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About the database ScholarIQanswers from OpenAlex & ORCID
How has Lingxian Zhang's publication output changed over time?
ScholarIQpublication output · 2017–2022
Output grew0% over the shown period — from 2 works in 2017 to 2 in 2022.
2
4
2
1
2
20172018202020212022
What are the most-cited papers on Lingxian Zhang?
ScholarIQmost cited works
A recognition method for cucumber diseases using leaf symptom images based on deep convolutional neural network
Juncheng Ma, Keming Du, Feixiang Zheng, Lingxian Zhang, Zhihong Gong, Zhongfu Sun
Computers and Electronics in Agriculture. 2018558 Citations
CDK inhibitors in cancer therapy, an overview of recent development.
Mengna Zhang, Lingxian Zhang, Ruoxuan Hei, Xiao Li, Haonan Cai, Xuan Wu, Qiping Zheng, Cheguo Cai
PubMed. 2021284 CitationsOPEN ACCESS
Consumers' perceptions, purchase intention, and willingness to pay a premium price for safe vegetables: A case study of Beijing, China
Biao Zhang, Zetian Fu, Jian Huang, Jieqiong Wang, Shuyao Xu, Lingxian Zhang
Journal of Cleaner Production. 2018252 Citations
Farmers’ adoption of water-saving irrigation technology alleviates water scarcity in metropolis suburbs: A case study of Beijing, China
Biao Zhang, Zetian Fu, Jieqiong Wang, Lingxian Zhang
S104641133. 2018162 Citations
A segmentation method for greenhouse vegetable foliar disease spots images using color information and region growing
Juncheng Ma, Keming Du, Lingxian Zhang, Feixiang Zheng, Jin-Xiang Chu, Zhongfu Sun
Computers and Electronics in Agriculture. 2017130 Citations
Related on ScholarIQ
Ministry of Agriculture and Rural Affairs
Institution
A recognition method for cucumber diseases using leaf symptom images based on deep convolutional neural network
Paper
CDK inhibitors in cancer therapy, an overview of recent development.
Paper
Consumers' perceptions, purchase intention, and willingness to pay a premium price for safe vegetables: A case study of Beijing, China
Paper
Farmers’ adoption of water-saving irrigation technology alleviates water scarcity in metropolis suburbs: A case study of Beijing, China
Paper
A segmentation method for greenhouse vegetable foliar disease spots images using color information and region growing
Paper