What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Gene
- Organic chemistry
His main research concerns Artificial intelligence, Pattern recognition, Computer vision, Feature extraction and Sparse approximation.
In his work, Data mining is strongly intertwined with Machine learning, which is a subfield of Artificial intelligence.
Lei Zhang focuses mostly in the field of Pattern recognition, narrowing it down to topics relating to Image and, in certain cases, Noise reduction.
His research integrates issues of Norm and Dimensionality reduction in his study of Facial recognition system.
Lei Zhang has included themes like Matching and Orientation in his Biometrics study.
The various areas that Lei Zhang examines in his Image resolution study include Kernel and Superresolution.
His most cited work include:
- Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising (2693 citations)
- FSIM: A Feature Similarity Index for Image Quality Assessment (2515 citations)
- Sparse representation or collaborative representation: Which helps face recognition? (1573 citations)
What are the main themes of his work throughout his whole career to date?
His primary scientific interests are in Artificial intelligence, Pattern recognition, Computer vision, Optoelectronics and Optics.
His study ties his expertise on Machine learning together with the subject of Artificial intelligence.
His work carried out in the field of Pattern recognition brings together such families of science as Pixel, Facial recognition system and Feature.
Lei Zhang studies Computer vision, namely Biometrics.
Fiber laser and Laser are the primary areas of interest in his Optics study.
He most often published in these fields:
- Artificial intelligence (34.82%)
- Pattern recognition (21.10%)
- Computer vision (12.50%)
What were the highlights of his more recent work (between 2019-2021)?
- Artificial intelligence (34.82%)
- Pattern recognition (21.10%)
- Computer vision (12.50%)
In recent papers he was focusing on the following fields of study:
His scientific interests lie mostly in Artificial intelligence, Pattern recognition, Computer vision, Deep learning and Convolutional neural network.
His Artificial intelligence study frequently draws parallels with other fields, such as Machine learning.
Feature learning is the focus of his Machine learning research.
Lei Zhang has researched Pattern recognition in several fields, including Pixel and Benchmark.
His studies link Code with Artificial neural network.
Between 2019 and 2021, his most popular works were:
- Addendum: A pneumonia outbreak associated with a new coronavirus of probable bat origin. (144 citations)
- Modelling the epidemic trend of the 2019 novel coronavirus outbreak in China (132 citations)
- CD147-spike protein is a novel route for SARS-CoV-2 infection to host cells. (87 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Gene
- Organic chemistry
The scientist’s investigation covers issues in Artificial intelligence, Pattern recognition, Deep learning, Feature extraction and Computer vision.
He frequently studies issues relating to Machine learning and Artificial intelligence.
His work deals with themes such as Image resolution and Benchmark, which intersect with Machine learning.
His biological study spans a wide range of topics, including Ground truth, Normalization, Pooling and Metric.
His Deep learning research includes elements of Normalization, Statistical physics, Algorithm and Identification.
Lei Zhang has included themes like Mixture model, Nonlinear dimensionality reduction, Subspace topology and Robustness in his Feature extraction study.
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