Juncheng Ma
Impact in
- Analytical Chemistry top 1%
- Spectroscopy and Chemometric Analyses
- Plant Science top 2%
- Smart Agriculture and AI
- Leaf Properties and Growth Measurement
- Plant Disease Management Techniques
- Greenhouse Technology and Climate Control
- Date Palm Research Studies
Papers in
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- Smart Agriculture and AI 18
- Leaf Properties and Growth Measurement 8
- Greenhouse Technology and Climate Control 5
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- Advanced Image Processing Techniques 4
- Co-authors
- Lingxian Zhang (14 shared papers)Feixiang Zheng (7 shared papers)Keming Du (7 shared papers)Zhihong Gong (4 shared papers)Yunxia Li (5 shared papers)Yongfeng Wu (11 shared papers)Zetian Fu (4 shared papers)Kaiyu Li (2 shared papers)
In The Last Decade
Juncheng Ma
42 papers receiving 1.2k citations
Juncheng Ma's Hit Papers
Peers
Comparison fields: 5 of 94
- Analytical Chemistry 347
- Plant Science 930
- Ecology 334
- Environmental Engineering 85
- Computer Vision and Pattern Recognition 108
Countries citing papers authored by Juncheng Ma
This map shows the geographic impact of Juncheng 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 Juncheng Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Juncheng Ma more than expected).
Fields of papers citing papers by Juncheng Ma
This network shows the impact of papers produced by Juncheng 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 Juncheng Ma. The network helps show where Juncheng Ma may publish in the future.
Co-authors
The 25 scholars most cited alongside Juncheng Ma, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A recognition method for cucumber diseases using leaf symptom images based on deep convolutional neural network Hit paper breakdown → | 2018 | 393 |
| 2 | 2017 | 103 | |
| 3 | 2020 | 80 | |
| 4 | 2018 | 80 | |
| 5 | 2022 | 72 | |
| 6 | 2015 | 49 | |
| 7 | 2019 | 44 | |
| 8 | 2023 | 41 | |
| 9 | 2020 | 40 | |
| 10 | 2022 | 32 | |
| 11 | 2019 | 30 | |
| 12 | 2021 | 26 | |
| 13 | 2021 | 26 | |
| 14 | 2022 | 25 | |
| 15 | 2018 | 21 | |
| 16 | 2020 | 20 | |
| 17 | 2025 | 17 | |
| 18 | 2023 | 14 | |
| 19 | 2021 | 13 | |
| 20 | 2023 | 12 |
About Juncheng Ma
Juncheng Ma is a scholar working on Plant Science, Computer Vision and Pattern Recognition, Ecology, Global and Planetary Change and Signal Processing, having authored 46 papers that have together received 1.3k indexed citations. Recurring topics across this work include Smart Agriculture and AI (18 papers), Remote Sensing in Agriculture (11 papers), Leaf Properties and Growth Measurement (8 papers), Video Coding and Compression Technologies (5 papers), Spectroscopy and Chemometric Analyses (5 papers), Greenhouse Technology and Climate Control (5 papers), Remote Sensing and Land Use (4 papers) and Advanced Image Processing Techniques (4 papers). The work is most often cited by research in Analytical Chemistry (347 citations), Plant Science (930 citations), Ecology (334 citations), Environmental Engineering (85 citations) and Computer Vision and Pattern Recognition (108 citations). Juncheng Ma has collaborated with scholars based in China, Italy and Brazil. Frequent co-authors include Lingxian Zhang, Feixiang Zheng, Keming Du, Zhihong Gong, Yunxia Li, Yongfeng Wu, Zetian Fu, Kaiyu Li, Hongjie Liu and Yingyi Chen. Their work appears in journals such as Computers and Electronics in Agriculture, Agronomy, Environmental Science and Pollution Research, European Journal of Agronomy and Remote Sensing.
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.