H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Engineering and Technology H-index 66 Citations 18,605 834 World Ranking 377 National Ranking 3

Overview

What is he best known for?

The fields of study he is best known for:

  • Gene
  • Artificial intelligence
  • Quantum mechanics

His primary areas of study are Artificial intelligence, Immunology, Machine learning, Cancer research and Nanotechnology. His works in Deep learning and Deep neural networks are all subjects of inquiry into Artificial intelligence. The concepts of his Deep learning study are interwoven with issues in Test data, Software deployment and Programming paradigm.

His Machine learning research includes elements of Software, Malware and Robustness. Cancer research and Tumor progression are frequently intertwined in his study. His Nanotechnology study combines topics in areas such as Detection limit, Biophysics and Chemical engineering.

His most cited work include:

  • TSC–mTOR maintains quiescence and function of hematopoietic stem cells by repressing mitochondrial biogenesis and reactive oxygen species (512 citations)
  • CD24 and Siglec-10 Selectively Repress Tissue Damage-Induced Immune Responses (496 citations)
  • The Therapeutic Effect of Anti-HER2/neu Antibody Depends on Both Innate and Adaptive Immunity (376 citations)

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

His main research concerns Artificial intelligence, Machine learning, Cancer research, Model checking and Distributed computing. His Artificial intelligence research incorporates elements of Computer vision and Pattern recognition. Part of his project on Model checking includes research on Theoretical computer science and Programming language.

He most often published in these fields:

  • Artificial intelligence (14.16%)
  • Machine learning (7.48%)
  • Cancer research (7.21%)

What were the highlights of his more recent work (between 2019-2021)?

  • Artificial intelligence (14.16%)
  • Machine learning (7.48%)
  • Deep learning (4.59%)

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

His primary areas of investigation include Artificial intelligence, Machine learning, Deep learning, Cancer research and Artificial neural network. His Artificial intelligence research incorporates themes from Computer vision and Pattern recognition. He interconnects Malware and Robustness in the investigation of issues within Machine learning.

Deep learning is often connected to Software in his work. His Cancer research study frequently links to related topics such as Cancer.

Between 2019 and 2021, his most popular works were:

  • Machine Learning Testing: Survey, Landscapes and Horizons (121 citations)
  • Clinical characteristics of the recovered COVID-19 patients with re-detectable positive RNA test (60 citations)
  • FakeSpotter: A Simple yet Robust Baseline for Spotting AI-Synthesized Fake Faces (38 citations)

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

  • Artificial intelligence
  • Gene
  • Quantum mechanics

His scientific interests lie mostly in Artificial intelligence, Machine learning, Deep learning, Adversarial system and Cancer research. His research integrates issues of Malware, Computer vision and Pattern recognition in his study of Artificial intelligence. His Machine learning research is multidisciplinary, relying on both Classifier and Set.

Yang Liu combines subjects such as Image synthesis, Task analysis, Source code, Software and Robustness with his study of Deep learning. His Software research integrates issues from Software deployment and Computer engineering. The various areas that he examines in his Cancer research study include Reactive oxygen species, Glutathione and Isocitrate dehydrogenase.

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.

Top Publications

TSC–mTOR maintains quiescence and function of hematopoietic stem cells by repressing mitochondrial biogenesis and reactive oxygen species

Chong Chen;Yu Liu;Runhua Liu;Tsuneo Ikenoue.
Journal of Experimental Medicine (2008)

635 Citations

CD24 and Siglec-10 Selectively Repress Tissue Damage-Induced Immune Responses

Guo-Yun Chen;Jie Tang;Pan Zheng;Yang Liu.
Science (2009)

622 Citations

The Therapeutic Effect of Anti-HER2/neu Antibody Depends on Both Innate and Adaptive Immunity

Sae Gwang Park;Sae Gwang Park;Zhujun Jiang;Eric D. Mortenson;Liufu Deng.
Cancer Cell (2010)

455 Citations

PAT: Towards Flexible Verification under Fairness

Jun Sun;Yang Liu;Jin Song Dong;Jun Pang.
computer aided verification (2009)

426 Citations

Targeting HIF1α eliminates cancer stem cells in hematological malignancies.

Yin Wang;Yan Liu;Sami N. Malek;Pan Zheng.
Cell Stem Cell (2011)

378 Citations

DeepGauge: multi-granularity testing criteria for deep learning systems

Lei Ma;Felix Juefei-Xu;Fuyuan Zhang;Jiyuan Sun.
automated software engineering (2018)

276 Citations

graph2vec: Learning Distributed Representations of Graphs

Annamalai Narayanan;Mahinthan Chandramohan;Rajasekar Venkatesan;Lihui Chen.
arXiv: Artificial Intelligence (2017)

275 Citations

FOXP3 is a novel transcriptional repressor for the breast cancer oncogene SKP2

Tao Zuo;Runhua Liu;Huiming Zhang;Xing Chang.
Journal of Clinical Investigation (2007)

270 Citations

Collaborative Security: A Survey and Taxonomy

Guozhu Meng;Yang Liu;Jie Zhang;Alexander Pokluda.
ACM Computing Surveys (2015)

245 Citations

Tendon tissue engineering using scaffold enhancing strategies.

Yang Liu;H.S. Ramanath;Dong-An Wang.
Trends in Biotechnology (2008)

240 Citations

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

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Contact us

Top Scientists Citing Yang Liu

Pan Zheng

Pan Zheng

University of Maryland, Baltimore

Publications: 61

Chengzhong Yu

Chengzhong Yu

University of Queensland

Publications: 53

Tupei Chen

Tupei Chen

Nanyang Technological University

Publications: 49

Jun Sun

Jun Sun

Singapore Management University

Publications: 38

Zhenhui Kang

Zhenhui Kang

Soochow University

Publications: 37

Yang-Xin Fu

Yang-Xin Fu

The University of Texas Southwestern Medical Center

Publications: 37

MengChu Zhou

MengChu Zhou

New Jersey Institute of Technology

Publications: 28

Haichao Wang

Haichao Wang

Feinstein Institute for Medical Research

Publications: 26

Xiaoxing Zhang

Xiaoxing Zhang

Wuhan University

Publications: 26

Zhenchang Xing

Zhenchang Xing

Australian National University

Publications: 25

Hui Huang

Hui Huang

Soochow University

Publications: 24

Yusuke Yamauchi

Yusuke Yamauchi

University of Queensland

Publications: 22

Mingxian Liu

Mingxian Liu

Tongji University

Publications: 20

David Lo

David Lo

Singapore Management University

Publications: 20

Sherene Loi

Sherene Loi

Peter MacCallum Cancer Centre

Publications: 19

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