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Best Scientists - Electronics and Electrical Engineering
Yu-Dong Yao

Yu-Dong Yao

Stevens Institute of Technology
United States

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Discipline name Citations Publications World Ranking National Ranking

Electronics and Electrical Engineering D-index 39 Citations 7,643 217 World Ranking 2898 National Ranking 1142

Computer Science D-index 45 Citations 8,604 273 World Ranking 4589 National Ranking 2301

Overview

What are the main themes of his work throughout his whole career to date

His work on Classifier (UML) expands to the thematically related Artificial intelligence. His multidisciplinary approach integrates Histopathology and Pathology in his work. He integrates many fields in his works, including Pathology and Histopathology. His Pattern recognition (psychology) study often links to related topics such as Artificial intelligence. His research on Image (mathematics) frequently connects to adjacent areas such as Contextual image classification. The study of Contextual image classification is intertwined with the study of Image (mathematics) in a number of ways. His Machine learning study frequently draws connections to adjacent fields such as Extreme learning machine. He connects Extreme learning machine with Artificial neural network in his study. Artificial neural network and Machine learning are two areas of study in which he engages in interdisciplinary research.

Yu-Dong Yao most often published in these fields:

Artificial intelligence (100.00%)
Ensemble learning (50.00%)
Histopathology (50.00%)

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

An Adaptive Cooperation Diversity Scheme With Best-Relay Selection in Cognitive Radio Networks

Yulong Zou;Jia Zhu;Baoyu Zheng;Yu-Dong Yao.
IEEE Transactions on Signal Processing (2010)

393 Citations

Deterministic multiuser carrier-frequency offset estimation for interleaved OFDMA uplink

Zhongren Cao;U. Tureli;Yu-Dong Yao.
IEEE Transactions on Communications (2004)

347 Citations

Opportunistic Spectrum Access in Cognitive Radio Networks: Global Optimization Using Local Interaction Games

Yuhua Xu;Jinlong Wang;Qihui Wu;A. Anpalagan.
IEEE Journal of Selected Topics in Signal Processing (2012)

299 Citations

Opportunistic Spectrum Access in Unknown Dynamic Environment: A Game-Theoretic Stochastic Learning Solution

Yuhua Xu;Jinlong Wang;Qihui Wu;A. Anpalagan.
IEEE Transactions on Wireless Communications (2012)

297 Citations

An Amateur Drone Surveillance System Based on the Cognitive Internet of Things

Guoru Ding;Qihui Wu;Linyuan Zhang;Yun Lin.
IEEE Communications Magazine (2018)

281 Citations

Investigations into cochannel interference in microcellular mobile radio systems

Y.-D. Yao;A.U.H. Sheikh.
IEEE Transactions on Vehicular Technology (1992)

271 Citations

Method/apparatus for an accelerated response to resource allocation requests in a CDMA push-to-talk system using a CDMA interconnect subsystem to route calls

Yudong Yao;Grob M S;Lekven E J.
(1996)

269 Citations

Modulation Classification Based on Signal Constellation Diagrams and Deep Learning

Shengliang Peng;Hanyu Jiang;Huaxia Wang;Hathal Alwageed.
IEEE Transactions on Neural Networks (2019)

262 Citations

Outage probability analysis for microcell mobile radio systems with cochannel interferers in Rician/Rayleigh fading environment

Y.-D. Yao;A.U.H. Sheikh.
Electronics Letters (1990)

239 Citations

Spatial-Temporal Opportunity Detection for Spectrum-Heterogeneous Cognitive Radio Networks: Two-Dimensional Sensing

Qihui Wu;Guoru Ding;Jinlong Wang;Yu-Dong Yao.
IEEE Transactions on Wireless Communications (2013)

238 Citations

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Frequent Co-Authors

External Links

Personal Website for Yu-Dong Yao