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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:

Computer Vision and Deep Learning as Tools for Leveraging Dynamic Phenological Classification in Vegetable Crops
Leandro Rodrigues, Sandro Augusto Magalhães, Daniel Queirós da Silva, et al.
Agronomy (2023) Vol. 13, Iss. 2, pp. 463-463
Open Access | Times Cited: 14

Showing 14 citing articles:

Deep Learning YOLO-Based Solution for Grape Bunch Detection and Assessment of Biophysical Lesions
Isabel Pinheiro, Germano Moreira, Daniel Queirós da Silva, et al.
Agronomy (2023) Vol. 13, Iss. 4, pp. 1120-1120
Open Access | Times Cited: 27
Artificial Intelligence in Agricultural Mapping: A Review
Ramón Espinel, Gricelda Herrera-Franco, José Luis Rivadeneira García, et al.
Agriculture (2024) Vol. 14, Iss. 7, pp. 1071-1071
Open Access | Times Cited: 12
Deep learning for rapid crop damage assessment after cyclones
Shiv Kumar
Natural Hazards (2025)
Closed Access
High-Precision Tomato Disease Detection Using NanoSegmenter Based on Transformer and Lightweighting
Yufei Liu, Yihong Song, Ran Ye, et al.
Plants (2023) Vol. 12, Iss. 13, pp. 2559-2559
Open Access | Times Cited: 8
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
Noninvasive system for weight estimation in cactus crops: A YOLOv5-decision tree approach based on interval type-2 fuzzy sets
José L. Rodríguez-Álvarez, Jorge Luis García-Alcaráz, Rita Puig, et al.
Chemometrics and Intelligent Laboratory Systems (2024) Vol. 245, pp. 105064-105064
Closed Access | Times Cited: 1
Deep Learning Structure for Real-time Crop Monitoring Based on Neural Architecture Search and UAV
Hicham Slimani, Jamal El Mhamdi, Abdelilah Jilbab
Brazilian Archives of Biology and Technology (2024) Vol. 67
Open Access | Times Cited: 1
IPMCNet: A Lightweight Algorithm for Invasive Plant Multiclassification
Huiling Chen, Xi Qiao, Feng Qin, et al.
Agronomy (2024) Vol. 14, Iss. 2, pp. 333-333
Open Access | Times Cited: 1
Deep learning based approach for actinidia flower detection and gender assessment
Isabel Pinheiro, Germano Moreira, Sandro Augusto Magalhães, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1
Machine Learning Methodologies, Wages Paid and the Most Relevant Predictors
Vítor João Pereira Domingues Martinho
SpringerBriefs in applied sciences and technology (2024), pp. 99-110
Closed Access
Classification of Vegetable Quality with InceptionV3, Xception and Combination of These Models
Fatma Baydar, Halit Bakır, Metin Zontul
(2024) Vol. 1, pp. 1-7
Closed Access
Quantum Active Learning for Vegetable Plant Phenology Annotation
Anshit Mukherjee, Gunjan Mukherjee, Biswanath Mallik
(2024), pp. 13-23
Closed Access
Synergizing Crop Growth Models and Digital Phenotyping: The Design of a Cost-Effective Internet of Things-Based Sensing Network
Leandro Rodrigues, Pedro Henrique Abreu Moura, Francisco Terra, et al.
(2023)
Open Access | Times Cited: 1
Automatic Differentiation Between Coriander and Parsley Using MobileNetV2
Isabel Paéz, José Luis Arévalo, María José Abad Martínez, et al.
Communications in computer and information science (2024), pp. 18-30
Closed Access
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