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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 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

Showing 19 citing articles:

Deep Learning in Controlled Environment Agriculture: A Review of Recent Advancements, Challenges and Prospects
Mike O. Ojo, Azlan Zahid
Sensors (2022) Vol. 22, Iss. 20, pp. 7965-7965
Open Access | Times Cited: 51
Yield and Quality of Romaine Lettuce at Different Daily Light Integral in an Indoor Controlled Environment
B. Matysiak, Ewa Ropelewska, Anna Wrzodak, et al.
Agronomy (2022) Vol. 12, Iss. 5, pp. 1026-1026
Open Access | Times Cited: 35
Novel Machine Learning Approaches for Accurate Leaf Area Estimation in Apples
Hüsnü Demirsoy, Erdem Küçüktopçu, Derviş Emre Doğan
Deleted Journal (2025) Vol. 67, Iss. 2
Closed Access
Assessing Contents of Sugars, Vitamins, and Nutrients in Baby Leaf Lettuce from Hyperspectral Data with Machine Learning Models
Sulaymon Eshkabilov, Ivan Šimko
(2024)
Open Access | Times Cited: 4
Emerging Technologies for Precision Crop Management Towards Agriculture 5.0: A Comprehensive Overview
Mohamed Farag Taha, Hanping Mao, Zhao Zhang, et al.
Agriculture (2025) Vol. 15, Iss. 6, pp. 582-582
Open Access
Elucidation of Intelligent Classification Framework for Hydroponic Lettuce Deficiency Using Enhanced Optimization Strategy and Ensemble Multi-Dilated Adaptive Networks
Mustufa Haider Abidi, Sanjay Chintakindi, Ateekh Ur Rehman, et al.
IEEE Access (2024) Vol. 12, pp. 58406-58426
Open Access | Times Cited: 2
GranoScan: an AI-powered mobile app for in-field identification of biotic threats of wheat
Riccardo Dainelli, Antonio Bruno, Massimo Martinelli, et al.
Frontiers in Plant Science (2024) Vol. 15
Open Access | Times Cited: 2
Computer Vision Based Machine Learning and Deep Learning Approaches for Identification of Nutrient Deficiency in Crops: A Survey
M. Sudhakar, R. M. Swarna Priya
Nature Environment and Pollution Technology (2023) Vol. 22, Iss. 3, pp. 1387-1399
Open Access | Times Cited: 6
Comparative analysis of machine learning techniques for estimating groundwater deuterium and oxygen-18 isotopes
Bilal Cemek, Hakan Arslan, Erdem Küçüktopçu, et al.
Stochastic Environmental Research and Risk Assessment (2022) Vol. 36, Iss. 12, pp. 4271-4285
Closed Access | Times Cited: 8
Dynamic Measurement of Portos Tomato Seedling Growth Using the Kinect 2.0 Sensor
José‐Joel González‐Barbosa, Alfonso Ramírez-Pedraza, Francisco-Javier Ornelas-Rodríguez, et al.
Agriculture (2022) Vol. 12, Iss. 4, pp. 449-449
Open Access | Times Cited: 8
Assessing Contents of Sugars, Vitamins, and Nutrients in Baby Leaf Lettuce from Hyperspectral Data with Machine Learning Models
Sulaymon Eshkabilov, Ivan Šimko
Agriculture (2024) Vol. 14, Iss. 6, pp. 834-834
Open Access | Times Cited: 1
Hyperspectral Image Data and Waveband Indexing Methods to Estimate Nutrient Concentration on Lettuce (Lactuca sativa L.) Cultivars
Sulaymon Eshkabilov, John Stenger, Elizabeth N. Knutson, et al.
Sensors (2022) Vol. 22, Iss. 21, pp. 8158-8158
Open Access | Times Cited: 7
An example of lettuce (Lactuca Sativa) seedling selection using deep learning method for robotic seedling selection system
Erhan Kahya, Fatma Funda Özdüven
International Journal of Agriculture Environment and Food Sciences (2023) Vol. 7, Iss. 2, pp. 349-356
Open Access | Times Cited: 2
The role of remote sensing in tropical grassland nutrient estimation: a review
Adeola M. Arogoundade, Onisimo Mutanga, John Odindi, et al.
Environmental Monitoring and Assessment (2023) Vol. 195, Iss. 8
Open Access | Times Cited: 2
Detecting Cyber Attacks: A Reinforcement Learning Based Intrusion Detection System
Mostofa Ahsan, Nafiz Rifat, Md Minhaz Chowdhury, et al.
(2022) Vol. 69, pp. 461-466
Closed Access | Times Cited: 3
Developing supervised machine learning algorithms to classify lettuce foliar tissue samples into interpretation zones for 11 plant essential nutrients
Patrick Veazie, Hsuan Chen, Kristin Hicks, et al.
Urban Agriculture & Regional Food Systems (2024) Vol. 9, Iss. 1
Open Access
Sustainable smart system for vegetables plant disease detection: Four vegetable case studies
Ahmed Abdel-Monem, Adam Słowik, Ibrahim M. Hezam, et al.
Computers and Electronics in Agriculture (2024) Vol. 227, pp. 109672-109672
Closed Access
Recent Trends and Advances in Utilizing Digital Image Processing for Crop Nitrogen Management
Bhashitha Konara, Manokararajah Krishnapillai, Lakshman Galagedara
Remote Sensing (2024) Vol. 16, Iss. 23, pp. 4514-4514
Open Access
Comparative analysis of machine learning techniques for estimating groundwater deuterium and oxygen-18 isotopes
Bilal Cemek, Hakan Arslan, Erdem Küçüktopçu, et al.
Research Square (Research Square) (2022)
Closed Access
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