Xiaoying Yan
Impact in
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- Computational Drug Discovery Methods
Papers in
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- Bioinformatics and Genomic Networks 6
- Machine Learning in Bioinformatics 2
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- Computational Drug Discovery Methods 9
- Co-authors
- Shao‐Wu Zhang (5 shared papers)Robert W. Marans (1 shared paper)Song-Yao Zhang (1 shared paper)Jianzhu Li (2 shared papers)Yujie Li (2 shared papers)Hongyu Lu (1 shared paper)Jingxin Zhao (2 shared papers)Yan Zhang (1 shared paper)
- Journals
- Advanced Materials (2 papers)Functional Ecology (1 paper)Nature Communications (1 paper)Cardiovascular Research (1 paper)Science China Materials (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Xiaoying Yan
35 papers receiving 389 citations
Peers
Comparison fields: 5 of 110
- Computational Theory and Mathematics 104
- Pharmaceutical Science 25
- Building and Construction 29
- Pharmacology 19
- Molecular Biology 134
Countries citing papers authored by Xiaoying Yan
This map shows the geographic impact of Xiaoying Yan'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 Xiaoying Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoying Yan more than expected).
Fields of papers citing papers by Xiaoying Yan
This network shows the impact of papers produced by Xiaoying Yan. 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 Xiaoying Yan. The network helps show where Xiaoying Yan may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaoying Yan, 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 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 78 | |
| 2 | 2024 | 47 | |
| 3 | 2015 | 43 | |
| 4 | 2018 | 42 | |
| 5 | Lighting quality and environmental satisfaction in open and enclosed offices | 1989 | 38 |
| 6 | 2021 | 19 | |
| 7 | 2017 | 15 | |
| 8 | 2019 | 14 | |
| 9 | 2023 | 14 | |
| 10 | 2021 | 11 | |
| 11 | 2018 | 6 | |
| 12 | 2021 | 6 | |
| 13 | 2016 | 6 | |
| 14 | 2017 | 6 | |
| 15 | 2024 | 5 | |
| 16 | 2001 | 5 | |
| 17 | 2021 | 5 | |
| 18 | 2023 | 4 | |
| 19 | 2017 | 4 | |
| 20 | 2015 | 4 |
About Xiaoying Yan
Xiaoying Yan is a scholar working on Molecular Biology, Computational Theory and Mathematics, Electrical and Electronic Engineering, Public Health, Environmental and Occupational Health and Immunology, having authored 44 papers that have together received 397 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (9 papers), Bioinformatics and Genomic Networks (6 papers), Advanced Battery Materials and Technologies (3 papers), Advanced battery technologies research (3 papers), Immunotherapy and Immune Responses (2 papers), Pelvic floor disorders treatments (2 papers), Machine Learning in Bioinformatics (2 papers) and Energy Efficient Wireless Sensor Networks (2 papers). The work is most often cited by research in Computational Theory and Mathematics (104 citations), Pharmaceutical Science (25 citations), Building and Construction (29 citations), Pharmacology (19 citations) and Molecular Biology (134 citations). Xiaoying Yan has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Shao‐Wu Zhang, Robert W. Marans, Song-Yao Zhang, Jianzhu Li, Yujie Li, Hongyu Lu, Jingxin Zhao, Yan Zhang, Bingang Xu and Kaiqi Zhang. Their work appears in journals such as Advanced Materials, Functional Ecology, Nature Communications, Cardiovascular Research and Science China Materials.
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.