D-Index & Metrics Best Publications

Hai Li

Duke 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 77 Citations 30,493 465 World Ranking 319 National Ranking 167

Research.com Recognitions

Awards & Achievements

2019 - IEEE Fellow For contributions to neuromorphic computing systems

2017 - ACM Distinguished Member

2016 - ACM Senior Member

Overview

What is he best known for?

The fields of study Hai Li is best known for:

Semiconductor
Graphene
Memristor

Hai Li incorporates Artificial neural network and Convolutional neural network in his studies. In his works, Hai Li performs multidisciplinary study on Convolutional neural network and Artificial neural network. His study ties his expertise on Regularization (linguistics) together with the subject of Artificial intelligence. His Voltage study typically links adjacent topics like Memistor. Memistor is closely attributed to Voltage in his study. Layer (electronics) is often connected to Organic chemistry in his work. Organic chemistry is closely attributed to Layer (electronics) in his study. He undertakes interdisciplinary study in the fields of Synapse and Synaptic weight through his works. He undertakes interdisciplinary study in the fields of Synaptic weight and Neuroscience through his research.

His most cited work include:

Preparation and Applications of Mechanically Exfoliated Single-Layer and Multilayer MoS₂ and WSe₂ Nanosheets (1231 citations)
Learning Structured Sparsity in Deep Neural Networks (234 citations)
A Compact Memristor-Based Dynamic Synapse for Spiking Neural Networks (70 citations)

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

Neuromorphic engineering and Deep neural networks are closely tied to his Artificial neural network research. His Deep neural networks study typically links adjacent topics like Artificial neural network. Hai Li undertakes interdisciplinary study in the fields of Artificial intelligence and Deep learning through his research. He applies his multidisciplinary studies on Computer architecture and Embedded system in his research. His work blends Embedded system and Computer architecture studies together. By researching both Parallel computing and Speedup, he produces research that crosses academic boundaries. He integrates Speedup with Parallel computing in his research. Many of his studies involve connections with topics such as Dram and Computer hardware. His study on Dram is mostly dedicated to connecting different topics, such as Computer hardware.

Hai Li most often published in these fields:

Artificial intelligence (47.37%)
Artificial neural network (36.84%)
Computer architecture (36.84%)

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

Single-Layer MoS2 Phototransistors

Zongyou Yin;Hai Li;Hong Li;Lin Jiang.
ACS Nano (2012)

3335 Citations

Growth of Large-Area and Highly Crystalline MoS2 Thin Layers on Insulating Substrates

Keng Ku Liu;Wenjing Zhang;Yi Hsien Lee;Yu Chuan Lin.
Nano Letters (2012)

1990 Citations

Single‐Layer Semiconducting Nanosheets: High‐Yield Preparation and Device Fabrication

Zhiyuan Zeng;Zongyou Yin;Xiao Huang;Hai Li.
Angewandte Chemie (2011)

1691 Citations

Fabrication of Single‐ and Multilayer MoS2 Film‐Based Field‐Effect Transistors for Sensing NO at Room Temperature

Hai Li;Zongyou Yin;Qiyuan He;Hong Li.
Small (2012)

1486 Citations

Learning Structured Sparsity in Deep Neural Networks

Wei Wen;Chunpeng Wu;Yandan Wang;Yiran Chen.
neural information processing systems (2016)

1368 Citations

Preparation and Applications of Mechanically Exfoliated Single-Layer and Multilayer MoS2 and WSe2 Nanosheets

Hai Li;Jumiati Wu;Zongyou Yin;Hua Zhang.
Accounts of Chemical Research (2014)

1298 Citations

Perovskite light-emitting diodes based on spontaneously formed submicrometre-scale structures

Yu Cao;Nana Wang;He Tian;Jingshu Guo.
Nature (2018)

1277 Citations

Single-Layer MoS2-Based Nanoprobes for Homogeneous Detection of Biomolecules

Changfeng Zhu;Zhiyuan Zeng;Hai Li;Fan Li.
Journal of the American Chemical Society (2013)

975 Citations

Fabrication of flexible MoS2 thin-film transistor arrays for practical gas-sensing applications.

Qiyuan He;Zhiyuan Zeng;Zongyou Yin;Hai Li.
Small (2012)

890 Citations

Centimeter-Long and Large-Scale Micropatterns of Reduced Graphene Oxide Films: Fabrication and Sensing Applications

Qiyuan He;Herry Gunadi Sudibya;Zongyou Yin;Shixin Wu.
ACS Nano (2010)

633 Citations

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Frequent Co-Authors

External Links

Personal Website for Hai Li