Home
Xin Huang

Xin Huang

Chinese Academy of Sciences
China

Overview

What is he best known for?

The fields of study he is best known for:

Artificial intelligence
Quantum mechanics
Organic chemistry

Xin Huang mainly investigates Artificial intelligence, Pattern recognition, Feature extraction, Hyperspectral imaging and Computer vision. His Artificial intelligence study frequently draws connections to adjacent fields such as Remote sensing. His Pattern recognition research integrates issues from Contextual image classification, Image, Pixel and Multispectral image.

His work carried out in the field of Contextual image classification brings together such families of science as Feature selection and Data set. His Feature extraction study integrates concerns from other disciplines, such as Histogram and Representation. His Hyperspectral imaging study deals with Multilinear subspace learning intersecting with Data cube.

His most cited work include:

The Relative Contribution of Jumps to Total Price Variance (606 citations)
A framework for assessing the systemic risk of major financial institutions (413 citations)
A review of biomass burning: Emissions and impacts on air quality, health and climate in China (377 citations)

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

His scientific interests lie mostly in Artificial intelligence, Pattern recognition, Remote sensing, Aerosol and Atmospheric sciences. Artificial intelligence is frequently linked to Computer vision in his study. His biological study spans a wide range of topics, including Contextual image classification, Multispectral image and Feature.

Particularly relevant to Remote sensing is his body of work in Remote sensing. His studies deal with areas such as Air pollution, Pollution and Air quality index as well as Atmospheric sciences. As part of his studies on Support vector machine, he frequently links adjacent subjects like Image resolution.

He most often published in these fields:

Artificial intelligence (13.94%)
Pattern recognition (9.56%)
Remote sensing (8.90%)

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

Atmospheric sciences (7.04%)
Aerosol (7.30%)
Theoretical computer science (3.32%)

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

His primary areas of investigation include Atmospheric sciences, Aerosol, Theoretical computer science, Air quality index and Pollution. His work deals with themes such as Planetary boundary layer, Air pollution, Radiative transfer and Ozone, which intersect with Atmospheric sciences. Xin Huang is interested in Dust storm, which is a field of Aerosol.

His biological study deals with issues like Vertex, which deal with fields such as Truss. His study brings together the fields of NOx and Air quality index. He combines topics linked to Haze with his work on Pollution.

Between 2019 and 2021, his most popular works were:

Enhanced secondary pollution offset reduction of primary emissions during COVID-19 lockdown in China (139 citations)
A survey of community search over big graphs (48 citations)
A dominant autoinflammatory disease caused by non-cleavable variants of RIPK1 (45 citations)

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

Quantum mechanics
Artificial intelligence
Organic chemistry

Xin Huang mostly deals with Atmospheric sciences, Aerosol, Pollution, Delta and Graph. His Aerosol research is multidisciplinary, incorporating elements of Air pollution, Radiative transfer, Megacity and Weather Research and Forecasting Model. His Pollution research incorporates elements of Haze and Pollutant.

Xin Huang integrates Delta with Air quality index in his research. His study in Air quality index is interdisciplinary in nature, drawing from both Yangtze river and NOx. Xin Huang works mostly in the field of Graph, limiting it down to concerns involving Theoretical computer science and, occasionally, Truss and Flow.

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

The Relative Contribution of Jumps to Total Price Variance

Xin Huang;George Tauchen.
Journal of Financial Econometrics (2005)

1054 Citations

A framework for assessing the systemic risk of major financial institutions

Xin Huang;Hao Zhou;Haibin Zhu.
Journal of Banking and Finance (2009)

772 Citations

A review of biomass burning: Emissions and impacts on air quality, health and climate in China

Jianmin Chen;Jianmin Chen;Chunlin Li;Zoran Ristovski;Andelija Milic.
Science of The Total Environment (2017)

706 Citations

Monitoring land-use change in the Pearl River Delta using Landsat TM

K. C. Seto;C. E. Woodcock;C. Song;X. Huang.
International Journal of Remote Sensing (2002)

610 Citations

Enhanced haze pollution by black carbon in megacities in China

A. J. Ding;X. Huang;W. Nie;J. N. Sun.
Geophysical Research Letters (2016)

508 Citations

Large-Area All-Textile Pressure Sensors for Monitoring Human Motion and Physiological Signals.

Mengmeng Liu;Xiong Pu;Chunyan Jiang;Ting Liu.
Advanced Materials (2017)

481 Citations

An SVM Ensemble Approach Combining Spectral, Structural, and Semantic Features for the Classification of High-Resolution Remotely Sensed Imagery

Xin Huang;Liangpei Zhang.
IEEE Transactions on Geoscience and Remote Sensing (2013)

437 Citations

Systemic risk contributions

Xin Huang;Hao Zhou;Haibin Zhu.
Research Papers in Economics (2011)

436 Citations

On Combining Multiple Features for Hyperspectral Remote Sensing Image Classification

Lefei Zhang;Liangpei Zhang;Dacheng Tao;Xin Huang.
IEEE Transactions on Geoscience and Remote Sensing (2012)

424 Citations

A high‐resolution ammonia emission inventory in China

Xin Huang;Yu Song;Mengmeng Li;Jianfeng Li.
Global Biogeochemical Cycles (2012)

416 Citations

If you think any of the details on this page are incorrect, let us know.