Ying Dai
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- Advanced Photocatalysis Techniques 231
- Materials Chemistry top 0.02%
- 2D Materials and Applications 160
- Graphene research and applications 77
- MXene and MAX Phase Materials 73
- Copper-based nanomaterials and applications 67
- Electronic and Structural Properties of Oxides 61
- Catalysis top 0.5%
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- Gas Sensing Nanomaterials and Sensors 60
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- Topological Materials and Phenomena 88
Ying Dai
628 papers receiving 33.7k citations
Hit Papers
Peers
Comparison fields: 5 of 154
- Renewable Energy, Sustainability and the Environment 19.8k
- Materials Chemistry 25.4k
- Catalysis 2.0k
- Electronic, Optical and Magnetic Materials 4.8k
- Electrical and Electronic Engineering 11.7k
Countries citing papers authored by Ying Dai
This map shows the geographic impact of Ying 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 Ying Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ying Dai more than expected).
Fields of papers citing papers by Ying Dai
This network shows the impact of papers produced by Ying 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 Ying Dai. The network helps show where Ying Dai may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ying 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 | 2 | |
| 3 | 2024 | 10 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 2 | |
| 7 | 2024 | 6 | |
| 8 | 2024 | 0 | |
| 9 | 2024 | 11 | |
| 10 | 2024 | 1 | |
| 11 | 2023 | 17 | |
| 12 | 2023 | 44 | |
| 13 | 2023 | 11 | |
| 14 | 2023 | 7 | |
| 15 | 2023 | 53 | |
| 16 | 2023 | 37 | |
| 17 | 2022 | 6 | |
| 18 | 2019 | 31 | |
| 19 | 2011 | 4 | |
| 20 | 2011 | 60 |
About Ying Dai
Ying Dai is a scholar working on Renewable Energy, Sustainability and the Environment, Materials Chemistry, Electronic, Optical and Magnetic Materials, Catalysis and Condensed Matter Physics, having authored 652 papers that have together received 34.3k indexed citations. Recurring topics across this work include Advanced Photocatalysis Techniques (231 papers), 2D Materials and Applications (160 papers), Topological Materials and Phenomena (88 papers), Graphene research and applications (77 papers), MXene and MAX Phase Materials (73 papers), Copper-based nanomaterials and applications (67 papers), Electronic and Structural Properties of Oxides (61 papers) and Gas Sensing Nanomaterials and Sensors (60 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (19.8k citations), Materials Chemistry (25.4k citations), Catalysis (2.0k citations), Electronic, Optical and Magnetic Materials (4.8k citations) and Electrical and Electronic Engineering (11.7k citations). Ying Dai has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Baibiao Huang, Baibiao Huang, Yandong Ma, Zeyan Wang, Xiaoyang Zhang, Peng Wang, Xiaoyan Qin, Myung‐Hwan Whangbo, Hefeng Cheng and Zhaoke Zheng. Their work appears in journals such as The Journal of Physical Chemistry C, Physical review. B., Applied Physics Letters, Physical Chemistry Chemical Physics and The Journal of Physical Chemistry Letters.
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.