What is she best known for?
The fields of study she is best known for:
- Artificial intelligence
- Machine learning
- Mathematical optimization
Her main research concerns Mathematical optimization, Differential evolution, Echo state network, Data mining and Artificial neural network.
In the field of Mathematical optimization, her study on Optimization problem and Particle swarm optimization overlaps with subjects such as Electricity generation.
Differential evolution and Consumption are two areas of study in which Lin Wang engages in interdisciplinary work.
Lin Wang has included themes like Multivariate statistics and Robustness in her Echo state network study.
The various areas that Lin Wang examines in her Data mining study include Global optimization and Pattern recognition.
Her work on Differential evolution algorithm and Back propagation neural network as part of general Artificial intelligence research is frequently linked to Point and Set, thereby connecting diverse disciplines of science.
Her most cited work include:
- Back propagation neural network with adaptive differential evolution algorithm for time series forecasting (295 citations)
- Health information privacy concerns, antecedents, and information disclosure intention in online health communities (99 citations)
- Multifactor-influenced energy consumption forecasting using enhanced back-propagation neural network (98 citations)
What are the main themes of her work throughout her whole career to date?
Lin Wang focuses on Mathematical optimization, Artificial neural network, Artificial intelligence, Differential evolution and Joint.
In her work, Supply chain is strongly intertwined with Benchmark, which is a subfield of Mathematical optimization.
Her Artificial neural network research integrates issues from Spare part, Holding cost and Inventory control.
Her study in Artificial intelligence is interdisciplinary in nature, drawing from both Machine learning and Data mining.
Her research on Differential evolution concerns the broader Algorithm.
Her research investigates the connection between Joint and topics such as Differential evolution algorithm that intersect with problems in Evolutionary algorithm.
She most often published in these fields:
- Mathematical optimization (50.67%)
- Artificial neural network (20.00%)
- Artificial intelligence (18.67%)
What were the highlights of her more recent work (between 2019-2021)?
- Mathematical optimization (50.67%)
- Artificial intelligence (18.67%)
- Echo state network (12.00%)
In recent papers she was focusing on the following fields of study:
Her primary areas of investigation include Mathematical optimization, Artificial intelligence, Echo state network, Differential evolution and Deep learning.
Her study ties her expertise on Artificial neural network together with the subject of Mathematical optimization.
As a member of one scientific family, Lin Wang mostly works in the field of Echo state network, focusing on Mean absolute percentage error and, on occasion, Price prediction.
Her study looks at the intersection of Differential evolution and topics like Joint with Travelling salesman problem and Optimization problem.
Her work in Deep learning addresses subjects such as Data mining, which are connected to disciplines such as Convolutional neural network.
Her Algorithm study deals with Time series intersecting with Computational intelligence.
Between 2019 and 2021, her most popular works were:
- Effective energy consumption forecasting using enhanced bagged echo state network (24 citations)
- Forecasting energy consumption and wind power generation using deep echo state network (23 citations)
- Effective long short-term memory with fruit fly optimization algorithm for time series forecasting (13 citations)
In her most recent research, the most cited papers focused on:
- Artificial intelligence
- Machine learning
- Mathematical optimization
Lin Wang mostly deals with Mathematical optimization, Energy consumption, Optimization algorithm, Differential evolution and Echo state network.
Her study on Energy consumption is intertwined with other disciplines of science such as Algorithm, Symmetric mean absolute percentage error, Long short term memory, Handwriting recognition and Time series.
Her studies in Optimization algorithm integrate themes in fields like Genetic algorithm, Backtracking and Joint.
Lin Wang regularly links together related areas like Stability in her Differential evolution studies.
Her Echo state network study is concerned with the larger field of Artificial intelligence.
In her work, Lin Wang performs multidisciplinary research in Reliability and Artificial neural network.
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