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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:

Deep-Learning Approach for Fusarium Head Blight Detection in Wheat Seeds Using Low-Cost Imaging Technology
Rodrigo Cupertino Bernardes, André Dantas de Medeiros, Laércio Junio da Silva, et al.
Agriculture (2022) Vol. 12, Iss. 11, pp. 1801-1801
Open Access | Times Cited: 19

Showing 19 citing articles:

Application of deep learning for high-throughput phenotyping of seed: a review
Jin Chen, Lei Zhou, Yuanyuan Pu, et al.
Artificial Intelligence Review (2025) Vol. 58, Iss. 3
Open Access | Times Cited: 1
Machine Learning Applied to the Detection of Mycotoxin in Food: A Systematic Review
Alan N. Inglis, Andrew Parnell, Natarajan Subramani, et al.
Toxins (2024) Vol. 16, Iss. 6, pp. 268-268
Open Access | Times Cited: 6
Wheat Fusarium Head Blight Automatic Non-Destructive Detection Based on Multi-Scale Imaging: A Technical Perspective
Guoqing Feng, Ying Gu, Cheng Wang, et al.
Plants (2024) Vol. 13, Iss. 13, pp. 1722-1722
Open Access | Times Cited: 5
Detection of Mycotoxin Contamination in Foods Using Artificial Intelligence: A Review
Ashish Aggarwal, Akanksha Mishra, Nazia Tabassum, et al.
Foods (2024) Vol. 13, Iss. 20, pp. 3339-3339
Open Access | Times Cited: 4
Convolutional Neural Network Model for Variety Classification and Seed Quality Assessment of Winter Rapeseed
P. Rybacki, Janetta Niemann, Kiril Bahćevandžiev, et al.
Sensors (2023) Vol. 23, Iss. 5, pp. 2486-2486
Open Access | Times Cited: 9
YOLOv8s-CGF: a lightweight model for wheat ear Fusarium head blight detection
Chengkai Yang, Xiaoyun Sun, Jian Wang, et al.
PeerJ Computer Science (2024) Vol. 10, pp. e1948-e1948
Open Access | Times Cited: 2
How Can the Engineering Parameters of the NIR Grader Affect the Efficiency of Seed Grading?
Tatyana Novikova, Clíssia Barboza da Silva, Paweł Tylek, et al.
Agriculture (2022) Vol. 12, Iss. 12, pp. 2125-2125
Open Access | Times Cited: 10
Gene Diversity In Seed Crop Of Taurus Cedar (Cedrus Libani A. Rich.) Over An Altitudinal Range
Nilüfer Yazıcı, Tatyana Novikova, Arthur Novikov, et al.
GEOGRAPHY ENVIRONMENT SUSTAINABILITY (2024) Vol. 16, Iss. 4, pp. 63-71
Open Access | Times Cited: 1
The effect of the individual seed mass of Negorelskaya variety Scots pine (Pinus sylvestris L.) on 30-day germination in 40-cell SideSlit growing containers
Arthur Novikov, Siarhei Rabko, Tatyana Novikova, et al.
Forestry Engineering Journal (2023) Vol. 13, Iss. 2, pp. 59-86
Open Access | Times Cited: 3
KNN-based approach for the classification of fusarium wilt disease in chickpea based on color and texture features
Tolga Hayıt, Ali Endes, Fatma HAYIT
European Journal of Plant Pathology (2023) Vol. 168, Iss. 4, pp. 665-681
Closed Access | Times Cited: 3
Germinative paddy seed identification using deep convolutional neural network
Mohammad Aminul Islam, Md. Rakib Hassan, Machbah Uddin, et al.
Multimedia Tools and Applications (2023) Vol. 82, Iss. 25, pp. 39481-39501
Closed Access | Times Cited: 2
Classifying Sunn Pest Damaged and Healthy Wheat Grains Across Different Species with YOLOV8 and Vision Transformers
Melike Çolak, Özgü Özkan, Nergis Pervan-Akman, et al.
Journal of Advanced Research in Natural and Applied Sciences (2024) Vol. 10, Iss. 4, pp. 771-785
Open Access
The VIS-Spectrometric Data of Scots Pine Individual Seed Reveal Forecasting Potential for Container-Grown Germination and Seedling’s Dickson Quality Index
Tatyana Novikova, E. Petrishchev, Arthur Novikov
(2023)
Open Access | Times Cited: 1
Reforestation pipeline: case for quality management of NIR-region grading of Scots pine seeds and FLR-algorithm for information processing
Tatyana Novikova, E. Petrishchev, Arthur Novikov
Silva Balcanica (2023) Vol. 24, Iss. 3, pp. 5-16
Open Access | Times Cited: 1
Studying the spectrometric features of forest seeds to improve sowing qualities: a retrospective cluster analysis of the scientific landscape trends
Tatyana Novikova, Arthur Novikov, E. Petrishchev
Forestry Engineering Journal (2024) Vol. 13, Iss. 4, pp. 23-39
Open Access
Identification of hickory nuts with different oxidation levels by integrating self-supervised and supervised learning
Haoyu Kang, Dan Dai, Jian Zheng, et al.
Frontiers in Sustainable Food Systems (2023) Vol. 7
Open Access
Sunn Pest Damaged and Healthy Wheat Grains Dataset Across Different Species
Nergis Pervan-Akman, Melike Çolak, Özgü Özkan, et al.
(2023)
Open Access
Improving FHB Screening in Wheat Breeding Using an Efficient Transformer Model
Babak Azad, Ahmed Abdalla, Kwanghee Won, et al.
(2023)
Open Access

Syunev Gorbach, V Тhe, Елена Графова, et al.
Forestry Engineering Journal (2022) Vol. 12, Iss. 2
Open Access
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