What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Machine learning
- Statistics
His primary areas of study are Data mining, Artificial intelligence, Group analysis, Decision analysis and Machine learning.
As a member of one scientific family, he mostly works in the field of Data mining, focusing on Quality of service and, on occasion, Customer satisfaction and Similarity.
His work in Artificial intelligence is not limited to one particular discipline; it also encompasses Econometrics.
The Group analysis study combines topics in areas such as Attributive, Process, Selection and Identification.
He interconnects Fuzzy logic, Electrical load and Cluster analysis in the investigation of issues within Process.
His studies deal with areas such as Nonlinear programming and Problem domain as well as Selection.
His most cited work include:
- A review of electric load classification in smart grid environment (138 citations)
- Energy Internet: The business perspective (118 citations)
- Combining QoS prediction and customer satisfaction estimation to solve cloud service trustworthiness evaluation problems (97 citations)
What are the main themes of his work throughout his whole career to date?
Shanlin Yang spends much of his time researching Mathematical optimization, Artificial intelligence, Real-time computing, Job shop scheduling and Field.
Shanlin Yang has included themes like Space and Computational intelligence in his Mathematical optimization study.
His Artificial intelligence research is multidisciplinary, incorporating perspectives in Data mining, Identification, Machine learning, Process and Pattern recognition.
His Data mining study combines topics in areas such as Mains electricity and Support vector machine.
His study looks at the relationship between Machine learning and fields such as Decision analysis, as well as how they intersect with chemical problems.
Shanlin Yang combines subjects such as Group analysis and Selection with his study of Process.
He most often published in these fields:
- Mathematical optimization (28.11%)
- Artificial intelligence (20.74%)
- Real-time computing (15.21%)
What were the highlights of his more recent work (between 2019-2021)?
- Mathematical optimization (28.11%)
- Group decision-making (13.36%)
- Computational intelligence (9.68%)
In recent papers he was focusing on the following fields of study:
His main research concerns Mathematical optimization, Group decision-making, Computational intelligence, Job shop scheduling and Field.
His work on Dynamic programming as part of his general Mathematical optimization study is frequently connected to Set cover problem, thereby bridging the divide between different branches of science.
His Group decision-making research is multidisciplinary, incorporating elements of Preference, Data mining, Ranking, Decision problem and Operations research.
The concepts of his Field study are interwoven with issues in Algorithm, Optimization problem and Real-time computing.
He has researched Selection in several fields, including Preference relation, Preference, Artificial intelligence, Machine learning and Process.
His Machine learning research incorporates elements of Multiple-criteria decision analysis and Interval.
Between 2019 and 2021, his most popular works were:
- Multiple criteria group decision making based on group satisfaction (16 citations)
- Multiple criteria group decision making based on group satisfaction (16 citations)
- Comparison of Evidential Reasoning Algorithm with Linear Combination in Decision Making (11 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Statistics
- Machine learning
Shanlin Yang mostly deals with Group decision-making, Mathematical optimization, Operations research, Reliability and Decision problem.
His Group decision-making research is multidisciplinary, relying on both Semantics, Style, Preference and Pairwise comparison.
His research on Mathematical optimization focuses in particular on Hybrid algorithm.
His Operations research research includes elements of Key, Decision support system, Rank correlation and Measure.
His studies in Reliability integrate themes in fields like Variation, Group analysis and Process.
His work deals with themes such as Context, Preference, Consistency, Probabilistic logic and Fuzzy logic, which intersect with Decision problem.
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