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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:

The CropAndWeed Dataset: a Multi-Modal Learning Approach for Efficient Crop and Weed Manipulation
Daniel Steininger, Andreas Trondl, Gerardus Croonen, et al.
2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (2023), pp. 3718-3727
Closed Access | Times Cited: 12

Showing 12 citing articles:

PhenoBench: A Large Dataset and Benchmarks for Semantic Image Interpretation in the Agricultural Domain
Jan Weyler, Federico Magistri, Elias Marks, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2024) Vol. 46, Iss. 12, pp. 9583-9594
Open Access | Times Cited: 12
VM-YOLO: YOLO with VMamba for Strawberry Flowers Detection
Yujin Wang, Xueying Lin, Zhaowei Xiang, et al.
Plants (2025) Vol. 14, Iss. 3, pp. 468-468
Open Access
YOLO-CWD: A novel model for crop and weed detection based on improved YOLOv8
Chong Ma, Ge Chi, Xueping Ju, et al.
Crop Protection (2025), pp. 107169-107169
Closed Access
The Blessing of Depth Anything: An Almost Unsupervised Approach to Crop Segmentation with Depth-Informed Pseudo Labeling
Shuyu Cao, Binghui Xu, Wei Zhou, et al.
Plant Phenomics (2025), pp. 100005-100005
Open Access
A cross-domain challenge with panoptic segmentation in agriculture
Michael Halstead, Patrick Zimmer, Chris McCool
The International Journal of Robotics Research (2024) Vol. 43, Iss. 8, pp. 1151-1174
Closed Access | Times Cited: 2
In-line image analysis of particulate processes with deep learning: Optimizing training data generation via copy-paste augmentation
Sarah Daus, Thomas Buchwald, Urs A. Peuker
Powder Technology (2024) Vol. 443, pp. 119884-119884
Open Access | Times Cited: 1
SWFormer: A scale-wise hybrid CNN-Transformer network for multi-classes weed segmentation
Hongkui Jiang, Qiupu Chen, Rujing Wang, et al.
Journal of King Saud University - Computer and Information Sciences (2024) Vol. 36, Iss. 7, pp. 102144-102144
Open Access | Times Cited: 1
Efficient Crop vs Weed Detection in Precision Agriculture: A CNN Approach for Real-Time Decision Making
M Nayana, R M Khushi, S A Pragnya, et al.
(2024), pp. 1-4
Closed Access
Image Cropping Method
Huiyang Wang, Guanghua Chen, Zhibo Zhang
(2024) Vol. 144, pp. 527-534
Closed Access
Counting Canola: Towards Generalizable Aerial Plant Detection Models
Erik Andvaag, Kaylie Krys, Steven J. Shirtliffe, et al.
Plant Phenomics (2024) Vol. 6
Open Access
Lightweight weed detection using re-parameterized partial convolution and collection-distribution feature fusion
Yan Kun-yu, Wenbin Zheng, Yujie Yang
The Visual Computer (2024)
Closed Access
A Deep Learning Wheat-Weed Dataset
Asya Toskova, Borislav Toskov
2021 International Conference Automatics and Informatics (ICAI) (2023), pp. 502-507
Closed Access
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