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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:

Waste management using an automatic sorting system for carrot fruit based on image processing technique and improved deep neural networks
Ahmad Jahanbakhshi, Mohammad Momeny, Majid Mahmoudi, et al.
Energy Reports (2021) Vol. 7, pp. 5248-5256
Open Access | Times Cited: 55

Showing 1-25 of 55 citing articles:

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
Using hyperspectral imaging technology and machine learning algorithms for assessing internal quality parameters of apple fruits
Necati Çetin, Kevser Karaman, Erhan Kavuncuoğlu, et al.
Chemometrics and Intelligent Laboratory Systems (2022) Vol. 230, pp. 104650-104650
Closed Access | Times Cited: 63
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: 50
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: 47
Developing an automated monitoring system for fast and accurate prediction of soil texture using an image-based deep learning network and machine vision system
Rahim Azadnia, Ahmad Jahanbakhshi, Shima Rashidi, et al.
Measurement (2022) Vol. 190, pp. 110669-110669
Closed Access | Times Cited: 43
Soybean disease identification using original field images and transfer learning with convolutional neural networks
Noah Bevers, Edward J. Sikora, Nate B. Hardy
Computers and Electronics in Agriculture (2022) Vol. 203, pp. 107449-107449
Closed Access | Times Cited: 41
Learning-to-augment incorporated noise-robust deep CNN for detection of COVID-19 in noisy X-ray images
Adel Akbarimajd, Nicolas Hoertel, Mohammad Arafat Hussain, et al.
Journal of Computational Science (2022) Vol. 63, pp. 101763-101763
Open Access | Times Cited: 37
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: 34
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
Detection of fraud in ginger powder using an automatic sorting system based on image processing technique and deep learning
Ahmad Jahanbakhshi, Yousef Abbaspour‐Gilandeh, Kobra Heidarbeigi, et al.
Computers in Biology and Medicine (2021) Vol. 136, pp. 104764-104764
Closed Access | Times Cited: 53
Design and development of smart Internet of Things–based solid waste management system using computer vision
Senthil Sivakumar Mookkaiah, Gurumekala Thangavelu, Rahul Hebbar, et al.
Environmental Science and Pollution Research (2022) Vol. 29, Iss. 43, pp. 64871-64885
Open Access | Times Cited: 32
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
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
Versatile waste sorting in small batch and flexible manufacturing industries using deep learning techniques
Arso M. Vukićević, Miloš Petrović, Nebojša Jurišević, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Transcriptome analysis of the taproot meristem region in contrasting orange carrot breeding lines under varying levels of drought stress
Usman Khalid Chaudhry, Muhammad Daniyal Junaid, Ali Fuat Gökçe, et al.
Acta Physiologiae Plantarum (2025) Vol. 47, Iss. 3
Closed Access
Greedy Autoaugment for classification of mycobacterium tuberculosis image via generalized deep CNN using mixed pooling based on minimum square rough entropy
Mohammad Momeny, Ali Asghar Neshat, Abdolmajid Gholizadeh, et al.
Computers in Biology and Medicine (2021) Vol. 141, pp. 105175-105175
Closed Access | Times Cited: 34
Detection of small foreign objects in Pu-erh sun-dried green tea: An enhanced YOLOv8 neural network model based on deep Learning
Zejun Wang, Shihao Zhang, Yaping Chen, et al.
Food Control (2024), pp. 110890-110890
Closed Access | Times Cited: 4
Detection Of Adulterants in Pistachio Using Machine Learning Technique
Vishesh R Bhaddurgatte, Supreeth S Koushik, S. Shushruth, et al.
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT (2025) Vol. 09, Iss. 01, pp. 1-9
Closed Access
Image-Based Weight Estimation and Classification of Post-Harvested Indian Potato (Solanum tuberosum) for Efficient Automation Using Dimensional Analysis (DA) Algorithm
Shraddha Toney, M. M. Pathan, Prashant Dhotre, et al.
Potato Research (2025)
Closed Access
A systematic literature review on municipal solid waste management using machine learning and deep learning
Ishaan Dawar, Anurag K. Srivastava, Maanas Singal, et al.
Artificial Intelligence Review (2025) Vol. 58, Iss. 6
Open Access
Horned Melon Pulp, Peel, and Seed: New Insight into Phytochemical and Biological Properties
Olja Šovljanski, Vanja Šeregelj, Lato Pezo, et al.
Antioxidants (2022) Vol. 11, Iss. 5, pp. 825-825
Open Access | Times Cited: 21
Distinguishing lacto-fermented and fresh carrot slice images using the Multilayer Perceptron neural network and other machine learning algorithms from the groups of Functions, Meta, Trees, Lazy, Bayes and Rules
Ewa Ropelewska
European Food Research and Technology (2022) Vol. 248, Iss. 9, pp. 2421-2429
Closed Access | Times Cited: 19
Hybrid CNN Model for Classification of Rumex Obtusifolius in Grassland
Ahmed Husham Al-Badri, Nor Azman Ismail, Khamael Al-Dulaimi, et al.
IEEE Access (2022) Vol. 10, pp. 90940-90957
Open Access | Times Cited: 19
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
A quality-based sustainable supply chain architecture for perishable products using image processing in the era of industry 4.0
Ashish Kumar, Sunil Agrawal
Journal of Cleaner Production (2024) Vol. 450, pp. 141910-141910
Closed Access | Times Cited: 3
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