Dingyan Wang
Impact in
- Computational Theory and Mathematics top 0.2%
- Computational Drug Discovery Methods
- Polymers and Plastics top 10%
- Polymer composites and self-healing
Papers in
-
- Computational Drug Discovery Methods 29
-
- Wnt/β-catenin signaling in development and cancer 3
- Co-authors
- Mingyue Zheng (25 shared papers)Hualiang Jiang (16 shared papers)Xiaomin Luo (20 shared papers)Kaixian Chen (15 shared papers)Feisheng Zhong (9 shared papers)Xiaohong Liu (7 shared papers)Xutong Li (19 shared papers)Zhaoping Xiong (4 shared papers)
- Journals
- Journal of Medicinal Chemistry (5 papers)Journal of Cheminformatics (4 papers)Briefings in Bioinformatics (4 papers)Bioinformatics (2 papers)Nature Communications (2 papers)
- Partner nations
- ChinaCanadaUnited States
In The Last Decade
Dingyan Wang
50 papers receiving 2.7k citations
Dingyan Wang's Hit Papers
Peers
Comparison fields: 5 of 120
- Computational Theory and Mathematics 1.5k
- Polymers and Plastics 106
- Physical and Theoretical Chemistry 78
- Health Informatics 15
- Molecular Biology 395
Countries citing papers authored by Dingyan Wang
This map shows the geographic impact of Dingyan Wang'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 Dingyan Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dingyan Wang more than expected).
Fields of papers citing papers by Dingyan Wang
This network shows the impact of papers produced by Dingyan Wang. 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 Dingyan Wang. The network helps show where Dingyan Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Dingyan Wang, 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 55 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Pushing the Boundaries of Molecular Representation for Drug Discovery with the Graph Attention Mechanism Hit paper breakdown → | 2019 | 762 |
| 2 | TransformerCPI: improving compound–protein interaction prediction by sequence-based deep learning with self-attention mechanism and label reversal experiments Hit paper breakdown → | 2020 | 416 |
| 3 | Graph neural network approaches for drug-target interactions Hit paper breakdown → | 2022 | 139 |
| 4 | 2022 | 126 | |
| 5 | 2015 | 104 | |
| 6 | 2007 | 98 | |
| 7 | 2012 | 97 | |
| 8 | 2020 | 79 | |
| 9 | 2019 | 71 | |
| 10 | 2011 | 58 | |
| 11 | 2021 | 56 | |
| 12 | 2019 | 43 | |
| 13 | 2020 | 40 | |
| 14 | 2021 | 40 | |
| 15 | 2015 | 39 | |
| 16 | 2021 | 38 | |
| 17 | 2021 | 36 | |
| 18 | 2022 | 36 | |
| 19 | 2022 | 36 | |
| 20 | 2024 | 32 |
About Dingyan Wang
Dingyan Wang is a scholar working on Computational Theory and Mathematics, Molecular Biology, Immunology, Hematology and Physical and Theoretical Chemistry, having authored 55 papers that have together received 2.7k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (29 papers), Pancreatic function and diabetes (3 papers), T-cell and B-cell Immunology (3 papers), Multiple Myeloma Research and Treatments (3 papers), Wnt/β-catenin signaling in development and cancer (3 papers), Machine Learning in Materials Science (3 papers), Crystallography and molecular interactions (2 papers) and Privacy-Preserving Technologies in Data (2 papers). The work is most often cited by research in Computational Theory and Mathematics (1.5k citations), Polymers and Plastics (106 citations), Physical and Theoretical Chemistry (78 citations), Health Informatics (15 citations) and Molecular Biology (395 citations). Dingyan Wang has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Mingyue Zheng, Hualiang Jiang, Xiaomin Luo, Kaixian Chen, Feisheng Zhong, Xiaohong Liu, Xutong Li, Zhaoping Xiong, Xiaozhe Wan and Zhaojun Steven Li. Their work appears in journals such as Journal of Medicinal Chemistry, Journal of Cheminformatics, Briefings in Bioinformatics, Bioinformatics and Nature Communications.
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.