What is he best known for?
The fields of study he is best known for:
- Algorithm
- Telecommunications
- Electrical engineering
The scientist’s investigation covers issues in Algorithm, Theoretical computer science, Turbo code, Electronic engineering and Multiuser detection.
Li Ping has researched Algorithm in several fields, including Transmitter and Control theory.
His Theoretical computer science study integrates concerns from other disciplines, such as Message passing, Communication channel, Factor graph, Modulation and Signal processing.
His research in Communication channel intersects with topics in Interference and Antenna.
He has included themes like Discrete mathematics and Concatenated error correction code in his Turbo code study.
His research in Electronic engineering tackles topics such as Chip which are related to areas like Convolutional code, Throughput, Computer hardware and Power control.
His most cited work include:
- Interleave division multiple-access (662 citations)
- The Factor Graph Approach to Model-Based Signal Processing (416 citations)
- Comparison of orthogonal and non-orthogonal approaches to future wireless cellular systems (235 citations)
What are the main themes of his work throughout his whole career to date?
Li Ping spends much of his time researching Algorithm, Electronic engineering, Decoding methods, Turbo code and Communication channel.
His Algorithm research is multidisciplinary, incorporating perspectives in MIMO and Theoretical computer science.
His Electronic engineering research incorporates elements of Real-time computing, Orthogonal frequency-division multiplexing and Fading.
His Decoding methods research includes elements of Coding, Bit error rate and Code.
His studies examine the connections between Turbo code and genetics, as well as such issues in Concatenated error correction code, with regards to Linear code and Error floor.
His studies in Communication channel integrate themes in fields like Linear system and Antenna.
He most often published in these fields:
- Algorithm (46.64%)
- Electronic engineering (26.88%)
- Decoding methods (22.92%)
What were the highlights of his more recent work (between 2012-2021)?
- Algorithm (46.64%)
- Communication channel (19.37%)
- MIMO (17.39%)
In recent papers he was focusing on the following fields of study:
Li Ping mainly investigates Algorithm, Communication channel, MIMO, Channel state information and Decoding methods.
The concepts of his Algorithm study are interwoven with issues in Theoretical computer science and Code.
His Communication channel research includes themes of Transmission, Throughput, Random access and Telecommunications link.
His studies deal with areas such as Relay, Computer network and Real-time computing as well as Channel state information.
His Relay study combines topics from a wide range of disciplines, such as Upper and lower bounds, Electronic engineering and Antenna.
His Decoding methods research is multidisciplinary, incorporating perspectives in Transfer function, Linear system, Minimum mean square error, Signal-to-noise ratio and Coding.
Between 2012 and 2021, his most popular works were:
- Orthogonal AMP (154 citations)
- Data-Aided Channel Estimation in Large Antenna Systems (93 citations)
- Turbo Compressed Sensing with Partial DFT Sensing Matrix (91 citations)
In his most recent research, the most cited papers focused on:
- Algorithm
- Telecommunications
- Electrical engineering
His scientific interests lie mostly in Algorithm, Communication channel, MIMO, Channel state information and Antenna.
His Algorithm research incorporates elements of Theoretical computer science and Discrete Fourier transform.
His Communication channel research includes themes of Distributed computing, Transmission, Throughput and Power transmission.
He focuses mostly in the field of Transmission, narrowing it down to matters related to Singular value decomposition and, in some cases, Decoding methods.
His Antenna research includes elements of Interference, Electronic engineering, Telecommunications link and Control theory.
His Control theory research focuses on Fading and how it connects with Computer network.
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