What is he best known for?
The fields of study he is best known for:
- Computer network
- Cryptography
- Operating system
His primary areas of investigation include Computer security, Computer network, Authentication, Public-key cryptography and Cryptography.
His research in Computer security intersects with topics in Certificate, Cloud computing and Digital signature.
The Cloud computing study which covers Cryptographic protocol that intersects with Cloud storage.
His Message authentication code study in the realm of Authentication connects with subjects such as Vehicular ad hoc network.
His Public-key cryptography study is associated with Encryption.
His Cryptography research incorporates elements of Random oracle and Secure communication.
His most cited work include:
- A Scalable Robust Authentication Protocol for Secure Vehicular Communications (223 citations)
- Balanced Trustworthiness, Safety, and Privacy in Vehicle-to-Vehicle Communications (175 citations)
- Public-Key Encryption with Fuzzy Keyword Search: A Provably Secure Scheme under Keyword Guessing Attack (136 citations)
What are the main themes of his work throughout his whole career to date?
Qianhong Wu mostly deals with Computer security, Encryption, Computer network, Public-key cryptography and Cryptography.
His Cloud computing research extends to the thematically linked field of Computer security.
His work in Encryption addresses issues such as Theoretical computer science, which are connected to fields such as Standard model, Distributed computing and Hash function.
In the subject of general Computer network, his work in Authentication, Key distribution, Cryptographic primitive and Message authentication code is often linked to Vehicular ad hoc network, thereby combining diverse domains of study.
The Authentication study combines topics in areas such as Information security and Protocol.
Qianhong Wu has included themes like Key escrow, Certificateless cryptography and Digital signature in his Cryptography study.
He most often published in these fields:
- Computer security (52.94%)
- Encryption (36.90%)
- Computer network (35.29%)
What were the highlights of his more recent work (between 2017-2021)?
- Computer security (52.94%)
- Encryption (36.90%)
- Cloud computing (15.51%)
In recent papers he was focusing on the following fields of study:
The scientist’s investigation covers issues in Computer security, Encryption, Cloud computing, Blockchain and Cryptography.
His work on Cloud storage, Public-key cryptography, Authentication and Security token as part of general Computer security study is frequently linked to TRACE, therefore connecting diverse disciplines of science.
His Encryption study incorporates themes from Key and Access control.
The various areas that Qianhong Wu examines in his Cloud computing study include Computer data storage and Upload.
Qianhong Wu combines subjects such as Payment system, Payment, Cryptocurrency, Database transaction and Computer network with his study of Blockchain.
His Cryptography research integrates issues from Group signature and Anonymity.
Between 2017 and 2021, his most popular works were:
- Bitcoin-based fair payments for outsourcing computations of fog devices (50 citations)
- Privacy-Preserving Cloud-Based Road Condition Monitoring With Source Authentication in VANETs (28 citations)
- Detecting Anomalous Behavior in Cloud Servers by Nested-Arc Hidden SEMI-Markov Model with State Summarization (16 citations)
In his most recent research, the most cited papers focused on:
- Computer network
- Cryptography
- Operating system
Qianhong Wu mainly focuses on Computer security, Encryption, Ciphertext, Cloud computing and Authentication.
His Computer security study frequently draws connections between related disciplines such as Payment.
In general Encryption study, his work on Cloud storage often relates to the realm of Data sharing, thereby connecting several areas of interest.
His Cloud computing research incorporates themes from Keyword search, Broadcast encryption and Server.
His work deals with themes such as Key management, Password, Overhead and Authorization, which intersect with Authentication.
The concepts of his Blockchain study are interwoven with issues in Cryptocurrency, Computer network and Digital signature.
This overview was generated by a machine learning system which analysed the scientist’s
body of work. If you have any feedback, you can
contact us
here.
