Yuanqi Du
- Electrical and Electronic Engineering
- Materials Chemistry
- Computational Theory and Mathematics top 5%
- Molecular Biology
- Artificial Intelligence
- Co-authors
- Liang ZhaoChenru DuanXiaojie GuoHaojun JiaYuval ShavittAmarda ShehuCharles B. HarrisArian R. Jamasb
- Topics
- Computational Drug Discovery Methods (14 papers)Machine Learning in Materials Science (13 papers)Protein Structure and Dynamics (8 papers)
- Partner nations
- United StatesChinaSweden
In The Last Decade
Yuanqi Du
36 papers receiving 517 citations
Hit Papers
Peers
Comparison fields: 5 of 92
- Electrical and Electronic Engineering 144
- Materials Chemistry 142
- Computational Theory and Mathematics 124
- Molecular Biology 112
- Artificial Intelligence 77
Countries citing papers authored by Yuanqi Du
This map shows the geographic impact of Yuanqi Du'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 Yuanqi Du with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuanqi Du more than expected).
Fields of papers citing papers by Yuanqi Du
This network shows the impact of papers produced by Yuanqi Du. 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 Yuanqi Du. The network helps show where Yuanqi Du may publish in the future.
Co-authorship network of co-authors of Yuanqi Du
This figure shows the co-authorship network connecting the top 25 collaborators of Yuanqi Du. A scholar is included among the top collaborators of Yuanqi Du based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yuanqi Du. Yuanqi Du is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 4 | |
| 4 | 9 | |
| 5 | Structure-based drug design with equivariant diffusion modelsbreakdown → | 52 |
| 6 | 28 | |
| 7 | 43 | |
| 8 | 4 | |
| 9 | 6 | |
| 10 | Property Controllable Variational Autoencoder via Invertible Mutual Dependence | 6 |
| 11 | GraphGT: Machine Learning Datasets for Graph Generation and Transformation | 7 |
| 12 | 77 | |
| 13 | 15 | |
| 14 | 8 | |
| 15 | 3 | |
| 16 | 7 | |
| 17 | 1 | |
| 18 | 1 | |
| 19 | 8 | |
| 20 | 13 |
About Yuanqi Du
Yuanqi Du is a scholar working on Computational Theory and Mathematics, Biophysics and Materials Chemistry, having authored 38 papers that have together received 533 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (14 papers), Machine Learning in Materials Science (13 papers) and Protein Structure and Dynamics (8 papers). The work is most often cited by research in Computational Theory and Mathematics (124 citations), Health Informatics (5 citations) and Materials Chemistry (142 citations). Yuanqi Du has collaborated with scholars based in United States, China and Sweden. Frequent co-authors include Liang Zhao, Chenru Duan, Xiaojie Guo, Haojun Jia, Yuval Shavitt, Amarda Shehu, Charles B. Harris, Arian R. Jamasb, Píetro Lió and Tom L. Blundell. Their work appears in journals such as Journal of the American Chemical Society, Bioinformatics and Molecules.
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.