Pan Dai
Impact in
- Water Science and Technology top 10%
- Membrane Separation Technologies
- Advanced oxidation water treatment
-
- solar cell performance optimization
- Chalcogenide Semiconductor Thin Films
- Silicon and Solar Cell Technologies
Papers in
-
- solar cell performance optimization 28
- Chalcogenide Semiconductor Thin Films 23
- Silicon and Solar Cell Technologies 5
- Semiconductor materials and devices 4
-
- Semiconductor Quantum Structures and Devices 14
- Co-authors
- Shulong Lu (28 shared papers)Shiro Uchida (15 shared papers)Lian Ji (13 shared papers)Yuanyuan Wu (16 shared papers)Hui Yang (10 shared papers)Xia Huang (2 shared papers)Weichen Lin (2 shared papers)Shuren Chou (1 shared paper)
In The Last Decade
Pan Dai
55 papers receiving 668 citations
Peers
Comparison fields: 5 of 59
- Water Science and Technology 145
- Electrical and Electronic Engineering 465
- Atomic and Molecular Physics, and Optics 164
- Renewable Energy, Sustainability and the Environment 84
- Bioengineering 26
Countries citing papers authored by Pan Dai
This map shows the geographic impact of Pan 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 Pan Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pan Dai more than expected).
Fields of papers citing papers by Pan Dai
This network shows the impact of papers produced by Pan 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 Pan Dai. The network helps show where Pan Dai may publish in the future.
Co-authors
The 25 scholars most cited alongside Pan 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
Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 88 | |
| 2 | 2023 | 76 | |
| 3 | 2018 | 41 | |
| 4 | 2011 | 39 | |
| 5 | 2014 | 35 | |
| 6 | 2019 | 32 | |
| 7 | 2017 | 25 | |
| 8 | 2021 | 22 | |
| 9 | 2023 | 22 | |
| 10 | 2015 | 20 | |
| 11 | 2013 | 19 | |
| 12 | 2023 | 17 | |
| 13 | 2017 | 17 | |
| 14 | 2017 | 16 | |
| 15 | 2015 | 16 | |
| 16 | 2016 | 15 | |
| 17 | 2023 | 14 | |
| 18 | 2020 | 12 | |
| 19 | 2022 | 12 | |
| 20 | 2015 | 12 |
About Pan Dai
Pan Dai is a scholar working on Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics, Biomedical Engineering, Materials Chemistry and Civil and Structural Engineering, having authored 57 papers that have together received 688 indexed citations. Recurring topics across this work include solar cell performance optimization (28 papers), Chalcogenide Semiconductor Thin Films (23 papers), Semiconductor Quantum Structures and Devices (14 papers), Nanowire Synthesis and Applications (12 papers), Quantum Dots Synthesis And Properties (5 papers), Silicon and Solar Cell Technologies (5 papers), Thermal Radiation and Cooling Technologies (4 papers) and Semiconductor materials and devices (4 papers). The work is most often cited by research in Water Science and Technology (145 citations), Electrical and Electronic Engineering (465 citations), Atomic and Molecular Physics, and Optics (164 citations), Renewable Energy, Sustainability and the Environment (84 citations) and Bioengineering (26 citations). Pan Dai has collaborated with scholars based in China, Japan and Taiwan. Frequent co-authors include Shulong Lu, Shiro Uchida, Lian Ji, Yuanyuan Wu, Hui Yang, Xia Huang, Weichen Lin, Shuren Chou, Qiao Wang and T. David Waite. Their work appears in journals such as Japanese Journal of Applied Physics, Applied Physics Express, Journal of Crystal Growth, Applied Physics Letters and Solar Energy Materials and Solar Cells.
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.