Qingyi Yang
Impact in
-
- Computational Drug Discovery Methods
- Polymers and Plastics top 10%
- Conducting polymers and applications
Papers in
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- Protein Structure and Dynamics 4
- DNA and Nucleic Acid Chemistry 4
-
- Machine Learning in Materials Science 5
- Co-authors
- Furong Zhu (8 shared papers)Kim A. Sharp (3 shared papers)Vishnu Sresht (3 shared papers)Xinjun Hou (5 shared papers)Alpha A. Lee (5 shared papers)Bo Wu (3 shared papers)Christopher R. Butler (3 shared papers)Jacquelyn Klug‐McLeod (3 shared papers)
- Journals
- Nature Communications (2 papers)Organic Electronics (2 papers)Journal of Computational Chemistry (2 papers)Journal of Chemical Information and Modeling (2 papers)Nature Chemistry (1 paper)
- Partner nations
- United StatesChinaHong Kong
In The Last Decade
Qingyi Yang
29 papers receiving 859 citations
Peers
Comparison fields: 5 of 90
- Computational Theory and Mathematics 193
- Polymers and Plastics 160
- Pharmaceutical Science 48
- Materials Chemistry 317
- Toxicology 22
Countries citing papers authored by Qingyi Yang
This map shows the geographic impact of Qingyi Yang'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 Qingyi Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qingyi Yang more than expected).
Fields of papers citing papers by Qingyi Yang
This network shows the impact of papers produced by Qingyi Yang. 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 Qingyi Yang. The network helps show where Qingyi Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Qingyi Yang, 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 89 | |
| 2 | 2019 | 66 | |
| 3 | 2013 | 54 | |
| 4 | 2022 | 54 | |
| 5 | 2016 | 53 | |
| 6 | 2016 | 52 | |
| 7 | 2013 | 44 | |
| 8 | 2017 | 43 | |
| 9 | 2007 | 42 | |
| 10 | 2022 | 32 | |
| 11 | 2014 | 30 | |
| 12 | 2014 | 29 | |
| 13 | 2024 | 26 | |
| 14 | 2013 | 26 | |
| 15 | 2019 | 23 | |
| 16 | 2015 | 23 | |
| 17 | 2019 | 22 | |
| 18 | 2019 | 22 | |
| 19 | 2014 | 21 | |
| 20 | 2008 | 20 |
About Qingyi Yang
Qingyi Yang is a scholar working on Molecular Biology, Materials Chemistry, Electrical and Electronic Engineering, Computational Theory and Mathematics and Polymers and Plastics, having authored 33 papers that have together received 871 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (7 papers), Organic Electronics and Photovoltaics (6 papers), Conducting polymers and applications (5 papers), Machine Learning in Materials Science (5 papers), Protein Structure and Dynamics (4 papers), DNA and Nucleic Acid Chemistry (4 papers), Innovative Microfluidic and Catalytic Techniques Innovation (3 papers) and Organic Light-Emitting Diodes Research (3 papers). The work is most often cited by research in Computational Theory and Mathematics (193 citations), Polymers and Plastics (160 citations), Pharmaceutical Science (48 citations), Materials Chemistry (317 citations) and Toxicology (22 citations). Qingyi Yang has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Furong Zhu, Kim A. Sharp, Vishnu Sresht, Xinjun Hou, Alpha A. Lee, Bo Wu, Christopher R. Butler, Jacquelyn Klug‐McLeod, Jun Lin and Zhenghui Wu. Their work appears in journals such as Nature Communications, Organic Electronics, Journal of Computational Chemistry, Journal of Chemical Information and Modeling and Nature 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.