Le Wang

117 papers receiving 4.8k citations

Le Wang's Hit Papers

Deep learning for change detection in remote sensing: a review 2022 · 179 citations
1790+2+4Years since publication100200300

Peers

Le Wang
Comparison fields: 5 of 159
  • Environmental Engineering 1.7k
  • Media Technology 1.1k
  • Ecology 2.5k
  • Global and Planetary Change 1.6k
  • Geology 294
Replace Hui Lin with:
Hui Lin China
Le Yu China
Doreen S. Boyd United Kingdom
Helmi Zulhaidi Mohd Shafri Malaysia
Dirk Tiede Austria
Kasper Johansen Australia
Nicholas Clinton United States
Qiusheng Wu United States
Kass Green United States
Timothy A. Warner United States
Le Wang relative to Hui Lin China Hui Lin's profile →
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Citations per year

Countries citing papers authored by Le Wang

Since Specialization
Citations

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

Fields of papers citing papers by Le Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Le Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Le Wang Line = papers co-authored together Le Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 123 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004352
2
A review of remote sensing for mangrove forests: 1956–2018
Hit paper breakdown →
2019339
3 2004303
4
Change Detection in Multisource VHR Images via Deep Siamese Convolutional Multiple-Layers Recurrent Neural Network
Hit paper breakdown →
2019283
5 2005238
6 2008186
7 2017180
8
Deep learning for change detection in remote sensing: a review
Hit paper breakdown →
2022179
9 2019165
10 2006124
11 2020112
12 2012112
13 2020106
14 2009103
15 2009102
16 200895
17 200988
18 200777
19 201676
20 200870

About Le Wang

Le Wang is a scholar working on Ecology, Environmental Engineering, Global and Planetary Change, Media Technology and Atmospheric Science, having authored 123 papers that have together received 5.0k indexed citations. Recurring topics across this work include Remote Sensing in Agriculture (42 papers), Remote Sensing and LiDAR Applications (28 papers), Land Use and Ecosystem Services (24 papers), Remote-Sensing Image Classification (22 papers), Remote Sensing and Land Use (17 papers), Coastal wetland ecosystem dynamics (16 papers), Impact of Light on Environment and Health (9 papers) and Plant and Fungal Species Descriptions (6 papers). The work is most often cited by research in Environmental Engineering (1.7k citations), Media Technology (1.1k citations), Ecology (2.5k citations), Global and Planetary Change (1.6k citations) and Geology (294 citations). Le Wang has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Dameng Yin, Peng Gong, Gregory S. Biging, Jinyan Tian, Wayne P. Sousa, José Luis Silván-Cárdenas, Xiaomin Qiu, Shuo-sheng Wu, Mingming Jia and Xuelian Meng. Their work appears in journals such as International Journal of Remote Sensing, Remote Sensing of Environment, International Journal of Applied Earth Observation and Geoinformation, Remote Sensing and Photogrammetric Engineering & Remote Sensing.

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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