What is he best known for?
The fields of study he is best known for:
- Computer network
- Artificial intelligence
- Telecommunications
Kai Zeng mainly focuses on Computer network, Wireless network, Wireless, Wireless sensor network and Wireless ad hoc network.
Computer network is often connected to Cryptography in his work.
His work deals with themes such as Key generation, Lossy compression, Physical layer and Communication channel, which intersect with Wireless network.
His Throughput and Mobile ad hoc network study in the realm of Wireless connects with subjects such as Antenna gain and RSS.
His study in Wireless sensor network is interdisciplinary in nature, drawing from both Broadcast radiation and Key distribution in wireless sensor networks.
As a part of the same scientific study, Kai Zeng usually deals with the Wireless ad hoc network, concentrating on Distributed computing and frequently concerns with Energy consumption.
His most cited work include:
- Non-cryptographic authentication and identification in wireless networks [Security and Privacy in Emerging Wireless Networks] (174 citations)
- Exploiting Multiple-Antenna Diversity for Shared Secret Key Generation in Wireless Networks (169 citations)
- On Broadcast Authentication in Wireless Sensor Networks (152 citations)
What are the main themes of his work throughout his whole career to date?
His main research concerns Computer network, Wireless, Communication channel, Wireless network and Cognitive radio.
The concepts of his Computer network study are interwoven with issues in Distributed computing, Throughput and Physical layer.
He interconnects Spoofing attack, Transmission, Geographic routing, Real-time computing and Transmitter in the investigation of issues within Wireless.
His biological study spans a wide range of topics, including Key generation and Key.
Kai Zeng works mostly in the field of Wireless network, limiting it down to topics relating to Hop and, in certain cases, Spread spectrum, as a part of the same area of interest.
His work on White spaces as part of general Cognitive radio study is frequently linked to Emulation, therefore connecting diverse disciplines of science.
He most often published in these fields:
- Computer network (64.10%)
- Wireless (37.18%)
- Communication channel (31.41%)
What were the highlights of his more recent work (between 2017-2021)?
- Wireless (37.18%)
- Computer network (64.10%)
- Physical layer (19.23%)
In recent papers he was focusing on the following fields of study:
The scientist’s investigation covers issues in Wireless, Computer network, Physical layer, Communication channel and MIMO.
His Wireless research incorporates elements of Wireless sensor network, Real-time computing, Spectral efficiency and Transmission.
His work on Computer network is being expanded to include thematically relevant topics such as Security analysis.
His Physical layer research is multidisciplinary, incorporating perspectives in Spoofing attack, Key generation, Key, Encryption and Transmitter.
His work carried out in the field of Communication channel brings together such families of science as Wireless network and Cryptography.
The concepts of his Wireless network study are interwoven with issues in Intrusion detection system, Network packet and Communications system.
Between 2017 and 2021, his most popular works were:
- A Survey on Security, Privacy, and Trust in Mobile Crowdsourcing (49 citations)
- Physical-Layer Security of 5G Wireless Networks for IoT: Challenges and Opportunities (31 citations)
- Impact of Mobility on Physical Layer Security Over Wireless Fading Channels (23 citations)
In his most recent research, the most cited papers focused on:
- Computer network
- Artificial intelligence
- Telecommunications
His primary areas of investigation include Physical layer, Computer network, Communication channel, MIMO and Key.
His Physical layer study frequently intersects with other fields, such as Wireless network.
Wireless covers Kai Zeng research in Wireless network.
His Computer network study integrates concerns from other disciplines, such as Cognitive radio and Channel state information.
The study incorporates disciplines such as Key generation and Transmitter in addition to Communication channel.
His MIMO research includes themes of Real-time computing, Constant false alarm rate and Noma.
This overview was generated by a machine learning system which analysed the scientist’s
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