Guang-ming Dai
- Atomic and Molecular Physics, and Optics top 5%
- Computer Vision and Pattern Recognition top 5%
- Electrical and Electronic Engineering
- Biomedical Engineering
- Epidemiology
- Co-authors
- Virendra N. MahajanHuawei ZhaoLi ChenDimitri ChernyakC. E. CampbellPatricia PiersHenk A WeeberJunzhong Liang
- Topics
- Adaptive optics and wavefront sensing (22 papers)Optical measurement and interference techniques (11 papers)Optical Systems and Laser Technology (10 papers)
- Cited by
- Computer Vision and Pattern RecognitionAtomic and Molecular Physics, and OpticsAcoustics and Ultrasonics
- Partner nations
- United StatesSwedenUnited Kingdom
In The Last Decade
Guang-ming Dai
28 papers receiving 607 citations
Peers
Comparison fields: 5 of 55
- Atomic and Molecular Physics, and Optics 440
- Computer Vision and Pattern Recognition 297
- Electrical and Electronic Engineering 220
- Biomedical Engineering 219
- Epidemiology 117
Countries citing papers authored by Guang-ming Dai
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 7 | |
| 4 | 8 | |
| 5 | 9 | |
| 6 | 45 | |
| 7 | 114 | |
| 8 | 6 | |
| 9 | 21 | |
| 10 | 21 | |
| 11 | 37 | |
| 12 | 18 | |
| 13 | 1 | |
| 14 | 42 | |
| 15 | 7 | |
| 16 | 3 | |
| 17 | 1 | |
| 18 | 1 | |
| 19 | 69 | |
| 20 | 15 |
About Guang-ming Dai
Guang-ming Dai is a scholar working on Atomic and Molecular Physics, and Optics, Computer Vision and Pattern Recognition and Ophthalmology, having authored 29 papers that have together received 666 indexed citations. Recurring topics across this work include Adaptive optics and wavefront sensing (22 papers), Optical measurement and interference techniques (11 papers) and Optical Systems and Laser Technology (10 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (297 citations), Atomic and Molecular Physics, and Optics (440 citations) and Acoustics and Ultrasonics (10 citations). Guang-ming Dai has collaborated with scholars based in United States, Sweden and United Kingdom. Frequent co-authors include Virendra N. Mahajan, Huawei Zhao, Li Chen, Dimitri Chernyak, C. E. Campbell, Patricia Piers, Henk A Weeber, Li Chen, Junzhong Liang and Peter Wintoft. Their work appears in journals such as Optics Letters, Journal of the Optical Society of America A and Journal of Refractive Surgery.
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.