D-Index & Metrics Best Publications

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 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
Computer Science D-index 52 Citations 9,378 336 World Ranking 3401 National Ranking 330

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Machine learning
  • Electrical engineering

Yang Yang focuses on Artificial intelligence, Hash function, Pattern recognition, Theoretical computer science and K-independent hashing. His Artificial intelligence study frequently links to related topics such as Machine learning. His Machine learning study integrates concerns from other disciplines, such as Adversarial system, Subspace topology, Modal, Classifier and Adversarial information retrieval.

The concepts of his Hash function study are interwoven with issues in Image retrieval, Visual Word and Nearest neighbor search. His Discriminative model study in the realm of Pattern recognition connects with subjects such as Matrix decomposition. His work deals with themes such as Feature hashing, Universal hashing and Dynamic perfect hashing, which intersect with K-independent hashing.

His most cited work include:

  • Treatment of 5 Critically Ill Patients With COVID-19 With Convalescent Plasma. (1257 citations)
  • Clinical and biochemical indexes from 2019-nCoV infected patients linked to viral loads and lung injury. (889 citations)
  • Experimental Treatment with Favipiravir for COVID-19: An Open-Label Control Study. (485 citations)

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

His primary areas of investigation include Artificial intelligence, Pattern recognition, Machine learning, Hash function and Information retrieval. The study of Artificial intelligence is intertwined with the study of Computer vision in a number of ways. Yang Yang interconnects Radar and Subspace topology in the investigation of issues within Pattern recognition.

His Machine learning research is multidisciplinary, relying on both Representation, Classifier and Modal. His Hash function research includes themes of Theoretical computer science and Image retrieval. Yang Yang has included themes like Semantics and Visualization in his Feature extraction study.

He most often published in these fields:

  • Artificial intelligence (47.09%)
  • Pattern recognition (21.43%)
  • Machine learning (18.25%)

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

  • Artificial intelligence (47.09%)
  • Machine learning (18.25%)
  • Pattern recognition (21.43%)

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

His scientific interests lie mostly in Artificial intelligence, Machine learning, Pattern recognition, Severe acute respiratory syndrome coronavirus 2 and Virology. His research on Artificial intelligence often connects related areas such as Modal. His studies in Machine learning integrate themes in fields like Generative grammar and Robustness.

Yang Yang studied Pattern recognition and Image retrieval that intersect with Embedding and Theoretical computer science. His Deep learning study combines topics in areas such as Hash function and Data set. His work on Hypoalbuminemia and Angiotensin II is typically connected to Bronchoalveolar lavage, Sputum and Nasal Swab as part of general Internal medicine study, connecting several disciplines of science.

Between 2019 and 2021, his most popular works were:

  • Treatment of 5 Critically Ill Patients With COVID-19 With Convalescent Plasma. (1257 citations)
  • Clinical and biochemical indexes from 2019-nCoV infected patients linked to viral loads and lung injury. (889 citations)
  • Experimental Treatment with Favipiravir for COVID-19: An Open-Label Control Study. (485 citations)

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

  • Artificial intelligence
  • Machine learning
  • Electrical engineering

His main research concerns Artificial intelligence, Severe acute respiratory syndrome coronavirus 2, Machine learning, Coronavirus and Internal medicine. His study connects Pattern recognition and Artificial intelligence. The concepts of his Pattern recognition study are interwoven with issues in Micro doppler and Bistatic radar.

His work carried out in the field of Machine learning brings together such families of science as Variety, Coarse to fine, Conditional entropy and Context knowledge. His study focuses on the intersection of Internal medicine and fields such as Gastroenterology with connections in the field of Virus and Respiratory system. In Deep learning, Yang Yang works on issues like Scalability, which are connected to Hash function.

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

Clinical and biochemical indexes from 2019-nCoV infected patients linked to viral loads and lung injury.

Yingxia Liu;Yang Yang;Cong Zhang;Cong Zhang;Fengming Huang.
Science China-life Sciences (2020)

1881 Citations

Treatment of 5 Critically Ill Patients With COVID-19 With Convalescent Plasma.

Chenguang Shen;Zhaoqin Wang;Fang Zhao;Yang Yang.
JAMA (2020)

1838 Citations

Experimental Treatment with Favipiravir for COVID-19: An Open-Label Control Study.

Qingxian Cai;Minghui Yang;Dongjing Liu;Jun Chen.
Engineering (2020)

1193 Citations

Evaluating the accuracy of different respiratory specimens in the laboratory diagnosis and monitoring the viral shedding of 2019-nCoV infections

Yang Yang;Minghui Yang;Chenguang Shen;Fuxiang Wang.
medRxiv (2020)

648 Citations

Adversarial Cross-Modal Retrieval

Bokun Wang;Yang Yang;Xing Xu;Alan Hanjalic.
acm multimedia (2017)

517 Citations

Inter-media hashing for large-scale retrieval from heterogeneous data sources

Jingkuan Song;Yang Yang;Yi Yang;Zi Huang.
international conference on management of data (2013)

513 Citations

Plasma IP-10 and MCP-3 levels are highly associated with disease severity and predict the progression of COVID-19.

Yang Yang;Chenguang Shen;Jinxiu Li;Jing Yuan.
The Journal of Allergy and Clinical Immunology (2020)

447 Citations

Learning Discriminative Binary Codes for Large-scale Cross-modal Retrieval

Xing Xu;Fumin Shen;Yang Yang;Heng Tao Shen.
IEEE Transactions on Image Processing (2017)

299 Citations

Unsupervised Deep Hashing with Similarity-Adaptive and Discrete Optimization

Fumin Shen;Yan Xu;Li Liu;Yang Yang.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2018)

294 Citations

A review on recent sizing methodologies of hybrid renewable energy systems

Jijian Lian;Yusheng Zhang;Chao Ma;Yang Yang.
Energy Conversion and Management (2019)

243 Citations

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