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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:

Estimation of different ripening stages of Fuji apples using image processing and spectroscopy based on the majority voting method
Razieh Pourdarbani, Sajad Sabzi, Davood Kalantari, et al.
Computers and Electronics in Agriculture (2020) Vol. 176, pp. 105643-105643
Closed Access | Times Cited: 23

Showing 23 citing articles:

Artificial Neural Networks in Agriculture, the core of artificial intelligence: What, When, and Why
Salvador Castillo‐Gironés, Sandra Munera, Marcelino Martı́nez-Sober, et al.
Computers and Electronics in Agriculture (2025) Vol. 230, pp. 109938-109938
Open Access | Times Cited: 4
Detection of Mulberry Ripeness Stages Using Deep Learning Models
Seyed-Hassan Miraei Ashtiani, Shima Javanmardi, Mehrdad Jahanbanifard, et al.
IEEE Access (2021) Vol. 9, pp. 100380-100394
Open Access | Times Cited: 103
Non-Destructive Estimation of Physicochemical Properties and Detection of Ripeness Level of Apples Using Machine Vision
Sajad Sabzi, Mohammad Nadimi, Yousef Abbaspour‐Gilandeh, et al.
International Journal of Fruit Science (2022) Vol. 22, Iss. 1, pp. 628-645
Open Access | Times Cited: 33
Convolutional Neural Networks for Estimating the Ripening State of Fuji Apples Using Visible and Near-Infrared Spectroscopy
Brahim Benmouna, Ginés Garcı́a-Mateos, Sajad Sabzi, et al.
Food and Bioprocess Technology (2022) Vol. 15, Iss. 10, pp. 2226-2236
Open Access | Times Cited: 29
Examination of Lemon Bruising Using Different CNN-Based Classifiers and Local Spectral-Spatial Hyperspectral Imaging
Razieh Pourdarbani, Sajad Sabzi, Mohsen Dehghankar, et al.
Algorithms (2023) Vol. 16, Iss. 2, pp. 113-113
Open Access | Times Cited: 16
Comparison of 2D and 3D convolutional neural networks in hyperspectral image analysis of fruits applied to orange bruise detection
Raziyeh Pourdarbani, Sajad Sabzi, Reihaneh Zohrabi, et al.
Journal of Food Science (2023) Vol. 88, Iss. 12, pp. 5149-5163
Open Access | Times Cited: 11
Rapid Identification of Apple Maturity Based on Multispectral Sensor Combined with Spectral Shape Features
Mengsheng Zhang, Maosheng Shen, Yuge Pu, et al.
Horticulturae (2022) Vol. 8, Iss. 5, pp. 361-361
Open Access | Times Cited: 17
From Harvest to Market: Non-Destructive Bruise Detection in Kiwifruit Using Convolutional Neural Networks and Hyperspectral Imaging
Sajad Ebrahimi, Razieh Pourdarbani, Sajad Sabzi, et al.
Horticulturae (2023) Vol. 9, Iss. 8, pp. 936-936
Open Access | Times Cited: 10
Machine Vision Systems for Post-Harvest Quality Assessment
A Pavana Kumari, Jaswinder Singh, Sonu Langaya
Advances in environmental engineering and green technologies book series (2025), pp. 397-430
Closed Access
Nondestructive estimation of three apple fruit properties at various ripening levels with optimal Vis-NIR spectral wavelength regression data
Razieh Pourdarbani, Sajad Sabzi, Juan Ignacio Arribas
Heliyon (2021) Vol. 7, Iss. 9, pp. e07942-e07942
Open Access | Times Cited: 22
Classification of Healthy and Frozen Pomegranates Using Hyperspectral Imaging and Deep Learning
A. Mousavi, Raziyeh Pourdarbani, Sajad Sabzi, et al.
Horticulturae (2024) Vol. 10, Iss. 1, pp. 43-43
Open Access | Times Cited: 3
One-Dimensional Convolutional Neural Networks for Hyperspectral Analysis of Nitrogen in Plant Leaves
Razieh Pourdarbani, Sajad Sabzi, Mohammad Hossein Rohban, et al.
Applied Sciences (2021) Vol. 11, Iss. 24, pp. 11853-11853
Open Access | Times Cited: 13
Predicting soluble solids content in “Fuji” apples of different ripening stages based on multiple information fusion
Yirui Huang, Juan Wang, Na Li, et al.
Pattern Recognition Letters (2021) Vol. 151, pp. 76-84
Closed Access | Times Cited: 11
Interpretation of Hyperspectral Images Using Integrated Gradients to Detect Bruising in Lemons
Razieh Pourdarbani, Sajad Sabzi, Mohammad Nadimi, et al.
Horticulturae (2023) Vol. 9, Iss. 7, pp. 750-750
Open Access | Times Cited: 4
Raman spectroscopy as a tool for characterisation of quality parameters in Norwegian grown apples during ripening
Olga Monago‐Maraña, Jens Petter Wold, Siv Fagertun Remberg, et al.
Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy (2024) Vol. 323, pp. 124903-124903
Open Access | Times Cited: 1
Exploration of Machine Learning Algorithms for pH and Moisture Estimation in Apples Using VIS-NIR Imaging
Erhan Kavuncuoğlu, Necati Çetin, Bekir Yıldırım, et al.
Applied Sciences (2023) Vol. 13, Iss. 14, pp. 8391-8391
Open Access | Times Cited: 3
Non-Destructive Prediction of Titratable Acidity and Taste Index Properties of Gala Apple Using Combination of Different Hybrids ANN and PLSR-Model Based Spectral Data
Vali Rasooli Sharabiani, Sajad Sabzi, Razieh Pourdarbani, et al.
Plants (2020) Vol. 9, Iss. 12, pp. 1718-1718
Open Access | Times Cited: 8
Real-Time Surveillance for Identification of Fruits Ripening Stages and Vegetables Maturation Stages with Infection Detection
K. Jaspin, S. Selvan, J. Dafni Rose, et al.
(2021), pp. 581-586
Closed Access | Times Cited: 6
Tunicate Henry gas solubility optimization‐based deep residual network for fruit ripeness classification
Muthulakshmi Arumugasamy, Arokiasamy Antonidoss
Concurrency and Computation Practice and Experience (2022) Vol. 35, Iss. 2
Closed Access | Times Cited: 3
Segmentation of Bruises in Fruit Thermograms During Post Harvest Stage Using K-Means Clustering Technique
Reginold Jebita, Josephine Selle Jeyanathan, Sulu Fathima, et al.
(2024), pp. 1-4
Closed Access
Optimization of information gain interval for determining artificial ripeness of banana using image data with imbalanced class
Candra Dewi, Endang Arisoesilaningsih, Wayan Firdaus Mahmudy
Agriculture and Natural Resources (2023) Vol. 57, Iss. 4
Open Access
Chilli Dryness and Ripening Stages Assessment Using Machine Vision
Mahantesh Sajjan, Lingangouda Kulkarni, Basavaraj S. Anami, et al.
International Journal of Image Graphics and Signal Processing (2023) Vol. 15, Iss. 6, pp. 67-80
Open Access
Imaging Techniques for Evaluation of Ripening and Maturity of Fruits and Vegetables
Hülya Çakmak, Ece Söğüt
(2022), pp. 35-59
Closed Access
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