Yanpeng Ma

856 total citations · 5 hit papers
27 papers, 674 citations indexed

About

Yanpeng Ma is a scholar working on Ecology, Analytical Chemistry and Environmental Engineering. According to data from OpenAlex, Yanpeng Ma has authored 27 papers receiving a total of 674 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Ecology, 8 papers in Analytical Chemistry and 7 papers in Environmental Engineering. Recurrent topics in Yanpeng Ma's work include Remote Sensing in Agriculture (17 papers), Spectroscopy and Chemometric Analyses (8 papers) and Remote Sensing and LiDAR Applications (7 papers). Yanpeng Ma is often cited by papers focused on Remote Sensing in Agriculture (17 papers), Spectroscopy and Chemometric Analyses (8 papers) and Remote Sensing and LiDAR Applications (7 papers). Yanpeng Ma collaborates with scholars based in China, Germany and Taiwan. Yanpeng Ma's co-authors include Haikuan Feng, Yiguang Fan, Guijun Yang, Jibo Yue, Mingbo Bian, Riqiang Chen, Xiuliang Jin, Yang Liu, Yang Liu and Peng Li and has published in prestigious journals such as Journal of the American College of Cardiology, PLoS ONE and Frontiers in Plant Science.

In The Last Decade

Yanpeng Ma

25 papers receiving 656 citations

Hit Papers

5 papers align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Estimating potato above-ground biomass based on vegetation indices and texture features constructed from sensitive bands of UAV hyperspectral imagery

2024 65 citations Yang Liu, Yiguang Fan et al. Computers and Electronics in Agriculture profile →
Improving potato AGB estimation to mitigate phenological stage impacts through depth features from hyperspectral data

2024 57 citations Yang Liu, Haikuan Feng et al. Computers and Electronics in Agriculture profile →
Improving potato above ground biomass estimation combining hyperspectral data and harmonic decomposition techniques

2024 53 citations Yang Liu, Haikuan Feng et al. Computers and Electronics in Agriculture profile →
Utilizing UAV-based hyperspectral remote sensing combined with various agronomic traits to monitor potato growth and estimate yield

2025 30 citations Yang Liu, Haikuan Feng et al. Computers and Electronics in Agriculture profile →
Estimation of potato above-ground biomass based on the VGC-AGB model and deep learning

2025 15 citations Haikuan Feng, Yiguang Fan et al. Computers and Electronics in Agriculture profile →

Peers

Yanpeng Ma

ECOLO

Xudong Zhou China

Mohammad Reza Mobasheri Iran

Mengjiao Yang China

Shuaipeng Fei China

Fenghua Yu China

Riqiang Chen China

J. A. Landry Canada

Yidan Bao China

Sathishkumar Samiappan United States

Xudong Zhou China

Yanpeng Ma

337 ×0.8

ECOLO

188 ×0.7

183 ×1.0

81 ×0.5

67 ×0.5

Citations per year, relative to Yanpeng Ma Yanpeng Ma (= 1×) peers Xudong Zhou

Countries citing papers authored by Yanpeng Ma

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Feng, Haikuan, Yiguang Fan, Jibo Yue, et al.. (2025). Estimation of potato above-ground biomass based on the VGC-AGB model and deep learning. Computers and Electronics in Agriculture. 232. 110122–110122. 15 indexed citations breakdown →

Liu, Yang, Haikuan Feng, Yiguang Fan, et al.. (2025). Utilizing UAV-based hyperspectral remote sensing combined with various agronomic traits to monitor potato growth and estimate yield. Computers and Electronics in Agriculture. 231. 109984–109984. 30 indexed citations breakdown →

Feng, Haikuan, Yiguang Fan, Jibo Yue, et al.. (2025). Enhancing potato leaf protein content, carbon-based constituents, and leaf area index monitoring using radiative transfer model and deep learning. European Journal of Agronomy. 166. 127580–127580. 5 indexed citations

Liu, Yang, Yiguang Fan, Jibo Yue, et al.. (2025). UAV-based remote sensing estimation of above-ground biomass in different crops: A review. International Journal of Applied Earth Observation and Geoinformation. 144. 104938–104938.

