What is he best known for?
The fields of study he is best known for:
- Computer network
- Operating system
- Artificial intelligence
His primary areas of study are Computer network, Cloud computing, Wireless sensor network, Computer security and Distributed computing.
His studies deal with areas such as Wireless and Service provider as well as Computer network.
His Cloud computing research is multidisciplinary, incorporating elements of Software deployment, Information retrieval, Encryption, Information privacy and Big data.
His Wireless sensor network research includes themes of Fault tolerance, Key distribution in wireless sensor networks and Embedded system.
His Computer security research is multidisciplinary, relying on both Trust network, Small-world network and Search algorithm.
His work carried out in the field of Distributed computing brings together such families of science as Static routing, Geographic routing and Reliability.
His most cited work include:
- Hierarchical attribute-based encryption for fine-grained access control in cloud storage services (520 citations)
- Hierarchical attribute-based encryption and scalable user revocation for sharing data in cloud servers (189 citations)
- Time-based proxy re-encryption scheme for secure data sharing in a cloud environment (153 citations)
What are the main themes of his work throughout his whole career to date?
His scientific interests lie mostly in Computer network, Computer security, Distributed computing, Wireless sensor network and Cloud computing.
His study in Mobile computing, Routing protocol, Dynamic Source Routing, Multicast and Server is carried out as part of his Computer network studies.
His study looks at the relationship between Computer security and topics such as Service provider, which overlap with Location-based service.
His Distributed computing study combines topics in areas such as Node, Wireless ad hoc network, Mobile ad hoc network and Routing.
He has included themes like Wireless, Key distribution in wireless sensor networks and Real-time computing in his Wireless sensor network study.
His Encryption research incorporates themes from Cryptography and Access control.
He most often published in these fields:
- Computer network (33.79%)
- Computer security (24.11%)
- Distributed computing (18.38%)
What were the highlights of his more recent work (between 2018-2021)?
- Computer security (24.11%)
- Cloud computing (14.03%)
- Computer network (33.79%)
In recent papers he was focusing on the following fields of study:
Computer security, Cloud computing, Computer network, Artificial intelligence and Encryption are his primary areas of study.
The study incorporates disciplines such as Service provider and Smart city in addition to Computer security.
His study in Cloud computing is interdisciplinary in nature, drawing from both Identification, Correctness, Authentication and Key.
His Computer network research incorporates elements of Wireless and Wireless ad hoc network.
His work on Ciphertext as part of general Encryption research is frequently linked to Popularity, bridging the gap between disciplines.
His Information privacy research includes elements of Server and Cryptography.
Between 2018 and 2021, his most popular works were:
- A caching and spatial K-anonymity driven privacy enhancement scheme in continuous location-based services (70 citations)
- Fog-Based Computing and Storage Offloading for Data Synchronization in IoT (65 citations)
- A Blockchain-Based Nonrepudiation Network Computing Service Scheme for Industrial IoT (57 citations)
In his most recent research, the most cited papers focused on:
- Computer network
- Operating system
- Artificial intelligence
Guojun Wang focuses on Computer network, Computer security, Cloud computing, Service provider and Overhead.
His Computer network study integrates concerns from other disciplines, such as Wireless ad hoc network and Fog computing.
Guojun Wang has researched Computer security in several fields, including Theoretical computer science and Dependability.
His studies in Cloud computing integrate themes in fields like Wireless sensor network, Information privacy, Server and Encryption.
His work on Sensor cloud is typically connected to Raw data as part of general Wireless sensor network study, connecting several disciplines of science.
His Service provider study also includes
- Service and Scalability most often made with reference to Blockchain,
- Location-based service which is related to area like Cache, k-anonymity, Anonymity, Trajectory and Range.
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