What is he best known for?
The fields of study he is best known for:
- Computer network
- Artificial intelligence
- The Internet
His scientific interests lie mostly in Computer network, Distributed computing, Wireless, Wireless network and Real-time computing.
His Computer network study incorporates themes from Wireless ad hoc network and Video quality.
His Distributed computing research incorporates themes from MIMO, Scheduling, Mobile computing and Greedy algorithm.
His work deals with themes such as Quality of service, Cognitive radio, Destination-Sequenced Distance Vector routing, Testbed and Coding, which intersect with Wireless network.
His work carried out in the field of Real-time computing brings together such families of science as Channel state information, Orthogonal frequency-division multiplexing and Implementation.
His research in Smart grid intersects with topics in Data center, Data science and Big data.
His most cited work include:
- Big Data: A Survey (1645 citations)
- CSI-Based Fingerprinting for Indoor Localization: A Deep Learning Approach (479 citations)
- Video transport over ad hoc networks: multistream coding with multipath transport (270 citations)
What are the main themes of his work throughout his whole career to date?
Shiwen Mao focuses on Computer network, Distributed computing, Wireless network, Real-time computing and Wireless.
His Computer network research includes themes of Cognitive radio, Communication channel, Wireless ad hoc network and Throughput.
His biological study spans a wide range of topics, including Wireless mesh network, Resource allocation and Multipath routing.
His studies deal with areas such as Wireless sensor network and Power control as well as Wireless network.
The concepts of his Real-time computing study are interwoven with issues in Scheduling, Channel state information and Mobile device.
His studies in Scheduling integrate themes in fields like Mathematical optimization and Smart grid.
He most often published in these fields:
- Computer network (43.97%)
- Distributed computing (22.79%)
- Wireless network (18.77%)
What were the highlights of his more recent work (between 2019-2021)?
- Real-time computing (17.69%)
- Artificial intelligence (7.77%)
- Deep learning (4.56%)
In recent papers he was focusing on the following fields of study:
Shiwen Mao mainly focuses on Real-time computing, Artificial intelligence, Deep learning, Wireless network and Wireless.
Shiwen Mao has included themes like Software deployment, Channel state information, Mobile device and Respiration rate in his Real-time computing study.
His study in Wireless network is interdisciplinary in nature, drawing from both Scalability, Distributed computing, Neighbor Discovery Protocol, Optimization problem and Reinforcement learning.
The study incorporates disciplines such as Enhanced Data Rates for GSM Evolution and Logical reasoning in addition to Distributed computing.
His study on Wireless also encompasses disciplines like
- Bandwidth allocation, which have a strong connection to Nonlinear programming, Base station, Throughput and Radio spectrum,
- Frequency band that connect with fields like Scheduling.
Shiwen Mao focuses mostly in the field of Heterogeneous network, narrowing it down to topics relating to Computer network and, in certain cases, Virtual reality.
Between 2019 and 2021, his most popular works were:
- Deep Convolutional Neural Networks for Indoor Localization with CSI Images (60 citations)
- Privacy Protection and Intrusion Avoidance for Cloudlet-Based Medical Data Sharing (40 citations)
- Dynamic Spectrum Interaction of UAV Flight Formation Communication With Priority: A Deep Reinforcement Learning Approach (25 citations)
In his most recent research, the most cited papers focused on:
- Computer network
- The Internet
- Artificial intelligence
His primary scientific interests are in Real-time computing, Artificial intelligence, Mobile device, Artificial neural network and Deep learning.
His Real-time computing research includes elements of Respiration rate and Ultra high frequency.
His Mobile device study combines topics in areas such as RSS, Phase, Software deployment and Channel state information.
As part of one scientific family, Shiwen Mao deals mainly with the area of Phase, narrowing it down to issues related to the Orthogonal frequency-division multiplexing, and often Convolutional neural network and Wireless.
Wireless network is the focus of his Wireless research.
His Deep learning research is multidisciplinary, relying on both Signal, Communications system and Pattern recognition.
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