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:

Winter wheat yield prediction in the conterminous United States using solar-induced chlorophyll fluorescence data and XGBoost and random forest algorithm
Abhasha Joshi, Biswajeet Pradhan, Subrata Chakraborty, et al.
Ecological Informatics (2023) Vol. 77, pp. 102194-102194
Closed Access | Times Cited: 46

Showing 1-25 of 46 citing articles:

Deep Learning and Machine Learning Models for Landslide Susceptibility Mapping with Remote Sensing Data
Muhammad Afaq Hussain, Zhanlong Chen, Ying Zheng, et al.
Remote Sensing (2023) Vol. 15, Iss. 19, pp. 4703-4703
Open Access | Times Cited: 29

GOA-optimized deep learning for soybean yield estimation using multi-source remote sensing data
Jian Lü, Hongkun Fu, Xuhui Tang, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 17

Deep Learning for Multi-Source Data-Driven Crop Yield Prediction in Northeast China
Jian Lü, Jian Li, Hongkun Fu, et al.
Agriculture (2024) Vol. 14, Iss. 6, pp. 794-794
Open Access | Times Cited: 15

Wheat Yield Prediction Using Machine Learning Method Based on UAV Remote Sensing Data
Shurong Yang, Lei Li, Shuaipeng Fei, et al.
Drones (2024) Vol. 8, Iss. 7, pp. 284-284
Open Access | Times Cited: 9

Prediction of Winter Wheat Parameters with Planet SuperDove Imagery and Explainable Artificial Intelligence
Gabriele De Carolis, Vincenzo Giannico, Leonardo Costanza, et al.
Agronomy (2025) Vol. 15, Iss. 1, pp. 241-241
Open Access | Times Cited: 1

Predicting oil palm yield using a comprehensive agronomy dataset and 17 machine learning and deep learning models
Ehsan Jolous Jamshidi, Yusri Yusup, Chee‐Wooi Hooy, et al.
Ecological Informatics (2024) Vol. 81, pp. 102595-102595
Open Access | Times Cited: 8

Wheat Yield Estimation Using Machine Learning Method Based on UAV Remote Sensing Data
Shurong Yang, Lei Li, Shuaipeng Fei, et al.
(2024)
Open Access | Times Cited: 6

Mapping Plant Nitrogen Concentration and Aboveground Biomass of Potato Crops from Sentinel-2 Data Using Ensemble Learning Models
Hang Yin, Fei Li, Haibo Yang, et al.
Remote Sensing (2024) Vol. 16, Iss. 2, pp. 349-349
Open Access | Times Cited: 5

Wheat Yield Estimation using Machine Learning Method Based on UAV Remote Sensing Data
Shurong Yang, Lei Li, Shuaipeng Fei, et al.
(2024)
Open Access | Times Cited: 5

Yield prediction in a peanut breeding program using remote sensing data and machine learning algorithms
N. Ace Pugh, Andrew W. Young, M. D. Ojha, et al.
Frontiers in Plant Science (2024) Vol. 15
Open Access | Times Cited: 4

Soybean (Glycine max L.) Leaf Moisture Estimation Based on Multisource Unmanned Aerial Vehicle Image Feature Fusion
Wanli Yang, Zhijun Li, Guofu Chen, et al.
Plants (2024) Vol. 13, Iss. 11, pp. 1498-1498
Open Access | Times Cited: 4

An explainable Bi-LSTM model for winter wheat yield prediction
Abhasha Joshi, Biswajeet Pradhan, Subrata Chakraborty, et al.
Frontiers in Plant Science (2025) Vol. 15
Open Access

Modeling of winter wheat yield prediction based on solar-induced chlorophyll fluorescence by machine learning methods
Minxue Zheng, Han Hu, Yue Niu, et al.
European Journal of Remote Sensing (2025) Vol. 58, Iss. 1
Open Access

A Synergistic Approach Using Machine Learning and Deep Learning for Forest Fire Susceptibility in Himalayan Forests
Parthiva Shome, A. Jaya Prakash, Mukunda Dev Behera, et al.
Journal of the Indian Society of Remote Sensing (2025)
Closed Access

Modeling Short-Term Drought for SPEI in Mainland China Using the XGBoost Model
Fanchao Zeng, Q. Gao, Lifeng Wu, et al.
Atmosphere (2025) Vol. 16, Iss. 4, pp. 419-419
Open Access

Application of artificial intelligence for identification of peanut maturity using climatic variables and vegetation indices
Thiago Orlando Costa Barboza, Jarlyson Brunno Costa Souza, Marcelo Araújo Junqueira Ferraz, et al.
Precision Agriculture (2025) Vol. 26, Iss. 3
Closed Access

Machine learning assisted precise prediction of algae bloom in large-scale water diversion engineering
Yanyan Jiang, Yuanyuan Song, Junliang Liu, et al.
Desalination (2025), pp. 118880-118880
Closed Access

TKSF-KAN: Transformer-enhanced oat yield modeling and transferability across major oat-producing regions in China using UAV multisource data
Pengpeng Zhang, Bing Lu, Jiali Shang, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2025) Vol. 224, pp. 166-186
Closed Access

Developing soybean yield prediction model based on multicolor space and texture features of UAV images
Zhiming Yu, Qi Chen, Qingchao Shan, et al.
Computers and Electronics in Agriculture (2025) Vol. 235, pp. 110345-110345
Open Access

Early summer warming amplification threats towards sustainable development goals (SDGs) in India
Susanta Mahato, Swades Pal, P. K. Joshi, et al.
Ecological Informatics (2025), pp. 103156-103156
Open Access

Field-scale evaluation of low-elevation and mobile drip irrigation systems
Masoumeh Hashemi, Matt A. Yost, Jonathan Holt
Agricultural Water Management (2025) Vol. 314, pp. 109502-109502
Open Access

Leveraging Disruptive Technologies for Food Security: A Systematic Review on Agricultural Supply Chain Resilience to Climate Change
Budi Harsanto, Yulistyne Kasumaningrum, Muhammad Rifqi Arviansyah, et al.
Current Research in Food Science (2025), pp. 101079-101079
Open Access

A spectral index for estimating grain filling rate of winter wheat using UAV-based hyperspectral images
Baoyuan Zhang, Wenbiao Wu, Jingping Zhou, et al.
Computers and Electronics in Agriculture (2024) Vol. 223, pp. 109059-109059
Closed Access | Times Cited: 3

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