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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:

Nondestructive high-throughput sugar beet fruit analysis using X-ray CT and deep learning
Tim Van De Looverbosch, B. Vandenbussche, Pieter Verboven, et al.
Computers and Electronics in Agriculture (2022) Vol. 200, pp. 107228-107228
Closed Access | Times Cited: 19

Showing 19 citing articles:

Artificial intelligence-based techniques for adulteration and defect detections in food and agricultural industry: A review
Suhaili Othman, Nidhi Rajesh Mavani, M.A. Hussain, et al.
Journal of Agriculture and Food Research (2023) Vol. 12, pp. 100590-100590
Open Access | Times Cited: 40
Review of deep learning-based methods for non-destructive evaluation of agricultural products
Zhenye Li, Dongyi Wang, Tingting Zhu, et al.
Biosystems Engineering (2024) Vol. 245, pp. 56-83
Closed Access | Times Cited: 5
Evaluation of quality of baguette bread using image analysis technique
Chao Dong, Luelue Huang, Cheng Xiong, et al.
Journal of Food Composition and Analysis (2025) Vol. 140, pp. 107222-107222
Closed Access
Detecting endosperm cracks in soaked maize using μCT technology and R-YOLOv7-tiny
Yitao Jiao, Zheng Wang, Yuying Shang, et al.
Computers and Electronics in Agriculture (2023) Vol. 213, pp. 108232-108232
Closed Access | Times Cited: 13
Soft X-ray image recognition and classification of maize seed cracks based on image enhancement and optimized YOLOv8 model
Siyu Chen, Yixuan Li, Yidong Zhang, et al.
Computers and Electronics in Agriculture (2023) Vol. 216, pp. 108475-108475
Closed Access | Times Cited: 13
A Systematic Review of Effective Hardware and Software Factors Affecting High-Throughput Plant Phenotyping
Firozeh Solimani, Angelo Cardellicchio, Massimiliano Nitti, et al.
Information (2023) Vol. 14, Iss. 4, pp. 214-214
Open Access | Times Cited: 10
Toward robust and high-throughput detection of seed defects in X-ray images via deep learning
Sherif Hamdy, Aurélie Charrier, Laurence Le Corre, et al.
Plant Methods (2024) Vol. 20, Iss. 1
Open Access | Times Cited: 2
MCC-Net: A class attention-enhanced multi-scale model for internal structure segmentation of rice seedling stem
Minhui Chen, Juan Liao, Dequan Zhu, et al.
Computers and Electronics in Agriculture (2023) Vol. 207, pp. 107717-107717
Closed Access | Times Cited: 6
Recent advances in determining the cellular-level property evolutions of plant-based food materials during drying
Vindya Thathsaranee Weligama Thuppahige, Zachary G. Welsh, Mohammad U. H. Joardder, et al.
Trends in Food Science & Technology (2023) Vol. 143, pp. 104291-104291
Open Access | Times Cited: 5
An end-to-end seed vigor prediction model for imbalanced samples using hyperspectral image
Tiantian Pang, Chengcheng Chen, Ronghao Fu, et al.
Frontiers in Plant Science (2023) Vol. 14
Open Access | Times Cited: 5
Non-destructive detection method and experiment of pomelo volume and flesh content based on image fusion
Yiyang Han, Sai Xu, Qin Zhang, et al.
Postharvest Biology and Technology (2024) Vol. 213, pp. 112953-112953
Open Access | Times Cited: 1
Assessment of apple bruise resistance under transient collisions through X-ray computed tomography and image processing
Yin Huang, Zhenwei Liang
Biosystems Engineering (2024) Vol. 244, pp. 16-25
Closed Access | Times Cited: 1
Predictions of apple mechanical damage volume using micro-CT measurements and support vector regression(SVR)
Zhenwei Liang, Sen Wang, Yin Huang
Computers and Electronics in Agriculture (2024) Vol. 226, pp. 109402-109402
Closed Access | Times Cited: 1
Analysis of Fruit Images With Deep Learning: A Systematic Literature Review and Future Directions
SEBASTIAN PULGAR ESPINOZA, Cristhian Aguilera, Luis Rojas, et al.
IEEE Access (2023) Vol. 12, pp. 3837-3859
Open Access | Times Cited: 4
A Novel Method Combining U-Net with LSTM for Three-Dimensional Soil Pore Segmentation Based on Computed Tomography Images
Lei Liu, Qiaoling Han, Yue Zhao, et al.
Applied Sciences (2024) Vol. 14, Iss. 8, pp. 3352-3352
Open Access
Evaluation of Quality of Baguette Bread Using Image Analysis Technique
Chao Dong, Luelue Huang, Cheng Xiong, et al.
(2024)
Closed Access
A fine-grained grading network for natural products based on dynamic association inference
Shixin Cen, Qilong Xue, Yang Yu, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 136, pp. 108909-108909
Closed Access
Trends and Applications of Computed Tomography in Agricultural Non-Destructive Testing
Qi Wang, Hui Xue, Jerome Jeyakumar John Martin, et al.
Agriculture (2024) Vol. 14, Iss. 12, pp. 2329-2329
Open Access
Effects of Impact Energy and Water Soluble Pectin Content on Damage Volume of Apple Tissues During Transient Collisions
Zhenwei Liang, Yin Huang
(2023)
Closed Access
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