Xinming Ma

1.0k total citations
63 papers, 695 citations indexed

About

Xinming Ma is a scholar working on Plant Science, Ecology and Analytical Chemistry. According to data from OpenAlex, Xinming Ma has authored 63 papers receiving a total of 695 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Plant Science, 23 papers in Ecology and 11 papers in Analytical Chemistry. Recurrent topics in Xinming Ma's work include Remote Sensing in Agriculture (21 papers), Smart Agriculture and AI (14 papers) and Spectroscopy and Chemometric Analyses (11 papers). Xinming Ma is often cited by papers focused on Remote Sensing in Agriculture (21 papers), Smart Agriculture and AI (14 papers) and Spectroscopy and Chemometric Analyses (11 papers). Xinming Ma collaborates with scholars based in China, United States and United Kingdom. Xinming Ma's co-authors include Hongbo Qiao, Lei Xi, Wei Guo, Lei Shi, Tao Cheng, Xin Xu, Guijun Yang, Yimin Xie, Shuping Xiong and Haikuan Feng and has published in prestigious journals such as Scientific Reports, Expert Systems with Applications and Journal of Applied Ecology.

In The Last Decade

Xinming Ma

50 papers receiving 672 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Xinming Ma China 14 383 353 196 133 89 63 695
Yuanyuan Fu China 18 492 1.3× 517 1.5× 217 1.1× 269 2.0× 61 0.7× 41 998
Anna Chlingaryan Australia 10 682 1.8× 481 1.4× 209 1.1× 176 1.3× 92 1.0× 22 1.2k
Tongyu Xu China 16 394 1.0× 285 0.8× 226 1.2× 144 1.1× 39 0.4× 81 750
Hongbo Qiao China 16 433 1.1× 378 1.1× 203 1.0× 152 1.1× 64 0.7× 72 902
Fenghua Yu China 16 325 0.8× 272 0.8× 151 0.8× 109 0.8× 48 0.5× 58 600
Xanthoula Eirini Pantazi Greece 14 800 2.1× 362 1.0× 297 1.5× 143 1.1× 45 0.5× 28 1.1k
Rebecca L. Whetton Belgium 12 632 1.7× 370 1.0× 390 2.0× 324 2.4× 161 1.8× 19 1.2k
Shengping Liu China 10 252 0.7× 235 0.7× 73 0.4× 98 0.7× 34 0.4× 41 563
Juncheng Ma China 16 916 2.4× 333 0.9× 346 1.8× 86 0.6× 55 0.6× 46 1.2k
Mengjiao Yang China 11 546 1.4× 470 1.3× 91 0.5× 225 1.7× 53 0.6× 23 894

Countries citing papers authored by Xinming Ma

Since Specialization
Citations

This map shows the geographic impact of Xinming 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 Xinming Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xinming Ma more than expected).

Fields of papers citing papers by Xinming Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xinming 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 Xinming Ma. The network helps show where Xinming Ma may publish in the future.

Co-authorship network of co-authors of Xinming Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Xinming Ma. A scholar is included among the top collaborators of Xinming 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 Xinming Ma. Xinming Ma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Wu, Qiang, Jianbo Qi, Guijun Yang, et al.. (2025). A robust two-stage framework for maize above-ground biomass prediction integrating spectral remote sensing and allometric growth model. Computers and Electronics in Agriculture. 235. 110398–110398.
2.
Geng, Qing, Xin Xu, Xinming Ma, et al.. (2025). WSG-P2PNet: A deep learning framework for counting and locating wheat spike grains in the open field environment. Computers and Electronics in Agriculture. 235. 110314–110314.
3.
Xu, Xin, et al.. (2025). Digital twin-based winter wheat growth simulation and optimization. Field Crops Research. 329. 109953–109953.
4.
Yang, Guijun, et al.. (2024). Recognition of wheat rusts in a field environment based on improved DenseNet. Biosystems Engineering. 238. 10–21. 26 indexed citations
5.
Zhang, Chengjian, Haikuan Feng, Huiling Long, et al.. (2024). Real-time monitoring of maize phenology with the VI-RGS composite index using time-series UAV remote sensing images and meteorological data. Computers and Electronics in Agriculture. 224. 109212–109212. 17 indexed citations
6.
Yue, Jibo, Guijun Yang, Changchun Li, et al.. (2024). Analyzing winter-wheat biochemical traits using hyperspectral remote sensing and deep learning. Computers and Electronics in Agriculture. 222. 109026–109026. 16 indexed citations
7.
Geng, Qing, et al.. (2024). A rapid, low-cost wheat spike grain segmentation and counting system based on deep learning and image processing. European Journal of Agronomy. 156. 127158–127158. 9 indexed citations
8.
Xu, Xin, et al.. (2023). Segmentation and counting of wheat spike grains based on deep learning and textural feature. Plant Methods. 19(1). 77–77. 20 indexed citations
9.
Xu, Xin, Hongbo Qiao, Xinming Ma, et al.. (2023). An automatic wheat ear counting model based on the minimum area intersection ratio algorithm and transfer learning. Measurement. 216. 112849–112849. 15 indexed citations
10.
Xu, Xin, et al.. (2021). Water Stress is a Key Factor Influencing the Parameter Sensitivity of the WOFOST Model in Different Agro-Meteorological Conditions. International Journal of Plant Production. 15(2). 231–242. 11 indexed citations
11.
Xu, Xin, Haiyang Li, Fei Yin, et al.. (2020). Wheat ear counting using K-means clustering segmentation and convolutional neural network. Plant Methods. 16(1). 106–106. 71 indexed citations
12.
Shi, Lei, et al.. (2015). Approach of hybrid soft computing for agricultural data classification. International journal of agricultural and biological engineering. 8(6). 54–61. 5 indexed citations
13.
14.
Xi, Lei, et al.. (2012). Distributed metadata service system of certification resource sharing of pollution-free agricultural products. Nongye gongcheng xuebao. 2012(8). 1 indexed citations
15.
Ma, Xinming, et al.. (2011). A study on hyperspectral estimating models of Tobacco Leaf Area Index. African Journal of Agricultural Research. 6(2). 289–295. 4 indexed citations
16.
Qiao, Hongbo, et al.. (2010). Identification of damage by diseases and insect pests in winter wheat.. Mailei zuowu xuebao. 30(4). 770–774. 9 indexed citations
17.
Ma, Xinming. (2008). Effects of Mercury on Photosynthesis and Chlorophyll Fluorescence Parameters of Flue-cured Tobacco. Nongye huanjing kexue xuebao. 3 indexed citations
18.
Chao-hai, LI, et al.. (2008). FFECTS OF MAIZE INTERCROPPING WITH DIFFERENT GENOTYPES ON LEAF SENESCENCE AND GRAIN YIELD AND QUALITY. Chinese Journal of Plant Ecology. 32(4). 914.
19.
Ma, Xinming. (2005). Effect of Different Amounts of Nitrogen Application on Grain Filling and Yield of Wheat Varieties with Different Qualities. 2 indexed citations
20.
Xiong, Shuping, et al.. (2005). Effect of Cd and Pb pollution on chlorophyll content, activity of protectiase and cell membrance Lipid Peroxidation change in tobacco leaves. He'nan nongye daxue xuebao. 39(1). 15–19. 3 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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