Yuedong Yang
Impact in
- Computational Theory and Mathematics top 0.2%
- Computational Drug Discovery Methods
- Health Informatics top 1%
Papers in
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- Computational Drug Discovery Methods 47
-
- Protein Structure and Dynamics 65
- RNA and protein synthesis mechanisms 56
- Machine Learning in Bioinformatics 41
- Bioinformatics and Genomic Networks 25
- RNA modifications and cancer 21
- Co-authors
- Yaoqi ZhouKuldip K. PaliwalShuangjia ZhengHuiying ZhaoRhys HeffernanEshel FaraggiJack HansonJihua Wang
- Journals
- Briefings in Bioinformatics (19 papers)Bioinformatics (16 papers)Journal of Chemical Information and Modeling (13 papers)Journal of Computational Chemistry (13 papers)Proteins Structure Function and Bioinformatics (8 papers)
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Yuedong Yang
203 papers receiving 7.6k citations
Hit Papers
Peers
Comparison fields: 5 of 179
- Computational Theory and Mathematics 1.8k
- Health Informatics 129
- Molecular Biology 5.9k
- Materials Chemistry 1.6k
- Radiology, Nuclear Medicine and Imaging 707
Countries citing papers authored by Yuedong Yang
This map shows the geographic impact of Yuedong 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 Yuedong Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuedong Yang more than expected).
Fields of papers citing papers by Yuedong Yang
This network shows the impact of papers produced by Yuedong 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 Yuedong Yang. The network helps show where Yuedong Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Yuedong 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
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 23 | |
| 2 | 2024 | 20 | |
| 3 | 2024 | 0 | |
| 4 | 2023 | 1 | |
| 5 | 2023 | 3 | |
| 6 | 2023 | 31 | |
| 7 | 2022 | 34 | |
| 8 | 2022 | 16 | |
| 9 | 2022 | 97 | |
| 10 | 2022 | 7 | |
| 11 | 2021 | 19 | |
| 12 | 2021 | 77 | |
| 13 | 2021 | 13 | |
| 14 | 2021 | 16 | |
| 15 | 2021 | 21 | |
| 16 | 2020 | 6 | |
| 17 | Mental Health Problems in Chinese Healthcare Workers Exposed to Workplace Violence During the COVID-19 Outbreak: A Cross-Sectional Study Using Propensity Score Matching Analysis | 2020 | 1 |
| 18 | 2019 | 9 | |
| 19 | 2017 | 3 | |
| 20 | 2013 | 33 |
About Yuedong Yang
Yuedong Yang is a scholar working on Computational Theory and Mathematics, Molecular Biology, Biophysics, Materials Chemistry and Cancer Research, having authored 211 papers that have together received 7.7k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (65 papers), RNA and protein synthesis mechanisms (56 papers), Computational Drug Discovery Methods (47 papers), Machine Learning in Bioinformatics (41 papers), Enzyme Structure and Function (28 papers), Bioinformatics and Genomic Networks (25 papers), Machine Learning in Materials Science (21 papers) and RNA modifications and cancer (21 papers). The work is most often cited by research in Computational Theory and Mathematics (1.8k citations), Health Informatics (129 citations), Molecular Biology (5.9k citations), Materials Chemistry (1.6k citations) and Radiology, Nuclear Medicine and Imaging (707 citations). Yuedong Yang has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Yaoqi Zhou, Kuldip K. Paliwal, Shuangjia Zheng, Huiying Zhao, Rhys Heffernan, Huiying Zhao, Eshel Faraggi, Jack Hanson, Jihua Wang and Jiahua Rao. Their work appears in journals such as Briefings in Bioinformatics, Bioinformatics, Journal of Chemical Information and Modeling, Journal of Computational Chemistry and Proteins Structure Function and Bioinformatics.
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.