Xiaoping Yuan
Impact in
- Plant Science top 5%
- Rice Cultivation and Yield Improvement
- GABA and Rice Research
- Plant Disease Resistance and Genetics
- Plant responses to water stress
- Genetics and Plant Breeding
- Plant Molecular Biology Research
- Plant Stress Responses and Tolerance
- Genetics top 5%
- Genetic Mapping and Diversity in Plants and Animals
Papers in
-
- GABA and Rice Research 25
- Rice Cultivation and Yield Improvement 19
- Plant Disease Resistance and Genetics 11
- Genetics 35
- Genetic Mapping and Diversity in Plants and Animals 35
- Genetic and phenotypic traits in livestock 2
- Co-authors
- Xinghua Wei (39 shared papers)Qun Xu (37 shared papers)Hanyong Yu (28 shared papers)Feng Yue (21 shared papers)Yiping Wang (20 shared papers)Yaolong Yang (14 shared papers)Mengchen Zhang (17 shared papers)Caihong Wang (10 shared papers)
In The Last Decade
Xiaoping Yuan
54 papers receiving 774 citations
Peers
Comparison fields: 5 of 66
- Plant Science 674
- Genetics 442
- Endocrinology 13
- Computer Vision and Pattern Recognition 43
- Molecular Biology 126
Countries citing papers authored by Xiaoping Yuan
This map shows the geographic impact of Xiaoping Yuan'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 Xiaoping Yuan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoping Yuan more than expected).
Fields of papers citing papers by Xiaoping Yuan
This network shows the impact of papers produced by Xiaoping Yuan. 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 Xiaoping Yuan. The network helps show where Xiaoping Yuan may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaoping Yuan, 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 59 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 78 | |
| 2 | 2015 | 63 | |
| 3 | 2017 | 58 | |
| 4 | 2015 | 51 | |
| 5 | 2018 | 43 | |
| 6 | 2016 | 39 | |
| 7 | 2018 | 37 | |
| 8 | 2016 | 37 | |
| 9 | 2010 | 36 | |
| 10 | 2010 | 32 | |
| 11 | 2018 | 27 | |
| 12 | 2013 | 25 | |
| 13 | 2009 | 21 | |
| 14 | 2011 | 19 | |
| 15 | 2022 | 14 | |
| 16 | 2020 | 14 | |
| 17 | 2019 | 13 | |
| 18 | 2021 | 12 | |
| 19 | 2022 | 12 | |
| 20 | 2011 | 12 |
About Xiaoping Yuan
Xiaoping Yuan is a scholar working on Plant Science, Genetics, Molecular Biology, Control and Systems Engineering and Pharmacology, having authored 59 papers that have together received 792 indexed citations. Recurring topics across this work include Genetic Mapping and Diversity in Plants and Animals (35 papers), GABA and Rice Research (25 papers), Rice Cultivation and Yield Improvement (19 papers), Plant Disease Resistance and Genetics (11 papers), Genetic and phenotypic traits in livestock (2 papers), Advanced Algorithms and Applications (2 papers), Advanced Steganography and Watermarking Techniques (2 papers) and Plant Pathogens and Fungal Diseases (2 papers). The work is most often cited by research in Plant Science (674 citations), Genetics (442 citations), Endocrinology (13 citations), Computer Vision and Pattern Recognition (43 citations) and Molecular Biology (126 citations). Xiaoping Yuan has collaborated with scholars based in China, Taiwan and Malaysia. Frequent co-authors include Xinghua Wei, Qun Xu, Hanyong Yu, Feng Yue, Yiping Wang, Yaolong Yang, Mengchen Zhang, Caihong Wang, Xiaojun Niu and Tang Shengxiang. Their work appears in journals such as Rice Science, Frontiers in Plant Science, Planta, Rice and Journal of Affective Disorders.
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.