What is he best known for?
The fields of study he is best known for:
- Computer network
- Telecommunications
- Artificial intelligence
Ming Ding spends much of his time researching Base station, Computer network, User equipment, Spectral efficiency and Small cell.
His Base station research incorporates elements of Electronic engineering, Cellular network, Real-time computing and Transmission.
His Computer network research is multidisciplinary, incorporating perspectives in Channel state information and Heterogeneous network.
As part of his studies on User equipment, Ming Ding often connects relevant areas like Control channel.
The Spectral efficiency study combines topics in areas such as Energy consumption, Efficient energy use and Antenna.
His Small cell research is multidisciplinary, incorporating elements of Network performance and Path loss.
His most cited work include:
- Towards 1 Gbps/UE in Cellular Systems: Understanding Ultra-Dense Small Cell Deployments (381 citations)
- Survey on UAV Cellular Communications: Practical Aspects, Standardization Advancements, Regulation, and Security Challenges (249 citations)
- Performance Impact of LoS and NLoS Transmissions in Dense Cellular Networks (214 citations)
What are the main themes of his work throughout his whole career to date?
His primary scientific interests are in Base station, Computer network, Telecommunications link, User equipment and Spectral efficiency.
The concepts of his Base station study are interwoven with issues in Wireless, Network performance, Cellular network, Real-time computing and Scheduling.
His Computer network study integrates concerns from other disciplines, such as Transmission, Throughput and Heterogeneous network.
His Telecommunications link research includes elements of MIMO, Electronic engineering and Duplex.
His studies in User equipment integrate themes in fields like Control channel, Mode, Channel state information and Electrical engineering, Antenna.
His work carried out in the field of Spectral efficiency brings together such families of science as Energy consumption, Efficient energy use, Path loss and Small cell.
He most often published in these fields:
- Base station (44.64%)
- Computer network (32.65%)
- Telecommunications link (28.57%)
What were the highlights of his more recent work (between 2019-2021)?
- Distributed computing (6.63%)
- Differential privacy (3.32%)
- Server (3.06%)
In recent papers he was focusing on the following fields of study:
Ming Ding mostly deals with Distributed computing, Differential privacy, Server, Information privacy and Mobile edge computing.
Access control is a subfield of Computer network that Ming Ding explores.
His work in the fields of Computer network, such as Virtual link, overlaps with other areas such as Work.
His biological study spans a wide range of topics, including Wireless, Telecommunications link and User equipment.
In his work, Path loss is strongly intertwined with Topology, which is a subfield of User equipment.
In his study, Electronic engineering is strongly linked to Non-line-of-sight propagation, which falls under the umbrella field of Spectral efficiency.
Between 2019 and 2021, his most popular works were:
- Federated Learning With Differential Privacy: Algorithms and Performance Analysis (73 citations)
- Blockchain for 5G and beyond networks: A state of the art survey (46 citations)
- On Safeguarding Privacy and Security in the Framework of Federated Learning (33 citations)
In his most recent research, the most cited papers focused on:
- Computer network
- Telecommunications
- Artificial intelligence
Ming Ding mainly focuses on Private information retrieval, Computer security, Server, Differential privacy and Wireless.
His work in the fields of Information privacy overlaps with other areas such as Data sharing, Coronavirus, Pandemic and Use case.
His research in Server intersects with topics in Information theory, Theoretical computer science, Distributed database and Heuristic.
In his study, which falls under the umbrella issue of Differential privacy, Algorithm, Upload, Discriminative model and Generative adversarial network is strongly linked to Information leakage.
His Wireless research includes themes of Signal strength, User equipment, Base station, Real-time computing and Telecommunications link.
His work in the fields of Base station, such as Cellular communication, overlaps with other areas such as Reflective surfaces.
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.
