Huiqin Ma

1.9k total citations · 1 hit paper
44 papers, 1.5k citations indexed

About

Huiqin Ma is a scholar working on Plant Science, Ecology and Analytical Chemistry. According to data from OpenAlex, Huiqin Ma has authored 44 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Plant Science, 23 papers in Ecology and 19 papers in Analytical Chemistry. Recurrent topics in Huiqin Ma's work include Remote Sensing in Agriculture (23 papers), Spectroscopy and Chemometric Analyses (19 papers) and Smart Agriculture and AI (11 papers). Huiqin Ma is often cited by papers focused on Remote Sensing in Agriculture (23 papers), Spectroscopy and Chemometric Analyses (19 papers) and Smart Agriculture and AI (11 papers). Huiqin Ma collaborates with scholars based in China, United Kingdom and Australia. Huiqin Ma's co-authors include Wenjiang Huang, Yingying Dong, Linyi Liu, Huichun Ye, Yue Shi, Anting Guo, Linsheng Huang, Chao Ruan, Yu Ren and Pablo González‐Moreno and has published in prestigious journals such as Nature Communications, Chemical Engineering Journal and ACS Applied Materials & Interfaces.

In The Last Decade

Huiqin Ma

41 papers receiving 1.4k citations

Hit Papers

A Deep Learning-Based Approach for Automated Yellow Rust ... 2019 2026 2021 2023 2019 50 100 150 200
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.

  1. A Deep Learning-Based Approach for Automated Yellow Rust Disease Detection from High-Resolution Hyperspectral UAV Images
    2019 244 citations Xin Zhang, Liangxiu Han et al. Remote Sensing profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Huiqin Ma China 22 979 714 585 173 133 44 1.5k
Ce Yang United States 19 987 1.0× 573 0.8× 579 1.0× 177 1.0× 87 0.7× 40 1.4k
Haiyong Weng China 16 779 0.8× 491 0.7× 366 0.6× 199 1.2× 35 0.3× 43 1.2k
Matheus Thomas Kuśka Germany 18 921 0.9× 557 0.8× 626 1.1× 42 0.2× 183 1.4× 22 1.3k
Ashish Mishra India 10 921 0.9× 421 0.6× 465 0.8× 122 0.7× 127 1.0× 23 1.3k
Wanneng Yang China 28 2.9k 3.0× 932 1.3× 497 0.8× 305 1.8× 68 0.5× 90 3.5k
Liping Jin China 20 804 0.8× 398 0.6× 129 0.2× 209 1.2× 61 0.5× 66 1.4k
Kaihua Wu China 12 485 0.5× 350 0.5× 262 0.4× 84 0.5× 41 0.3× 56 840
Thomas Rath Germany 16 566 0.6× 148 0.2× 161 0.3× 57 0.3× 33 0.2× 47 860
P. E. Parker United States 18 1.3k 1.3× 250 0.4× 242 0.4× 49 0.3× 490 3.7× 33 1.6k
Amaia Ortiz‐Barredo Spain 14 1.1k 1.1× 222 0.3× 335 0.6× 210 1.2× 129 1.0× 25 1.5k

Countries citing papers authored by Huiqin Ma

Since Specialization
Citations

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

Fields of papers citing papers by Huiqin Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Huiqin Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Huiqin Ma. A scholar is included among the top collaborators of Huiqin 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 Huiqin Ma. Huiqin 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.
Guo, Anting, Chao Ruan, Wenjiang Huang, et al.. (2025). Inversion of plant functional traits from hyperspectral imagery enhances the distinction of wheat stripe rust severity. Artificial Intelligence in Agriculture. 16(1). 206–223.
2.
Ma, Huiqin, Wen Liu, Peng Liu, et al.. (2024). Ni(OH)2 Nanoparticle-Modified Co9S8/ZnIn2S4 Heterojunction for Boosting Photocatalytic H2 Production. Crystal Growth & Design. 24(11). 4312–4321. 3 indexed citations
3.
Ma, Huiqin, Jianwen Huang, Yuqing Liu, et al.. (2024). Minimal lateral damage fabrication of high-temperature superconducting nanowires via focused helium ion beam irradiation. Superconductor Science and Technology. 37(12). 125010–125010.
4.
5.
Zhao, Jinling, Linsheng Huang, Wenjiang Huang, et al.. (2023). Development of new indices and use of CARS-Ridge algorithm for wheat fusarium head blight detection using in-situ hyperspectral data. Biosystems Engineering. 237. 13–25. 10 indexed citations
6.
Wang, Jing, Yanru Huang, Linsheng Huang, et al.. (2023). Migration risk of fall armyworm (Spodoptera frugiperda) from North Africa to Southern Europe. Frontiers in Plant Science. 14. 1141470–1141470. 30 indexed citations
7.
Zhang, Jingcheng, et al.. (2023). Assessing Rice Sheath Blight Disease Habitat Suitability at a Regional Scale through Multisource Data Analysis. Remote Sensing. 15(23). 5530–5530. 1 indexed citations
8.
9.
Ruan, Chao, Yingying Dong, Wenjiang Huang, et al.. (2022). Integrating Remote Sensing and Meteorological Data to Predict Wheat Stripe Rust. Remote Sensing. 14(5). 1221–1221. 17 indexed citations
10.
Guo, Anting, Wenjiang Huang, Yingying Dong, et al.. (2021). Wheat Yellow Rust Detection Using UAV-Based Hyperspectral Technology. Remote Sensing. 13(1). 123–123. 133 indexed citations
11.
Ruan, Chao, Yingying Dong, Wenjiang Huang, et al.. (2021). Prediction of Wheat Stripe Rust Occurrence with Time Series Sentinel-2 Images. Agriculture. 11(11). 1079–1079. 21 indexed citations
12.
13.
Dong, Yingying, et al.. (2020). Dynamic Remote Sensing Prediction for Wheat Fusarium Head Blight by Combining Host and Habitat Conditions. Remote Sensing. 12(18). 3046–3046. 20 indexed citations
14.
Guo, Anting, Wenjiang Huang, Huichun Ye, et al.. (2020). Identification of Wheat Yellow Rust Using Spectral and Texture Features of Hyperspectral Images. Remote Sensing. 12(9). 1419–1419. 93 indexed citations
15.
Huang, Yanru, Yingying Dong, Wenjiang Huang, et al.. (2020). Overwintering Distribution of Fall Armyworm (Spodoptera frugiperda) in Yunnan, China, and Influencing Environmental Factors. Insects. 11(11). 805–805. 35 indexed citations
16.
Ma, Huiqin, Wenjiang Huang, Yuanshu Jing, et al.. (2019). Integrating Growth and Environmental Parameters to Discriminate Powdery Mildew and Aphid of Winter Wheat Using Bi-Temporal Landsat-8 Imagery. Remote Sensing. 11(7). 846–846. 43 indexed citations
17.
Zhang, Xin, Liangxiu Han, Yingying Dong, et al.. (2019). A Deep Learning-Based Approach for Automated Yellow Rust Disease Detection from High-Resolution Hyperspectral UAV Images. Remote Sensing. 11(13). 1554–1554. 244 indexed citations breakdown →
18.
Ma, Huiqin, Wenjiang Huang, Yuanshu Jing, et al.. (2019). Identification of Fusarium Head Blight in Winter Wheat Ears Using Continuous Wavelet Analysis. Sensors. 20(1). 20–20. 49 indexed citations
19.
20.
Munger, J. William, et al.. (2009). CO2 and its correlation with CO at a rural site near Beijing: implications for combustion efficiency in China. AGU Fall Meeting Abstracts. 2009. 6 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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