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Best Scientists - Electronics and Electrical Engineering
Yanzhi Wang

Yanzhi Wang

Northeastern University
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 44 Citations 7,296 338 World Ranking 2286 National Ranking 946

Computer Science D-index 46 Citations 7,792 376 World Ranking 4429 National Ranking 2214

Overview

What is he best known for?

The fields of study Yanzhi Wang is best known for:

Enzyme
Computer network
Oxygen

His Artificial intelligence research is linked to Artificial neural network, Deep learning and Convolutional neural network. Yanzhi Wang applies his multidisciplinary studies on Artificial neural network and Artificial intelligence in his research. His Quantum mechanics study often links to related topics such as Voltage. His research on Voltage often connects related areas such as Quantum mechanics. His research on Electrical engineering frequently connects to adjacent areas such as Photovoltaic system. His work in Geometry is not limited to one particular discipline; it also encompasses Reduction (mathematics). Reduction (mathematics) is frequently linked to Geometry in his study. Power (physics) is closely attributed to Energy storage in his research. His research is interdisciplinary, bridging the disciplines of Power (physics) and Energy storage.

His most cited work include:

Observation of Gravitational Waves from a Binary Black Hole Merger (8215 citations)
Incidence, Clinical Course, and Predictors of Prolonged Recovery Time Following Sport-Related Concussion in High School and College Athletes (364 citations)
A Systematic DNN Weight Pruning Framework Using Alternating Direction Method of Multipliers (196 citations)

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

Many of his Artificial intelligence research pursuits overlap with Artificial neural network, Algorithm and Machine learning. In his research, Yanzhi Wang undertakes multidisciplinary study on Algorithm and Artificial intelligence. He conducts interdisciplinary study in the fields of Organic chemistry and Physical chemistry through his works. He connects Physical chemistry with Organic chemistry in his research. He undertakes multidisciplinary investigations into Electrode and Electrochemistry in his work. Yanzhi Wang undertakes multidisciplinary investigations into Electrochemistry and Electrode in his work.

Yanzhi Wang most often published in these fields:

Artificial intelligence (31.22%)
Organic chemistry (21.46%)
Physical chemistry (19.51%)

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

GW170104: Observation of a 50-Solar-Mass Binary Black Hole Coalescence at Redshift 0.2

B. P. Abbott;R. Abbott;T. D. Abbott;F. Acernese.
Physical Review Letters (2017)

2511 Citations

Thermal transport through a one-dimensional quantum spin-1/2 chain heterostructure: The role of three-site spin interaction

H. Wu;Y. Wang;W. J. Gong;Y. Han.
European Physical Journal B (2013)

349 Citations

A Systematic DNN Weight Pruning Framework Using Alternating Direction Method of Multipliers

Tianyun Zhang;Shaokai Ye;Kaiqi Zhang;Jian Tang.
european conference on computer vision (2018)

262 Citations

Experience-driven Networking: A Deep Reinforcement Learning based Approach

Zhiyuan Xu;Jian Tang;Jingsong Meng;Weiyi Zhang.
international conference on computer communications (2018)

244 Citations

Spatiotemporal modeling and prediction in cellular networks: A big data enabled deep learning approach

Jing Wang;Jian Tang;Zhiyuan Xu;Yanzhi Wang.
international conference on computer communications (2017)

238 Citations

Deep Reinforcement Learning for Building HVAC Control

Tianshu Wei;Yanzhi Wang;Qi Zhu.
design automation conference (2017)

232 Citations

A deep reinforcement learning based framework for power-efficient resource allocation in cloud RANs

Zhiyuan Xu;Yanzhi Wang;Jian Tang;Jing Wang.
international conference on communications (2017)

225 Citations

CirCNN: accelerating and compressing deep neural networks using block-circulant weight matrices

Caiwen Ding;Siyu Liao;Yanzhi Wang;Zhe Li.
international symposium on microarchitecture (2017)

222 Citations

Task Scheduling with Dynamic Voltage and Frequency Scaling for Energy Minimization in the Mobile Cloud Computing Environment

Xue Lin;Yanzhi Wang;Qing Xie;Massoud Pedram.
IEEE Transactions on Services Computing (2015)

213 Citations

A Hierarchical Framework of Cloud Resource Allocation and Power Management Using Deep Reinforcement Learning

Ning Liu;Zhe Li;Jielong Xu;Zhiyuan Xu.
international conference on distributed computing systems (2017)

198 Citations

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Frequent Co-Authors

External Links

Personal Website for Yanzhi Wang