Deep Learning-Based Feature Representation and Its Application for Soft Sensor Modeling With Variable-Wise Weighted SAE
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doi.org/10.1109/tii.2018.2809730 →Countries where authors are citing Deep Learning-Based Feature Representation and Its Application for Soft Sensor Modeling With Variable-Wise Weighted SAE
This map shows the geographic impact of Deep Learning-Based Feature Representation and Its Application for Soft Sensor Modeling With Variable-Wise Weighted SAE. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Deep Learning-Based Feature Representation and Its Application for Soft Sensor Modeling With Variable-Wise Weighted SAE with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deep Learning-Based Feature Representation and Its Application for Soft Sensor Modeling With Variable-Wise Weighted SAE more than expected).
Fields of papers citing Deep Learning-Based Feature Representation and Its Application for Soft Sensor Modeling With Variable-Wise Weighted SAE
This network shows the impact of Deep Learning-Based Feature Representation and Its Application for Soft Sensor Modeling With Variable-Wise Weighted SAE. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Deep Learning-Based Feature Representation and Its Application for Soft Sensor Modeling With Variable-Wise Weighted SAE.
About Deep Learning-Based Feature Representation and Its Application for Soft Sensor Modeling With Variable-Wise Weighted SAE
This paper, published in 2018, received 552 indexed citations . Written by Xiaofeng Yuan, Biao Huang, Yalin Wang, Chunhua Yang and Weihua Gui covering the research area of Control and Systems Engineering and Artificial Intelligence. It is primarily cited by scholars working on Control and Systems Engineering (388 citations), Mechanical Engineering (197 citations), Artificial Intelligence (157 citations), Analytical Chemistry (63 citations) and Industrial and Manufacturing Engineering (55 citations). Published in IEEE Transactions on Industrial Informatics.
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This paper is also available at doi.org/10.1109/tii.2018.2809730.