Dongyang Wu
Impact in
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- Smart Agriculture and AI
Papers in
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- Genomics and Phylogenetic Studies 8
- Photosynthetic Processes and Mechanisms 2
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- Video Surveillance and Tracking Methods 3
- Advanced Neural Network Applications 2
- Co-authors
- Ning Ye (9 shared papers)Yiqing Xu (4 shared papers)Changwei Bi (4 shared papers)Qiaolin Ye (3 shared papers)Xuelin Wang (3 shared papers)Andrew H. Paterson (1 shared paper)Juan Li (1 shared paper)Yanshu Qu (1 shared paper)
- Journals
- Forests (2 papers)SpringerPlus (1 paper)BioMed Research International (1 paper)Electronics (1 paper)Remote Sensing (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Dongyang Wu
18 papers receiving 292 citations
Peers
Comparison fields: 5 of 57
- Horticulture 4
- Plant Science 116
- Analytical Chemistry 28
- Molecular Biology 174
- Agronomy and Crop Science 17
Countries citing papers authored by Dongyang Wu
This map shows the geographic impact of Dongyang Wu'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 Dongyang Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dongyang Wu more than expected).
Fields of papers citing papers by Dongyang Wu
This network shows the impact of papers produced by Dongyang Wu. 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 Dongyang Wu. The network helps show where Dongyang Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Dongyang Wu, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 86 | |
| 2 | 2017 | 68 | |
| 3 | 2019 | 65 | |
| 4 | 2016 | 17 | |
| 5 | 2015 | 7 | |
| 6 | 2024 | 6 | |
| 7 | 2020 | 6 | |
| 8 | 2010 | 6 | |
| 9 | 2017 | 5 | |
| 10 | 2008 | 5 | |
| 11 | 2024 | 4 | |
| 12 | 2024 | 4 | |
| 13 | 2019 | 4 | |
| 14 | 2019 | 4 | |
| 15 | 2022 | 3 | |
| 16 | 2023 | 3 | |
| 17 | 2008 | 2 | |
| 18 | 2024 | 1 | |
| 19 | 2025 | 0 | |
| 20 | 2019 | 0 |
About Dongyang Wu
Dongyang Wu is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition, Plant Science, Industrial and Manufacturing Engineering and Agronomy and Crop Science, having authored 21 papers that have together received 296 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (8 papers), Industrial Vision Systems and Defect Detection (3 papers), Video Surveillance and Tracking Methods (3 papers), Plant Pathogens and Fungal Diseases (2 papers), Photosynthetic Processes and Mechanisms (2 papers), Bioenergy crop production and management (2 papers), Advanced Neural Network Applications (2 papers) and Genetic diversity and population structure (2 papers). The work is most often cited by research in Horticulture (4 citations), Plant Science (116 citations), Analytical Chemistry (28 citations), Molecular Biology (174 citations) and Agronomy and Crop Science (17 citations). Dongyang Wu has collaborated with scholars based in China and United States. Frequent co-authors include Ning Ye, Yiqing Xu, Changwei Bi, Qiaolin Ye, Xuelin Wang, Andrew H. Paterson, Juan Li, Yanshu Qu, Xuelin Wang and Anna Jiang. Their work appears in journals such as Forests, SpringerPlus, BioMed Research International, Electronics and Remote Sensing.
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.