Fujitsu (China) - Concepedia

Institution (Company)

Fujitsu (China)

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Fujitsu (China)

1.6K

Publications

33K

Citations

Authors

492

Concepts

About

Fujitsu (China) is a company institution in Hong Kong, China known for engineering, optical communication, and pattern recognition.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	45	497	22.6K
2	Health Sciences	9	21	566
3	Arts	5	14	552
4	Business	5	8	166
5	Education	3	9	153

Fujitsu (China)

1.6K

Publications

33K

Citations

Page 1

	Year	Citations
41.1: A Super‐High Image Quality Multi‐Domain Vertical Alignment LCD by New Rubbing‐Less Technology Akitsu Takeda, S. Kataoka, Toru Sasaki, SID Symposium Digest of Technical Papers EngineeringDisplay TechnologyMicroscopyMva‐tft UnitsNew Rubbing‐less Technology	1998	405
Learning Residual Images for Face Attribute Manipulation Wei Shen, Rujie Liu EngineeringMachine LearningBiometricsResidual ImagesStyle Transfer	2017	289
Structure-Aware Review Mining and Summarization Fangtao Li, Chao Han, Minlie Huang,	2010	284
A New Functional, Resonant-Tunneling Hot Electron Transistor (RHET) Naoki Yokoyama, Kenichi Imamura, Shunichi Muto, Japanese Journal of Applied Physics Frequency MultiplierCategoryquantum ElectronicsElectrical EngineeringEngineeringQuantum Computing	1985	265
Multiplier-Free Intrachannel Nonlinearity Compensating Algorithm Operating at Symbol Rate Zhenning Tao, Liang Dou, Weizhen Yan, Journal of Lightwave Technology PhotonicsLink ParametersEngineeringSymbol RateOptical Transmission System	2011	238
A comparative study of advanced MOSFET concepts C. Wann, K. Noda, Tetsu Tanaka, IEEE Transactions on Electron Devices Device ModelingElectrical EngineeringDifferent Mosfet StructuresEngineeringVlsi Design	1996	236
Building fast and compact convolutional neural networks for offline handwritten Chinese character recognition Xuefeng Xiao, Lianwen Jin, Yafeng Yang, Pattern Recognition Convolutional Neural NetworkImage AnalysisMachine LearningEngineeringOptical Character Recognition	2017	168
Superpixel-Based Classification With an Adaptive Number of Classes for Polarimetric SAR Images Bin Liu, Hao Hu, Huanyu Wang, IEEE Transactions on Geoscience and Remote Sensing EngineeringMachine LearningAdaptive NumberSuperpixel-based ClassificationPolarimetric Sar Images	2012	168
Beyond human recognition: A CNN-based framework for handwritten character recognition Li Chen, Song Wang, Wei Fan, Convolutional Neural NetworkEngineeringMachine LearningChinese CharacterImage Classification	2015	154
Information Technology in Complex Health Services: Organizational Impediments to Successful Technology Transfer and Diffusion F. C. G. Southon, Christian Sauer, C. N. G. Dampney Journal of the American Medical Informatics Association	1997	149

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