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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:

A Deep Learning-Based Model to Reduce Costs and Increase Productivity in the Case of Small Datasets: A Case Study in Cotton Cultivation
Mohammad Amin Amani, Francesco Marinello
Agriculture (2022) Vol. 12, Iss. 2, pp. 267-267
Open Access | Times Cited: 23

Showing 23 citing articles:

Mitigating spread of contamination in meat supply chain management using deep learning
Mohammad Amin Amani, Samuel Asumadu Sarkodie
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 37
Assessment of Bitcoin carbon footprint
Samuel Asumadu Sarkodie, Mohammad Amin Amani, Maruf Yakubu Ahmed, et al.
Sustainable Horizons (2023) Vol. 7, pp. 100060-100060
Open Access | Times Cited: 18
Machine learning-based analysis of nutrient and water uptake in hydroponically grown soybeans
Sambandh Bhusan Dhal, Shikhadri Mahanta, Janie Moore, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 5
Enhancement of quality and quantity of woody biomass produced in forests using machine learning algorithms
Wei Peng, Omid Karimi Sadaghiani
Biomass and Bioenergy (2023) Vol. 175, pp. 106884-106884
Open Access | Times Cited: 11
Sustainable Forestry Logistics: Using Modified A-Star Algorithm for Efficient Timber Transportation Route Optimization
Omid Veisi
(2025)
Closed Access
Sustainable forestry logistics: Using modified A-star algorithm for efficient timber transportation route optimization
Omid Veisi, Mohammad Amin Moradi, Beheshteh Gharaei, et al.
Forest Policy and Economics (2025) Vol. 173, pp. 103456-103456
Open Access
Fx-Net and PureNet: Convolutional Neural Network architecture for discrimination of Chronic Obstructive Pulmonary Disease from smokers and healthy subjects through electronic nose signals
Cries Avian, Muhammad Izzuddin Mahali, Nur Achmad Sulistyo Putro, et al.
Computers in Biology and Medicine (2022) Vol. 148, pp. 105913-105913
Closed Access | Times Cited: 18
A review on the applications of machine learning and deep learning in agriculture section for the production of crop biomass raw materials
Wei Peng, Omid Karimi Sadaghiani
Energy Sources Part A Recovery Utilization and Environmental Effects (2023) Vol. 45, Iss. 3, pp. 9178-9201
Closed Access | Times Cited: 8
Machine learning for sustainable reutilization of waste materials as energy sources – a comprehensive review
Wei Peng, Omid Karimi Sadaghiani
International Journal of Green Energy (2023) Vol. 21, Iss. 7, pp. 1641-1666
Closed Access | Times Cited: 6
SiamFCA: A new fish single object tracking method based on siamese network with coordinate attention in aquaculture
Yupeng Mei, Ni Yan, Hanxiang Qin, et al.
Computers and Electronics in Agriculture (2023) Vol. 216, pp. 108542-108542
Closed Access | Times Cited: 6
Advancements in Sensor-Based Technologies for Precision Agriculture: An Exploration of Interoperability, Analytics and Deployment Strategies
Bishnu Kant Shukla, Neha Maurya, Manshi Sharma
(2023), pp. 22-22
Open Access | Times Cited: 5
Sustainable Forestry Logistics: Using Modified A-Star Algorithm for Efficient Timber Transportation Route Optimization
Omid Veisi, Mohammad Amin Moradi, Beheshteh Gharaei, et al.
(2024)
Closed Access | Times Cited: 1
A novel cross docking system for distributing the perishable products considering preemption: a machine learning approach
Mohammad Amin Amani, Mohammad Mahdi Nasiri
Journal of Combinatorial Optimization (2023) Vol. 45, Iss. 5
Closed Access | Times Cited: 3
Deep learning optimizer performance analysis for pomegranate fruit quality gradation
Rupali Santosh Kale, Sanjay Shitole
2021 IEEE Bombay Section Signature Conference (IBSSC) (2022), pp. 1-5
Closed Access | Times Cited: 5
Agricultural Robot Software with Machine Vision and Cognitive Artificial Intelligence Module
S. B. Benevolensky, A. A. Sirotkin, A. A. Kiryanov, et al.
2022 Systems of Signals Generating and Processing in the Field of on Board Communications (2023), pp. 1-5
Closed Access | Times Cited: 2
A review on the application of machine learning in production of woody biomass from natural and planted forests
Wei Peng, Omid Karimi Sadaghiani
Journal of Renewable and Sustainable Energy (2023) Vol. 15, Iss. 3
Open Access | Times Cited: 2
A novel technology to monitor effects of ethylene on the food products’ supply chain: a deep learning approach
M. A. Amani, Nasrin Aghamohammadi
International Journal of Environmental Science and Technology (2023) Vol. 21, Iss. 5, pp. 5007-5018
Closed Access | Times Cited: 2
Deep Learning Agricultural Information Classification Combined With Internet of Things Technology in Agricultural Production and Economic Management
He Yang, Tiejun Wen, Xiaoke Yang, et al.
IEEE Access (2022) Vol. 10, pp. 54713-54719
Open Access | Times Cited: 4
Research on Evaluation Methods of Black Soil Farmland Productivity Based on Field Block Scale
Zihao Zhu, Yonghua Xie
Applied Sciences (2024) Vol. 14, Iss. 7, pp. 3130-3130
Open Access
Deciphering genotype performance, genotype and environment interaction of seed cotton yield and ginning outturn using GGE biplot for selection of Gossypium hirsutum for rainfed ecosystem
S Sivakumar, B. K., P. Anantharaju, et al.
Research Square (Research Square) (2024)
Open Access
Accurate Deep Learning Algorithms for Skin Lesion Classification
Sohaib Najat Hasan
Ingénierie des systèmes d information (2024) Vol. 29, Iss. 4, pp. 1529-1539
Open Access
The Software of Control System for Collective Work of the Technical Developments
A. A. Kiryanov, S. B. Benevolensky, V. Yu. Sirotkin, et al.
(2023), pp. 1-4
Closed Access
Transfer Learning-Based Nutrient Deficiency Prediction Model for Sugarcane Crop
R. Madhumathi, S Raghavendar, B. Jegan, et al.
Lecture notes in networks and systems (2023), pp. 207-215
Closed Access
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