Mui Lay

537 total citations
9 papers, 361 citations indexed

About

Mui Lay is a scholar working on Ecology, Media Technology and Artificial Intelligence. According to data from OpenAlex, Mui Lay has authored 9 papers receiving a total of 361 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Ecology, 4 papers in Media Technology and 3 papers in Artificial Intelligence. Recurrent topics in Mui Lay's work include Remote Sensing in Agriculture (6 papers), Remote-Sensing Image Classification (4 papers) and Geochemistry and Geologic Mapping (3 papers). Mui Lay is often cited by papers focused on Remote Sensing in Agriculture (6 papers), Remote-Sensing Image Classification (4 papers) and Geochemistry and Geologic Mapping (3 papers). Mui Lay collaborates with scholars based in United States, Netherlands and Switzerland. Mui Lay's 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 and has published in prestigious journals such as Remote Sensing of Environment, Environmental Pollution and Sensors.

In The Last Decade

Mui Lay

9 papers receiving 344 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Mui Lay United States	7	232	110	106	72	64	9	361
Guillaume Lassalle France	13	257 1.1×	96 0.9×	129 1.2×	99 1.4×	59 0.9×	22	436
L. Gnanappazham India	13	228 1.0×	162 1.5×	54 0.5×	57 0.8×	14 0.2×	31	404
Zbigniew Bochenek Poland	11	179 0.8×	84 0.8×	43 0.4×	71 1.0×	52 0.8×	29	389
Sarai C. Piazza United States	10	204 0.9×	105 1.0×	48 0.5×	20 0.3×	79 1.2×	19	319
Yusuf Kurucu Türkiye	10	117 0.5×	161 1.5×	52 0.5×	96 1.3×	16 0.3×	42	356
Richard Perk United States	6	218 0.9×	98 0.9×	65 0.6×	79 1.1×	11 0.2×	9	391
Yanfang Xiao China	13	232 1.0×	140 1.3×	53 0.5×	96 1.3×	40 0.6×	27	516
Dries Raymaekers Belgium	7	177 0.8×	91 0.8×	51 0.5×	121 1.7×	19 0.3×	17	470
N. S. R. Krishnayya India	14	190 0.8×	81 0.7×	69 0.7×	57 0.8×	18 0.3×	29	347
Ligang Ma China	12	129 0.6×	151 1.4×	26 0.2×	179 2.5×	22 0.3×	22	488

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-authorship network of co-authors of Mui Lay

This figure shows the co-authorship network connecting the top 25 collaborators of Mui Lay. A scholar is included among the top collaborators of Mui Lay based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mui Lay. Mui Lay is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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9 of 9 papers shown

1.

Khanna, Shruti, et al.. (2022). Genus-Level Mapping of Invasive Floating Aquatic Vegetation Using Sentinel-2 Satellite Remote Sensing. Remote Sensing. 14(13). 3013–3013. 19 indexed citations

2.

Goodman, James A., et al.. (2020). Confidence Levels, Sensitivity, and the Role of Bathymetry in Coral Reef Remote Sensing. Remote Sensing. 12(3). 496–496. 20 indexed citations

3.

Khanna, Shruti, et al.. (2018). Comparing the Potential of Multispectral and Hyperspectral Data for Monitoring Oil Spill Impact. Sensors. 18(2). 558–558. 30 indexed citations

4.

Khanna, Shruti, et al.. (2017). Marsh Loss Due to Cumulative Impacts of Hurricane Isaac and the Deepwater Horizon Oil Spill in Louisiana. Remote Sensing. 9(2). 169–169. 15 indexed citations

5.

Khanna, Shruti, et al.. (2006). Identifying and classifying water hyacinth ( Eichhornia crassipes ) using the HyMap sensor. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6298. 629804–629804. 6 indexed citations

6.

Rosso, Pablo, James C. Pushnik, Mui Lay, & Susan L. Ustin. (2005). Reflectance properties and physiological responses of Salicornia virginica to heavy metal and petroleum contamination. Environmental Pollution. 137(2). 241–252. 124 indexed citations

7.

Ustin, Susan L., et al.. (2005). Application of multiple endmember spectral mixture analysis (MESMA) to AVIRIS imagery for coastal salt marsh mapping: a case study in China Camp, CA, USA. International Journal of Remote Sensing. 26(23). 5193–5207. 87 indexed citations

8.

Ustin, Susan L., Mui Lay, & Lin Li. (2004). Remote sensing of wetland conditions in West Coast salt marshes. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5544. 159–159. 5 indexed citations

9.

Li, Lin, Susan L. Ustin, & Mui Lay. (2004). Application of AVIRIS data in detection of oil-induced vegetation stress and cover change at Jornada, New Mexico. Remote Sensing of Environment. 94(1). 1–16. 55 indexed citations

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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