Gaoliang Dai
- Structural Biology top 5%
- Surfaces, Coatings and Films top 5%
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- Scientific Measurement and Uncertainty Evaluation 10
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- Force Microscopy Techniques and Applications 43
- Mechanical Engineering top 5%
- Advanced Measurement and Metrology Techniques 37
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- Surface Roughness and Optical Measurements 23
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- Advanced Surface Polishing Techniques 18
- Near-Field Optical Microscopy 10
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- Integrated Circuits and Semiconductor Failure Analysis 12
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- Optical measurement and interference techniques 12
- Co-authors
- Hans‐Ulrich DanzebrinkFrank PohlenzLudger KoendersMin XuHarald BosseThorsten DziombaXiukun HuGünter Wilkening
- Partner nations
- GermanyChinaUnited States
In The Last Decade
Gaoliang Dai
77 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 64
- Structural Biology 53
- Surfaces, Coatings and Films 193
- Statistics, Probability and Uncertainty 162
- Atomic and Molecular Physics, and Optics 699
- Mechanical Engineering 662
Countries citing papers authored by Gaoliang Dai
This map shows the geographic impact of Gaoliang 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 Gaoliang Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gaoliang Dai more than expected).
Fields of papers citing papers by Gaoliang Dai
This network shows the impact of papers produced by Gaoliang 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 Gaoliang Dai. The network helps show where Gaoliang Dai may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Gaoliang Dai, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 1 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 2 | |
| 6 | 2024 | 4 | |
| 7 | 2024 | 9 | |
| 8 | 2024 | 0 | |
| 9 | 2024 | 1 | |
| 10 | 2024 | 12 | |
| 11 | 2022 | 3 | |
| 12 | 2021 | 8 | |
| 13 | 2020 | 6 | |
| 14 | 2020 | 11 | |
| 15 | 2019 | 40 | |
| 16 | 2018 | 21 | |
| 17 | 2011 | 6 | |
| 18 | 2009 | 2 | |
| 19 | 2007 | 88 | |
| 20 | 2006 | 3 |
About Gaoliang Dai
Gaoliang Dai is a scholar working on Surfaces, Coatings and Films, Atomic and Molecular Physics, and Optics and Statistics, Probability and Uncertainty, having authored 82 papers that have together received 1.4k indexed citations. Recurring topics across this work include Force Microscopy Techniques and Applications (43 papers), Advanced Measurement and Metrology Techniques (37 papers), Surface Roughness and Optical Measurements (23 papers), Advanced Surface Polishing Techniques (18 papers), Integrated Circuits and Semiconductor Failure Analysis (12 papers), Optical measurement and interference techniques (12 papers), Scientific Measurement and Uncertainty Evaluation (10 papers) and Near-Field Optical Microscopy (10 papers). The work is most often cited by research in Structural Biology (53 citations), Surfaces, Coatings and Films (193 citations) and Statistics, Probability and Uncertainty (162 citations). Gaoliang Dai has collaborated with scholars based in Germany, China and United States. Frequent co-authors include Hans‐Ulrich Danzebrink, Frank Pohlenz, Ludger Koenders, Min Xu, Harald Bosse, Thorsten Dziomba, Xiukun Hu, Günter Wilkening, Sebastian Bütefisch and Rainer Tutsch. Their work appears in journals such as Applied Physics Letters, Small and Sensors.
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.