Benxue Ma

739 total citations
39 papers, 553 citations indexed

About

Benxue Ma is a scholar working on Analytical Chemistry, Plant Science and Atmospheric Science. According to data from OpenAlex, Benxue Ma has authored 39 papers receiving a total of 553 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Analytical Chemistry, 12 papers in Plant Science and 11 papers in Atmospheric Science. Recurrent topics in Benxue Ma's work include Spectroscopy and Chemometric Analyses (28 papers), Remote Sensing and Land Use (11 papers) and Smart Agriculture and AI (10 papers). Benxue Ma is often cited by papers focused on Spectroscopy and Chemometric Analyses (28 papers), Remote Sensing and Land Use (11 papers) and Smart Agriculture and AI (10 papers). Benxue Ma collaborates with scholars based in China, South Korea and Czechia. Benxue Ma's co-authors include Yujie Li, Guowei Yu, Cong Li, Yating Hu, Yating Hu, Ruoyu Zhang, Rongguang Zhu, Jing‐Tao Sun, Wei Jiang and Jincheng Chen and has published in prestigious journals such as Frontiers in Plant Science, Food Research International and Industrial Crops and Products.

In The Last Decade

Benxue Ma

35 papers receiving 524 citations

Peers

Benxue Ma
Bing Lu China
Benxue Ma
Citations per year, relative to Benxue Ma Benxue Ma (= 1×) peers Bing Lu

Countries citing papers authored by Benxue Ma

Since Specialization
Citations

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

Fields of papers citing papers by Benxue Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Benxue Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Benxue Ma. A scholar is included among the top collaborators of Benxue 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 Benxue Ma. Benxue 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.
Yu, Guowei, et al.. (2025). CPD-YOLO: A cross-platform detection method for cotton pests and diseases using UAV and smartphone imaging. Industrial Crops and Products. 234. 121515–121515. 5 indexed citations
2.
Song, J. J., et al.. (2025). Organ segmentation and phenotypic information extraction of cotton point clouds based on the CotSegNet network and machine learning. Computers and Electronics in Agriculture. 236. 110466–110466. 4 indexed citations
3.
Dong, Fujia, Benxue Ma, Ying Xu, et al.. (2025). Early spoilage detection of Hami melons using microbial diversity analysis and E-nose information dimension enhancement. Food Control. 181. 111710–111710.
4.
Dong, Fujia, Ying Xu, Benxue Ma, et al.. (2025). Low-cost detection method for early-stage mildew in Hami melons based on hyperspectral image reconstruction using Sim-MST++. Food Control. 177. 111429–111429. 3 indexed citations
5.
Chen, Jincheng, Chao Ji, Jing Zhang, et al.. (2024). A method for multi-target segmentation of bud-stage apple trees based on improved YOLOv8. Computers and Electronics in Agriculture. 220. 108876–108876. 20 indexed citations
6.
Xu, Ying, et al.. (2024). Accurate cotton verticillium wilt segmentation in field background based on the two-stage lightweight DeepLabV3+ model. Computers and Electronics in Agriculture. 229. 109814–109814. 4 indexed citations
7.
Ma, Benxue, et al.. (2024). Fusion features of microfluorescence hyperspectral imaging for qualitative detection of pesticide residues in Hami melon. Food Research International. 196. 115010–115010. 9 indexed citations
8.
Ma, Benxue, et al.. (2024). An innovative variant based on generative adversarial network (GAN): Regression GAN combined with hyperspectral imaging to predict pesticide residue content of Hami melon. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 325. 125086–125086. 11 indexed citations
9.
Chen, Jincheng, Benxue Ma, Chao Ji, et al.. (2023). Apple inflorescence recognition of phenology stage in complex background based on improved YOLOv7. Computers and Electronics in Agriculture. 211. 108048–108048. 26 indexed citations
11.
Hu, Yating, et al.. (2023). Detecting different pesticide residues on Hami melon surface using hyperspectral imaging combined with 1D-CNN and information fusion. Frontiers in Plant Science. 14. 1105601–1105601. 40 indexed citations
12.
Yu, Guowei, Huihui Li, Yujie Li, et al.. (2023). Multiscale Deepspectra Network: Detection of Pyrethroid Pesticide Residues on the Hami Melon. Foods. 12(9). 1742–1742. 13 indexed citations
13.
Hu, Yating, et al.. (2023). An improved DCGAN model: Data augmentation of hyperspectral image for identification pesticide residues of Hami melon. Food Control. 157. 110168–110168. 36 indexed citations
14.
Ma, Benxue, et al.. (2022). Accurate cotton diseases and pests detection in complex background based on an improved YOLOX model. Computers and Electronics in Agriculture. 203. 107484–107484. 60 indexed citations
15.
Zhu, Rongguang, et al.. (2020). Discrimination of chilled lamb from different carcass parts at different storage times based on mobile phone images.. Shipin Kexue / Food Science. 41(23). 21–26. 5 indexed citations
16.
Ma, Benxue, et al.. (2019). Evaluation of surface texture of dried Hami Jujube using optimized support vector machine based on visual features fusion. Food Science and Biotechnology. 29(4). 493–502. 9 indexed citations
17.
Li, Xu, et al.. (2017). Detection of soluble solids content of postharvest grape based on hyperspectral imaging.. He'nan nongye kexue. 46(3). 143–147. 1 indexed citations
18.
Sun, Jing‐Tao, Benxue Ma, Juan Dong, et al.. (2016). Detection of internal qualities of hami melons using hyperspectral imaging technology based on variable selection algorithms. Journal of Food Process Engineering. 40(3). 39 indexed citations
19.
Ma, Benxue. (2011). The Image Texture Extraction of Hami Melon Based on OpenCV. Journal of Shihezi University. 1 indexed citations
20.
Li, Jiangbo, et al.. (2009). Background and external defects segmentation of navel orange based on mask and edge gray value compensation algorithm.. Nongye gongcheng xuebao. 25(12). 133–137. 5 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026