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:
Performance evaluation of semi-supervised learning frameworks for multi-class weed detection
Jiajia Li, Dong Chen, Xunyuan Yin, et al.
Frontiers in Plant Science (2024) Vol. 15
Open Access | Times Cited: 6
Jiajia Li, Dong Chen, Xunyuan Yin, et al.
Frontiers in Plant Science (2024) Vol. 15
Open Access | Times Cited: 6
Showing 6 citing articles:
Foundation models in smart agriculture: Basics, opportunities, and challenges
Jiajia Li, Mingle Xu, Lirong Xiang, et al.
Computers and Electronics in Agriculture (2024) Vol. 222, pp. 109032-109032
Closed Access | Times Cited: 13
Jiajia Li, Mingle Xu, Lirong Xiang, et al.
Computers and Electronics in Agriculture (2024) Vol. 222, pp. 109032-109032
Closed Access | Times Cited: 13
MetaFruit meets foundation models: Leveraging a comprehensive multi-fruit dataset for advancing agricultural foundation models
Jiajia Li, Kyle Lammers, Xunyuan Yin, et al.
Computers and Electronics in Agriculture (2025) Vol. 231, pp. 109908-109908
Closed Access
Jiajia Li, Kyle Lammers, Xunyuan Yin, et al.
Computers and Electronics in Agriculture (2025) Vol. 231, pp. 109908-109908
Closed Access
Deep learning model optimization methods and performance evaluation of YOLOv8 for enhanced weed detection in soybeans
Estéfani Sulzbach, Ismael Scheeren, Manuel Speranza Torres Veras, et al.
Computers and Electronics in Agriculture (2025) Vol. 232, pp. 110117-110117
Closed Access
Estéfani Sulzbach, Ismael Scheeren, Manuel Speranza Torres Veras, et al.
Computers and Electronics in Agriculture (2025) Vol. 232, pp. 110117-110117
Closed Access
A Lightweight Cotton Field Weed Detection Model Enhanced with EfficientNet and Attention Mechanisms
Zheng Lu, Lyujia Long, Chengao Zhu, et al.
Agronomy (2024) Vol. 14, Iss. 11, pp. 2649-2649
Open Access | Times Cited: 1
Zheng Lu, Lyujia Long, Chengao Zhu, et al.
Agronomy (2024) Vol. 14, Iss. 11, pp. 2649-2649
Open Access | Times Cited: 1
HierbaNetV1: a novel feature extraction framework for deep learning-based weed identification
J Justina Michael, Thenmozhi Manivasagam
PeerJ Computer Science (2024) Vol. 10, pp. e2518-e2518
Open Access | Times Cited: 1
J Justina Michael, Thenmozhi Manivasagam
PeerJ Computer Science (2024) Vol. 10, pp. e2518-e2518
Open Access | Times Cited: 1
Remote Sensing and GIS for Weed Detection Using Enhanced Spatial Insights
Faran Masood Peerzada, Zeeshan Ali Shah
Advances in geospatial technologies book series (2024), pp. 251-276
Closed Access
Faran Masood Peerzada, Zeeshan Ali Shah
Advances in geospatial technologies book series (2024), pp. 251-276
Closed Access
