What is he best known for?
The fields of study he is best known for:
- Computer network
- Organic chemistry
- Telecommunications
Wei Ni spends much of his time researching Nanotechnology, Computer network, Wireless, Anode and Supercapacitor.
His study looks at the relationship between Nanotechnology and topics such as Electrochemistry, which overlap with Durability, Desalination and Material structure.
His Computer network study combines topics in areas such as Energy consumption, Spectrum management and Distributed computing.
Wei Ni combines subjects such as Quality of service, Communication channel and Base station with his study of Wireless.
His Anode study integrates concerns from other disciplines, such as Lithium-ion battery, Lithium, Tin, Energy storage and Composite number.
His Supercapacitor research is multidisciplinary, incorporating elements of Graphene and Aqueous solution.
His most cited work include:
- Needle-like Co3O4 anchored on the graphene with enhanced electrochemical performance for aqueous supercapacitors. (228 citations)
- Blockchain's adoption in IoT: The challenges, and a way forward (155 citations)
- Optimal Schedule of Mobile Edge Computing for Internet of Things Using Partial Information (124 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of investigation include Computer network, Wireless, Distributed computing, Base station and Communication channel.
His Computer network research integrates issues from Relay, Throughput and Wireless network.
His Wireless study combines topics in areas such as Network packet, Packet loss and Real-time computing.
His Distributed computing research includes themes of Efficient energy use and Server.
Base station is closely attributed to Telecommunications link in his work.
His primary area of study in Communication channel is in the field of Fading.
He most often published in these fields:
- Computer network (28.37%)
- Wireless (19.77%)
- Distributed computing (14.19%)
What were the highlights of his more recent work (between 2019-2021)?
- Computer network (28.37%)
- Real-time computing (8.84%)
- Distributed computing (14.19%)
In recent papers he was focusing on the following fields of study:
His scientific interests lie mostly in Computer network, Real-time computing, Distributed computing, Wireless and Communication channel.
Wei Ni has researched Computer network in several fields, including Transmission and Anonymity.
His research in Real-time computing intersects with topics in Trajectory, Trajectory planning, Wireless sensor network, Node and Packet loss.
His study in Distributed computing is interdisciplinary in nature, drawing from both Stochastic gradient descent, Resource allocation, Wireless power transfer, Server and Efficient energy use.
His study in Wireless focuses on Wireless network in particular.
His Communication channel study incorporates themes from Signal-to-noise ratio, Cramér–Rao bound and Network packet.
Between 2019 and 2021, his most popular works were:
- Perspectives in emerging bismuth electrochemistry (54 citations)
- Layer-structured niobium oxides and their analogues for advanced hybrid capacitors (38 citations)
- Intelligent Reflecting Surface Aided Multi-User mmWave Communications for Coverage Enhancement (28 citations)
In his most recent research, the most cited papers focused on:
- Computer network
- Organic chemistry
- Telecommunications
Wei Ni mainly investigates Real-time computing, Wireless, Computer network, Node and Fading.
His biological study spans a wide range of topics, including Packet loss, Network packet, Energy consumption, Dynamic programming and Trajectory planning.
His biological study deals with issues like Eavesdropping, which deal with fields such as Secrecy and Maximal-ratio combining.
His research integrates issues of Transmission and Privacy preserving in his study of Computer network.
In his research, Beamforming and Electronic engineering is intimately related to Extremely high frequency, which falls under the overarching field of Base station.
His studies in Overhead integrate themes in fields like Distributed computing and Blockchain.
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