Xiaodong Yang
- Ecology top 1%
- Plant Science top 1%
- Environmental Engineering top 1%
- Analytical Chemistry top 0.5%
- Global and Planetary Change top 5%
- Topics
- Remote Sensing in Agriculture (35 papers)Remote Sensing and LiDAR Applications (18 papers)Smart Agriculture and AI (15 papers)
- Journals
- SHILAP Revista de lepidopterologíaLangmuirScientific Reports
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Xiaodong Yang
54 papers receiving 2.8k citations
Hit Papers
Peers
Comparison fields: 5 of 117
- Ecology 1.9k
- Plant Science 1.7k
- Environmental Engineering 945
- Analytical Chemistry 590
- Global and Planetary Change 374
Countries citing papers authored by Xiaodong Yang
This map shows the geographic impact of Xiaodong Yang'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 Xiaodong Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaodong Yang more than expected).
Fields of papers citing papers by Xiaodong Yang
This network shows the impact of papers produced by Xiaodong Yang. 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 Xiaodong Yang. The network helps show where Xiaodong Yang may publish in the future.
Co-authorship network of co-authors of Xiaodong Yang
This figure shows the co-authorship network connecting the top 25 collaborators of Xiaodong Yang. A scholar is included among the top collaborators of Xiaodong Yang 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 Xiaodong Yang. Xiaodong Yang 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 | 2 | |
| 3 | 26 | |
| 4 | 23 | |
| 5 | 24 | |
| 6 | 35 | |
| 7 | 19 | |
| 8 | 39 | |
| 9 | 30 | |
| 10 | 13 | |
| 11 | Modeling maize above-ground biomass based on machine learning approaches using UAV remote-sensing databreakdown → | 324 |
| 12 | 24 | |
| 13 | 35 | |
| 14 | 95 | |
| 15 | 71 | |
| 16 | Unmanned Aerial Vehicle Remote Sensing for Field-Based Crop Phenotyping: Current Status and Perspectivesbreakdown → | 561 |
| 17 | 2 | |
| 18 | Radar polarimetric response features and remote sensing monitoring of wheat lodging. | 12 |
| 19 | Growth monitoring of winter wheat in Beijing area based on HJ-1A HSI data | 1 |
| 20 | 19 |
About Xiaodong Yang
Xiaodong Yang is a scholar working on Environmental Engineering, Ecology and Analytical Chemistry, having authored 55 papers that have together received 2.9k indexed citations. Recurring topics across this work include Remote Sensing in Agriculture (35 papers), Remote Sensing and LiDAR Applications (18 papers) and Smart Agriculture and AI (15 papers). The work is most often cited by research in Ecology (1.9k citations), Environmental Engineering (945 citations) and Analytical Chemistry (590 citations). Xiaodong Yang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Guijun Yang, Bo Xu, Haikuan Feng, Zhenhai Li, Hao Yang, Liang Han, Chunjiang Zhao, Xiaoqing Zhao, Haiyang Yu and Jiangang Liu. Their work appears in journals such as SHILAP Revista de lepidopterología, Langmuir and Scientific Reports.
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.