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:

Artificial Neural Networks in Agriculture
Sebastian Kujawa, Gniewko Niedbała
Agriculture (2021) Vol. 11, Iss. 6, pp. 497-497
Open Access | Times Cited: 116

Showing 1-25 of 116 citing articles:

Evaluation of geopolymer concrete at high temperatures: An experimental study using machine learning
Mohammad Rahmati, Vahab Toufigh
Journal of Cleaner Production (2022) Vol. 372, pp. 133608-133608
Closed Access | Times Cited: 66

How artificial intelligence uses to achieve the agriculture sustainability: Systematic review
Vilani Sachithra, Leela Subhashini
Artificial Intelligence in Agriculture (2023) Vol. 8, pp. 46-59
Open Access | Times Cited: 38

Artificial Intelligence Tools and Techniques to Combat Herbicide Resistant Weeds—A Review
Shirin Ghatrehsamani, Gaurav Jha, Writuparna Dutta, et al.
Sustainability (2023) Vol. 15, Iss. 3, pp. 1843-1843
Open Access | Times Cited: 31

Machine Learning‐Enhanced Triboelectric Sensing Application
Ruzhi Shang, Huamin Chen, Xu Cai, et al.
Advanced Materials Technologies (2024) Vol. 9, Iss. 7
Closed Access | Times Cited: 12

Computer Vision for Plant Disease Recognition: A Comprehensive Review
Minh Hoang Dang, Hanxiang Wang, Yanfen Li, et al.
The Botanical Review (2024) Vol. 90, Iss. 3, pp. 251-311
Closed Access | Times Cited: 10

AI-Driven Decision-Making and Optimization in Modern Agriculture Sectors
Joel Jebadurai Devapitchai, Mary V. V. Sheela, L. Rajeshkumar, et al.
Advances in media, entertainment and the arts (AMEA) book series (2024), pp. 269-288
Closed Access | Times Cited: 9

Artificial neural network and random forest regression models for modelling fatty acid and tocopherol content in oil of winter rapeseed
Dragana Rajković, Ana Marjanović‐Jeromela, Lato Pezo, et al.
Journal of Food Composition and Analysis (2022) Vol. 115, pp. 105020-105020
Open Access | Times Cited: 34

Multiclass Apple Varieties Classification Using Machine Learning with Histogram of Oriented Gradient and Color Moments
Alper Taner, Mahtem Teweldemedhin Mengstu, K. Selvi, et al.
Applied Sciences (2023) Vol. 13, Iss. 13, pp. 7682-7682
Open Access | Times Cited: 15

Comparing Machine Learning and PLSDA Algorithms for Durian Pulp Classification Using Inline NIR Spectra
Dharma Raj Pokhrel, Panmanas Sirisomboon, Lampan Khurnpoon, et al.
Sensors (2023) Vol. 23, Iss. 11, pp. 5327-5327
Open Access | Times Cited: 13

Determining Moisture Content of Basil Using Handheld Near-Infrared Spectroscopy
Reyhaneh Gorji, Jan Škvařil, Monica Odlare
Horticulturae (2024) Vol. 10, Iss. 4, pp. 336-336
Open Access | Times Cited: 5

Chili Pepper Object Detection Method Based on Improved YOLOv8n
Na Ma, Yulong Wu, Yifan Bo, et al.
Plants (2024) Vol. 13, Iss. 17, pp. 2402-2402
Open Access | Times Cited: 5

Artificial Neural Networks and Computer Vision’s-Based Phytoindication Systems for Variable Rate Irrigation Improving
Galina Kamyshova, Aleksey Osipov, Sergey Gataullin, et al.
IEEE Access (2022) Vol. 10, pp. 8577-8589
Open Access | Times Cited: 22

Apple diseases: detection and classification using transfer learning
Assif Assad, Muzafar Rasool Bhat, Z. A. Bhat, et al.
Quality Assurance and Safety of Crops & Foods (2023) Vol. 15, Iss. SP1, pp. 27-37
Open Access | Times Cited: 12

Application of Artificial Neural Networks in Soil Science Research
N. Elakiya, G Keerthana
Archives of Current Research International (2024) Vol. 24, Iss. 5, pp. 1-15
Open Access | Times Cited: 4

Multi-spectra combined with Bayesian optimized machine learning algorithms for rapid and non-destructive detection of adulterated functional food Panax notoginseng powder
Huanhuan Guan, Zhi‐Tong Zhang, Lei Bai, et al.
Journal of Food Composition and Analysis (2024) Vol. 133, pp. 106412-106412
Closed Access | Times Cited: 4

Crop Yield Forecasting Based on Echo State Network Tuned by Crayfish Optimization Algorithm
Nebojša Bačanin, Luka Jovanovic, Marko Djordjevic, et al.
(2024) Vol. 14, pp. 1-6
Closed Access | Times Cited: 4

Integrating Artificial Intelligence into an Automated Irrigation System
Nicoleta Cristina Găitan, Bianca Ioana Batinas, Calin Ursu, et al.
Sensors (2025) Vol. 25, Iss. 4, pp. 1199-1199
Open Access

Climate Change in Agriculture: Impacts, Adaptation, and Mitigation
Asma Mansoor, Laila Shahzad
Sustainable development and biodiversity (2025), pp. 281-311
Closed Access

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

Mapping the impacts of neural networks on human resource management research: a bibliometric analysis
Md. Nazmus Sakib, Mohammad Abdul Jabber, Mohammad Younus, et al.
Future Business Journal (2025) Vol. 11, Iss. 1
Open Access

A Meta-Analysis of Remote Sensing Technologies and Methodologies for Crop Characterization
Hazhir Bahrami, Heather McNairn, Masoud Mahdianpari, et al.
Remote Sensing (2022) Vol. 14, Iss. 22, pp. 5633-5633
Open Access | Times Cited: 16

Physiological and AI-based study of endophytes on medicinal plants: A mini review
Saloni Kunwar, Aditya Joshi, Prateek Gururani, et al.
Plant Science Today (2023)
Open Access | Times Cited: 10

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