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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:

In-Season Crop Type Detection by Combing Sentinel-1A and Sentinel-2 Imagery Based on the CNN Model
Mingxiang Mao, Hongwei Zhao, Gula Tang, et al.
Agronomy (2023) Vol. 13, Iss. 7, pp. 1723-1723
Open Access | Times Cited: 12

Showing 12 citing articles:

YOLO-SE: Improved YOLOv8 for Remote Sensing Object Detection and Recognition
Tianyong Wu, Youkou Dong
Applied Sciences (2023) Vol. 13, Iss. 24, pp. 12977-12977
Open Access | Times Cited: 81
RSI-YOLO: Object Detection Method for Remote Sensing Images Based on Improved YOLO
Zhuang Li, Yuan Jian-hui, Guixiang Li, et al.
Sensors (2023) Vol. 23, Iss. 14, pp. 6414-6414
Open Access | Times Cited: 23
An Apple Detection and Localization Method for Automated Harvesting under Adverse Light Conditions
Guoyu Zhang, Ye Tian, Wenhan Yin, et al.
Agriculture (2024) Vol. 14, Iss. 3, pp. 485-485
Open Access | Times Cited: 7
Advancements in crop mapping through remote sensing: A comprehensive review of concept, data sources, and procedures over four decades
Iman Khosravi
Remote Sensing Applications Society and Environment (2025), pp. 101527-101527
Closed Access
Towards sustainable agriculture in Iran using a machine learning-driven crop mapping framework
Iman Khosravi
European Journal of Remote Sensing (2025) Vol. 58, Iss. 1
Open Access
MMF-CNN: a multimodal fusion CNN network for winter wheat extraction incorporating active and passive time series data
Jingyi Chen, Haifeng Han, Mingming Xu, et al.
International Journal of Remote Sensing (2024) Vol. 45, Iss. 6, pp. 1797-1826
Closed Access | Times Cited: 3
Hazelnut mapping detection system using optical and radar remote sensing: Benchmarking machine learning algorithms
Daniele Sasso, Francesco Lodato, Anna Sabatini, et al.
Artificial Intelligence in Agriculture (2024) Vol. 12, pp. 97-108
Open Access | Times Cited: 3
Early Identification of Corn and Soybean Using Crop Growth Curve Matching Method
Ruiqing Chen, Liang Sun, Zhongxin Chen, et al.
Agronomy (2024) Vol. 14, Iss. 1, pp. 146-146
Open Access | Times Cited: 2
Recent Methods for Evaluating Crop Water Stress Using AI Techniques: A Review
Soo Been Cho, Hidayat Mohamad Soleh, Ji Won Choi, et al.
Sensors (2024) Vol. 24, Iss. 19, pp. 6313-6313
Open Access | Times Cited: 2
New Trends and Challenges in Precision and Digital Agriculture
Gniewko Niedbała, Magdalena Piekutowska, Patryk Hara
Agronomy (2023) Vol. 13, Iss. 8, pp. 2136-2136
Open Access | Times Cited: 5
A fine crop classification model based on multitemporal Sentinel-2 images
Tengfei Qu, Hong Wang, Xiaobing Li, et al.
International Journal of Applied Earth Observation and Geoinformation (2024) Vol. 134, pp. 104172-104172
Open Access | Times Cited: 1
Optimizing crop monitoring: mapping cultivation stages and types with sentinel-1/2 and random forest algorithm
Mohsen Nabil, Eslam Farg, Nagwan M. Afify, et al.
International Journal of Remote Sensing (2024), pp. 1-27
Closed Access
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