Mui Lay

537 citations
9 papers · 361 · 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
    • Coral and Marine Ecosystems Studies 1
    • Remote-Sensing Image Classification 4

Mui Lay

9 papers receiving 344 citations

Peers

Mui Lay
Comparison fields: 5 of 54
  • Media Technology 106
  • Ecology 232
  • Ecological Modeling 26
  • Pollution 64
  • Global and Planetary Change 110
Replace Guillaume Lassalle with:
Guillaume Lassalle France
Zbigniew Bochenek Poland
Dries Raymaekers Belgium
Yanfang Xiao China
Yusuf Kurucu Türkiye
N. S. R. Krishnayya India
Carolina Tenjo Spain
L. Alberotanza Italy
Tengfang Deng China
Richard Perk United States
Mui Lay relative to Guillaume Lassalle France Guillaume Lassalle's profile →
Citations per field
00.5×6.2×
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 2005124
2 200587
3 200455
4 201830
5 202020
6 202219
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 361 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), Coastal wetland ecosystem dynamics (2 papers), Oil Spill Detection and Mitigation (2 papers), Land Use and Ecosystem Services (1 paper), Coral and Marine Ecosystems Studies (1 paper) and Marine and coastal ecosystems (1 paper). The work is most often cited by research in Media Technology (106 citations), Ecology (232 citations), Ecological Modeling (26 citations), Pollution (64 citations) and Global and Planetary Change (110 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, Erin L. Hestir, James A. Goodman and Alexander Koltunov. Their work appears in journals such as Remote Sensing, Sensors, Remote Sensing of Environment, Environmental Pollution and International Journal of 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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