Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

A new alternative to determine weed control in agricultural systems based on artificial neural networks (ANNs)
Alex Lima Monteiro, Matheus de Freitas Souza, Hamurábi Anízio Lins, et al.
Field Crops Research (2021) Vol. 263, pp. 108075-108075
Closed Access | Times Cited: 33

Showing 1-25 of 33 citing articles:

Sustainable Approach to Weed Management: The Role of Precision Weed Management
António Monteiro, Sérgio Ribeiro dos Santos
Agronomy (2022) Vol. 12, Iss. 1, pp. 118-118
Open Access | Times Cited: 159
Artificial intelligence applications in the agrifood sectors
Innocent Kutyauripo, Munyaradzi Charles Rushambwa, Lyndah Chiwazi
Journal of Agriculture and Food Research (2023) Vol. 11, pp. 100502-100502
Open Access | Times Cited: 81
Global Food Security and Sustainability Issues: The Road to 2030 from Nutrition and Sustainable Healthy Diets to Food Systems Change
Theodoros Varzakas, Slim Smaoui
Foods (2024) Vol. 13, Iss. 2, pp. 306-306
Open Access | Times Cited: 47
Global synthesis of cover crop impacts on main crop yield
Yu Peng, Lixin Wang, Pierre-André Jacinthe, et al.
Field Crops Research (2024) Vol. 310, pp. 109343-109343
Closed Access | Times Cited: 18
Effect of varying training epochs of a Faster Region-Based Convolutional Neural Network on the Accuracy of an Automatic Weed Classification Scheme
Oluibukun Gbenga Ajayi, John Ashi
Smart Agricultural Technology (2022) Vol. 3, pp. 100128-100128
Open Access | Times Cited: 55
Artificial-intelligence and sensing techniques for the management of insect pests and diseases in cotton: a systematic literature review
Raul Toscano-Miranda, Magaly Toro, José Aguilar, et al.
The Journal of Agricultural Science (2022) Vol. 160, Iss. 1-2, pp. 16-31
Open Access | Times Cited: 44
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: 42
Digitalization of the agro-food sector for achieving sustainable development goals: a review
Adithya Sridhar, Muthamilselvi Ponnuchamy, P. Senthil Kumar, et al.
Sustainable Food Technology (2023) Vol. 1, Iss. 6, pp. 783-802
Open Access | Times Cited: 25
Integrating machine learning models with cross-validation and bootstrapping for evaluating groundwater quality in Kanchanaburi province, Thailand
Nguyễn Ngọc Thành, Srilert Chotpantarat, Nguyen Huu Ngu, et al.
Environmental Research (2024) Vol. 252, pp. 118952-118952
Closed Access | Times Cited: 11
A New Training Strategy: Coordinating Distillation Techniques for Training Lightweight Weed Detection Model
Peng Zhou, Yifan Zhu, Chengqian Jin, et al.
Crop Protection (2025), pp. 107124-107124
Closed Access | Times Cited: 1
DAE-Mask: a novel deep-learning-based automatic detection model for in-field wheat diseases
Rui Mao, Yuchen Zhang, Zexi Wang, et al.
Precision Agriculture (2023) Vol. 25, Iss. 2, pp. 785-810
Closed Access | Times Cited: 10
Weed Waste Management: Waste-To-Wealth Approach
Ginni Rani, Payal, Ashish Kumar, et al.
(2025), pp. 121-138
Closed Access
Effect of shading on the dynamics and weed interference in organic arugula crop
Diêgo R. S. Nogueira, Rodrigo Fernandes Benjamim, Hamurábi Anízio Lins, et al.
Revista Caatinga (2025) Vol. 38
Open Access
WEED INTERFERENCE IN CARROT YIELD IN TWO LOCALIZED IRRIGATION SYSTEMS
Laís Tereza Rêgo Torquato Reginaldo, Hamurábi Anízio Lins, Matheus de Freitas Souza, et al.
Revista Caatinga (2021) Vol. 34, Iss. 1, pp. 119-131
Open Access | Times Cited: 16
Identification of four allelopathic compounds including a novel compound from Elaeocarpus floribundus Blume and determination of their allelopathic activity
Kawsar Hossen, Yuka Asato, Toshiaki Teruya, et al.
Journal of Environmental Management (2022) Vol. 326, pp. 116728-116728
Closed Access | Times Cited: 11
Artificial intelligence for herbicide recommendation: case study for the use of clomazone in Brazilian soils
Hamurábi Anízio Lins, Matheus de Freitas Souza, Lucrécia Pacheco Batista, et al.
Smart Agricultural Technology (2024), pp. 100699-100699
Open Access | Times Cited: 2
Yield loss assessment of grapes using composite drought index derived from landsat OLI and TIRS datasets
Sara Tokhi Arab, Ryozo Noguchi, Tofael Ahamed
Remote Sensing Applications Society and Environment (2022) Vol. 26, pp. 100727-100727
Closed Access | Times Cited: 10
A comprehensive investigation of Genotype-Environment interaction effects on seed cotton yield contributing traits in Gossypium hirsutum L. Using multivariate analysis and artificial neural network
Amol E. Patil, D. B. Deosarkar, Narendra Khatri, et al.
Computers and Electronics in Agriculture (2023) Vol. 211, pp. 107966-107966
Closed Access | Times Cited: 5
Forecasting the Right Crop Nutrients for Specific Crops Based on Collected Data Using an Artificial Neural Network (ANN)
Sairoel Amertet, Girma Gebresenbet
Machine Learning and Knowledge Extraction (2024) Vol. 6, Iss. 3, pp. 1936-1952
Open Access | Times Cited: 1
Edge AI for Real-Time and Intelligent Agriculture
Jigna B. Prajapati, Akash Kumar, Jhilam Pramanik, et al.
Advances in environmental engineering and green technologies book series (2023), pp. 215-244
Closed Access | Times Cited: 3
Allelopathic Potential of Marsdenia tenacissima (Roxb.) Moon against Four Test Plants and the Biological Activity of Its Allelopathic Novel Compound, 8-Dehydroxy-11β-O-Acetyl-12β-O-Tigloyl-17β-Marsdenin
Seinn Moh Moh, Naoaki Kurisawa, Kiyotake Suenaga, et al.
Plants (2023) Vol. 12, Iss. 8, pp. 1663-1663
Open Access | Times Cited: 3
Species composition of rare weeds in the south of the Far East
Т. В. Мороховец, Vadim Morokhovets, Nina Skorik, et al.
BIO Web of Conferences (2023) Vol. 71, pp. 01110-01110
Open Access | Times Cited: 2
Spatial variability mapping of indaziflam and metribuzin sorption–desorption for precision weed control
Alessandro da Costa Lima, Marcelo Chan Fu Wei, Ana Flávia Souza Laube, et al.
Precision Agriculture (2023) Vol. 25, Iss. 1, pp. 30-50
Closed Access | Times Cited: 1
Recent Advances in the Utilisation of Artificial Intelligence in the Food Industry
Moses Ojukwu, Chigozie E. Ofoedu, Chijioke M. Osuji, et al.
Advances in environmental engineering and green technologies book series (2024), pp. 299-317
Closed Access
Conventional to Modern Agriculture Using Artificial Intelligence
Smrati Tripathi, Prasen Jeet, Rijwan Khan, et al.
Advances in web technologies and engineering book series (2024), pp. 142-161
Closed Access
Page 1 - Next Page

Scroll to top