Jiahua Wu
- Plant Science top 10%
- Computer Vision and Pattern Recognition top 10%
- Analytical Chemistry top 10%
- Aerospace Engineering
- Industrial and Manufacturing Engineering top 10%
- Co-authors
- Jiqing ChenZhikui WangChaoyang ZhaoTeng LongJieren ChengR.D. TillettXiangyan TangXiangyang Ju
- Topics
- Smart Agriculture and AI (9 papers)3D Shape Modeling and Analysis (4 papers)Remote Sensing and Land Use (4 papers)
- Journals
- IEEE Transactions on Vehicular TechnologyIEEE Transactions on Neural Networks and Learning SystemsComputers and Electronics in Agriculture
- Partner nations
- ChinaUnited KingdomBulgaria
In The Last Decade
Jiahua Wu
20 papers receiving 302 citations
Peers
Comparison fields: 5 of 61
- Plant Science 214
- Computer Vision and Pattern Recognition 66
- Analytical Chemistry 41
- Aerospace Engineering 31
- Industrial and Manufacturing Engineering 28
Countries citing papers authored by Jiahua Wu
This map shows the geographic impact of Jiahua 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 Jiahua Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jiahua Wu more than expected).
Fields of papers citing papers by Jiahua Wu
This network shows the impact of papers produced by Jiahua 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 Jiahua Wu. The network helps show where Jiahua Wu may publish in the future.
Co-authorship network of co-authors of Jiahua Wu
This figure shows the co-authorship network connecting the top 25 collaborators of Jiahua Wu. A scholar is included among the top collaborators of Jiahua Wu 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 Jiahua Wu. Jiahua Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 0 | |
| 3 | 9 | |
| 4 | 18 | |
| 5 | 14 | |
| 6 | 2 | |
| 7 | 33 | |
| 8 | 21 | |
| 9 | 44 | |
| 10 | 4 | |
| 11 | 4 | |
| 12 | 79 | |
| 13 | 46 | |
| 14 | 5 | |
| 15 | 1 | |
| 16 | 11 | |
| 17 | 4 | |
| 18 | 5 | |
| 19 | EXTRACTING MORPHOLOGICAL DATA FROM 3D IMAGES OF PIGS | 2 |
| 20 | 1 |
About Jiahua Wu
Jiahua Wu is a scholar working on Computer Vision and Pattern Recognition, Analytical Chemistry and Computer Graphics and Computer-Aided Design, having authored 21 papers that have together received 319 indexed citations. Recurring topics across this work include Smart Agriculture and AI (9 papers), 3D Shape Modeling and Analysis (4 papers) and Remote Sensing and Land Use (4 papers). The work is most often cited by research in Plant Science (214 citations), Analytical Chemistry (41 citations) and Computer Vision and Pattern Recognition (66 citations). Jiahua Wu has collaborated with scholars based in China, United Kingdom and Bulgaria. Frequent co-authors include Jiqing Chen, Zhikui Wang, Chaoyang Zhao, Teng Long, Jieren Cheng, R.D. Tillett, Xiangyan Tang, Xiangyang Ju, Jingxin Liu and J. Paul Siebert. Their work appears in journals such as IEEE Transactions on Vehicular Technology, IEEE Transactions on Neural Networks and Learning Systems and Computers and Electronics in Agriculture.
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.