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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-based detection of seedling development
Salma Samiei, Pejman Rasti, Joseph Ly Vu, et al.
Plant Methods (2020) Vol. 16, Iss. 1
Open Access | Times Cited: 68

Showing 26-50 of 68 citing articles:

CBAM + ASFF-YOLOXs: An improved YOLOXs for guiding agronomic operation based on the identification of key growth stages of lettuce
Pan Zhang, Daoliang Li
Computers and Electronics in Agriculture (2022) Vol. 203, pp. 107491-107491
Closed Access | Times Cited: 15
A novel CNN gap layer for growth prediction of palm tree plantlings
T. Ananth Kumar, R. Rajmohan, Sunday Adeola Ajagbe, et al.
PLoS ONE (2023) Vol. 18, Iss. 8, pp. e0289963-e0289963
Open Access | Times Cited: 8
Deep Learning Models to Determine Nutrient Concentration in Hydroponically Grown Lettuce Cultivars (Lactuca sativa L.)
Mostofa Ahsan, Sulaymon Eshkabilov, Bilal Cemek, et al.
Sustainability (2021) Vol. 14, Iss. 1, pp. 416-416
Open Access | Times Cited: 19
Deep Learning for Image-Based Plant Growth Monitoring: A Review
Yin-Syuen Tong, Tou-Hong Lee, Kin Sam Yen
International Journal of Engineering and Technology Innovation (2022) Vol. 12, Iss. 3, pp. 225-246
Open Access | Times Cited: 13
Evaluation of Growth and Photosynthetic Rate of Cucumber Seedlings Affected by Far-Red Light Using a Semi-Open Chamber and Imaging System
Yu Hyun Moon, Myongkyoon Yang, Ui Jeong Woo, et al.
Horticulturae (2023) Vol. 9, Iss. 1, pp. 98-98
Open Access | Times Cited: 7
Detection of Growth Stages of Chilli Plants in a Hydroponic Grower Using Machine Vision and YOLOv8 Deep Learning Algorithms
Florian Schneider, J.A. Swiatek, Mohieddine Jelali
Sustainability (2024) Vol. 16, Iss. 15, pp. 6420-6420
Open Access | Times Cited: 2
Integrating physiological and molecular insights in cotton under cold stress conditions
Aamir Ali Abro, Muhammad Qasim, Mubashir Abbas, et al.
Genetic Resources and Crop Evolution (2024)
Closed Access | Times Cited: 2
Design and experiment of intelligent sorting and transplanting system for healthy vegetable seedlings
Mingyong Li, Xin Jin, Jiangtao Ji, et al.
International journal of agricultural and biological engineering (2021) Vol. 14, Iss. 3, pp. 208-216
Open Access | Times Cited: 12
Autoencoder-based 3D representation learning for industrial seedling abnormality detection
Hendrik de Villiers, Gerwoud Otten, Aneesh Chauhan, et al.
Computers and Electronics in Agriculture (2023) Vol. 206, pp. 107619-107619
Open Access | Times Cited: 4
Derin öğrenme yöntemleri kullanılarak ayçiçeği bitkisinin gelişim evrelerinin tespiti
Gülay Karahanlı, Cem Taşkın
Gazi Üniversitesi Mühendislik-Mimarlık Fakültesi Dergisi (2024) Vol. 39, Iss. 3, pp. 1455-1472
Open Access | Times Cited: 1
Synergizing LED Technology and Hydropriming for Intelligent Modeling and Mathematical Expressions to Optimize Chickpea Germination and Growth Indices
Muhammad Aasım, Fatma Ebru Akın, Syed Amjad Ali
Journal of Plant Growth Regulation (2024) Vol. 43, Iss. 7, pp. 2340-2359
Open Access | Times Cited: 1
Detection of Growth Stages of Chilli Plants in a Hydroponic Grower Using Machine Vision and YOLOv8 Deep Learning Algorithms
Florian Schneider, J.A. Swiatek, Mohieddine Jelali
(2024)
Open Access | Times Cited: 1
The microRNA156/SPL9 module mediates auxin response to facilitate apical hook maintenance in Arabidopsis
Flaviani Gabriela Pierdoná, A Silva, Mateus Henrique Vicente, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Closed Access | Times Cited: 1
Optimizing Basil Seed Vigor Evaluations: An Automatic Approach Using Computer Vision-Based Technique
Júlio César Altizani Júnior, Sílvio Moure Cícero, Cristina Batista de Lima, et al.
Horticulturae (2024) Vol. 10, Iss. 11, pp. 1220-1220
Open Access | Times Cited: 1
Automated Seedling Contour Determination and Segmentation Using Support Vector Machine and Image Features
Samsuzzaman Samsuzzaman, Md Nasim Reza, Sumaiya Islam, et al.
Agronomy (2024) Vol. 14, Iss. 12, pp. 2940-2940
Open Access | Times Cited: 1
The Use of Computer Vision to Improve the Affinity of Rootstock-Graft Combinations and Identify Diseases of Grape Seedlings
Мarina Rudenko, Yu. V. Plugatar, V. Korzin, et al.
Inventions (2023) Vol. 8, Iss. 4, pp. 92-92
Open Access | Times Cited: 4
Potential analysis of an automatic transplanting method for healthy potted seedlings using computer vision
Xin Jin, Lumei Tang, Jiangtao Ji, et al.
International journal of agricultural and biological engineering (2021) Vol. 14, Iss. 6, pp. 162-168
Open Access | Times Cited: 10
A deep learning approach to track Arabidopsis seedlings’ circumnutation from time-lapse videos
Yixiang Mao, Hejian Liu, Yao Wang, et al.
Plant Methods (2023) Vol. 19, Iss. 1
Open Access | Times Cited: 3
Radish Plant Growth Monitoring Using Multimodal Fusion
Shreya Bansal, M. Singh, Seema Barda, et al.
(2023), pp. 25-29
Closed Access | Times Cited: 3
Enhancing the Tracking of Seedling Growth Using RGB-Depth Fusion and Deep Learning
Hadhami Garbouge, Pejman Rasti, David Rousseau
Sensors (2021) Vol. 21, Iss. 24, pp. 8425-8425
Open Access | Times Cited: 7
Deep Learning-Based Detection of Seedling Development from Indoor to Outdoor
Hadhami Garbouge, Pejman Rasti, David Rousseau
Communications in computer and information science (2022), pp. 121-131
Closed Access | Times Cited: 4
Fast anther dehiscence status recognition system established by deep learning to screen heat tolerant cotton
Zhihao Tan, Jiawei Shi, Rongjie Lv, et al.
Plant Methods (2022) Vol. 18, Iss. 1
Open Access | Times Cited: 4
On the Use of Circadian Cycles to Monitor Individual Young Plants
Mathis Cordier, Cindy Torres, Pejman Rasti, et al.
Remote Sensing (2023) Vol. 15, Iss. 11, pp. 2704-2704
Open Access | Times Cited: 2
Analysis and prediction of seed quality using machine learning
Raghavendra Srinivasaiah, Meenakshi Meenakshi, Ravikumar Hodikehosahally Channegowda, et al.
International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering (2023) Vol. 13, Iss. 5, pp. 5770-5770
Open Access | Times Cited: 2
Growth Data—An automatic solution for seedling growth analysis via RGB-Depth imaging sensors
Geoffroy Couasnet, Mathis Cordier, Hadhami Garbouge, et al.
SoftwareX (2023) Vol. 24, pp. 101572-101572
Open Access | Times Cited: 2

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