What is she best known for?
The fields of study she is best known for:
- Cryptography
- Algorithm
- Artificial intelligence
Her scientific interests lie mostly in Algorithm, Theoretical computer science, Encryption, Hash function and Chaotic.
In general Algorithm, her work in Cryptography is often linked to Block matrix linking many areas of study.
Her Theoretical computer science research is multidisciplinary, incorporating elements of Ciphertext-only attack, Pixel, Key schedule and Integral cryptanalysis.
Her studies in Encryption integrate themes in fields like Image, Digital image, Robustness and Permutation.
Her study in the fields of Cryptographic hash function, Collision resistance and Rolling hash under the domain of Hash function overlaps with other disciplines such as Password-authenticated key agreement.
Her Chaotic study integrates concerns from other disciplines, such as Probabilistic encryption and CHAOS.
Her most cited work include:
- An efficient and noise resistive selective image encryption scheme for gray images based on chaotic maps and DNA complementary rules (244 citations)
- Analysis and improvement of a chaos-based image encryption algorithm (204 citations)
- A novel key agreement protocol based on chaotic maps (155 citations)
What are the main themes of her work throughout her whole career to date?
Her primary scientific interests are in Algorithm, Encryption, Theoretical computer science, Image and Compressed sensing.
Her Algorithm research incorporates elements of Hash function and Chaotic.
Her Encryption research is multidisciplinary, relying on both Information hiding, Pixel, Cryptography and Robustness.
Her Theoretical computer science study combines topics from a wide range of disciplines, such as CHAOS, Chaotic map, Chebyshev filter, Ciphertext-only attack and Probabilistic encryption.
Her biological study spans a wide range of topics, including Vector quantization and Embedding.
Her Compressed sensing study combines topics in areas such as Discrete cosine transform, Computational complexity theory, Decoding methods, Stream cipher and Iterative reconstruction.
She most often published in these fields:
- Algorithm (52.43%)
- Encryption (51.46%)
- Theoretical computer science (38.83%)
What were the highlights of her more recent work (between 2019-2021)?
- Encryption (51.46%)
- Compressed sensing (26.21%)
- Decoding methods (2.91%)
In recent papers she was focusing on the following fields of study:
Encryption, Compressed sensing, Decoding methods, Real-time computing and Algorithm are her primary areas of study.
Her Encryption research incorporates themes from Information hiding and Matching.
The Compressed sensing study combines topics in areas such as Computational complexity theory, Iterative reconstruction and Cipher.
Her Iterative reconstruction study incorporates themes from Multimedia, Signal processing, Image and Sample.
She has included themes like Group of pictures and Data transmission in her Real-time computing study.
In most of her Algorithm studies, her work intersects topics such as Image compression.
Between 2019 and 2021, her most popular works were:
- Privacy-Assured FogCS: Chaotic Compressive Sensing for Secure Industrial Big Image Data Processing in Fog Computing (8 citations)
- A Novel High-Capacity Data Hiding in Encrypted Images Based on Compressive Sensing Progressive Recovery (4 citations)
- Cryptanalysis and improvement of a reversible data-hiding scheme in encrypted images by redundant space transfer (2 citations)
In her most recent research, the most cited papers focused on:
- Artificial intelligence
- Cryptography
- Algorithm
Her main research concerns Information hiding, Encryption, Least significant bit, Algorithm and Cryptanalysis.
The study incorporates disciplines such as Image quality, Decoding methods and Image processing in addition to Information hiding.
Her Encryption research includes elements of Computer vision and Compressed sensing.
Least significant bit overlaps with fields such as Redundancy and Bit plane in her research.
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