Changshan Wu

6.0k citations

89 papers · 4.9k indexed · 2 hit papers · h-index 32

Co-authors: Alan T. Murray Chengbin Deng Shuying Zang Miao Li Greg Rybarczyk Shanshan Li Bing Zhang Danlin Yu
Topics: Land Use and Ecosystem Services (39 papers)Urban Heat Island Mitigation (27 papers)Remote-Sensing Image Classification (21 papers)
Cited by: Environmental Engineering Global and Planetary Change Media Technology
Journals: Remote Sensing of Environment Journal of Hydrology Sensors
Partner nations: United States China Australia

In The Last Decade

Changshan Wu

89 papers receiving 4.7k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Estimating impervious surface distribution by spectral mixture analysis

2003 668 citations Changshan Wu, Alan T. Murray Remote Sensing of Environment profile →
A Review of Remote Sensing Image Classification Techniques: the Role of Spatio-contextual Information

2014 393 citations Shuying Zang, Changshan Wu et al. profile →

Peers

Countries citing papers authored by Changshan Wu

Since Specialization

Citations

This map shows the geographic impact of Changshan Wu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Changshan Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Changshan Wu more than expected).

Fields of papers citing papers by Changshan Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Changshan Wu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Changshan Wu. The network helps show where Changshan Wu may publish in the future.

Co-authorship network of co-authors of Changshan Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Changshan Wu. A scholar is included among the top collaborators of Changshan Wu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Changshan Wu. Changshan Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Development of a global 30 m impervious surface map using multisource and multitemporal remote sensing datasets with the Google Earth Engine platform 2020 ·Earth system science data ·Xiao Zhang,Liangyun Liu,Changshan Wu,Xidong Chen,Yuan Gao,Shuai Xie,Bing Zhang	222
2	Improving Impervious Surface Estimation by Using Remote Sensed Imagery Combined With Open Street Map Points-of-Interest (POI) Data 2019 ·IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing ·(unknown),Changshan Wu,Jin Wang	14
3	Examining the Deep Belief Network for Subpixel Unmixing with Medium Spatial Resolution Multispectral Imagery in Urban Environments 2019 ·Remote Sensing ·Yingbin Deng,(unknown),Changshan Wu	13
4	Detailed Urban Land Use Land Cover Classification at the Metropolitan Scale Using a Three-Layer Classification Scheme 2019 ·Sensors ·Guoyin Cai,(unknown),(unknown),Ning Zhang,Mingyi Du,Changshan Wu	42
5	Developing a Scene-Based Triangulated Irregular Network (TIN) Technique for Individual Tree Crown Reconstruction with LiDAR Data 2019 ·Forests ·(unknown),Changshan Wu	18
6	Mapping Urban Land Cover of a Large Area Using Multiple Sensors Multiple Features 2018 ·Remote Sensing ·Jike Chen,Peijun Du,Changshan Wu,Junshi Xia,Jocelyn Chanussot	25
7	Detecting spatiotemporal clusters of dementia mortality in the United States, 2000–2010 2018 ·Spatial and Spatio-temporal Epidemiology ·Wei Xu,Changshan Wu	11
8	Development of a Class-Based Multiple Endmember Spectral Mixture Analysis (C-MESMA) Approach for Analyzing Urban Environments 2016 ·Remote Sensing ·Yingbin Deng,Changshan Wu	20
9	Mapping forested wetlands in the Great Zhan River Basin through integrating optical, radar, and topographical data classification techniques 2015 ·Environmental Monitoring and Assessment ·Xiaodong Na,Shuying Zang,Changshan Wu,Wenliang Li	15
10	A geostatistical temporal mixture analysis approach to address endmember variability for estimating regional impervious surface distributions 2015 ·GIScience & Remote Sensing ·Wenliang Li,Changshan Wu	17
11	Speciation and distribution characteristics of heavy metals and pollution assessments in the sediments of Nashina Lake, Heilongjiang, China 2014 ·Ecotoxicology ·Miao Li,Shuying Zang,Haifeng Xiao,Changshan Wu	28
12	Direct georeferencing of oblique and vertical imagery in different coordinate systems 2014 ·ISPRS Journal of Photogrammetry and Remote Sensing ·(unknown),(unknown),Changshan Wu,(unknown),Zhengchao Chen,(unknown)	15
13	A spatially explicit method to examine the impact of urbanisation on natural ecosystem service values 2013 ·Journal of Spatial Science ·Wenliang Li,Changshan Wu	12
14	Modeling urban land use conversion of Daqing City, China: a comparative analysis of “top-down” and “bottom-up” approaches 2012 ·Stochastic Environmental Research and Risk Assessment ·Wenliang Li,Changshan Wu,Shuying Zang	37
15	Analyzing and modeling land use land cover change (LUCC) in the Daqing City, China 2010 ·Applied Geography ·(unknown),Shuying Zang,Changshan Wu,Wen Liu,Xiaodong Na	127
16	Quantifying high‐resolution impervious surfaces using spectral mixture analysis 2009 ·International Journal of Remote Sensing ·Changshan Wu	76
17	Population Estimation Using Landsat Enhanced Thematic Mapper Imagery 2006 ·Geographical Analysis ·Changshan Wu,Alan T. Murray	65
18	Public Health Data Collection and Sharing Using HIPAA Messages 2005 ·Journal of Medical Systems ·Min Wu,Zhao Tian,Changshan Wu	4
19	Remote sensing, geographical information systems, and spatial modeling for analyzing public transit services 2003 ·OhioLink ETD Center (Ohio Library and Information Network) ·Changshan Wu	1
20	Estimating impervious surface distribution by spectral mixture analysisbreakdown → 2003 ·Remote Sensing of Environment ·Changshan Wu,Alan T. Murray	668

About Changshan Wu

Changshan Wu is a scholar working on Environmental Engineering, Media Technology and Global and Planetary Change, having authored 89 papers that have together received 4.9k indexed citations. Recurring topics across this work include Land Use and Ecosystem Services (39 papers), Urban Heat Island Mitigation (27 papers) and Remote-Sensing Image Classification (21 papers). The work is most often cited by research in Environmental Engineering (2.1k citations), Global and Planetary Change (2.9k citations) and Media Technology (1.0k citations). Changshan Wu has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Alan T. Murray, Chengbin Deng, Shuying Zang, Miao Li, Greg Rybarczyk, Shanshan Li, Bing Zhang, Danlin Yu, Wenliang Li and Xiaodong Na. Their work appears in journals such as Remote Sensing of Environment, Journal of Hydrology and Sensors.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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