Dengsheng Lu

23.4k total citations · 6 hit papers
171 papers, 18.2k citations indexed

About

Dengsheng Lu is a scholar working on Ecology, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, Dengsheng Lu has authored 171 papers receiving a total of 18.2k indexed citations (citations by other indexed papers that have themselves been cited), including 103 papers in Ecology, 100 papers in Global and Planetary Change and 88 papers in Environmental Engineering. Recurrent topics in Dengsheng Lu's work include Remote Sensing in Agriculture (99 papers), Land Use and Ecosystem Services (84 papers) and Remote Sensing and LiDAR Applications (49 papers). Dengsheng Lu is often cited by papers focused on Remote Sensing in Agriculture (99 papers), Land Use and Ecosystem Services (84 papers) and Remote Sensing and LiDAR Applications (49 papers). Dengsheng Lu collaborates with scholars based in China, United States and Brazil. Dengsheng Lu's co-authors include Qihao Weng, Emilio F. Morán, Paul W. Mausel, Eduardo S. Brondízio, Guiying Li, Mateus Batistella, Guangxing Wang, Scott Hetrick, Wenhui Kuang and Qi Chen and has published in prestigious journals such as SHILAP Revista de lepidopterología, Remote Sensing of Environment and Journal of Environmental Management.

In The Last Decade

Dengsheng Lu

165 papers receiving 17.3k citations

Hit Papers

A survey of image classification methods and techniques f... 2003 2026 2010 2018 2007 2004 2003 2006 2014 500 1000 1.5k 2.0k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Dengsheng Lu China 59 9.5k 9.0k 8.4k 4.3k 3.9k 171 18.2k
Dar A. Roberts United States 73 10.3k 1.1× 6.6k 0.7× 10.7k 1.3× 3.7k 0.9× 3.8k 1.0× 306 20.3k
M. A. Friedl United States 74 16.8k 1.8× 8.7k 1.0× 15.9k 1.9× 6.1k 1.4× 1.9k 0.5× 176 26.5k
Curtis E. Woodcock United States 87 17.5k 1.8× 10.9k 1.2× 19.1k 2.3× 7.0k 1.6× 5.5k 1.4× 221 31.0k
David P. Roy United States 66 12.8k 1.3× 5.7k 0.6× 11.3k 1.3× 4.3k 1.0× 2.4k 0.6× 206 19.4k
Susan L. Ustin United States 77 9.0k 1.0× 6.9k 0.8× 14.7k 1.7× 2.7k 0.6× 2.2k 0.6× 329 21.1k
Russell G. Congalton United States 39 9.0k 1.0× 5.4k 0.6× 10.5k 1.2× 3.3k 0.8× 3.8k 1.0× 131 18.3k
Feng Gao United States 69 13.0k 1.4× 8.6k 1.0× 13.6k 1.6× 5.7k 1.3× 3.7k 0.9× 270 22.8k
Noel Gorelick United States 34 9.1k 1.0× 4.2k 0.5× 7.2k 0.8× 3.4k 0.8× 976 0.2× 56 16.7k
J. R. Townshend United States 37 11.8k 1.2× 5.3k 0.6× 11.1k 1.3× 4.4k 1.0× 2.5k 0.6× 85 20.6k
Patrick Hostert Germany 67 8.4k 0.9× 3.8k 0.4× 7.8k 0.9× 2.2k 0.5× 1.9k 0.5× 201 14.6k

Countries citing papers authored by Dengsheng Lu

Since Specialization
Citations

This map shows the geographic impact of Dengsheng Lu'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 Dengsheng Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dengsheng Lu more than expected).

Fields of papers citing papers by Dengsheng Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dengsheng Lu. 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 Dengsheng Lu. The network helps show where Dengsheng Lu may publish in the future.

