Qiuling Tao
Impact in
- Materials Chemistry top 10%
- Machine Learning in Materials Science
- Quantum Dots Synthesis And Properties
- Electronic and Structural Properties of Oxides
- X-ray Diffraction in Crystallography
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- Advanced Photocatalysis Techniques
Papers in
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- Perovskite Materials and Applications 6
- Gas Sensing Nanomaterials and Sensors 1
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- Machine Learning in Materials Science 4
- Co-authors
- Wencong Lu (6 shared papers)Minjie Li (6 shared papers)Pengcheng Xu (2 shared papers)Tian Lu (3 shared papers)Sheng Ye (1 shared paper)Long Li (1 shared paper)Xue Yang (3 shared papers)Long Li (2 shared papers)
In The Last Decade
Qiuling Tao
11 papers receiving 611 citations
Qiuling Tao's Hit Papers
Peers
Comparison fields: 5 of 59
- Materials Chemistry 480
- Renewable Energy, Sustainability and the Environment 104
- Electrical and Electronic Engineering 338
- Polymers and Plastics 59
- Catalysis 29
Countries citing papers authored by Qiuling Tao
This map shows the geographic impact of Qiuling Tao'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 Qiuling Tao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qiuling Tao more than expected).
Fields of papers citing papers by Qiuling Tao
This network shows the impact of papers produced by Qiuling Tao. 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 Qiuling Tao. The network helps show where Qiuling Tao may publish in the future.
Co-authors
The 25 scholars most cited alongside Qiuling Tao, 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 | Machine learning for perovskite materials design and discovery Hit paper breakdown → | 2021 | 351 |
| 2 | 2021 | 111 | |
| 3 | 2021 | 56 | |
| 4 | 2021 | 45 | |
| 5 | 2021 | 26 | |
| 6 | 2021 | 16 | |
| 7 | 2025 | 8 | |
| 8 | 2023 | 5 | |
| 9 | 2025 | 3 | |
| 10 | 2025 | 2 | |
| 11 | 2025 | 1 |
About Qiuling Tao
Qiuling Tao is a scholar working on Electrical and Electronic Engineering, Materials Chemistry, Mechanical Engineering, Renewable Energy, Sustainability and the Environment and Biomedical Engineering, having authored 11 papers that have together received 624 indexed citations. Recurring topics across this work include Perovskite Materials and Applications (6 papers), Machine Learning in Materials Science (4 papers), High Temperature Alloys and Creep (4 papers), Additive Manufacturing Materials and Processes (3 papers), Advanced Materials Characterization Techniques (2 papers), Advanced Photocatalysis Techniques (2 papers), High Entropy Alloys Studies (2 papers) and Gas Sensing Nanomaterials and Sensors (1 paper). The work is most often cited by research in Materials Chemistry (480 citations), Renewable Energy, Sustainability and the Environment (104 citations), Electrical and Electronic Engineering (338 citations), Polymers and Plastics (59 citations) and Catalysis (29 citations). Qiuling Tao has collaborated with scholars based in China, Hong Kong and Japan. Frequent co-authors include Wencong Lu, Minjie Li, Pengcheng Xu, Tian Lu, Sheng Ye, Long Li, Xue Yang, Long Li, Shilin Zhang and Pengcheng Xu. Their work appears in journals such as npj Computational Materials, Computational Materials Science, The Journal of Physical Chemistry Letters, Journal of Material Science and Technology and The Journal of Physical Chemistry C.
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.