Le’an Qu

555 citations
17 papers · 448 · h-index 8

Impact in

Papers in

    • Land Use and Ecosystem Services 7
    • Climate variability and models 2
    • Environmental Changes in China 2
    • Remote Sensing in Agriculture 9
    • Forest Insect Ecology and Management 2

Le’an Qu

17 papers receiving 436 citations

Peers

Le’an Qu
Comparison fields: 5 of 73
  • Global and Planetary Change 269
  • Environmental Engineering 88
  • Atmospheric Science 100
  • Media Technology 46
  • Water Science and Technology 67
Replace Emre Özelkan with:
Emre Özelkan Türkiye
P. Rama Chandra Prasad India
Ghali Abdullahi Abubakar China
M. Razu Ahmed Canada
Xiwang Zhang China
Yugang Tian China
Tiziana De Filippis Italy
Manik H. Kalubarme India
Le’an Qu relative to Emre Özelkan Türkiye Emre Özelkan's profile →
Citations per field
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Emre Özelkan · 1×
Citations per year

Countries citing papers authored by Le’an Qu

Since Specialization
Citations

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

Fields of papers citing papers by Le’an Qu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Le’an Qu, 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’an Qu Line = papers co-authored together Le’an Qu links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 2017140
2 2021103
3 201766
4 202233
5 201732
6 201616
7 202213
8 201711
9 20217
10 20245
11 20195
12 20245
13
Vegetation Coverage in Upper Huaihe River Basin Based on Binary Pixel Model of Remote Sensing
20124
14 20174
15 20252
16 20251
17 20221

About Le’an Qu

Le’an Qu is a scholar working on Global and Planetary Change, Ecology, Atmospheric Science, Environmental Engineering and Media Technology, having authored 17 papers that have together received 448 indexed citations. Recurring topics across this work include Remote Sensing in Agriculture (9 papers), Land Use and Ecosystem Services (7 papers), Remote Sensing and Land Use (6 papers), Remote Sensing and LiDAR Applications (4 papers), Remote-Sensing Image Classification (3 papers), Climate variability and models (2 papers), Forest Insect Ecology and Management (2 papers) and Environmental Changes in China (2 papers). The work is most often cited by research in Global and Planetary Change (269 citations), Environmental Engineering (88 citations), Atmospheric Science (100 citations), Media Technology (46 citations) and Water Science and Technology (67 citations). Le’an Qu has collaborated with scholars based in China. Frequent co-authors include Tan Chen, Shulin Deng, Manchun Li, Junjun Zhi, Zhenjie Chen, Manchun Li, Ni Yang, Dong Chen, Hui‐Ming Wang and Lei Ma. Their work appears in journals such as Chinese Geographical Science, Sustainability, Forests, Remote Sensing and IEEE Geoscience and Remote Sensing Letters.

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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