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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:

Assessing mangrove leaf traits under different pest and disease severity with hyperspectral imaging spectroscopy
Xiapeng Jiang, Jianing Zhen, Jing Miao, et al.
Ecological Indicators (2021) Vol. 129, pp. 107901-107901
Open Access | Times Cited: 49

Showing 1-25 of 49 citing articles:

Newly-developed three-band hyperspectral vegetation index for estimating leaf relative chlorophyll content of mangrove under different severities of pest and disease
Xiapeng Jiang, Jianing Zhen, Jing Miao, et al.
Ecological Indicators (2022) Vol. 140, pp. 108978-108978
Open Access | Times Cited: 50
Hyperspectral Monitoring of Powdery Mildew Disease Severity in Wheat Based on Machine Learning
Ziheng Feng, Lu-Yuan Wang, Zheqing Yang, et al.
Frontiers in Plant Science (2022) Vol. 13
Open Access | Times Cited: 46
Estimation of Leaf Nitrogen Content in Rice Using Vegetation Indices and Feature Variable Optimization with Information Fusion of Multiple-Sensor Images from UAV
Sizhe Xu, Xingang Xu, Clive Blacker, et al.
Remote Sensing (2023) Vol. 15, Iss. 3, pp. 854-854
Open Access | Times Cited: 32
Mangrove mapping and monitoring using remote sensing techniques towards climate change resilience
Reshma Sunkur, Komali Kantamaneni, Chandradeo Bokhoree, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 10
Monitoring Wheat Powdery Mildew Based on Hyperspectral, Thermal Infrared, and RGB Image Data Fusion
Ziheng Feng, Li Song, Jianzhao Duan, et al.
Sensors (2021) Vol. 22, Iss. 1, pp. 31-31
Open Access | Times Cited: 53
Exploring multi-features in UAV based optical and thermal infrared images to estimate disease severity of wheat powdery mildew
Yang Liu, Guohui Liu, Hong Sun, et al.
Computers and Electronics in Agriculture (2024) Vol. 225, pp. 109285-109285
Closed Access | Times Cited: 6
Remote Sensing Detecting of Yellow Leaf Disease of Arecanut Based on UAV Multisource Sensors
Shuhan Lei, Jianbiao Luo, Xiaojun Tao, et al.
Remote Sensing (2021) Vol. 13, Iss. 22, pp. 4562-4562
Open Access | Times Cited: 37
UAV hyperspectral remote sensor images for mango plant disease and pest identification using MD-FCM and XCS-RBFNN
D. Lita Pansy, M. Murali
Environmental Monitoring and Assessment (2023) Vol. 195, Iss. 9
Closed Access | Times Cited: 14
Y–Net: Identification of Typical Diseases of Corn Leaves Using a 3D–2D Hybrid CNN Model Combined with a Hyperspectral Image Band Selection Module
Yinjiang Jia, Yaoyao Shi, Jiaqi Luo, et al.
Sensors (2023) Vol. 23, Iss. 3, pp. 1494-1494
Open Access | Times Cited: 13
Cross-cultivar prediction of quality indicators of tea based on VIS-NIR hyperspectral imaging
Xuelun Luo, C. N. Sun, Yong He, et al.
Industrial Crops and Products (2023) Vol. 202, pp. 117009-117009
Closed Access | Times Cited: 13
Early detection of citrus anthracnose caused by Colletotrichum gloeosporioides using hyperspectral imaging
Yu Tang, Jiepeng Yang, Jiajun Zhuang, et al.
Computers and Electronics in Agriculture (2023) Vol. 214, pp. 108348-108348
Closed Access | Times Cited: 11
Integration of Hyperspectral Imaging and Deep Learning for Sustainable Mangrove Management and Sustainable Development Goals Assessment
P. Ilamathi, S. Chidambaram
Wetlands (2025) Vol. 45, Iss. 1
Closed Access
A convolutional block multi-attentive fusion network for underground natural gas micro-leakage detection of hyperspectral and thermal data
Kangning Li, Kangni Xiong, Jinbao Jiang, et al.
Energy (2025), pp. 134870-134870
Closed Access
Detection of fungal disease in citrus fruit based on hyperspectral imaging
Xue‐Chun Yu, Shuangyin Liu, C.-J. Wang, et al.
Information Processing in Agriculture (2025)
Open Access
Assessing the ecotoxicological risk of nicosulfuron on maize using multi-source phenotype data and hyperspectral imaging
Tianpu Xiao, Yang Li, Xiantao He, et al.
Ecotoxicology and Environmental Safety (2025) Vol. 295, pp. 118176-118176
Open Access
Hyperspectral indices developed from the low order fractional derivative spectra can capture leaf dry matter content across a variety of species better
Jia Jin, Quan Wang
Agricultural and Forest Meteorology (2022) Vol. 322, pp. 109007-109007
Open Access | Times Cited: 17
Response of spectral vegetation indices to Erannis jacobsoni Djak. damage in larch forests
Siyuan Zhang, Xiaojun Huang, Lei Ma, et al.
Ecological Informatics (2024) Vol. 81, pp. 102605-102605
Open Access | Times Cited: 3
Design and Application of Bionic Camouflage Materials Simulating Spectral Reflection Characteristics of Plants: A Review
Yanping Lin, Luquan Ren, Xiaodong Yang, et al.
Applied Sciences (2024) Vol. 14, Iss. 11, pp. 4404-4404
Open Access | Times Cited: 3
Can SPAD Values and CIE L*a*b* Scales Predict Chlorophyll and Carotenoid Concentrations in Leaves and Diagnose the Growth Potential of Trees? An Empirical Study of Four Tree Species
Lai Wei, Liping Lu, Yuxin Shang, et al.
Horticulturae (2024) Vol. 10, Iss. 6, pp. 548-548
Open Access | Times Cited: 3
Study on Hyperspectral Monitoring Model of Total Flavonoids and Total Phenols in Tartary Buckwheat Grains
Chenbo Yang, Lifang Song, Kunxi Wei, et al.
Foods (2023) Vol. 12, Iss. 7, pp. 1354-1354
Open Access | Times Cited: 8
Hyperspectral Analysis and Regression Modeling of SPAD Measurements in Leaves of Three Mangrove Species
Huazhe Li, Lijuan Cui, Zhiguo Dou, et al.
Forests (2023) Vol. 14, Iss. 8, pp. 1566-1566
Open Access | Times Cited: 8
Detecting the Minimum Limit on Wheat Stripe Rust in the Latent Period Using Proximal Remote Sensing Coupled with Duplex Real-Time PCR and Machine Learning
Qi Liu, Tingting Sun, Xiaojie Wen, et al.
Plants (2023) Vol. 12, Iss. 15, pp. 2814-2814
Open Access | Times Cited: 7
Classification of rice leaf blast severity using hyperspectral imaging
Guosheng Zhang, Tongyu Xu, Youwen Tian, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 12
Lightweight Tensorized Neural Networks for Hyperspectral Image Classification
Tian-Yu Ma, Heng-Chao Li, Rui Wang, et al.
IEEE Transactions on Geoscience and Remote Sensing (2022) Vol. 60, pp. 1-16
Closed Access | Times Cited: 12
Hyperspectral imaging-based classification of rice leaf blast severity over multiple growth stages
Guosheng Zhang, Tongyu Xu, Youwen Tian
Plant Methods (2022) Vol. 18, Iss. 1
Open Access | Times Cited: 10
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