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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.

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Showing 15 citing articles:

Advancing precision agriculture: The potential of deep learning for cereal plant head detection
Alireza Sanaeifar, Mahamed Lamine Guindo, Adel Bakhshipour, et al.
Computers and Electronics in Agriculture (2023) Vol. 209, pp. 107875-107875
Open Access | Times Cited: 32
Establishment of deep learning model for the growth of tea cutting seedlings based on hyperspectral imaging technique
He Li, Yilin Mao, Hongtao Shi, et al.
Scientia Horticulturae (2024) Vol. 331, pp. 113106-113106
Closed Access | Times Cited: 6
A High‐Throughput Phenotyping Pipeline for Quinoa (Chenopodium quinoa) Panicles Using Image Analysis With Convolutional Neural Networks
Flavio Lozano‐Isla, Lydia Kienbaum, Bettina I. G. Haussmann, et al.
Plant Breeding (2025)
Open Access
Improved Mask R-CNN Combined with Otsu Preprocessing for Rice Panicle Detection and Segmentation
Shilan Hong, Zhaohui Jiang, Lianzhong Liu, et al.
Applied Sciences (2022) Vol. 12, Iss. 22, pp. 11701-11701
Open Access | Times Cited: 18
Plant microphenotype: from innovative imaging to computational analysis
Ying Zhang, Shenghao Gu, Jianjun Du, et al.
Plant Biotechnology Journal (2024) Vol. 22, Iss. 4, pp. 802-818
Open Access | Times Cited: 3
Tiny Criss-Cross Network for segmenting paddy panicles using aerial images
Anitha Ramachandran, K.S. Sendhil Kumar
Computers & Electrical Engineering (2023) Vol. 108, pp. 108728-108728
Closed Access | Times Cited: 7
Developing thermal infrared de-ghost and multi-level nested conglutinated segmentation algorithm for detection of rice seed setting rate
Jun Zhou, Xiangyu Lu, Rui Yang, et al.
Computers and Electronics in Agriculture (2023) Vol. 207, pp. 107725-107725
Closed Access | Times Cited: 5
Recognizing and monitoring infectious sources of schistosomiasis by developing deep learning models with high-resolution remote sensing images
Jing-Bo Xue, Shang Xia, Xinyi Wang, et al.
Infectious Diseases of Poverty (2023) Vol. 12, Iss. 1
Open Access | Times Cited: 4
Automatic and Accurate Calculation of Rice Seed Setting Rate Based on Image Segmentation and Deep Learning
Yixin Guo, Shuai Li, Zhanguo Zhang, et al.
Frontiers in Plant Science (2021) Vol. 12
Open Access | Times Cited: 11
Volumetric Instance Detection for Overlapping Shoes in Computed Tomography
Martin Leipert, Gabriel Herl, Simon Zabler, et al.
e-Journal of Nondestructive Testing (2024) Vol. 29, Iss. 3
Open Access
Deep Learning Detection and Segmentation of Facet Joints in Ultrasound Images Based on Convolutional Neural Networks and Enhanced Data Annotation
Lingeer Wu, Di Xia, Jin Wang, et al.
Diagnostics (2024) Vol. 14, Iss. 7, pp. 755-755
Open Access
Employing Image Processing and Deep Learning in Gradation and Classification of Paddy Grain
Sudhanshu Ranjan, Anurag Sinha, Susmita Ranjan
Intelligent systems reference library (2023), pp. 85-111
Closed Access | Times Cited: 1
Identification and Counting of Sorghum Panicles Using Artificial Intelligence Based Drone Field Phenotyping
Modou Mbaye, Alain Audebert
Advances in Artificial Intelligence and Machine Learning (2021) Vol. 01, Iss. 03., pp. 234-240
Open Access | Times Cited: 1
Phenotype Analysis of Arabidopsis thaliana Based on Optimized Multi-Task Learning
Peisen Yuan, Shuning Xu, Zhaoyu Zhai, et al.
Mathematics (2023) Vol. 11, Iss. 18, pp. 3821-3821
Open Access
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