Yaohua Hu
- Plant Science top 10%
- Computer Vision and Pattern Recognition top 10%
- Molecular Biology
- Ecology top 10%
- Biomedical Engineering
- Co-authors
- Zhouzhou ZhengHongyi LiZhelong WangHailian DuNianzhi JiaoYonghui ZengYuxiang HuangYong He
- Topics
- Smart Agriculture and AI (10 papers)Remote Sensing and Land Use (8 papers)Tree Root and Stability Studies (6 papers)
- Cited by
- Computer Vision and Pattern RecognitionHuman-Computer InteractionIndustrial and Manufacturing Engineering
- Journals
- SHILAP Revista de lepidopterologíaMolecular and Cellular BiologyIEEE Transactions on Biomedical Engineering
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Yaohua Hu
38 papers receiving 731 citations
Peers
Comparison fields: 5 of 129
- Plant Science 195
- Computer Vision and Pattern Recognition 141
- Molecular Biology 131
- Ecology 128
- Biomedical Engineering 63
Countries citing papers authored by Yaohua Hu
This map shows the geographic impact of Yaohua Hu'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 Yaohua Hu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yaohua Hu more than expected).
Fields of papers citing papers by Yaohua Hu
This network shows the impact of papers produced by Yaohua Hu. 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 Yaohua Hu. The network helps show where Yaohua Hu may publish in the future.
Co-authorship network of co-authors of Yaohua Hu
This figure shows the co-authorship network connecting the top 25 collaborators of Yaohua Hu. A scholar is included among the top collaborators of Yaohua Hu 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 Yaohua Hu. Yaohua Hu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 4 | |
| 6 | 7 | |
| 7 | 2 | |
| 8 | 2 | |
| 9 | 18 | |
| 10 | 3 | |
| 11 | 7 | |
| 12 | 7 | |
| 13 | 33 | |
| 14 | 13 | |
| 15 | 9 | |
| 16 | 6 | |
| 17 | 27 | |
| 18 | 8 | |
| 19 | 120 | |
| 20 | Effect of Rearing Conditions on Carcass and Pork Quality Attributes of Finishing Pigs | 1 |
About Yaohua Hu
Yaohua Hu is a scholar working on Atmospheric Science, Plant Science and Endocrinology, having authored 42 papers that have together received 750 indexed citations. Recurring topics across this work include Smart Agriculture and AI (10 papers), Remote Sensing and Land Use (8 papers) and Tree Root and Stability Studies (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (141 citations), Human-Computer Interaction (34 citations) and Industrial and Manufacturing Engineering (54 citations). Yaohua Hu has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Zhouzhou Zheng, Hongyi Li, Zhelong Wang, Hailian Du, Nianzhi Jiao, Yonghui Zeng, Yuxiang Huang, Yong He, Michelle A. Detry and Xifeng Wu. Their work appears in journals such as SHILAP Revista de lepidopterología, Molecular and Cellular Biology and IEEE Transactions on Biomedical Engineering.
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.