What is he best known for?
The fields of study he is best known for:
- Quantum mechanics
- Optics
- Algorithm
His main research concerns Algorithm, Encryption, Optics, Fractional Fourier transform and Key.
Zhengjun Liu does research in Algorithm, focusing on Probabilistic encryption specifically.
He interconnects Pixel, Image, Theoretical computer science and Scrambling in the investigation of issues within Encryption.
Zhengjun Liu has included themes like Telecommunications and Fourier transform in his Optics study.
His work on Discrete Fourier transform, Discrete sine transform and Hartley transform as part of his general Fractional Fourier transform study is frequently connected to Affine transformation, thereby bridging the divide between different branches of science.
His studies in Key integrate themes in fields like Gyrator and Encoding.
His most cited work include:
- Double image encryption by using iterative random binary encoding in gyrator domains (214 citations)
- Double image encryption based on iterative fractional Fourier transform (194 citations)
- Color image encryption by using Arnold transform and color-blend operation in discrete cosine transform domains (161 citations)
What are the main themes of his work throughout his whole career to date?
His scientific interests lie mostly in Optics, Algorithm, Encryption, Image and Fractional Fourier transform.
The concepts of his Optics study are interwoven with issues in Image processing and Phase retrieval, Fourier transform.
His work investigates the relationship between Algorithm and topics such as Phase that intersect with problems in Amplitude and Fresnel diffraction.
In his work, Rotation is strongly intertwined with Scrambling, which is a subfield of Encryption.
As a member of one scientific family, Zhengjun Liu mostly works in the field of Image, focusing on Hyperspectral imaging and, on occasion, Spectrum.
He works mostly in the field of Fractional Fourier transform, limiting it down to topics relating to Short-time Fourier transform and, in certain cases, Digital watermarking, as a part of the same area of interest.
He most often published in these fields:
- Optics (51.18%)
- Algorithm (54.71%)
- Encryption (42.35%)
What were the highlights of his more recent work (between 2018-2021)?
- Optics (51.18%)
- Algorithm (54.71%)
- Phase retrieval (25.29%)
In recent papers he was focusing on the following fields of study:
His primary areas of study are Optics, Algorithm, Phase retrieval, Cryptosystem and Encryption.
The Optics study combines topics in areas such as Iterative reconstruction and Phase modulation.
His Algorithm research incorporates elements of Image moment, Focus and Robustness.
His Phase retrieval research incorporates themes from Convergence, Microscopy, Resolution, Artificial intelligence and Computer vision.
His Cryptosystem research also works with subjects such as
- Fractional Fourier transform, which have a strong connection to Image,
- Scrambling which is related to area like Public-key cryptography and Color image.
His Encryption study frequently intersects with other fields, such as Pixel.
Between 2018 and 2021, his most popular works were:
- Asymmetric color cryptosystem using chaotic Ushiki map and equal modulus decomposition in fractional Fourier transform domains (26 citations)
- Optical single-channel color image asymmetric cryptosystem based on hyperchaotic system and random modulus decomposition in Gyrator domains (10 citations)
- A gradient-based optical-flow cardiac motion estimation method for cine and tagged MR images (7 citations)
In his most recent research, the most cited papers focused on:
- Quantum mechanics
- Optics
- Artificial intelligence
Zhengjun Liu focuses on Algorithm, Cryptosystem, Optics, Fractional Fourier transform and Chaotic.
His Algorithm study incorporates themes from Term and Acceleration.
Cryptosystem is a subfield of Encryption that Zhengjun Liu explores.
Zhengjun Liu studied Optics and Upstream that intersect with Phase retrieval and Convergence.
The various areas that Zhengjun Liu examines in his Fractional Fourier transform study include RGB color model, Image, Grayscale and Hyperspectral imaging.
The study incorporates disciplines such as Pixel, Multispectral image and Robustness in addition to Chaotic.
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