Michael G. Wing

1.7k total citations
83 papers, 1.3k citations indexed

About

Michael G. Wing is a scholar working on Environmental Engineering, Ecology and Global and Planetary Change. According to data from OpenAlex, Michael G. Wing has authored 83 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Environmental Engineering, 28 papers in Ecology and 25 papers in Global and Planetary Change. Recurrent topics in Michael G. Wing's work include Remote Sensing and LiDAR Applications (41 papers), Forest Biomass Utilization and Management (17 papers) and Forest ecology and management (14 papers). Michael G. Wing is often cited by papers focused on Remote Sensing and LiDAR Applications (41 papers), Forest Biomass Utilization and Management (17 papers) and Forest ecology and management (14 papers). Michael G. Wing collaborates with scholars based in United States, Türkiye and Australia. Michael G. Wing's co-authors include Aaron Eklund, L. D. Kellogg, John Sessions, Jonathan D. Burnett, Abdullah E. Akay, Arne E. Skaugset, Fatih Sivrikaya, Joanne F. Tynon, Leigh G. Torres and Leila Soledade Lemos and has published in prestigious journals such as SHILAP Revista de lepidopterología, Water Resources Research and International Journal of Remote Sensing.

In The Last Decade

Michael G. Wing

78 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Michael G. Wing United States	19	553	425	337	248	155	83	1.3k
Tero Heinonen Finland	17	426 0.8×	108 0.3×	579 1.7×	317 1.3×	146 0.9×	31	1.1k
Zhongke Feng China	24	711 1.3×	395 0.9×	705 2.1×	433 1.7×	35 0.2×	142	1.5k
Xin Tian China	20	544 1.0×	494 1.2×	504 1.5×	277 1.1×	28 0.2×	115	1.2k
Shichao Jin China	27	1.0k 1.8×	915 2.2×	311 0.9×	284 1.1×	27 0.2×	69	2.0k
Arne Nothdurft Austria	21	852 1.5×	339 0.8×	388 1.2×	808 3.3×	42 0.3×	62	1.4k
Ján Merganič Slovakia	19	476 0.9×	239 0.6×	459 1.4×	508 2.0×	87 0.6×	55	1.2k
Leena Matikainen Finland	20	927 1.7×	470 1.1×	206 0.6×	139 0.6×	18 0.1×	39	1.4k
Robert Keefe United States	14	235 0.4×	214 0.5×	272 0.8×	123 0.5×	174 1.1×	44	701
Lijuan Liu China	12	800 1.4×	705 1.7×	291 0.9×	495 2.0×	36 0.2×	39	1.4k
Michael J. Olsen United States	31	1.6k 2.9×	355 0.8×	437 1.3×	154 0.6×	59 0.4×	145	3.2k

Countries citing papers authored by Michael G. Wing

Since Specialization

Citations

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

Fields of papers citing papers by Michael G. Wing

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael G. Wing. 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 Michael G. Wing. The network helps show where Michael G. Wing may publish in the future.

Co-authorship network of co-authors of Michael G. Wing

This figure shows the co-authorship network connecting the top 25 collaborators of Michael G. Wing. A scholar is included among the top collaborators of Michael G. Wing 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 Michael G. Wing. Michael G. Wing is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Gülci, Sercan, Michael G. Wing, & Abdullah E. Akay. (2025). Land Use and Land Cover (LULC) Mapping Accuracy Using Single-Date Sentinel-2 MSI Imagery with Random Forest and Classification and Regression Tree Classifiers. SHILAP Revista de lepidopterología. 5(3). 29–29. 2 indexed citations

Gülci, Sercan & Michael G. Wing. (2025). Evaluating forest fire severity and vegetative recovery using Sentinel imagery and spectral indices in a cloud-based environment. Advances in Space Research. 76(8). 4092–4105.

Burnett, Jonathan D., Kristin L. Jaeger, Sherri L. Johnson, et al.. (2025). A Streamflow Permanence Classification Model for Forested Streams That Explicitly Accounts for Uncertainty and Extrapolation. Water Resources Research. 61(7).

Wing, Michael G., et al.. (2024). Applying Unoccupied Aircraft System Multispectral Remote Sensing to Examine Blight in a Pacific Madrone Orchard. 10(1). 20–30. 1 indexed citations

Burnett, Jonathan L., et al.. (2023). Multi-temporal Pacific madrone leaf blight assessment with unoccupied aircraft systems. Annals of Forest Research. 66(1). 171–181. 1 indexed citations

Wing, Michael G.. (2023). A UAS-Based Hyperspectral Solution for Vegetative Remote Sensing. Journal of Geography Environment and Earth Science International. 27(9). 117–121. 1 indexed citations

Gülci, Sercan, et al.. (2021). Mapping Wildfires Using Sentinel 2 MSI and Landsat 8 Imagery: Spatial Data Generation for Forestry. DergiPark (Istanbul University). 7(2). 57–66. 8 indexed citations

Zyl, Natasha van, et al.. (2020). Reliability of three radiographic classification systems for knee osteoarthritis among observers of different experience levels. Skeletal Radiology. 50(2). 399–405. 16 indexed citations

Wing, Michael G.. (2019). Unmanned Aircraft Systems for Remote Sensing of Vegetation Vigor. 2(4). 1 indexed citations

10.

Akay, Abdullah E., et al.. (2016). Determination of fire-access zones along road networks in fire-sensitive forests. Journal of Forestry Research. 28(3). 557–564. 13 indexed citations

11.

Akay, Abdullah E., et al.. (2015). Planning Optimum Logging Operations through Precision Forestry Approaches. DergiPark (Istanbul University). 1(2). 56–60. 8 indexed citations

12.

Olsen, Michael J., et al.. (2015). Automated Extraction of Forest Road Network Geometry from Aerial LiDAR. DergiPark (Istanbul University). 10 indexed citations

13.

Wing, Michael G. & Joanne F. Tynon. (2008). Revisiting the Spatial Analysis of Crime in National Forests. Journal of Forestry. 106(2). 91–99. 9 indexed citations

14.

Wing, Michael G. & Aaron Eklund. (2007). Performance Comparison of a Low-Cost Mapping Grade Global Positioning Systems (GPS) Receiver and Consumer Grade GPS Receiver under Dense Forest Canopy. Journal of Forestry. 105(1). 9–14. 32 indexed citations

15.

Wing, Michael G. & Aaron Eklund. (2007). Elevation Measurement Capabilities of Consumer-Grade Global Positioning System (GPS) Receivers. Journal of Forestry. 105(2). 91–94. 9 indexed citations

16.

Wing, Michael G. & Joanne F. Tynon. (2006). Crime Mapping and Spatial Analysis in National Forests. Journal of Forestry. 104(6). 293–298. 20 indexed citations

17.

Wing, Michael G. & Joanne F. Tynon. (2006). Crime mapping in the national forests. Journal of Forestry. 104(6). 1 indexed citations

18.

Wing, Michael G. & Pete Bettinger. (2003). GIS: An Updated Primer on a Powerful Management Tool. Journal of Forestry. 101(4). 4–8. 17 indexed citations

19.

Wing, Michael G. & Rebecca L. Johnson. (2001). Quantifying Forest Visibility with Spatial Data. Environmental Management. 27(3). 411–420. 9 indexed citations

20.

Wing, Michael G. & Bo Shelby. (1999). Using GIS to Integrate Information on Forest Recreation. Journal of Forestry. 97(1). 12–16. 13 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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