What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Algorithm
- Operating system
Jeng-Shyang Pan mainly investigates Artificial intelligence, Algorithm, Mathematical optimization, Digital watermarking and Particle swarm optimization.
His Artificial intelligence research integrates issues from Machine learning and Pattern recognition.
His Algorithm research incorporates themes from Distortion and Binary number.
The concepts of his Mathematical optimization study are interwoven with issues in Process, Reduction and Benchmark.
His Digital watermarking research includes themes of Watermark, Embedding, Vector quantization, Theoretical computer science and Robustness.
In his study, Evolutionary algorithm is inextricably linked to Global optimization, which falls within the broad field of Metaheuristic.
His most cited work include:
- Genetic watermarking based on transform-domain techniques (292 citations)
- Genetic watermarking based on transform-domain techniques (292 citations)
- Diversity enhanced particle swarm optimization with neighborhood search (277 citations)
What are the main themes of his work throughout his whole career to date?
His main research concerns Artificial intelligence, Algorithm, Pattern recognition, Digital watermarking and Computer vision.
His studies in Algorithm integrate themes in fields like Wireless sensor network, Mathematical optimization and Affine transformation.
Jeng-Shyang Pan interconnects Contextual image classification and Feature in the investigation of issues within Pattern recognition.
His Digital watermarking research is multidisciplinary, incorporating elements of Watermark, Embedding, Vector quantization, Theoretical computer science and Robustness.
His Watermark study incorporates themes from Image processing and Discrete cosine transform.
His Optimization problem research incorporates elements of Particle swarm optimization and Benchmark.
He most often published in these fields:
- Artificial intelligence (39.53%)
- Algorithm (28.37%)
- Pattern recognition (21.16%)
What were the highlights of his more recent work (between 2017-2021)?
- Algorithm (28.37%)
- Benchmark (10.70%)
- Artificial intelligence (39.53%)
In recent papers he was focusing on the following fields of study:
Jeng-Shyang Pan spends much of his time researching Algorithm, Benchmark, Artificial intelligence, Mathematical optimization and Wireless sensor network.
His Global optimization study in the realm of Algorithm interacts with subjects such as Test suite.
In his research on the topic of Benchmark, Artificial neural network is strongly related with Swarm intelligence.
His Artificial intelligence research integrates issues from Computer vision and Pattern recognition.
He has included themes like Wireless, Computer engineering, Energy consumption, Cluster analysis and Node in his Wireless sensor network study.
He has researched Pixel in several fields, including Information hiding and Encryption.
Between 2017 and 2021, his most popular works were:
- Novel Systolization of Subquadratic Space Complexity Multipliers Based on Toeplitz Matrix–Vector Product Approach (77 citations)
- PaDE: An enhanced Differential Evolution algorithm with novel control parameter adaptation schemes for numerical optimization (74 citations)
- α-Fraction First Strategy for Hierarchical Model in Wireless Sensor Networks (71 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Algorithm
- Operating system
His primary areas of investigation include Algorithm, Wireless sensor network, Scheme, Test suite and Optimization problem.
His biological study spans a wide range of topics, including Information hiding, Embedding and Affine transformation.
His work deals with themes such as Wireless, Data mining, Energy consumption, Correctness and Base station, which intersect with Wireless sensor network.
His Optimization problem research includes elements of Distributed computing, Particle swarm optimization, Differential evolution and Hop.
The various areas that Jeng-Shyang Pan examines in his Mutation study include Evolutionary computation, Reduction and Benchmark.
Jeng-Shyang Pan combines subjects such as Computer vision and Artificial intelligence with his study of Encryption.
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