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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Comparison of algorithms for monitoring wheat powdery mildew using multi-angular remote sensing data
Li Song, Luyuan Wang, Zheqing Yang, et al.
The Crop Journal (2022) Vol. 10, Iss. 5, pp. 1312-1322
Open Access | Times Cited: 23

Showing 23 citing articles:

Evaluating the potential of airborne hyperspectral LiDAR for assessing forest insects and diseases with 3D Radiative Transfer Modeling
Xun Zhao, Jianbo Qi, Haifeng Xu, et al.
Remote Sensing of Environment (2023) Vol. 297, pp. 113759-113759
Closed Access | Times Cited: 37
Estimation of wheat protein content and wet gluten content based on fusion of hyperspectral and RGB sensors using machine learning algorithms
Shaohua Zhang, Xinghui Qi, Mengyuan Gao, et al.
Food Chemistry (2024) Vol. 448, pp. 139103-139103
Closed Access | Times Cited: 10
Classification of different gluten wheat varieties based on hyperspectral preprocessing, feature screening, and machine learning
Xinghui Qi, Shaohua Zhang, Liyang Wang, et al.
Food Chemistry X (2025) Vol. 26, pp. 102329-102329
Open Access | Times Cited: 1
Intelligent agriculture: deep learning in UAV-based remote sensing imagery for crop diseases and pests detection
Hongyan Zhu, Chengzhi Lin, G. Liu, et al.
Frontiers in Plant Science (2024) Vol. 15
Open Access | Times Cited: 7
Estimation of grain filling rate of winter wheat using leaf chlorophyll and LAI extracted from UAV images
Baoyuan Zhang, Limin Gu, Menglei Dai, et al.
Field Crops Research (2023) Vol. 306, pp. 109198-109198
Closed Access | Times Cited: 14
Estimation of Cotton Nitrogen Content Based on Multi-Angle Hyperspectral Data and Machine Learning Models
Xiaoting Zhou, Mi Yang, Xiangyu Chen, et al.
Remote Sensing (2023) Vol. 15, Iss. 4, pp. 955-955
Open Access | Times Cited: 13
Optical Methods for the Detection of Plant Pathogens and Diseases (Review)
Sergey V. Gudkov, T.A. Matveeva, Ruslan M. Sarimov, et al.
AgriEngineering (2023) Vol. 5, Iss. 4, pp. 1789-1812
Open Access | Times Cited: 11
Estimation on powdery mildew of wheat canopy based on in-situ hyperspectral responses and characteristic wavelengths optimization
Lulu An, Yang Liu, Guohui Liu, et al.
Crop Protection (2024) Vol. 184, pp. 106804-106804
Closed Access | Times Cited: 4
Early Detection of Rubber Tree Powdery Mildew by Combining Spectral and Physicochemical Parameter Features
Xiangzhe Cheng, Mengning Huang, Anting Guo, et al.
Remote Sensing (2024) Vol. 16, Iss. 9, pp. 1634-1634
Open Access | Times Cited: 3
Early Monitoring of Maize Northern Leaf Blight Using Vegetation Indices and Plant Traits from Multiangle Hyperspectral Data
Anting Guo, Wenjiang Huang, Kun Wang, et al.
Agriculture (2024) Vol. 14, Iss. 8, pp. 1311-1311
Open Access | Times Cited: 3
Artificial intelligence in plant disease mitigation and nutrient acquisition
Knight Nthebere, M. Bhargava Narasimha Yadav, Gangadhara Gowda, et al.
Methods in microbiology (2025)
Closed Access
Multi-angular spectroscopic detection of winter wheat nitrogen fertilizer utilization status using integrated feature selection and machine learning
Haiyan Zhang, Li He, Qi‐Wen Chen, et al.
Computers and Electronics in Agriculture (2025) Vol. 231, pp. 109916-109916
Closed Access
Classification of wheat powdery mildew based on hyperspectral: From leaves to canopy
Lulu An, Yang Liu, Nan Wang, et al.
Crop Protection (2023) Vol. 177, pp. 106559-106559
Closed Access | Times Cited: 9
Crop phenotyping studies with application to crop monitoring
Xiuliang Jin, Wanneng Yang, John H. Doonan, et al.
The Crop Journal (2022) Vol. 10, Iss. 5, pp. 1221-1223
Open Access | Times Cited: 10
Deep learning for plant bioinformatics: an explainable gradient-based approach for disease detection
Muhammad Shoaib, Babar Shah, Nasir Sayed, et al.
Frontiers in Plant Science (2023) Vol. 14
Open Access | Times Cited: 5
Mitigating Crop Losses: AI-enabled Disease Detection in Tomato Plants
Hassan Ashfaq, Usama Arshad, Raja Hashim Ali, et al.
(2023), pp. 190-195
Closed Access | Times Cited: 5
Estimation of grain filling rate and thousand-grain weight of winter wheat (Triticum aestivum L.) using UAV-based multispectral images
Baoyuan Zhang, Limin Gu, Menglei Dai, et al.
European Journal of Agronomy (2024) Vol. 159, pp. 127258-127258
Closed Access | Times Cited: 1
Accurate irrigation decision-making of winter wheat at the filling stage based on UAV hyperspectral inversion of leaf water content
Xuguang Sun, Baoyuan Zhang, Menglei Dai, et al.
Agricultural Water Management (2024) Vol. 306, pp. 109171-109171
Open Access | Times Cited: 1
An Interpretable Deep Learning for Early Detection and Diagnosis of Wheat Leaf Diseases
A. S. Tolba, Nourhan Talal
Optimization in agriculture. (2024) Vol. 1, pp. 81-93
Open Access | Times Cited: 1
Early diagnosis of wheat powdery mildew using solar-induced chlorophyll fluorescence and hyperspectral reflectance
Li Song, Jiaxiang Cai, Ke Wu, et al.
European Journal of Agronomy (2024) Vol. 162, pp. 127427-127427
Closed Access | Times Cited: 1
Concise Cascade Methods for Transgenic Rice Seed Discrimination using Spectral Phenotyping
Jinnuo Zhang, Xuping Feng, Jian Jin, et al.
Plant Phenomics (2023) Vol. 5
Open Access | Times Cited: 1
Estimating canopy chlorophyll content of powdery mildew stressed winter wheat by different spatial resolutions of UAV-imagery
Yang Liu, Mingjia Liu, Guohui Liu, et al.
Computers and Electronics in Agriculture (2024) Vol. 227, pp. 109621-109621
Closed Access
Estimation of Grain Filling Rate and Thousand-Grain Weight of Winter Wheat Using Uav-Based Multispectral Image
Baoyuan Zhang, Limin Gu, Menglei Dai, et al.
(2023)
Closed Access
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