OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Remote sensing for field pea yield estimation: A study of multi-scale data fusion approaches in phenomics
Afef Marzougui, Rebecca J. McGee, Stephen Van Vleet, et al.
Frontiers in Plant Science (2023) Vol. 14
Open Access | Times Cited: 12

Showing 12 citing articles:

Breeding for Biotic Stress Resistance in Pea
Diego Rubiales, Eleonora Barilli, Nicolás Rispail
Agriculture (2023) Vol. 13, Iss. 9, pp. 1825-1825
Open Access | Times Cited: 17

Investigating Pea (Pisum sativum L.) Flowering with High Throughput Field Phenotyping and Object Detection
Corina Oppliger, Radek Zenkl, Achim Walter, et al.
Smart Agricultural Technology (2025), pp. 100942-100942
Open Access

Evaluation of genotype x environment interaction using yield and UAV-based vegetation index data from multi-environment trials in chickpea
Kingsley Charles Umani, Sintayehu D. Daba, Julia Piaskowski, et al.
Journal of Crop Improvement (2025), pp. 1-26
Closed Access

Deep Learning and Reinforcement Learning Methods for Advancing Sustainable Agricultural and Natural Resource Management
Soumyashree Kar, J. Adinarayana
Studies in big data (2024), pp. 201-223
Closed Access | Times Cited: 2

Impact of remote sensing data fusion on agriculture applications: A review
Ayyappa Reddy Allu, Shashi Mesapam
European Journal of Agronomy (2024) Vol. 164, pp. 127478-127478
Closed Access | Times Cited: 1

Effect of high-resolution satellite and UAV imagery plot pixel resolution in wheat crop yield prediction
Worasit Sangjan, Arron H. Carter, Michael Pumphrey, et al.
International Journal of Remote Sensing (2024) Vol. 45, Iss. 5, pp. 1678-1698
Open Access | Times Cited: 1

RMSRGAN: A Real Multispectral Imagery Super-Resolution Reconstruction for Enhancing Ginkgo Biloba Yield Prediction
Kaixuan Fan, Min Hu, Maocheng Zhao, et al.
Forests (2024) Vol. 15, Iss. 5, pp. 859-859
Open Access | Times Cited: 1

Validation of Unmanned Aerial Vehicle Photogrammetry for Landslide Mapping
Muhammad Mukhlisin, Hany Windri Astuti, Eni Dwi Wardihani, et al.
International Journal on Advanced Science Engineering and Information Technology (2024) Vol. 14, Iss. 1, pp. 65-72
Open Access

A pulse crop dataset of agronomic traits and multispectral images from multiple environments
Kingsley Charles Umani, Chongyuan Zhang, Rebecca J. McGee, et al.
Data in Brief (2023) Vol. 53, pp. 110013-110013
Open Access | Times Cited: 1

Rapid Detection of Soybean Nutrient Deficiencies Using YOLOv8s: Advancing Precision Agriculture
Minsoo Jeong, Sihyun Park, S. Kwon, et al.
Research Square (Research Square) (2024)
Open Access

Page 1

Scroll to top