Guang-ming Dai

973 total citations
29 papers, 666 citations indexed

About

Guang-ming Dai is a scholar working on Atomic and Molecular Physics, and Optics, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering. According to data from OpenAlex, Guang-ming Dai has authored 29 papers receiving a total of 666 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Atomic and Molecular Physics, and Optics, 11 papers in Computer Vision and Pattern Recognition and 11 papers in Electrical and Electronic Engineering. Recurrent topics in Guang-ming Dai's work include Adaptive optics and wavefront sensing (22 papers), Optical measurement and interference techniques (11 papers) and Optical Systems and Laser Technology (10 papers). Guang-ming Dai is often cited by papers focused on Adaptive optics and wavefront sensing (22 papers), Optical measurement and interference techniques (11 papers) and Optical Systems and Laser Technology (10 papers). Guang-ming Dai collaborates with scholars based in United States, Sweden and United Kingdom. Guang-ming Dai's co-authors include Virendra N. Mahajan, Huawei Zhao, Li Chen, Patricia Piers, Li Chen, Dimitri Chernyak, C. E. Campbell, Henk A Weeber, Junzhong Liang and Peter Wintoft and has published in prestigious journals such as Optics Letters, Journal of the Optical Society of America A and Journal of Refractive Surgery.

In The Last Decade

Guang-ming Dai

28 papers receiving 607 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Guang-ming Dai United States 12 440 297 220 219 117 29 666
Eva Acosta Spain 14 296 0.7× 224 0.8× 116 0.5× 217 1.0× 95 0.8× 74 548
Daniel R. Neal United States 13 337 0.8× 200 0.7× 293 1.3× 145 0.7× 87 0.7× 54 589
Christopher Dainty Ireland 18 381 0.9× 125 0.4× 249 1.1× 250 1.1× 131 1.1× 63 734
Daniel Malacara-Hernández Mexico 13 215 0.5× 276 0.9× 88 0.4× 186 0.8× 101 0.9× 62 610
Mette Owner-Petersen Sweden 11 286 0.7× 139 0.5× 172 0.8× 198 0.9× 24 0.2× 71 497
Guoguang Mu China 14 283 0.6× 148 0.5× 180 0.8× 226 1.0× 31 0.3× 81 638
Serge Meimon France 16 333 0.8× 108 0.4× 183 0.8× 208 0.9× 89 0.8× 63 644
Vidal F. Canales Spain 14 352 0.8× 123 0.4× 157 0.7× 269 1.2× 54 0.5× 41 552
Luc Joannes Belgium 9 292 0.7× 149 0.5× 56 0.3× 159 0.7× 67 0.6× 36 551
John E. Greivenkamp United States 18 230 0.5× 489 1.6× 225 1.0× 224 1.0× 275 2.4× 71 1.1k

Countries citing papers authored by Guang-ming Dai

Since Specialization
Citations

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

Fields of papers citing papers by Guang-ming Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Guang-ming Dai. 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 Guang-ming Dai. The network helps show where Guang-ming Dai may publish in the future.

Co-authorship network of co-authors of Guang-ming Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Guang-ming Dai. A scholar is included among the top collaborators of Guang-ming Dai 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 Guang-ming Dai. Guang-ming Dai 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.
Dai, Guang-ming. (2012). Theoretical analysis for spherical aberration induction with low-order correction in refractive surgery. Applied Optics. 51(18). 3966–3966. 1 indexed citations
2.
Zhao, Huawei, Guang-ming Dai, Li Chen, Henk A Weeber, & Patricia Piers. (2011). Spherical Aberrations of Human Astigmatic Corneas. Journal of Refractive Surgery. 27(11). 846–848. 8 indexed citations
3.
Dai, Guang-ming. (2011). Validity of Scaling Zernike Coefficients to a Larger Diameter for Refractive Surgery. Journal of Refractive Surgery. 27(11). 837–841. 7 indexed citations
4.
Dai, Guang-ming, C. E. Campbell, Li Chen, Huawei Zhao, & Dimitri Chernyak. (2009). Wavefront propagation from one plane to another with the use of Zernike polynomials and Taylor monomials. Applied Optics. 48(3). 477–477. 9 indexed citations
5.
Dai, Guang-ming & Virendra N. Mahajan. (2008). Orthonormal polynomials in wavefront analysis: error analysis. Applied Optics. 47(19). 3433–3433. 45 indexed citations
6.
7.
Mahajan, Virendra N. & Guang-ming Dai. (2007). Orthonormal polynomials in wavefront analysis: analytical solution. Journal of the Optical Society of America A. 24(9). 2994–2994. 114 indexed citations
8.
Dai, Guang-ming. (2006). Comparison of Wavefront Reconstructions With Zernike Polynomials and Fourier Transforms. Journal of Refractive Surgery. 22(9). 943–948. 21 indexed citations
9.
Dai, Guang-ming & Virendra N. Mahajan. (2006). Zernike annular polynomials and atmospheric turbulence. Journal of the Optical Society of America A. 24(1). 139–139. 37 indexed citations
10.
Dai, Guang-ming. (2006). Wavefront expansion basis functions and their relationships. Journal of the Optical Society of America A. 23(7). 1657–1657. 18 indexed citations
11.
Mahajan, Virendra N. & Guang-ming Dai. (2006). Orthonormal Polynomials in Wavefront Analysis: Analytical Solution. Frontiers in Optics. FWX1–FWX1. 7 indexed citations
12.
Dai, Guang-ming, et al.. (2006). System performance evaluation of refractive surgical lasers: a mathematical approach. Applied Optics. 45(9). 2124–2124. 1 indexed citations
13.
Dai, Guang-ming. (2006). Zernike aberration coefficients transformed to and from Fourier series coefficients for wavefront representation. Optics Letters. 31(4). 501–501. 21 indexed citations
14.
Dai, Guang-ming & Virendra N. Mahajan. (2006). Nonrecursive determination of orthonormal polynomials with matrix formulation. Optics Letters. 32(1). 74–74. 42 indexed citations
15.
Dai, Guang-ming. (2006). Wavefront expansion basis functions and their relationships: errata. Journal of the Optical Society of America A. 23(11). 2970–2970. 3 indexed citations
16.
Dai, Guang-ming & Junzhong Liang. (2003). Reducing high order aberrations caused by accumulated system component errors. Frontiers in Optics. MW3–MW3. 1 indexed citations
17.
Dai, Guang-ming, et al.. (1997). <title>Real time atmospheric turbulence compensation: implementing dedicated hardware</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 2871. 702–709. 1 indexed citations
18.
Dai, Guang-ming. (1995). Modal compensation of atmospheric turbulence with the use of Zernike polynomials and Karhunen–Loève functions. Journal of the Optical Society of America A. 12(10). 2182–2182. 69 indexed citations
19.
Dai, Guang-ming. (1994). <title>Modified Hartmann-Shack wavefront sensing and iterative wavefront reconstruction</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 2201. 562–573. 15 indexed citations
20.
Wintoft, Peter & Guang-ming Dai. (1994). <title>Neural network for modal compensation of atmospheric turbulence</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 2302. 103–109. 1 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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