Mui Lay

540 citations
9 papers · 410 · h-index 7

Impact in

    • Remote-Sensing Image Classification
  • Ecology top 10%
    • Remote Sensing in Agriculture
    • Coastal wetland ecosystem dynamics

Papers in

    • Remote Sensing in Agriculture 6
    • Coastal wetland ecosystem dynamics 2
    • Isotope Analysis in Ecology 1
    • Remote-Sensing Image Classification 4

Mui Lay

9 papers receiving 386 citations

Peers

Mui Lay
Comparison fields: 5 of 56
  • Media Technology 112
  • Ecology 262
  • Ecological Modeling 27
  • Pollution 70
  • Global and Planetary Change 123
Replace Guillaume Lassalle with:
Guillaume Lassalle France
Amina Rangoonwala United States
Jianing Zhen China
Enrico C. Paringit Philippines
Dries Raymaekers Belgium
Yanfang Xiao China
N. S. R. Krishnayya India
Richard Perk United States
Yusuf Kurucu Türkiye
Nicole Pinnel Germany
Mui Lay relative to Guillaume Lassalle France Guillaume Lassalle's profile →
Citations per field
00.5×6.6×
Guillaume Lassalle · 1×
Citations per year

Countries citing papers authored by Mui Lay

Since Specialization
Citations

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

Fields of papers citing papers by Mui Lay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 12 scholars most cited alongside Mui Lay, 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 Mui Lay Line = papers co-authored together Mui Lay links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 2005141
2 200593
3 200474
4 201831
5 202023
6 202222
7 201715
8 20066
9 20045

About Mui Lay

Mui Lay is a scholar working on Ecology, Media Technology, Artificial Intelligence, Pollution and Global and Planetary Change, having authored 9 papers that have together received 410 indexed citations. Recurring topics across this work include Remote Sensing in Agriculture (6 papers), Remote-Sensing Image Classification (4 papers), Geochemistry and Geologic Mapping (3 papers), Oil Spill Detection and Mitigation (2 papers), Coastal wetland ecosystem dynamics (2 papers), Isotope Analysis in Ecology (1 paper), Leaf Properties and Growth Measurement (1 paper) and Plant Water Relations and Carbon Dynamics (1 paper). The work is most often cited by research in Media Technology (112 citations), Ecology (262 citations), Ecological Modeling (27 citations), Pollution (70 citations) and Global and Planetary Change (123 citations). Mui Lay has collaborated with scholars based in United States, Netherlands and Switzerland. Frequent co-authors include Susan L. Ustin, Pablo Rosso, James C. Pushnik, Lin Li, Shruti Khanna, Paul J. Haverkamp, Maria J. Santos, James A. Goodman, Erin L. Hestir and Alexander Koltunov. Their work appears in journals such as Remote Sensing, Remote Sensing of Environment, Environmental Pollution, International Journal of Remote Sensing 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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