Linlin Lu

4.6k citations
119 papers · 3.4k indexed · 1 hit paper · h-index 35

Impact in

Papers in

Linlin Lu

114 papers receiving 3.3k citations

Hit Papers

A Global Human Settlement Layer From Optical HR/VHR RS Data: Concept and First Results 2013 · 344 citations
3442013202620172021100200300

Peers

Linlin Lu
Comparison fields: 5 of 146
  • Global and Planetary Change 1.9k
  • Environmental Engineering 1.1k
  • Ecological Modeling 200
  • Ecology 1.1k
  • Atmospheric Science 672
Replace Jay Gao with:
Jay Gao New Zealand
Xin Cao China
Fengsong Pei China
Swades Pal India
Manjula Ranagalage Sri Lanka
Susanta Mahato India
Miao Liu China
Peng Shu China
Linlin Lu relative to Jay Gao New Zealand Jay Gao's profile →
Citations per field
00.5×1.5×
Jay Gao · 1×
Citations per year

Countries citing papers authored by Linlin Lu

Since Specialization
Citations

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

Fields of papers citing papers by Linlin Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20252
2 20250
3 20251
4 20250
5 20250
6 202413
7 202412
8 202415
9 20241
10 202444
11 202295
12 202224
13 202231
14 20201
15 201938
16 201962
17
Remote sensing of urbanization dynamics along the Belt and Road
20175
18 201657
19
Building damage assessment with VHR images and comparative analysis for Yushu Earthquake, China
20139
20
Extraction method of winter wheat phenology from time series of SPOT/VEGETATION data.
20099

About Linlin Lu

Linlin Lu is a scholar working on Global and Planetary Change, Environmental Engineering, Atmospheric Science, Ecological Modeling and Media Technology, having authored 119 papers that have together received 3.4k indexed citations. Recurring topics across this work include Land Use and Ecosystem Services (42 papers), Remote Sensing in Agriculture (33 papers), Remote Sensing and Land Use (31 papers), Urban Heat Island Mitigation (29 papers), Remote-Sensing Image Classification (15 papers), Impact of Light on Environment and Health (14 papers), Urban Green Space and Health (14 papers) and Plant Water Relations and Carbon Dynamics (9 papers). The work is most often cited by research in Global and Planetary Change (1.9k citations), Environmental Engineering (1.1k citations), Ecological Modeling (200 citations), Ecology (1.1k citations) and Atmospheric Science (672 citations). Linlin Lu has collaborated with scholars based in China, United States and Pakistan. Frequent co-authors include Qingting Li, Huadong Guo, Aqil Tariq, Qihao Weng, Cuizhen Wang, Bing Zhang, Muhammad Fahad Baqa, Chaoyang Wu, Martino Pesaresi and Siyuan Wang. Their work appears in journals such as Remote Sensing, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Sustainability, Geomatics Natural Hazards and Risk and Remote Sensing of Environment.

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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