Yaohang Li
- Molecular Biology top 5%
- Computational Theory and Mathematics top 0.2%
- Artificial Intelligence top 2%
- Cancer Research top 5%
- Materials Chemistry top 10%
- Topics
- Protein Structure and Dynamics (41 papers)Computational Drug Discovery Methods (35 papers)Machine Learning in Bioinformatics (26 papers)
- Partner nations
- United StatesChinaCanada
In The Last Decade
Yaohang Li
134 papers receiving 3.7k citations
Peers
Comparison fields: 5 of 162
- Molecular Biology 2.4k
- Computational Theory and Mathematics 1.5k
- Artificial Intelligence 534
- Cancer Research 485
- Materials Chemistry 394
Countries citing papers authored by Yaohang Li
This map shows the geographic impact of Yaohang Li'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 Yaohang Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yaohang Li more than expected).
Fields of papers citing papers by Yaohang Li
This network shows the impact of papers produced by Yaohang Li. 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 Yaohang Li. The network helps show where Yaohang Li may publish in the future.
Co-authorship network of co-authors of Yaohang Li
This figure shows the co-authorship network connecting the top 25 collaborators of Yaohang Li. A scholar is included among the top collaborators of Yaohang Li 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 Yaohang Li. Yaohang Li is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 18 | |
| 3 | 9 | |
| 4 | 6 | |
| 5 | 10 | |
| 6 | 5 | |
| 7 | 0 | |
| 8 | 55 | |
| 9 | 24 | |
| 10 | 16 | |
| 11 | 6 | |
| 12 | 9 | |
| 13 | 44 | |
| 14 | Understanding Mobile Banking Applications’ Security risks through Blog Mining and the Workflow Technology | 0 |
| 15 | Teaching Information Security with Workflow Technology - A Case Study Approach | 5 |
| 16 | A Sensor Information Framework for Integrating and Orchestrating Distributed Sensor Services. | 2 |
| 17 | 0 | |
| 18 | Path Planning for Unmanned Vehicles Using Ant Colony Optimization on a Dynamic Voronoi Diagram. | 5 |
| 19 | 1 | |
| 20 | GCIMCA: A Globus and SPRNG Implementation of a Grid-Computing Infrastructure for Monte Carlo Applications. | 3 |
About Yaohang Li
Yaohang Li is a scholar working on Computational Theory and Mathematics, Hardware and Architecture and Information Systems and Management, having authored 144 papers that have together received 3.8k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (41 papers), Computational Drug Discovery Methods (35 papers) and Machine Learning in Bioinformatics (26 papers). The work is most often cited by research in Computational Theory and Mathematics (1.5k citations), Computational Mathematics (34 citations) and Molecular Biology (2.4k citations). Yaohang Li has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Jianxin Wang, Min Li, Fang‐Xiang Wu, Mengyun Yang, Min Zeng, Yi Pan, Huimin Luo, Qichang Zhao, Fuhao Zhang and Ashraf Yaseen. Their work appears in journals such as Journal of the American Chemical Society, Nucleic Acids Research 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.