Yinhai Wang
- Molecular Biology
- Computational Theory and Mathematics top 0.5%
- Materials Chemistry top 10%
- Electrical and Electronic Engineering
- Artificial Intelligence top 5%
- Co-authors
- Hongming ChenThomas BlaschkeOla EngkvistMarcus OlivecronaGuowen MengLide ZhangChanghui YeZhi Jiang
- Topics
- Cell Image Analysis Techniques (10 papers)Gene expression and cancer classification (4 papers)Computational Drug Discovery Methods (4 papers)
- Journals
- Journal of the American Chemical SocietySHILAP Revista de lepidopterologíaPLoS ONE
- Partner nations
- United KingdomAustraliaChina
In The Last Decade
Yinhai Wang
26 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 161
- Molecular Biology 669
- Computational Theory and Mathematics 657
- Materials Chemistry 651
- Electrical and Electronic Engineering 235
- Artificial Intelligence 231
Countries citing papers authored by Yinhai Wang
This map shows the geographic impact of Yinhai 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 Yinhai Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yinhai Wang more than expected).
Fields of papers citing papers by Yinhai Wang
This network shows the impact of papers produced by Yinhai 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 Yinhai Wang. The network helps show where Yinhai Wang may publish in the future.
Co-authorship network of co-authors of Yinhai Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Yinhai Wang. A scholar is included among the top collaborators of Yinhai Wang 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 Yinhai Wang. Yinhai Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 12 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 2 | |
| 7 | 1 | |
| 8 | 4 | |
| 9 | 36 | |
| 10 | 32 | |
| 11 | 67 | |
| 12 | 27 | |
| 13 | The rise of deep learning in drug discoverybreakdown → | 1057 |
| 14 | 56 | |
| 15 | 6 | |
| 16 | 73 | |
| 17 | 12 | |
| 18 | 14 | |
| 19 | 7 | |
| 20 | 181 |
About Yinhai Wang
Yinhai Wang is a scholar working on Biophysics, Media Technology and Computational Theory and Mathematics, having authored 30 papers that have together received 1.8k indexed citations. Recurring topics across this work include Cell Image Analysis Techniques (10 papers), Gene expression and cancer classification (4 papers) and Computational Drug Discovery Methods (4 papers). The work is most often cited by research in Computational Theory and Mathematics (657 citations), Health Informatics (43 citations) and Biophysics (125 citations). Yinhai Wang has collaborated with scholars based in United Kingdom, Australia and China. Frequent co-authors include Hongming Chen, Thomas Blaschke, Ola Engkvist, Marcus Olivecrona, Guowen Meng, Lide Zhang, Changhui Ye, Zhi Jiang, Guozhong Wang and Zhi Jiang. Their work appears in journals such as Journal of the American Chemical Society, SHILAP Revista de lepidopterología and PLoS ONE.
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.