Ya Xiong
- Plant Science top 5%
- Radiology, Nuclear Medicine and Imaging top 5%
- Mechanical Engineering top 10%
- Biomedical Engineering
- Analytical Chemistry top 5%
- Co-authors
- Pål Johan FromYuanyue GeLars GrimstadVolkan IslerCheng PengKâmil UǧurbilG. PathRobert J. Bache
- Topics
- Smart Agriculture and AI (14 papers)Plant Disease Management Techniques (3 papers)Robotics and Sensor-Based Localization (3 papers)
- Partner nations
- NorwayChinaUnited States
In The Last Decade
Ya Xiong
21 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 90
- Plant Science 716
- Radiology, Nuclear Medicine and Imaging 264
- Mechanical Engineering 215
- Biomedical Engineering 145
- Analytical Chemistry 88
Countries citing papers authored by Ya Xiong
This map shows the geographic impact of Ya Xiong'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 Ya Xiong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ya Xiong more than expected).
Fields of papers citing papers by Ya Xiong
This network shows the impact of papers produced by Ya Xiong. 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 Ya Xiong. The network helps show where Ya Xiong may publish in the future.
Co-authorship network of co-authors of Ya Xiong
This figure shows the co-authorship network connecting the top 25 collaborators of Ya Xiong. A scholar is included among the top collaborators of Ya Xiong 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 Ya Xiong. Ya Xiong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 12 | |
| 7 | 27 | |
| 8 | 47 | |
| 9 | 6 | |
| 10 | 39 | |
| 11 | 8 | |
| 12 | An autonomous strawberry‐harvesting robot: Design, development, integration, and field evaluationbreakdown → | 287 |
| 13 | 200 | |
| 14 | 35 | |
| 15 | 32 | |
| 16 | 79 | |
| 17 | Analysis and Modification of Interaction between Wiper Mechanism and Billhook Mechanism for Knotter | 1 |
| 18 | 1 | |
| 19 | [Quantitative evaluation of myocardial perfusion with ultrafast magnetic resonance tomography]. | 2 |
| 20 | 268 |
About Ya Xiong
Ya Xiong is a scholar working on Plant Science, Media Technology and Analytical Chemistry, having authored 25 papers that have together received 1.2k indexed citations. Recurring topics across this work include Smart Agriculture and AI (14 papers), Plant Disease Management Techniques (3 papers) and Robotics and Sensor-Based Localization (3 papers). The work is most often cited by research in Plant Science (716 citations), Radiology, Nuclear Medicine and Imaging (264 citations) and Analytical Chemistry (88 citations). Ya Xiong has collaborated with scholars based in Norway, China and United States. Frequent co-authors include Pål Johan From, Yuanyue Ge, Lars Grimstad, Volkan Isler, Cheng Peng, Kâmil Uǧurbil, G. Path, Robert J. Bache, Norbert Wilke and Hellmut Merkle. Their work appears in journals such as Magnetic Resonance in Medicine, IEEE Access 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.