W. Gao

1.8k total citations
21 papers, 1.0k citations indexed

About

W. Gao is a scholar working on Global and Planetary Change, Atmospheric Science and Environmental Engineering. According to data from OpenAlex, W. Gao has authored 21 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Global and Planetary Change, 15 papers in Atmospheric Science and 8 papers in Environmental Engineering. Recurrent topics in W. Gao's work include Plant Water Relations and Carbon Dynamics (13 papers), Atmospheric chemistry and aerosols (7 papers) and Meteorological Phenomena and Simulations (5 papers). W. Gao is often cited by papers focused on Plant Water Relations and Carbon Dynamics (13 papers), Atmospheric chemistry and aerosols (7 papers) and Meteorological Phenomena and Simulations (5 papers). W. Gao collaborates with scholars based in United States, Canada and Vietnam. W. Gao's co-authors include Kyaw Tha Paw U, Roger H. Shaw, M. L. Wesely, Paul V. Doskey, Kyaw Tha Paw, Jie Song, R. L. Coulter, Barry M. Lesht, Jianxiu Qiu and H. H. Neumann and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Remote Sensing of Environment and Atmospheric Environment.

In The Last Decade

W. Gao

20 papers receiving 942 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
W. Gao United States 16 789 530 331 219 191 21 1.0k
P. A. Coppin Australia 19 842 1.1× 469 0.9× 422 1.3× 257 1.2× 91 0.5× 26 1.3k
Ricardo K. Sakai United States 13 821 1.0× 418 0.8× 218 0.7× 63 0.3× 114 0.6× 34 943
Daniela Cava Italy 21 754 1.0× 533 1.0× 449 1.4× 386 1.8× 84 0.4× 44 1.0k
W. Kohsiek Netherlands 18 1.2k 1.5× 777 1.5× 585 1.8× 188 0.9× 108 0.6× 39 1.4k
Tirtha Banerjee United States 17 568 0.7× 224 0.4× 198 0.6× 179 0.8× 44 0.2× 52 754
Jason Forthofer United States 17 910 1.2× 223 0.4× 213 0.6× 165 0.8× 48 0.3× 38 1.1k
Jiemin Wang China 22 1.3k 1.7× 773 1.5× 570 1.7× 61 0.3× 75 0.4× 82 1.7k
G. Dalu Italy 21 1.2k 1.5× 1.2k 2.4× 365 1.1× 69 0.3× 51 0.3× 74 1.7k
Sonia Wharton United States 21 820 1.0× 467 0.9× 559 1.7× 107 0.5× 115 0.6× 60 1.4k
John L. Walmsley Canada 17 435 0.6× 504 1.0× 560 1.7× 144 0.7× 36 0.2× 39 1.1k

Countries citing papers authored by W. Gao

Since Specialization
Citations

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

Fields of papers citing papers by W. Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of W. Gao

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

All Works

20 of 20 papers shown
1.
Gao, W., M. L. Wesely, David Cook, & R. L. Hart. (2024). Dry Air-Surface Exchange in Hilly Terrain. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information).
2.
Doskey, Paul V. & W. Gao. (1999). Vertical mixing and chemistry of isoprene in the atmospheric boundary layer: Aircraft‐based measurements and numerical modeling. Journal of Geophysical Research Atmospheres. 104(D17). 21263–21274. 12 indexed citations
3.
Song, Jie & W. Gao. (1999). An Improved Method to Derive Surface Albedo from Narrowband AVHRR Satellite Data: Narrowband to Broadband Conversion. Journal of Applied Meteorology. 38(2). 239–249. 35 indexed citations
4.
Gao, W., R. L. Coulter, Barry M. Lesht, Jianxiu Qiu, & M. L. Wesely. (1998). Estimating Clear-Sky Regional Surface Fluxes in the Southern Great Plains Atmospheric Radiation Measurement Site with Ground Measurements and Satellite Observations. Journal of Applied Meteorology. 37(1). 5–22. 42 indexed citations
5.
6.
Gao, W.. (1995). Parameterization of subgrid‐scale land surface fluxes with emphasis on distributing mean atmospheric forcing and using satellite‐derived vegetation index. Journal of Geophysical Research Atmospheres. 100(D7). 14305–14317. 22 indexed citations
7.
8.
Gao, W. & M. L. Wesely. (1995). Modeling gaseous dry deposition over regional scales with satellite observations—I. Model development. Atmospheric Environment. 29(6). 727–737. 31 indexed citations
9.
Gao, W.. (1994). Atmosphere‐biosphere exchange flux of carbon dioxide in a tallgrass prairie modeled with satellite spectral data. Journal of Geophysical Research Atmospheres. 99(D1). 1317–1327. 13 indexed citations
10.
Gao, W. & M. L. Wesely. (1994). Numerical Modeling of the Turbulent Fluxes of Chemically Reactive Trace Gases in the Atmospheric Boundary Layer. Journal of Applied Meteorology. 33(7). 835–847. 39 indexed citations
11.
Gao, W.. (1993). A simple bidirectional-reflectance model applied to a tallgrass canopy. Remote Sensing of Environment. 45(2). 209–224. 19 indexed citations
12.
Gao, W., M. L. Wesely, & Paul V. Doskey. (1993). Numerical modeling of the turbulent diffusion and chemistry of NOx, O3, isoprene, and other reactive trace gases in and above a forest canopy. Journal of Geophysical Research Atmospheres. 98(D10). 18339–18353. 80 indexed citations
13.
Gao, W., et al.. (1993). Wavelet Analysis of Coherent Structures at the Atmosphere-Forest Interface. Journal of Applied Meteorology. 32(11). 1717–1725. 126 indexed citations
14.
Gao, W., M. L. Wesely, David Cook, & R. L. Hart. (1992). Air‐surface exchange of H2O, CO2, and O3 at a tallgrass prairie in relation to remotely sensed vegetation indices. Journal of Geophysical Research Atmospheres. 97(D17). 18663–18671. 21 indexed citations
15.
Gao, W., Roger H. Shaw, & Kyaw Tha Paw. (1992). Conditional analysis of temperature and humidity microfronts and ejection/sweep motions within and above a deciduous forest. Boundary-Layer Meteorology. 59(1-2). 35–57. 44 indexed citations
16.
Gao, W., et al.. (1991). A numerical study of the effects of air chemistry on fluxes of NO, NO2, and O3 near the surface. Journal of Geophysical Research Atmospheres. 96(D10). 18761–18769. 54 indexed citations
17.
Gao, W. & Roger H. Shaw. (1991). Characteristics of large eddy transport between the lower atmosphere and a deciduous forest. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 4 indexed citations
18.
Shaw, Roger H., et al.. (1990). Retrieval of turbulent pressure fluctuations at the ground surface beneath a forest. Boundary-Layer Meteorology. 50(1-4). 319–338. 42 indexed citations
19.
Gao, W., Roger H. Shaw, & Kyaw Tha Paw U. (1989). Observation of organized structure in turbulent flow within and above a forest canopy. Boundary-Layer Meteorology. 47(1-4). 349–377. 285 indexed citations
20.
U, Kyaw Tha Paw & W. Gao. (1988). Applications of solutions to non-linear energy budget equations. Agricultural and Forest Meteorology. 43(2). 121–145. 122 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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