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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:

Multi-task learning model for agricultural pest detection from crop-plant imagery: A Bayesian approach
Abderraouf Amrani, Dean Diepeveen, David W. Murray, et al.
Computers and Electronics in Agriculture (2024) Vol. 218, pp. 108719-108719
Open Access | Times Cited: 15

Showing 15 citing articles:

Plant disease recognition in a low data scenario using few-shot learning
Masoud Rezaei, Dean Diepeveen, Hamid Laga, et al.
Computers and Electronics in Agriculture (2024) Vol. 219, pp. 108812-108812
Open Access | Times Cited: 26
Research progress on the artificial intelligence applications in food safety and quality management
Wenbin Yu, Zhiwei Ouyang, Yufei Zhang, et al.
Trends in Food Science & Technology (2024), pp. 104855-104855
Closed Access | Times Cited: 5
Türkiye’nin Teknolojik Gelişiminin Ekonomik Büyümeye Etkisinin Modellenmesi ve Tahminlenmesi
Mulla Veli Ablay, Ahmet DOĞAN
Eskişehir Osmangazi Üniversitesi İktisadi ve İdari Bilimler Dergisi (2025) Vol. 20, Iss. 3, pp. 1044-1065
Open Access
Pest detection in dynamic environments: an adaptive continual test-time domain adaptation strategy
Rui Fu, Shiyu Wang, Mingqing Dong, et al.
Plant Methods (2025) Vol. 21, Iss. 1
Open Access
Barley disease recognition using deep neural networks
Masoud Rezaei, Sanjiv Gupta, Dean Diepeveen, et al.
European Journal of Agronomy (2024) Vol. 161, pp. 127359-127359
Open Access | Times Cited: 3
Enhancing Precision in Rice Leaf Disease Detection: A Transformer Model Approach with Attention Mapping
Sarder Tanvir Ahmed, Shomtirtha Barua, Md. Fahim-Ul-Islam, et al.
(2024), pp. 1-6
Closed Access | Times Cited: 2
Fruit freshness detection based on multi-task convolutional neural network
Yinsheng Zhang, Xudong Yang, Yongbo Cheng, et al.
Current Research in Food Science (2024) Vol. 8, pp. 100733-100733
Open Access | Times Cited: 2
Innovative Lightweight Deep Learning Architecture for Enhanced Rice Pest Identification
Haiying Song, Y. Yan, Shijun Deng, et al.
Physica Scripta (2024) Vol. 99, Iss. 9, pp. 096007-096007
Open Access | Times Cited: 1
A transformer-based few-shot learning pipeline for barley disease detection from field-collected imagery
Masoud Rezaei, Dean Diepeveen, Hamid Laga, et al.
Computers and Electronics in Agriculture (2024) Vol. 229, pp. 109751-109751
Open Access | Times Cited: 1
Machine learning-based potential loss assessment of maize and rice production due to flash flood in Himachal Pradesh, India
Swadhina Koley, Soora Naresh Kumar
Environmental Monitoring and Assessment (2024) Vol. 196, Iss. 6
Closed Access
Wildfire Detection Powered by Involutional Neural Network and Multitask Learning With Dark Channel Prior Technique
Md. Fahim-Ul-Islam, Noshin Tabassum, Amitabha Chakrabarty, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2024) Vol. 17, pp. 19095-19114
Open Access
Early Detection and Prediction of Pests in Field Crops Using Transfer Learning
Zeeshan Ali Haider, Fida Muhammad Khan, Inam Ullah Khan, et al.
VFAST Transactions on Software Engineering (2024) Vol. 12, Iss. 3, pp. 98-113
Open Access
Distillation-boosted heterogeneous architecture search for aphid counting
Shengqin Jiang, Jie Qian, Fengna Cheng, et al.
Expert Systems with Applications (2024), pp. 125936-125936
Closed Access
Automated Machine Learning Classification Framework to Predict Crop Yield and Detect Pest Patterns
R. Gopi, Tamil Selvi M, G. Saranraj, et al.
International Journal of experimental research and review (2024) Vol. 46, pp. 177-190
Closed Access
Morphology-based weed type recognition using Siamese network
A S M Mahmudul Hasan, Dean Diepeveen, Hamid Laga, et al.
European Journal of Agronomy (2024) Vol. 163, pp. 127439-127439
Open Access
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