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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:

An Improved U-Net Model Based on Multi-Scale Input and Attention Mechanism: Application for Recognition of Chinese Cabbage and Weed
Zhongyang Ma, Gang Wang, Jurong Yao, et al.
Sustainability (2023) Vol. 15, Iss. 7, pp. 5764-5764
Open Access | Times Cited: 11

Showing 11 citing articles:

Improving U-net network for semantic segmentation of corns and weeds during corn seedling stage in field
Jiapeng Cui, Tan Feng, Nan Bai, et al.
Frontiers in Plant Science (2024) Vol. 15
Open Access | Times Cited: 11
Field cabbage detection and positioning system based on improved YOLOv8n
Ping Jiang, Aolin Qi, Jiao Zhong, et al.
Plant Methods (2024) Vol. 20, Iss. 1
Open Access | Times Cited: 8
Crop Type Identification Using High-Resolution Remote Sensing Images Based on an Improved DeepLabV3+ Network
Chang Zhu, Hu Li, Donghua Chen, et al.
Remote Sensing (2023) Vol. 15, Iss. 21, pp. 5088-5088
Open Access | Times Cited: 16
Crop detection technologies, mechanical weeding executive parts and working performance of intelligent mechanical weeding: a review
Meiqi Xiang, Minghao Qu, Gang Wang, et al.
Frontiers in Plant Science (2024) Vol. 15
Open Access | Times Cited: 5
Key Technologies of Intelligent Weeding for Vegetables: A Review
Jinkang Jiao, Ying Zang, Chaowen Chen
Agriculture (2024) Vol. 14, Iss. 8, pp. 1378-1378
Open Access | Times Cited: 5
Innovative Blade and Tine Push Weeder for Enhancing Weeding Efficiency of Small Farmers
Kuppan Praveen, Ningaraj Belagalla, Nagaraju Dharavat, et al.
Sustainability (2025) Vol. 17, Iss. 6, pp. 2639-2639
Open Access
Real-time detection of Chinese cabbage seedlings in the field based on YOLO11-CGB
Hang Shi, Changxi Liu, Miao Wu, et al.
Frontiers in Plant Science (2025) Vol. 16
Open Access
An application oriented all-round intelligent weeding machine with enhanced YOLOv5
Meiqi Xiang, Xiaomei Gao, Gang Wang, et al.
Biosystems Engineering (2024) Vol. 248, pp. 269-282
Closed Access | Times Cited: 2
Influence of Spatial Scale Effect on UAV Remote Sensing Accuracy in Identifying Chinese Cabbage (Brassica rapa subsp. Pekinensis) Plants
Xiandan Du, Zhongfa Zhou, Denghong Huang
Agriculture (2024) Vol. 14, Iss. 11, pp. 1871-1871
Open Access | Times Cited: 1
Lightweight cabbage segmentation network and improved weed detection method
Xiaotong Kong, Aimin Li, Teng Liu, et al.
Computers and Electronics in Agriculture (2024) Vol. 226, pp. 109403-109403
Closed Access
Neural network approaches to precipitation nowcasting: A review and test of existing methods
M. O. Kuchma, S.I. Malkovsky, Alexander Andreev, et al.
Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa (2023) Vol. 20, Iss. 6, pp. 35-48
Open Access
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