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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:

Evaluation of hawthorns maturity level by developing an automated machine learning-based algorithm
Rahim Azadnia, Kamran Kheiralipour
Ecological Informatics (2022) Vol. 71, pp. 101804-101804
Closed Access | Times Cited: 31

Showing 1-25 of 31 citing articles:

Intelligent detection and waste control of hawthorn fruit based on ripening level using machine vision system and deep learning techniques
Rahim Azadnia, Saman Fouladi, Ahmad Jahanbakhshi
Results in Engineering (2023) Vol. 17, pp. 100891-100891
Open Access | Times Cited: 36
Strawberry R-CNN: Recognition and counting model of strawberry based on improved faster R-CNN
Jiajun Li, Zifeng Zhu, Hongxin Liu, et al.
Ecological Informatics (2023) Vol. 77, pp. 102210-102210
Closed Access | Times Cited: 22
Detection of different adulteration in cinnamon powder using hyperspectral imaging and artificial neural network method
Mohammad Hossein Nargesi, jafar amiriparian, Hossein Bagherpour, et al.
Results in Chemistry (2024) Vol. 9, pp. 101644-101644
Open Access | Times Cited: 8
A machine learning system to identify progress level of dry rot disease in potato tuber based on digital thermal image processing
Saeid Farokhzad, Asad Modaress Motlagh, Parviz Ahmadi Moghaddam, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 7
Medicinal and poisonous plants classification from visual characteristics of leaves using computer vision and deep neural networks
Rahim Azadnia, Faramarz Noei-Khodabadi, Azad Moloudzadeh, et al.
Ecological Informatics (2024) Vol. 82, pp. 102683-102683
Open Access | Times Cited: 7
Development of an Intelligent Imaging System for Ripeness Determination of Wild Pistachios
Kamran Kheiralipour, Mohammad Nadimi, Jitendra Paliwal
Sensors (2022) Vol. 22, Iss. 19, pp. 7134-7134
Open Access | Times Cited: 28
Machine Learning Application in Horticulture and Prospects for Predicting Fresh Produce Losses and Waste: A Review
Ikechukwu Kingsley Opara, Umezuruike Linus Opara, Jude A. Okolie, et al.
Plants (2024) Vol. 13, Iss. 9, pp. 1200-1200
Open Access | Times Cited: 6
Classification of different wheat flour types using hyperspectral imaging and machine learning techniques
Mohammad Hossein Nargesi, Kamran Kheiralipour, Digvir S. Jayas
Infrared Physics & Technology (2024) Vol. 142, pp. 105520-105520
Closed Access | Times Cited: 6
Ability of visible imaging and machine learning in detection of chickpea flour adulterant in original cinnamon and pepper powders
Mohammad Hossein Nargesi, Kamran Kheiralipour
Heliyon (2024) Vol. 10, Iss. 16, pp. e35944-e35944
Open Access | Times Cited: 5
Detection of Wheat, Chickpea, and Sea Foam in Black Pepper Using Hyperspectral Imaging Technique
Mohamad Hossein Nargesi, Kamran Kheiralipour, jafar amiriparian
(2025)
Closed Access
Development of machine learning enhanced low-cost spectrophotometer for pesticide prediction
S. Murathathunyaluk, Maturada Jinorose, K. Janpetch, et al.
Measurement (2025), pp. 116890-116890
Closed Access
Enhancing Industrial Automation Flexibility Through Neural Network-Empowered Machine Vision Applications
Nicholas George, Esteban Rosero, S. Mayakannan, et al.
Communications in computer and information science (2025), pp. 241-254
Closed Access
Quality Assessment of Dried White Mulberry (Morus alba L.) Using Machine Vision
Adel Hosainpour, Kamran Kheiralipour, Mohammad Nadimi, et al.
Horticulturae (2022) Vol. 8, Iss. 11, pp. 1011-1011
Open Access | Times Cited: 27
Detection the maturity of multi-cultivar olive fruit in orchard environments based on Olive-EfficientDet
Xueyan Zhu, Fei Chen, Xinwei Zhang, et al.
Scientia Horticulturae (2023) Vol. 324, pp. 112607-112607
Closed Access | Times Cited: 15
Construction of multidimensional features to identify tea plantations using multisource remote sensing data: A case study of Hangzhou city, China
Yawen Kang, Zhenghang Chen, Lexin Li, et al.
Ecological Informatics (2023) Vol. 77, pp. 102185-102185
Closed Access | Times Cited: 14
Detection of Camellia oleifera fruit maturity in orchards based on modified lightweight YOLO
Xueyan Zhu, Fei Chen, Yili Zheng, et al.
Computers and Electronics in Agriculture (2024) Vol. 226, pp. 109471-109471
Closed Access | Times Cited: 4
GFS-YOLO11: A Maturity Detection Model for Multi-Variety Tomato
Jinfan Wei, Lingyun Ni, Lan Luo, et al.
Agronomy (2024) Vol. 14, Iss. 11, pp. 2644-2644
Open Access | Times Cited: 3
YOLO-PEM: A Lightweight Detection Method for Young “Okubo” Peaches in Complex Orchard Environments
Jianping Jing, Shujuan Zhang, Haixia Sun, et al.
Agronomy (2024) Vol. 14, Iss. 8, pp. 1757-1757
Open Access | Times Cited: 2
Unveiling Temporal and Spatial Research Trends in Precision Agriculture: A BERTopic Text Mining Approach
Yang Liu, Fanghao Wan
Heliyon (2024) Vol. 10, Iss. 17, pp. e36808-e36808
Open Access | Times Cited: 2
Detection of chlorine in potassium chloride and potassium sulfate using chemical imaging and artificial neural network
Mohammad Hossein Nargesi, Kobra Heidarbeigi, Zahra Moradi, et al.
Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy (2024) Vol. 326, pp. 125253-125253
Closed Access | Times Cited: 2
Ripeness Evaluation of Achacha Fruit Using Hyperspectral Image Data
Ngo Minh Tri Nguyen, Nai-Shang Liou
Agriculture (2022) Vol. 12, Iss. 12, pp. 2145-2145
Open Access | Times Cited: 11
Dry fruit image dataset for machine learning applications
Vishal Meshram, Chetan Choudhary, A. S. A. Kale, et al.
Data in Brief (2023) Vol. 49, pp. 109325-109325
Open Access | Times Cited: 6
Detection of Adulteration in Cinnamon Powder Using Chemical Imaging
Mohamad Hossein Nargesi, jafar amiriparian, Hossein Bagherpour, et al.
(2024)
Closed Access | Times Cited: 1
Classification of wheat flour levels in powdered spices using visual imaging
Kamran Kheiralipour, Mohammad Hossein Nargesi
Journal of Agriculture and Food Research (2024), pp. 101408-101408
Open Access | Times Cited: 1
Visible feature engineering to detect fraud in black and red peppers
Mohammad Hossein Nargesi, Kamran Kheiralipour
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1
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