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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:

Mixed-Species Cover Crop Biomass Estimation Using Planet Imagery
Tulsi P. Kharel, Ammar B. Bhandari, Partson Mubvumba, et al.
Sensors (2023) Vol. 23, Iss. 3, pp. 1541-1541
Open Access | Times Cited: 17

Showing 17 citing articles:

Applications of hyperspectral imaging technology in the food industry
Da‐Wen Sun, Hongbin Pu, Jingxiao Yu
Nature Reviews Electrical Engineering (2024) Vol. 1, Iss. 4, pp. 251-263
Closed Access | Times Cited: 23
Machine Learning Approaches for Predicting Maize Biomass Yield: Leveraging Feature Engineering and Comprehensive Data Integration
Maryam Abbasi, Paulo Váz, José Silva, et al.
Sustainability (2025) Vol. 17, Iss. 1, pp. 256-256
Open Access | Times Cited: 2
From simple linear regression to machine learning methods: Canopy cover modelling of a young forest using planet data
Arun Gyawali, Hari Adhikari, Mika Aalto, et al.
Ecological Informatics (2024) Vol. 82, pp. 102706-102706
Open Access | Times Cited: 6
Machine learning on multi‐spectral imagery to estimate nutrient yield of mixed‐species cover crops
Tulsi P. Kharel, Heather L. Tyler, Partson Mubvumba, et al.
Agricultural & Environmental Letters (2025) Vol. 10, Iss. 1
Open Access
Cover Crop Biomass Predictions with Unmanned Aerial Vehicle Remote Sensing and TensorFlow Machine Learning
Aakriti Poudel, D. R. Burns, Rejina Adhikari, et al.
Drones (2025) Vol. 9, Iss. 2, pp. 131-131
Open Access
Advancing Wetland Aboveground Biomass Mapping: Insights from High-Resolution Planetscope Data in the Mississippi River Delta
Mohammadali Hemati, Masoud Mahdianpari, Hodjat Shiri, et al.
(2025)
Closed Access
Nitrogen‐based proximal sensing and data fusion for management zone delineation
Md Tawhid Hossain, Marco Donat, Ines Astrid Tougma, et al.
Agrosystems Geosciences & Environment (2025) Vol. 8, Iss. 1
Open Access
Enhancing estimation of cover crop biomass using field-based high-throughput phenotyping and machine learning models
Geng Bai, Katja Koehler‐Cole, David Scoby, et al.
Frontiers in Plant Science (2024) Vol. 14
Open Access | Times Cited: 4
Estimating Winter Cover Crop Biomass in France Using Optical Sentinel-2 Dense Image Time Series and Machine Learning
Hugo do Nascimento Bendini, Rémy Fieuzal, Pierre Carrère, et al.
Remote Sensing (2024) Vol. 16, Iss. 5, pp. 834-834
Open Access | Times Cited: 3
Artificial intelligence and satellite‐based remote sensing can be used to predict soybean (Glycine max) yield
Deepak R. Joshi, Sharon A. Clay, Prakriti Sharma, et al.
Agronomy Journal (2023) Vol. 116, Iss. 3, pp. 917-930
Open Access | Times Cited: 8
Spatial and Spectral Dependencies of Maize Yield Estimation Using Remote Sensing
Nathan Burglewski, Subhashree Navaneetha Srinivasagan, Quirine M. Ketterings, et al.
Sensors (2024) Vol. 24, Iss. 12, pp. 3958-3958
Open Access | Times Cited: 1
Soybean prediction using computationally efficient Bayesian spatial regression models and satellite imagery
Richard J. Fischer, Hossein Moradi Rekabdarkolaee, Deepak R. Joshi, et al.
Agronomy Journal (2024)
Closed Access | Times Cited: 1
On-farm cereal rye biomass estimation using machine learning on images from an unmanned aerial system
Kushal KC, Matthew Romanko, Andrew Perrault, et al.
Precision Agriculture (2024) Vol. 25, Iss. 5, pp. 2198-2225
Open Access | Times Cited: 1
Assessing the capacity of high-resolution commercial satellite imagery for grapevine downy mildew detection and surveillance in New York state
Kathleen Kanaley, David Combs, Angela Paul, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 2
Automatic Methodology for Forest Fire Mapping with SuperDove Imagery
Dionisio Rodríguez‐Esparragón, Paolo Gamba, Javier Marcello
Sensors (2024) Vol. 24, Iss. 16, pp. 5084-5084
Open Access
Evaluating UAV-Based Remote Sensing for Hay Yield Estimation
Kyuho Lee, Kenneth A. Sudduth, Jianfeng Zhou
Sensors (2024) Vol. 24, Iss. 16, pp. 5326-5326
Open Access
Rye Biomass Estimation Based on Multi-Temporal Series Uav Imagery
Wenyi Lu, Xiang Zhang, Masakazu Komatsuzaki, et al.
(2024)
Closed Access
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