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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:

Detection of citrus black spot disease and ripeness level in orange fruit using learning-to-augment incorporated deep networks
Mohammad Momeny, Ahmad Jahanbakhshi, Ali Asghar Neshat, et al.
Ecological Informatics (2022) Vol. 71, pp. 101829-101829
Closed Access | Times Cited: 52

Showing 1-25 of 52 citing articles:

Deep learning in food category recognition
Yudong Zhang, Lijia Deng, Hengde Zhu, et al.
Information Fusion (2023) Vol. 98, pp. 101859-101859
Open Access | Times Cited: 244
Intelligent detection of citrus fruit pests using machine vision system and convolutional neural network through transfer learning technique
Ramazan Hadipour-Rokni, Ezzatollah Askari Asli‐Ardeh, Ahmad Jahanbakhshi, et al.
Computers in Biology and Medicine (2023) Vol. 155, pp. 106611-106611
Closed Access | Times Cited: 60
Grading and fraud detection of saffron via learning-to-augment incorporated Inception-v4 CNN
Mohammad Momeny, Ali Asghar Neshat, Ahmad Jahanbakhshi, et al.
Food Control (2022) Vol. 147, pp. 109554-109554
Closed Access | Times Cited: 49
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: 37
Recent advances of application of optical imaging techniques for disease detection in fruits and vegetables: A review
Sudau Eh Teet, Norhashila Hashim
Food Control (2023) Vol. 152, pp. 109849-109849
Closed Access | Times Cited: 28
Data Augmentation Techniques for Machine Learning Applied to Optical Spectroscopy Datasets in Agrifood Applications: A Comprehensive Review
Ander Gracia Moisés, Ignacio Vitoria, J. J. Imas, et al.
Sensors (2023) Vol. 23, Iss. 20, pp. 8562-8562
Open Access | Times Cited: 26
WildARe-YOLO: A lightweight and efficient wild animal recognition model
Sibusiso Reuben Bakana, Yongfei Zhang, Bhekisipho Twala
Ecological Informatics (2024) Vol. 80, pp. 102541-102541
Open Access | Times Cited: 15
Advances in Computer Vision and Spectroscopy Techniques for Non-Destructive Quality Assessment of Citrus Fruits: A Comprehensive Review
Kai Yu, Mingming Zhong, Wenjing Zhu, et al.
Foods (2025) Vol. 14, Iss. 3, pp. 386-386
Open Access | Times Cited: 1
Smart spraying technologies for precision weed management: A review
V. Vijayakumar, Yiannis Ampatzidis, John K. Schueller, et al.
Smart Agricultural Technology (2023) Vol. 6, pp. 100337-100337
Open Access | Times Cited: 22
LAIU-Net: A learning-to-augment incorporated robust U-Net for depressed humans’ tongue segmentation
Mahmoud Marhamati, Ali Asghar Latifi Zadeh, Masoud Mozhdehi Fard, et al.
Displays (2023) Vol. 76, pp. 102371-102371
Open Access | Times Cited: 17
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: 8
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: 7
Early detection and spectral signature identification of tomato fungal diseases (Alternaria alternata, Alternaria solani, Botrytis cinerea, and Fusarium oxysporum) by RGB and hyperspectral image analysis and machine learning
Seyed Mohamad Javidan, Ahmad Banakar, Keyvan Asefpour Vakilian, et al.
Heliyon (2024) Vol. 10, Iss. 19, pp. e38017-e38017
Open Access | Times Cited: 7
Strawberry Ripeness Detection Using Deep Learning Models
Zhiyuan Mi, Wei Qi Yan
Big Data and Cognitive Computing (2024) Vol. 8, Iss. 8, pp. 92-92
Open Access | Times Cited: 6
A novel approach for image-based olive leaf diseases classification using a deep hybrid model
Hicham El Akhal, A. Yahya, Noureddine Moussa, et al.
Ecological Informatics (2023) Vol. 77, pp. 102276-102276
Closed Access | Times Cited: 15
Comparative analysis of five convolutional neural networks and transfer learning classification approach for microplastics in wastewater treatment plants
Pensiri Akkajit, Arsanchai Sukkuea, Boonnisa Thongnonghin
Ecological Informatics (2023) Vol. 78, pp. 102328-102328
Closed Access | Times Cited: 13
Ten deep learning techniques to address small data problems with remote sensing
Anastasiia Safonova, Gohar Ghazaryan, Stefan Stiller, et al.
EarthArXiv (California Digital Library) (2023)
Open Access | Times Cited: 11
Vision-based strawberry classification using generalized and robust deep networks
Hossein Azizi, Ezzatollah Askari Asli‐Ardeh, Ahmad Jahanbakhshi, et al.
Journal of Agriculture and Food Research (2023) Vol. 15, pp. 100931-100931
Open Access | Times Cited: 11
Association of meteorological variables with leaf spot and fruit rot disease incidence in eggplant and YOLOv8-based disease classification
Arya Kaniyassery, Ayush Goyal, Sachin Ashok Thorat, et al.
Ecological Informatics (2024) Vol. 83, pp. 102809-102809
Open Access | Times Cited: 4
Image processing and artificial intelligence for apple detection and localization: A comprehensive review
Afshin Azizi, Zhao Zhang, Wanjia Hua, et al.
Computer Science Review (2024) Vol. 54, pp. 100690-100690
Closed Access | Times Cited: 4
Chrysanthemum classification method integrating deep visual features from both the front and back sides
Yifan Chen, Xichen Yang, Yan Hui, et al.
Frontiers in Plant Science (2025) Vol. 15
Open Access
A new maturity recognition algorithm for Xinhui citrus based on improved YOLOv8
Fuqin Deng, Zhenghong He, Lanhui Fu, et al.
Frontiers in Plant Science (2025) Vol. 16
Open Access
Bidirectional feature fusion via cross-attention transformer for chrysanthemum classification
Yifan Chen, Xichen Yang, Yan Hui, et al.
Pattern Analysis and Applications (2025) Vol. 28, Iss. 2
Closed Access
Hyperspectral technology and machine learning models to estimate the fruit quality parameters of mango and strawberry crops
Salah Elsayed, Hoda Gala, Mohamed S. Abd El-baki, et al.
PLoS ONE (2025) Vol. 20, Iss. 2, pp. e0313397-e0313397
Open Access
A review of fruit ripeness recognition methods based on deep learning
Xiaoyu Zhou, Xing Hu, Jihong Sun
Cyber-Physical Systems (2025), pp. 1-35
Closed Access
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