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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.

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Showing 12 citing articles:

Integration of Remote Sensing and Machine Learning for Precision Agriculture: A Comprehensive Perspective on Applications
Jun Wang, Yanlong Wang, Guang Li, et al.
Agronomy (2024) Vol. 14, Iss. 9, pp. 1975-1975
Open Access | Times Cited: 9
On crop yield modelling, predicting, and forecasting and addressing the common issues in published studies
Patrick Filippi, Si Yang Han, Thomas F. A. Bishop
Precision Agriculture (2024) Vol. 26, Iss. 1
Open Access | Times Cited: 5
Grain Crop Yield Prediction Using Machine Learning Based on UAV Remote Sensing: A Systematic Literature Review
Jianghao Yuan, Yangliang Zhang, Zuojun Zheng, et al.
Drones (2024) Vol. 8, Iss. 10, pp. 559-559
Open Access | Times Cited: 4
Prediction of winter wheat nitrogen status using UAV imagery, weather data, and machine learning
Takashi Tanaka, René Gislum
European Journal of Agronomy (2025) Vol. 164, pp. 127534-127534
Open Access
Advancing biomass estimation in hydroponic lettuce using RGB-depth imaging and morphometric descriptors with machine learning
Jonathan S. Cárdenas-Gallegos, Lorena N. Lacerda, Paul M. Severns, et al.
Computers and Electronics in Agriculture (2025) Vol. 234, pp. 110299-110299
Closed Access
Integrating Sentinel-2 imagery and meteorological data to estimate leaf area index and leaf water potential, with a leave-field-out validation strategy in chickpea fields
Omer Perach, Neta Solomon, Asaf Avneri, et al.
European Journal of Agronomy (2025) Vol. 168, pp. 127632-127632
Open Access
Maize yield estimation in Northeast China’s black soil region using a deep learning model with attention mechanism and remote sensing
Xingke Li, Yunfeng Lv, Bingxue Zhu, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Assessing uncertainty of soybean yield response to seeding rates in on-farm experiments using Bayesian posterior passing technique
Luthfan Nur Habibi, Tsutomu Matsui, Takashi Tanaka
European Journal of Agronomy (2025) Vol. 168, pp. 127651-127651
Open Access
Oilseed Rape Yield Prediction from UAVs Using Vegetation Index and Machine Learning: A Case Study in East China
Hao Hu, Yun Ren, Hongkui Zhou, et al.
Agriculture (2024) Vol. 14, Iss. 8, pp. 1317-1317
Open Access | Times Cited: 1
Machine Learning Framework to Enhance Agricultural Output Prediction
N Abirami, Vidhya Balaji
(2024), pp. 937-942
Closed Access | Times Cited: 1
Machine learning-based potential loss assessment of maize and rice production due to flash flood in Himachal Pradesh, India
Swadhina Koley, Soora Naresh Kumar
Environmental Monitoring and Assessment (2024) Vol. 196, Iss. 6
Closed Access
Advancements in UAV Remote Sensing for Agricultural Yield Estimation: A Systematic Comprehensive Review of Platforms, Sensors, and Data Analytics
Shubham Anil Gade, Mallappa Jadiyappa Madolli, Pedro García‐Caparrós, et al.
Remote Sensing Applications Society and Environment (2024), pp. 101418-101418
Closed Access
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