Liu, Yang, Yiguang Fan, Jibo Yue, et al.. (2025). Combining multiple spectral preprocessing and wavelength optimization methods improves potato aboveground biomass estimation. Information Processing in Agriculture. 12(4). 511–521. 1 indexed citations

Liu, Yang, Yiguang Fan, Jibo Yue, et al.. (2024). A model suitable for estimating above-ground biomass of potatoes at different regional levels. Computers and Electronics in Agriculture. 222. 109081–109081. 38 indexed citations

Liu, Yang, Haikuan Feng, Jibo Yue, et al.. (2024). Improving potato AGB estimation to mitigate phenological stage impacts through depth features from hyperspectral data. Computers and Electronics in Agriculture. 219. 108808–108808. 57 indexed citations breakdown →

Liu, Yang, Jibo Yue, Wanxue Zhu, et al.. (2024). Crop canopy volume weighted by color parameters from UAV-based RGB imagery to estimate above-ground biomass of potatoes. Computers and Electronics in Agriculture. 227. 109678–109678. 31 indexed citations

Liu, Yang, Yiguang Fan, Yihan Yao, et al.. (2024). Estimation of potato leaf area index based on spectral information and Haralick textures from UAV hyperspectral images. Frontiers in Plant Science. 15. 1492372–1492372. 3 indexed citations

10.

Fan, Yiguang, Yang Liu, Jibo Yue, et al.. (2024). Estimation of potato yield using a semi-mechanistic model developed by proximal remote sensing and environmental variables. Computers and Electronics in Agriculture. 223. 109117–109117. 18 indexed citations

11.

Liu, Yang, Yiguang Fan, Haikuan Feng, et al.. (2024). Estimating potato above-ground biomass based on vegetation indices and texture features constructed from sensitive bands of UAV hyperspectral imagery. Computers and Electronics in Agriculture. 220. 108918–108918. 65 indexed citations breakdown →

12.

Liu, Yang, Haikuan Feng, Yiguang Fan, et al.. (2024). Improving potato above ground biomass estimation combining hyperspectral data and harmonic decomposition techniques. Computers and Electronics in Agriculture. 218. 108699–108699. 53 indexed citations breakdown →

13.

Liu, Yang, Haikuan Feng, Jibo Yue, et al.. (2023). Estimating potato above-ground biomass by using integrated unmanned aerial system-based optical, structural, and textural canopy measurements. Computers and Electronics in Agriculture. 213. 108229–108229. 75 indexed citations

14.

Wang, Xiqiang, Yanpeng Ma, Zhongwei Liu, et al.. (2023). Comparison of outcomes between transcatheter tricuspid valve repair and surgical tricuspid valve replacement or repair in patients with tricuspid insufficiency. Journal of Cardiothoracic Surgery. 18(1). 170–170. 12 indexed citations

15.

Fan, Yiguang, Haikuan Feng, Jibo Yue, et al.. (2023). Comparison of Different Dimensional Spectral Indices for Estimating Nitrogen Content of Potato Plants over Multiple Growth Periods. Remote Sensing. 15(3). 602–602. 17 indexed citations

16.

Bian, Mingbo, Zhichao Chen, Yiguang Fan, et al.. (2023). Integrating Spectral, Textural, and Morphological Data for Potato LAI Estimation from UAV Images. Agronomy. 13(12). 3070–3070. 9 indexed citations

17.

Liu, Yang, Haikuan Feng, Jibo Yue, et al.. (2023). Improved potato AGB estimates based on UAV RGB and hyperspectral images. Computers and Electronics in Agriculture. 214. 108260–108260. 77 indexed citations

18.

Li, Peng, Qian Kong, & Yanpeng Ma. (2014). Image Secret Sharing and Hiding with Authentication Based on PSNR Estimation.. J. Inf. Hiding Multim. Signal Process.. 5. 353–366. 9 indexed citations

19.

Wang, Guocheng, et al.. (2014). Morphological Background Detection and Illumination Normalization of Text Image with Poor Lighting. PLoS ONE. 9(11). e110991–e110991. 22 indexed citations

20.

Kong, Qian, Peng Li, & Yanpeng Ma. (2013). On the feasibility and security of image secret sharing scheme to identify cheaters. J. Inf. Hiding Multim. Signal Process.. 4. 225–232. 4 indexed citations

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.

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