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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- Machine Learning in Materials Science 4
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- High Temperature Alloys and Creep 4
- Additive Manufacturing Materials and Processes 3
- High Entropy Alloys Studies 2
- Co-authors
- Minjie Li (6 shared papers)Wencong Lu (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 741 citations
Qiuling Tao's Hit Papers
Peers
Comparison fields: 5 of 60
- Materials Chemistry 531
- Renewable Energy, Sustainability and the Environment 113
- Electrical and Electronic Engineering 386
- Polymers and Plastics 67
- Catalysis 30
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 | 427 |
| 2 | 2021 | 129 | |
| 3 | 2021 | 64 | |
| 4 | 2021 | 49 | |
| 5 | 2021 | 28 | |
| 6 | 2021 | 16 | |
| 7 | 2025 | 15 | |
| 8 | 2025 | 11 | |
| 9 | 2023 | 6 | |
| 10 | 2025 | 6 | |
| 11 | 2025 | 3 | |
| 12 | 2026 | 0 |
About Qiuling Tao
Qiuling Tao is a scholar working on Materials Chemistry, Mechanical Engineering, Electrical and Electronic Engineering, Renewable Energy, Sustainability and the Environment and Polymers and Plastics, having authored 12 papers that have together received 754 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), High Entropy Alloys Studies (2 papers), Advanced Photocatalysis Techniques (2 papers), Advanced Materials Characterization Techniques (2 papers) and Gas Sensing Nanomaterials and Sensors (1 paper). The work is most often cited by research in Materials Chemistry (531 citations), Renewable Energy, Sustainability and the Environment (113 citations), Electrical and Electronic Engineering (386 citations), Polymers and Plastics (67 citations) and Catalysis (30 citations). Qiuling Tao has collaborated with scholars based in China, Hong Kong and Japan. Frequent co-authors include Minjie Li, Wencong Lu, Pengcheng Xu, Tian Lu, Sheng Ye, Long Li, Xue Yang, Long Li, Pengcheng Xu and Shilin Zhang. Their work appears in journals such as Computational Materials Science, npj Computational Materials, Science China Materials, Journal of Materials Research and Technology and Journal of Energy Chemistry.
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.