H-Index & Metrics Best Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Environmental Sciences D-index 51 Citations 13,789 162 World Ranking 1942 National Ranking 110

Research.com Recognitions

Awards & Achievements

2008 - Fellow of the American Association for the Advancement of Science (AAAS)

Overview

What is she best known for?

The fields of study she is best known for:

  • Statistics
  • Ecology
  • Artificial intelligence

Jin Chen focuses on Remote sensing, Pixel, Thematic Mapper, Normalized Difference Vegetation Index and Vegetation. She mostly deals with Radiometry in her studies of Remote sensing. Her Pixel research integrates issues from Mixture model and Algorithm, Gaussian noise.

Her Thematic Mapper research includes themes of Cartography, Land cover, Land use, Support vector machine and Urbanization. Her work focuses on many connections between Normalized Difference Vegetation Index and other disciplines, such as Spatial ecology, that overlap with her field of interest in Vegetation cover, Vegetation fraction, Shadow, Vegetation Index and Climatology. Her Vegetation study incorporates themes from Hyperspectral imaging, Atmospheric sciences and Physical geography.

Her most cited work include:

  • A simple method for reconstructing a high-quality NDVI time-series data set based on the Savitzky-Golay filter (1112 citations)
  • A simple method for reconstructing a high-quality NDVI time-series data set based on the Savitzky-Golay filter (1112 citations)
  • Finer resolution observation and monitoring of global land cover: first mapping results with Landsat TM and ETM+ data (790 citations)

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

Jin Chen mainly investigates Remote sensing, Vegetation, Normalized Difference Vegetation Index, Pixel and Land cover. The Remote sensing study combines topics in areas such as Image resolution, Reflectivity and Moderate-resolution imaging spectroradiometer. Her studies in Vegetation integrate themes in fields like Snow, Atmospheric sciences and Phenology.

Her biological study spans a wide range of topics, including Mean squared error, Correlation coefficient and Time series. Her research in Pixel intersects with topics in Statistics and Pattern recognition. Her Land cover study incorporates themes from Change detection, Data mining and Scale.

She most often published in these fields:

  • Remote sensing (46.15%)
  • Vegetation (18.55%)
  • Normalized Difference Vegetation Index (18.10%)

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

  • Remote sensing (46.15%)
  • Vegetation (18.55%)
  • Phenology (10.41%)

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

Her primary areas of investigation include Remote sensing, Vegetation, Phenology, Normalized Difference Vegetation Index and Ground-penetrating radar. Her Remote sensing research incorporates elements of Pixel, Visible Infrared Imaging Radiometer Suite and Defense Meteorological Satellite Program. Her Vegetation study integrates concerns from other disciplines, such as Atmospheric sciences and Linear regression.

The study incorporates disciplines such as Winter wheat, Climate change, Snow, Physical geography and Spring in addition to Phenology. Her Normalized Difference Vegetation Index study also includes fields such as

  • Image resolution and related Temporal resolution, Sensor fusion and Pattern recognition,
  • Mean squared error that intertwine with fields like Land cover. Her Ground-penetrating radar research incorporates themes from Soil science and Soil water.

Between 2018 and 2021, her most popular works were:

  • An Improved Flexible Spatiotemporal DAta Fusion (IFSDAF) method for producing high spatiotemporal resolution normalized difference vegetation index time series (32 citations)
  • A simple self-adjusting model for correcting the blooming effects in DMSP-OLS nighttime light images (22 citations)
  • Measurement of soil water content using ground-penetrating radar: a review of current methods (12 citations)

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

  • Statistics
  • Ecology
  • Artificial intelligence

Her scientific interests lie mostly in Remote sensing, Image resolution, Ground-penetrating radar, Temporal resolution and Vegetation. Her studies in Remote sensing integrate themes in fields like Intensity, Regression and Spatial variability. Her Image resolution research integrates issues from Remote sensing and Data mining.

Her Temporal resolution research is multidisciplinary, relying on both Normalized Difference Vegetation Index, Artificial intelligence and Pattern recognition. Her research in Normalized Difference Vegetation Index intersects with topics in Mean squared error, Spatial analysis and Spatial heterogeneity. Her studies deal with areas such as Land cover and Phenology as well as Vegetation.

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

A simple method for reconstructing a high-quality NDVI time-series data set based on the Savitzky-Golay filter

Jin Chen;Jin Chen;Per. Jönsson;Masayuki Tamura;Zhihui Gu.
Remote Sensing of Environment (2004)

1695 Citations

Finer resolution observation and monitoring of global land cover: first mapping results with Landsat TM and ETM+ data

Peng Gong;Jie Wang;Le Yu;Yongchao Zhao.
Journal of remote sensing (2013)

1032 Citations

Global land cover mapping at 30 m resolution: A POK-based operational approach

Jun Chen;Jin Chen;Anping Liao;Xin Cao.
Isprs Journal of Photogrammetry and Remote Sensing (2015)

1010 Citations

An enhanced spatial and temporal adaptive reflectance fusion model for complex heterogeneous regions

Xiaolin Zhu;Jin Chen;Feng Gao;Xuehong Chen.
Remote Sensing of Environment (2010)

701 Citations

Analysis of NDVI and scaled difference vegetation index retrievals of vegetation fraction

Zhangyan Jiang;Alfredo R. Huete;Jin Chen;Yunhao Chen.
Remote Sensing of Environment (2006)

529 Citations

Sensitivity of the Enhanced Vegetation Index (EVI) and Normalized Difference Vegetation Index (NDVI) to Topographic Effects: A Case Study in High-Density Cypress Forest

Bunkei Matsushita;Wei Yang;Jin Chen;Yuyichi Onda.
Sensors (2007)

453 Citations

Quantifying the cool island intensity of urban parks using ASTER and IKONOS data

Xin Cao;Xin Cao;Akio Onishi;Jin Chen;Hidefumi Imura.
Landscape and Urban Planning (2010)

409 Citations

A simple and effective method for filling gaps in Landsat ETM+ SLC-off images

Jin Chen;Xiaolin Zhu;Xiaolin Zhu;James E. Vogelmann;Feng Gao.
Remote Sensing of Environment (2011)

409 Citations

Influences of temperature and precipitation before the growing season on spring phenology in grasslands of the central and eastern Qinghai-Tibetan Plateau

Miaogen Shen;Yanhong Tang;Jin Chen;Xiaolin Zhu.
Agricultural and Forest Meteorology (2011)

285 Citations

A SVM-based method to extract urban areas from DMSP-OLS and SPOT VGT data

Xin Cao;Xin Cao;Jin Chen;Jin Chen;Hidefumi Imura;Osamu Higashi.
Remote Sensing of Environment (2009)

254 Citations

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