Ying Dai
Impact in
-
- Advanced Photocatalysis Techniques
- TiO2 Photocatalysis and Solar Cells
- Materials Chemistry top 0.01%
- 2D Materials and Applications
- Copper-based nanomaterials and applications
- MXene and MAX Phase Materials
- Graphene research and applications
Papers in
-
- 2D Materials and Applications 235
- Graphene research and applications 124
- Copper-based nanomaterials and applications 114
- MXene and MAX Phase Materials 108
-
- Advanced Photocatalysis Techniques 378
- Co-authors
- Baibiao Huang (251 shared papers)Baibiao Huang (182 shared papers)Zeyan Wang (251 shared papers)Yandong Ma (185 shared papers)Peng Wang (227 shared papers)Xiaoyang Zhang (114 shared papers)Xiaoyan Qin (63 shared papers)Hefeng Cheng (163 shared papers)
- Journals
- Physical review. B. (48 papers)Physical Chemistry Chemical Physics (46 papers)The Journal of Physical Chemistry C (40 papers)Applied Catalysis B: Environmental (36 papers)Journal of Materials Chemistry A (33 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Ying Dai
942 papers receiving 53.8k citations
Ying Dai's Hit Papers
Peers
Comparison fields: 5 of 168
- Renewable Energy, Sustainability and the Environment 31.2k
- Materials Chemistry 39.9k
- Catalysis 2.8k
- Electronic, Optical and Magnetic Materials 6.7k
- Electrical and Electronic Engineering 19.8k
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-authors
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
Showing the 20 most-cited of 968 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Oxygen Vacancy Induced Band-Gap Narrowing and Enhanced Visible Light Photocatalytic Activity of ZnO Hit paper breakdown → | 2012 | 1410 |
| 2 | Ag@AgCl: A Highly Efficient and Stable Photocatalyst Active under Visible Light Hit paper breakdown → | 2008 | 1332 |
| 3 | Engineering BiOX (X = Cl, Br, I) nanostructures for highly efficient photocatalytic applications Hit paper breakdown → | 2013 | 1031 |
| 4 | Evidence of the Existence of Magnetism in Pristine VX2 Monolayers (X = S, Se) and Their Strain-Induced Tunable Magnetic Properties Hit paper breakdown → | 2012 | 757 |
| 5 | Plasmonic photocatalysts: harvesting visible light with noble metal nanoparticles Hit paper breakdown → | 2012 | 714 |
| 6 | Highly Efficient Visible‐Light Plasmonic Photocatalyst Ag@AgBr Hit paper breakdown → | 2009 | 565 |
| 7 | One-Step Synthesis of the Nanostructured AgI/BiOI Composites with Highly Enhanced Visible-Light Photocatalytic Performances Hit paper breakdown → | 2010 | 551 |
| 8 | Facile in situ synthesis of visible-light plasmonic photocatalysts M@TiO2 (M = Au, Pt, Ag) and evaluation of their photocatalytic oxidation of benzene to phenol Hit paper breakdown → | 2011 | 524 |
| 9 | In-Situ-Reduced Synthesis of Ti3+Self-Doped TiO2/g-C3N4Heterojunctions with High Photocatalytic Performance under LED Light Irradiation Hit paper breakdown → | 2015 | 522 |
| 10 | Energy transfer in plasmonic photocatalytic composites Hit paper breakdown → | 2016 | 499 |
| 11 | 2011 | 445 | |
| 12 | 2011 | 426 | |
| 13 | High performance ZIF-8/6FDA-DAM mixed matrix membrane for propylene/propane separations Hit paper breakdown → | 2011 | 420 |
| 14 | 2009 | 405 | |
| 15 | Ab Initio Prediction and Characterization of Mo2C Monolayer as Anodes for Lithium-Ion and Sodium-Ion Batteries Hit paper breakdown → | 2016 | 405 |
| 16 | 2018 | 397 | |
| 17 | 2009 | 360 | |
| 18 | 2017 | 351 | |
| 19 | 2011 | 350 | |
| 20 | 2018 | 347 |
About Ying Dai
Ying Dai is a scholar working on Materials Chemistry, Renewable Energy, Sustainability and the Environment, Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics and Electronic, Optical and Magnetic Materials, having authored 968 papers that have together received 54.3k indexed citations. Recurring topics across this work include Advanced Photocatalysis Techniques (378 papers), 2D Materials and Applications (235 papers), Graphene research and applications (124 papers), Topological Materials and Phenomena (122 papers), Copper-based nanomaterials and applications (114 papers), MXene and MAX Phase Materials (108 papers), Perovskite Materials and Applications (95 papers) and Gas Sensing Nanomaterials and Sensors (91 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (31.2k citations), Materials Chemistry (39.9k citations), Catalysis (2.8k citations), Electronic, Optical and Magnetic Materials (6.7k citations) and Electrical and Electronic Engineering (19.8k citations). Ying Dai has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Baibiao Huang, Baibiao Huang, Zeyan Wang, Yandong Ma, Peng Wang, Xiaoyang Zhang, Xiaoyan Qin, Hefeng Cheng, Wei Wei and Myung‐Hwan Whangbo. Their work appears in journals such as Physical review. B., Physical Chemistry Chemical Physics, The Journal of Physical Chemistry C, Applied Catalysis B: Environmental and Journal of Materials Chemistry A.
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.