Yanpeng Ma
- Ecology top 5%
- Plant Science top 10%
- Environmental Engineering top 5%
- Analytical Chemistry top 5%
- Atmospheric Science top 10%
- Topics
- Remote Sensing in Agriculture (17 papers)Spectroscopy and Chemometric Analyses (8 papers)Remote Sensing and LiDAR Applications (7 papers)
In The Last Decade
Yanpeng Ma
25 papers receiving 656 citations
Hit Papers
Peers
Comparison fields: 5 of 65
- Ecology 416
- Plant Science 254
- Environmental Engineering 179
- Analytical Chemistry 160
- Atmospheric Science 130
Countries citing papers authored by Yanpeng Ma
This map shows the geographic impact of Yanpeng Ma'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 Yanpeng Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yanpeng Ma more than expected).
Fields of papers citing papers by Yanpeng Ma
This network shows the impact of papers produced by Yanpeng Ma. 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 Yanpeng Ma. The network helps show where Yanpeng Ma may publish in the future.
Co-authorship network of co-authors of Yanpeng Ma
This figure shows the co-authorship network connecting the top 25 collaborators of Yanpeng Ma. A scholar is included among the top collaborators of Yanpeng Ma 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 Yanpeng Ma. Yanpeng Ma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Estimation of potato above-ground biomass based on the VGC-AGB model and deep learningbreakdown → | 15 |
| 2 | Utilizing UAV-based hyperspectral remote sensing combined with various agronomic traits to monitor potato growth and estimate yieldbreakdown → | 30 |
| 3 | 5 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 38 | |
| 7 | Improving potato AGB estimation to mitigate phenological stage impacts through depth features from hyperspectral databreakdown → | 57 |
| 8 | 31 | |
| 9 | 3 | |
| 10 | 18 | |
| 11 | Estimating potato above-ground biomass based on vegetation indices and texture features constructed from sensitive bands of UAV hyperspectral imagerybreakdown → | 65 |
| 12 | Improving potato above ground biomass estimation combining hyperspectral data and harmonic decomposition techniquesbreakdown → | 53 |
| 13 | 75 | |
| 14 | 12 | |
| 15 | 17 | |
| 16 | 9 | |
| 17 | 77 | |
| 18 | Image Secret Sharing and Hiding with Authentication Based on PSNR Estimation. | 9 |
| 19 | 22 | |
| 20 | On the feasibility and security of image secret sharing scheme to identify cheaters | 4 |
About Yanpeng Ma
Yanpeng Ma is a scholar working on Analytical Chemistry, Ecology and Environmental Engineering, having authored 27 papers that have together received 674 indexed citations. Recurring topics across this work include Remote Sensing in Agriculture (17 papers), Spectroscopy and Chemometric Analyses (8 papers) and Remote Sensing and LiDAR Applications (7 papers). The work is most often cited by research in Analytical Chemistry (160 citations), Ecology (416 citations) and Environmental Engineering (179 citations). Yanpeng Ma has collaborated with scholars based in China, Germany and Taiwan. Frequent co-authors include Haikuan Feng, Yiguang Fan, Guijun Yang, Jibo Yue, Mingbo Bian, Riqiang Chen, Xiuliang Jin, Yang Liu, Yang Liu and Peng Li. Their work appears in journals such as Journal of the American College of Cardiology, PLoS ONE and Frontiers in Plant Science.
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.