
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:
Efficient and Lightweight Automatic Wheat Counting Method with Observation-Centric SORT for Real-Time Unmanned Aerial Vehicle Surveillance
Jie Chen, Xiaochun Hu, Jiahao Lu, et al.
Agriculture (2023) Vol. 13, Iss. 11, pp. 2110-2110
Open Access | Times Cited: 6
Jie Chen, Xiaochun Hu, Jiahao Lu, et al.
Agriculture (2023) Vol. 13, Iss. 11, pp. 2110-2110
Open Access | Times Cited: 6
Showing 6 citing articles:
Improved YOLOv8 and SAHI Model for the Collaborative Detection of Small Targets at the Micro Scale: A Case Study of Pest Detection in Tea
Rong Ye, Quan Gao, Qian Ye, et al.
Agronomy (2024) Vol. 14, Iss. 5, pp. 1034-1034
Open Access | Times Cited: 17
Rong Ye, Quan Gao, Qian Ye, et al.
Agronomy (2024) Vol. 14, Iss. 5, pp. 1034-1034
Open Access | Times Cited: 17
Enhanced recognition and counting of high-coverage Amorphophallus konjac by integrating UAV RGB imagery and deep learning
Ziyi Yang, Kunrong Hu, Weili Kou, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Ziyi Yang, Kunrong Hu, Weili Kou, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Light-FC-YOLO: A Lightweight Method for Flower Counting Based on Enhanced Feature Fusion with a New Efficient Detection Head
Xiaomei Yi, Hanyu Chen, Peng Wu, et al.
Agronomy (2024) Vol. 14, Iss. 6, pp. 1285-1285
Open Access | Times Cited: 1
Xiaomei Yi, Hanyu Chen, Peng Wu, et al.
Agronomy (2024) Vol. 14, Iss. 6, pp. 1285-1285
Open Access | Times Cited: 1
Spectral‐genomic chain‐model approach enhances the wheat yield component prediction under the Mediterranean climate
Roy Sadeh, Roi Ben‐David, Ittai Herrmann, et al.
Physiologia Plantarum (2024) Vol. 176, Iss. 4
Open Access | Times Cited: 1
Roy Sadeh, Roi Ben‐David, Ittai Herrmann, et al.
Physiologia Plantarum (2024) Vol. 176, Iss. 4
Open Access | Times Cited: 1
COTTON-YOLO: Enhancing Cotton Boll Detection and Counting in Complex Environmental Conditions Using an Advanced YOLO Model
Ziao Lu, Bo Han, Luan Dong, et al.
Applied Sciences (2024) Vol. 14, Iss. 15, pp. 6650-6650
Open Access
Ziao Lu, Bo Han, Luan Dong, et al.
Applied Sciences (2024) Vol. 14, Iss. 15, pp. 6650-6650
Open Access
Enhancing Wheat Spike Counting and Disease Detection Using a Probability Density Attention Mechanism in Deep Learning Models for Precision Agriculture
Ruiheng Li, Wenjie Hong, Ruiming Wu, et al.
Plants (2024) Vol. 13, Iss. 24, pp. 3462-3462
Open Access
Ruiheng Li, Wenjie Hong, Ruiming Wu, et al.
Plants (2024) Vol. 13, Iss. 24, pp. 3462-3462
Open Access