Juncheng Ma

1.6k citations
46 papers · 1.2k indexed · 1 hit paper · h-index 16
Topics
Smart Agriculture and AI (18 papers)Remote Sensing in Agriculture (11 papers)Leaf Properties and Growth Measurement (9 papers)
Partner nations
ChinaItalyUnited Kingdom

In The Last Decade

Juncheng Ma

40 papers receiving 1.2k citations

Hit Papers

A recognition method for cucumber diseases using leaf sym...20182026202020232018100200300

Peers

Juncheng Ma
Comparison fields: 5 of 98
  • Plant Science 916
  • Analytical Chemistry 346
  • Ecology 333
  • Computer Vision and Pattern Recognition 109
  • Environmental Engineering 86
Replace Gensheng Hu with:
Gensheng Hu China
Bruno Brandoli Machado Brazil
Mingzhu Wan China
Raphaël Canals France
Alvaro Fuentes South Korea
Muhammad Hammad Saleem New Zealand
Yahui Hu China
Huasheng Huang China
Pouria Sadeghi‐Tehran United Kingdom
Young Chang Canada
Juncheng Ma relative to Gensheng Hu China Gensheng Hu's profile →
Citations per field
00.5×11×
Gensheng Hu · 1×
Citations per year

Countries citing papers authored by Juncheng Ma

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Juncheng Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Juncheng Ma. A scholar is included among the top collaborators of Juncheng 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 Juncheng Ma. Juncheng 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
#WorkIndexed citations
1 0
2 0
3 14
4 0
5 1
6 2
7 4
8 6
9 11
10 3
11 13
12 8
13 31
14 23
15 10
16 74
17 38
18 12
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A recognition method for cucumber diseases using leaf symptom images based on deep convolutional neural networkbreakdown →
389
20 1

About Juncheng Ma

Juncheng Ma is a scholar working on Plant Science, Computer Vision and Pattern Recognition and Analytical Chemistry, having authored 46 papers that have together received 1.2k indexed citations. Recurring topics across this work include Smart Agriculture and AI (18 papers), Remote Sensing in Agriculture (11 papers) and Leaf Properties and Growth Measurement (9 papers). The work is most often cited by research in Analytical Chemistry (346 citations), Plant Science (916 citations) and Ecology (333 citations). Juncheng Ma has collaborated with scholars based in China, Italy and United Kingdom. Frequent co-authors include Lingxian Zhang, Feixiang Zheng, Keming Du, Sun Zhong-fu, Zhihong Gong, Yunxia Li, Yongfeng Wu, Zetian Fu, Kaiyu Li and Hongjie Liu. Their work appears in journals such as Expert Systems with Applications, Sustainability 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.

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