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h5 指数:53
h5 中位数:71

h5 指数是指在过去整整 5 年中所发表文章的 h 指数。h 指在 2018-2022 年间发表的 h 篇文章每篇至少都被引用过 h 次的最大值。隐藏

出版物的 h5 中位数，是指出版物的 h5 指数所涵盖的所有文章获得的引用次数的中位值。隐藏

#19 Botany

标题/作者	引用次数	年份
PGA: a software package for rapid, accurate, and flexible batch annotation of plastomes XJ Qu, MJ Moore, DZ Li, TS Yi Plant Methods 15 (1), 1-12	412	2019
Hyperspectral image analysis techniques for the detection and classification of the early onset of plant disease and stress A Lowe, N Harrison, AP French Plant Methods 13 (1), 1-12	313	2017
Modeling maize above-ground biomass based on machine learning approaches using UAV remote-sensing data L Han, G Yang, H Dai, B Xu, H Yang, H Feng, Z Li, X Yang Plant Methods 15 (1), 1-19	183	2019
The use of plant models in deep learning: an application to leaf counting in rosette plants J Ubbens, M Cieslak, P Prusinkiewicz, I Stavness Plant Methods 14 (1), 1-10	179	2018
Comparison of three genomic DNA extraction methods to obtain high DNA quality from maize A Abdel-Latif, G Osman Plant Methods 13 (1), 1-9	153	2017
AI-powered banana diseases and pest detection MG Selvaraj, A Vergara, H Ruiz, N Safari, S Elayabalan, W Ocimati, ... Plant Methods 15 (1), 1-11	142	2019
TasselNet: counting maize tassels in the wild via local counts regression network H Lu, Z Cao, Y Xiao, B Zhuang, C Shen Plant Methods 13 (1), 1-17	141	2017
Detection and analysis of wheat spikes using Convolutional Neural Networks MM Hasan, JP Chopin, H Laga, SJ Miklavcic Plant Methods 14 (1), 1-13	125	2018
Panicle-SEG: a robust image segmentation method for rice panicles in the field based on deep learning and superpixel optimization X Xiong, L Duan, L Liu, H Tu, P Yang, D Wu, G Chen, L Xiong, W Yang, ... Plant Methods 13 (1), 1-15	124	2017
A real-time phenotyping framework using machine learning for plant stress severity rating in soybean HS Naik, J Zhang, A Lofquist, T Assefa, S Sarkar, D Ackerman, A Singh, ... Plant Methods 13 (1), 1-12	124	2017
Deep phenotyping: deep learning for temporal phenotype/genotype classification ST Namin, M Esmaeilzadeh, M Najafi, TB Brown, JO Borevitz Plant Methods 14 (1), 1-14	124	2018
Plant disease identification using explainable 3D deep learning on hyperspectral images K Nagasubramanian, S Jones, AK Singh, S Sarkar, A Singh, ... Plant Methods 15 (1), 1-10	118	2019
Wheat ear counting in-field conditions: high throughput and low-cost approach using RGB images JA Fernandez-Gallego, SC Kefauver, NA Gutiérrez, MT Nieto-Taladriz, ... Plant Methods 14 (1), 1-12	104	2018
Improving agroinfiltration-based transient gene expression in Nicotiana benthamiana K Norkunas, R Harding, J Dale, B Dugdale Plant Methods 14 (1), 1-14	104	2018
Predicting grain yield using canopy hyperspectral reflectance in wheat breeding data OA Montesinos-López, A Montesinos-López, J Crossa, G de los Campos, ... Plant Methods 13 (1), 1-23	100	2017
Genome skimming herbarium specimens for DNA barcoding and phylogenomics CX Zeng, PM Hollingsworth, J Yang, ZS He, ZR Zhang, DZ Li, JB Yang Plant Methods 14 (1), 1-14	86	2018
Quantifying pruning impacts on olive tree architecture and annual canopy growth by using UAV-based 3D modelling FM Jiménez-Brenes, F López-Granados, AI de Castro, J Torres-Sánchez, ... Plant Methods 13 (1), 1-15	85	2017
Measuring crops in 3D: using geometry for plant phenotyping S Paulus Plant Methods 15 (1), 1-13	84	2019
Hyperspectral band selection using genetic algorithm and support vector machines for early identification of charcoal rot disease in soybean stems K Nagasubramanian, S Jones, S Sarkar, AK Singh, A Singh, ... Plant Methods 14 (1), 1-13	82	2018
Improved estimation of aboveground biomass in wheat from RGB imagery and point cloud data acquired with a low-cost unmanned aerial vehicle system N Lu, J Zhou, Z Han, D Li, Q Cao, X Yao, Y Tian, Y Zhu, W Cao, T Cheng Plant Methods 15 (1), 1-16	81	2019

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