Wireless.
His Distributed computing research is multidisciplinary, incorporating perspectives in Redundancy, Wireless Routing Protocol, Broadcasting and Mobile computing.
Jie Wu interconnects Mobile ad hoc network, Node, Connected dominating set and Dominating set in the investigation of issues within Wireless ad hoc network.
His Mobile ad hoc network study deals with Vehicular ad hoc network intersecting with Computer security.
His research in Wireless sensor network focuses on subjects like Key distribution in wireless sensor networks, which are connected to Scheduling.
His most cited work include:
- Integrative analysis of 111 reference human epigenomes (3776 citations)
- On calculating connected dominating set for efficient routing in ad hoc wireless networks (1168 citations)
- Inhibition of the EGF-activated MAP kinase signaling pathway by adenosine 3',5'-monophosphate (824 citations)
What are the main themes of his work throughout his whole career to date?
The scientist’s investigation covers issues in Computer network, Distributed computing, Wireless sensor network, Wireless ad hoc network and Node.
As part of one scientific family, he deals mainly with the area of Computer network, narrowing it down to issues related to the Wireless network, and often Network packet.
In his study, which falls under the umbrella issue of Distributed computing, Server is strongly linked to Cloud computing.
His Wireless sensor network study incorporates themes from Wireless, Key distribution in wireless sensor networks, Real-time computing and Efficient energy use.
His research related to Optimized Link State Routing Protocol and Vehicular ad hoc network might be considered part of Wireless ad hoc network.
Jie Wu has researched Dynamic Source Routing in several fields, including Link-state routing protocol and Static routing.
He most often published in these fields:
- Computer network (34.80%)
- Distributed computing (25.57%)
- Wireless sensor network (8.93%)
What were the highlights of his more recent work (between 2017-2021)?
- Computer network (34.80%)
- Cloud computing (6.24%)
- Distributed computing (25.57%)
In recent papers he was focusing on the following fields of study:
Jie Wu mainly investigates Computer network, Cloud computing, Distributed computing, Server and Scheduling.
His work on Computer network is being expanded to include thematically relevant topics such as Path.
His Cloud computing research incorporates themes from Virtual machine, Provisioning, Resource allocation and Encryption.
His Distributed computing study often links to related topics such as Data center.
His Virtual network research extends to Server, which is thematically connected.
Jie Wu works in the field of Scheduling, focusing on Job shop scheduling in particular.
Between 2017 and 2021, his most popular works were:
- PrivacyProtector: Privacy-Protected Patient Data Collection in IoT-Based Healthcare Systems (86 citations)
- Big Data Reduction for a Smart City’s Critical Infrastructural Health Monitoring (74 citations)
- Truthful Incentive Mechanism for Nondeterministic Crowdsensing with Vehicles (47 citations)
In his most recent research, the most cited papers focused on:
- Gene
- Computer network
- Operating system
Jie Wu focuses on Computer network, Cloud computing, Neuroscience, Server and Distributed computing.
Computer network is closely attributed to Set in his study.
His work deals with themes such as Verifiable secret sharing and Encryption, which intersect with Cloud computing.
His Neuroscience research includes elements of Glutamatergic and Neurotransmission.
His Server research is multidisciplinary, relying on both Network topology, Information privacy, Topology and Virtual network.
The Distributed computing study combines topics in areas such as Edge computing and Enhanced Data Rates for GSM Evolution.
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