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About the database ScholarIQanswers from OpenAlex & ORCID
How has Miaomiao Ji's publication output changed over time?
ScholarIQpublication output · 2019–2023
Output grew0% over the shown period — from 1 works in 2019 to 1 in 2023.
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1
20192020202120222023
What are the most-cited papers on Miaomiao Ji?
ScholarIQmost cited works
Automatic grape leaf diseases identification via UnitedModel based on multiple convolutional neural networks
Miaomiao Ji, Lei Zhang, Qiufeng Wu
Information Processing in Agriculture. 2019229 CitationsOPEN ACCESS
Automatic detection and severity analysis of grape black measles disease based on deep learning and fuzzy logic
Miaomiao Ji, Zhibin Wu
Computers and Electronics in Agriculture. 2022107 Citations
A biodegradable cellulose-based flame-retardant triboelectric nanogenerator for fire warning
Ran Wang, Jinming Ma, Shuai Ma, Qiran Zhang, Na Li, Miaomiao Ji, Tifeng Jiao, Xia Cao
S149937609. 202280 Citations
Multi-label learning for crop leaf diseases recognition and severity estimation based on convolutional neural networks
Miaomiao Ji, Keke Zhang, Qiufeng Wu, Zhao Deng
S65753830. 202073 Citations
Automatic Detection and Severity Assessment of Pepper Bacterial Spot Disease via MultiModels Based on Convolutional Neural Networks
Qiufeng Wu, Miaomiao Ji, Zhao Deng
International Journal of Agricultural and Environmental Information Systems. 202019 CitationsOPEN ACCESS
Related on ScholarIQ
Sichuan University
Institution
Automatic grape leaf diseases identification via UnitedModel based on multiple convolutional neural networks
Paper
Automatic detection and severity analysis of grape black measles disease based on deep learning and fuzzy logic
Paper
A biodegradable cellulose-based flame-retardant triboelectric nanogenerator for fire warning
Paper
Multi-label learning for crop leaf diseases recognition and severity estimation based on convolutional neural networks
Paper
Automatic Detection and Severity Assessment of Pepper Bacterial Spot Disease via MultiModels Based on Convolutional Neural Networks
Paper