What is he best known for?
The fields of study he is best known for:
- Computer network
- Operating system
- The Internet
Hongwei Li mainly investigates Cloud computing, Server, Encryption, Database and Computer network.
The concepts of his Cloud computing study are interwoven with issues in Computer security and Deep learning.
His Server research is multidisciplinary, relying on both Cryptography, Cloud storage, Artificial intelligence, Data integrity and Information privacy.
His study explores the link between Encryption and topics such as Mobile cloud computing that cross with problems in Client-side encryption.
His research investigates the link between Database and topics such as Security analysis that cross with problems in Data deduplication, Upload, Usability and Relevance.
In the field of Computer network, his study on Hash-based message authentication code and Message authentication code overlaps with subjects such as Demand response, Load management and Distributed generation.
His most cited work include:
- Identity-Based Authentication for Cloud Computing (224 citations)
- EPPDR: An Efficient Privacy-Preserving Demand Response Scheme with Adaptive Key Evolution in Smart Grid (213 citations)
- Enabling Fine-Grained Multi-Keyword Search Supporting Classified Sub-Dictionaries over Encrypted Cloud Data (186 citations)
What are the main themes of his work throughout his whole career to date?
His primary scientific interests are in Cloud computing, Encryption, Computer security, Computer network and Security analysis.
His work carried out in the field of Cloud computing brings together such families of science as Verifiable secret sharing, Deep learning, Distributed computing and Server.
His studies in Encryption integrate themes in fields like Cryptography, Information privacy, Database and Access control.
His research investigates the connection with Computer security and areas like Overhead which intersect with concerns in Mobile device.
His work in the fields of Computer network, such as Middlebox, Deep packet inspection and Message authentication code, intersects with other areas such as Cryptographic primitive.
His Security analysis research incorporates elements of Information leakage, Private information retrieval and Public-key cryptography.
He most often published in these fields:
- Cloud computing (44.06%)
- Encryption (43.36%)
- Computer security (37.76%)
What were the highlights of his more recent work (between 2019-2021)?
- Cloud computing (44.06%)
- Encryption (43.36%)
- Artificial intelligence (16.08%)
In recent papers he was focusing on the following fields of study:
His primary scientific interests are in Cloud computing, Encryption, Artificial intelligence, Deep learning and Computer security.
His studies deal with areas such as Security analysis, Computer network, Verifiable secret sharing and Knowledge management as well as Cloud computing.
His Computer network research incorporates themes from Key and Privacy protection.
His Encryption study integrates concerns from other disciplines, such as Cluster analysis and Access control.
His Deep learning research includes themes of Homomorphic encryption, Differential privacy and Distributed computing.
The study incorporates disciplines such as Scalability and Server in addition to Computer security.
Between 2019 and 2021, his most popular works were:
- VerifyNet: Secure and Verifiable Federated Learning (72 citations)
- Efficient and Privacy-Enhanced Federated Learning for Industrial Artificial Intelligence (66 citations)
- Achieving Secure and Efficient Dynamic Searchable Symmetric Encryption over Medical Cloud Data (40 citations)
In his most recent research, the most cited papers focused on:
- Computer network
- Operating system
- The Internet
His main research concerns Artificial intelligence, Deep learning, Cloud computing, Computer security and Server.
Hongwei Li has researched Artificial intelligence in several fields, including Distributed computing, Homomorphic encryption, Information privacy and Differential privacy.
Hongwei Li combines subjects such as Artificial neural network, Correctness, Verifiable secret sharing, Protocol and Encryption with his study of Cloud computing.
Hongwei Li interconnects Security analysis and Access control in the investigation of issues within Encryption.
His study in Security analysis is interdisciplinary in nature, drawing from both Key server, Public-key cryptography, Data security and Database.
His Server study frequently draws connections between adjacent fields such as Cloud storage.
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