Co-authorship network of co-authors of Dengsheng Lu

This figure shows the co-authorship network connecting the top 25 collaborators of Dengsheng Lu. A scholar is included among the top collaborators of Dengsheng Lu 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 Dengsheng Lu. Dengsheng Lu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
2.
Li, Guiying, et al.. (2025). Spatiotemporal patterns of annual clear-cutting distribution in tropical and subtropical regions of China with time series Landsat and CCDC. Geo-spatial Information Science. 28(6). 2763–2780. 1 indexed citations
3.
Li, Guiying, et al.. (2025). Modeling Moso Bamboo Tree Density and Aboveground Biomass Using Multi-Site UAV-LiDAR Data. Remote Sensing. 18(1). 115–115.
4.
Li, Dengqiu, et al.. (2024). Vegetation classification in a subtropical region with Sentinel-2 time series data and deep learning. Geo-spatial Information Science. 28(1). 145–163. 6 indexed citations
5.
Li, Guiying, et al.. (2024). Developing a New Method to Rapidly Map Eucalyptus Distribution in Subtropical Regions Using Sentinel-2 Imagery. Forests. 15(10). 1799–1799. 2 indexed citations
6.
Li, Dengqiu, et al.. (2023). Integration of Landsat time-series vegetation indices improves consistency of change detection. International Journal of Digital Earth. 16(1). 1276–1299. 15 indexed citations
8.
Li, Dengqiu, Dengsheng Lu, Emilio F. Morán, & Ramón Silva. (2020). Examining Water Area Changes Accompanying Dam Construction in the Madeira River in the Brazilian Amazon. Water. 12(7). 1921–1921. 14 indexed citations
9.
Li, Guiying, et al.. (2020). Modeling Forest Aboveground Carbon Density in the Brazilian Amazon with Integration of MODIS and Airborne LiDAR Data. Remote Sensing. 12(20). 3330–3330. 8 indexed citations
10.
Lu, Dengsheng, Longwei Li, Guiying Li, et al.. (2018). Examining Spatial Patterns of Urban Distribution and Impacts of Physical Conditions on Urbanization in Coastal and Inland Metropoles. Remote Sensing. 10(7). 1101–1101. 25 indexed citations
11.
Lu, Dengsheng, et al.. (2018). Examining impacts of the Belo Monte hydroelectric dam construction on land-cover changes using multitemporal Landsat imagery. Applied Geography. 97. 35–47. 49 indexed citations
12.
Li, Guiying, et al.. (2018). Examining deforestation and agropasture dynamics along the Brazilian TransAmazon Highway using multitemporal Landsat imagery. GIScience & Remote Sensing. 56(2). 161–183. 17 indexed citations
13.
Pan, Tao, Dengsheng Lu, Chi Zhang, et al.. (2017). Urban Land-Cover Dynamics in Arid China Based on High-Resolution Urban Land Mapping Products. Remote Sensing. 9(7). 730–730. 19 indexed citations
15.
Zhao, Panpan, Dengsheng Lu, Guangxing Wang, et al.. (2016). Examining Spectral Reflectance Saturation in Landsat Imagery and Corresponding Solutions to Improve Forest Aboveground Biomass Estimation. Remote Sensing. 8(6). 469–469. 208 indexed citations
16.
Zhang, Chi, Yaoliang Chen, & Dengsheng Lu. (2015). Mapping the land-cover distribution in arid and semiarid urban landscapes with Landsat Thematic Mapper imagery. International Journal of Remote Sensing. 36(17). 4483–4500. 30 indexed citations
17.
Lu, Dengsheng, Mateus Batistella, & Emilio F. Morán. (2014). Detecting Amazonian deforestation using multitemporal thematic mapper imageries and spectral mixture analysis.. Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT). 1 indexed citations
18.
Lu, Dengsheng, Guiying Li, Wenhui Kuang, & Emilio F. Morán. (2013). Methods to extract impervious surface areas from satellite images. International Journal of Digital Earth. 7(2). 93–112. 123 indexed citations
19.
Weng, Qihao & Dengsheng Lu. (2009). Landscape as a continuum: an examination of the urban landscape structures and dynamics of Indianapolis City, 1991–2000, by using satellite images. International Journal of Remote Sensing. 30(10). 2547–2577. 51 indexed citations
20.
Lu, Dengsheng, Qihao Weng, & Guiying Li. (2006). Residential population estimation using a remote sensing derived impervious surface approach. International Journal of Remote Sensing. 27(16). 3553–3570. 103 indexed citations

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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