D-Index & Metrics Best Publications

D-Index & Metrics

Discipline name D-index 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. Citations Publications World Ranking National Ranking
Materials Science D-index 82 Citations 23,381 756 World Ranking 933 National Ranking 36


What is he best known for?

The fields of study he is best known for:

  • Quantum mechanics
  • Optics
  • Composite material

Yong Liu spends much of his time researching Metallurgy, Composite material, Shape-memory alloy, Nickel titanium and Martensite. His research is interdisciplinary, bridging the disciplines of Deformation and Composite material. Yong Liu has included themes like Annealing and Condensed matter physics in his Shape-memory alloy study.

His biological study spans a wide range of topics, including Titanium alloy, Differential scanning calorimetry, Structural engineering, Deformation and Damping capacity. His Martensite study combines topics in areas such as Crystal twinning, Crystallite and Austenite. His Diffusionless transformation research is multidisciplinary, relying on both Phase, Temperature cycling and Thermodynamics.

His most cited work include:

  • Core-shell palladium [email protected] frameworks as multifunctional catalysts for cascade reactions. (440 citations)
  • Core–Shell Noble‐[email protected]‐Organic‐Framework Nanoparticles with Highly Selective Sensing Property (412 citations)
  • 3D printing of smart materials: A review on recent progresses in 4D printing (365 citations)

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

The scientist’s investigation covers issues in Optics, Composite material, Optoelectronics, Shape-memory alloy and Metallurgy. His work in Fiber laser, Wavelength, Mode-locking, Optical fiber and Dispersion-shifted fiber is related to Optics. His work deals with themes such as Thin film and Annealing, which intersect with Composite material.

His Shape-memory alloy research incorporates themes from Martensite, Pseudoelasticity, Diffusionless transformation and Stress. His studies deal with areas such as Austenite and Thermodynamics as well as Martensite. Alloy and Microstructure are subfields of Metallurgy in which his conducts study.

He most often published in these fields:

  • Optics (17.33%)
  • Composite material (15.96%)
  • Optoelectronics (14.08%)

What were the highlights of his more recent work (between 2018-2021)?

  • Optics (17.33%)
  • Optoelectronics (14.08%)
  • Artificial intelligence (5.01%)

In recent papers he was focusing on the following fields of study:

Yong Liu mainly investigates Optics, Optoelectronics, Artificial intelligence, Fiber laser and Composite material. His Modulation research extends to Optics, which is thematically connected. Yong Liu combines subjects such as Bandwidth and Microwave with his study of Optoelectronics.

His Artificial intelligence research incorporates elements of Machine learning, Computer vision and Pattern recognition. His study in Diffusionless transformation, Shape-memory alloy, Ultimate tensile strength, Deformation and Composite number is done as part of Composite material. His biological study focuses on Nickel titanium.

Between 2018 and 2021, his most popular works were:

  • AnatomyNet: Deep learning for fast and fully automated whole‐volume segmentation of head and neck anatomy (141 citations)
  • Barcoded point-of-care bioassays (43 citations)
  • Barcoded point-of-care bioassays (43 citations)

In his most recent research, the most cited papers focused on:

  • Quantum mechanics
  • Optics
  • Artificial intelligence

His primary scientific interests are in Optics, Fiber laser, Composite material, Optoelectronics and Artificial intelligence. His research investigates the connection between Fiber laser and topics such as Pulse-width modulation that intersect with problems in Dysprosium and Nanoparticle. Ultimate tensile strength, Composite number, Alloy, Compressive strength and Tensile testing are the subjects of his Composite material studies.

His research in Ultimate tensile strength intersects with topics in Flexural strength, Nickel titanium, Shape-memory alloy, Titanium alloy and Diffusionless transformation. His Shape-memory alloy study combines topics from a wide range of disciplines, such as Transformation, Microstructure and Pseudoelasticity. His work carried out in the field of Artificial intelligence brings together such families of science as Machine learning and Computer vision.

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

3D printing of smart materials: A review on recent progresses in 4D printing

Zhong Xun Khoo;Joanne Ee Mei Teoh;Yong Liu;Chee Kai Chua.
Virtual and Physical Prototyping (2015)

527 Citations

Core-shell palladium [email protected] frameworks as multifunctional catalysts for cascade reactions.

Meiting Zhao;Ke Deng;Liangcan He;Yong Liu.
Journal of the American Chemical Society (2014)

479 Citations

Core–Shell Noble‐[email protected]‐Organic‐Framework Nanoparticles with Highly Selective Sensing Property

Liangcan He;Yong Liu;Jingzhu Liu;Yansong Xiong.
Angewandte Chemie (2013)

430 Citations

Learning Entity and Relation Embeddings for Knowledge Resolution

Hailun Lin;Yong Liu;Weiping Wang;Yinliang Yue.
international conference on conceptual structures (2017)

424 Citations

Poly-ε-caprolactone/hydroxyapatite for tissue engineering scaffold fabrication via selective laser sintering

F.E. Wiria;K.F. Leong;C.K. Chua;Y. Liu.
Acta Biomaterialia (2007)

411 Citations

Asymmetry of stress–strain curves under tension and compression for NiTi shape memory alloys

Yong Liu;Z Xie;J Van Humbeeck;L Delaey.
Acta Materialia (1998)

410 Citations

Electrochemical reduction of nano-SiO2 in hard carbon as anode material for lithium ion batteries

Bingkun Guo;Jie Shu;Zhaoxiang Wang;Hong Yang.
Electrochemistry Communications (2008)

327 Citations

Two-way shape memory effect developed by martensite deformation in NiTi

Yinong Liu;Yong Liu;J Van Humbeeck.
Acta Materialia (1998)

324 Citations

Core–Shell Upconversion [email protected]–Organic Framework Nanoprobes for Luminescent/Magnetic Dual-Mode Targeted Imaging

Yantao Li;Jinglong Tang;Liangcan He;Yong Liu.
Advanced Materials (2015)

284 Citations

Si/C composites for high capacity lithium storage materials

J. Yang;B. F. Wang;K. Wang;Y. Liu.
Electrochemical and Solid State Letters (2003)

270 Citations

Best Scientists Citing Yong Liu

Yufeng Zheng

Yufeng Zheng

Peking University

Publications: 92

J. P. Zheng

J. P. Zheng

Chinese Academy of Sciences

Publications: 57

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking d-index is inferred from publications deemed to belong to the considered discipline.

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