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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:

Dry bean cultivars classification using deep cnn features and salp swarm algorithm based extreme learning machine
Musa Doğan, Yavuz Selim Taşpınar, İlkay Çınar, et al.
Computers and Electronics in Agriculture (2022) Vol. 204, pp. 107575-107575
Closed Access | Times Cited: 56

Showing 1-25 of 56 citing articles:

Detection of bruises on red apples using deep learning models
Zeynep Ünal, Тефиде Кизилдениз, Mustafa ÖZDEN, et al.
Scientia Horticulturae (2024) Vol. 329, pp. 113021-113021
Closed Access | Times Cited: 16
CoffeeNet: A deep learning approach for coffee plant leaves diseases recognition
Marriam Nawaz, Tahira Nazir, Ali Javed, et al.
Expert Systems with Applications (2023) Vol. 237, pp. 121481-121481
Closed Access | Times Cited: 31
Detection of fish freshness using artificial intelligence methods
Elham Tahsin Yasin, İlker Ali Özkan, Murat Köklü
European Food Research and Technology (2023) Vol. 249, Iss. 8, pp. 1979-1990
Closed Access | Times Cited: 27
Stacked encoded cascade error feedback deep extreme learning machine network for manufacturing order completion time
Waqar Ahmed Khan, Mahmoud Masoud, Abdelrahman E. E. Eltoukhy, et al.
Journal of Intelligent Manufacturing (2024)
Closed Access | Times Cited: 6
Fisheye freshness detection using common deep learning algorithms and machine learning methods with a developed mobile application
Müslüme Beyza Yıldız, Elham Tahsin Yasin, Murat Köklü
European Food Research and Technology (2024) Vol. 250, Iss. 7, pp. 1919-1932
Open Access | Times Cited: 6
Application of hybrid capsule network model for malaria parasite detection on microscopic blood smear images
S. Aanjan Kumar, Monoj Kumar Muchahari, S. Poonkuntran, et al.
Multimedia Tools and Applications (2024)
Closed Access | Times Cited: 6
An Optimized Extreme Learning Machine Composite Framework for Point, Probabilistic, and Quantile Regression Forecasting of Carbon Price
Xu‐Ming Wang, Jiaqi Zhou, Xiaobing Yu
Process Safety and Environmental Protection (2025), pp. 106772-106772
Closed Access
Detection of hazelnut varieties and development of mobile application with CNN data fusion feature reduction-based models
Bunyamin Gencturk, Sadiye Arsoy, Yavuz Selim Taşpınar, et al.
European Food Research and Technology (2023) Vol. 250, Iss. 1, pp. 97-110
Closed Access | Times Cited: 15
A novel framework combining band selection algorithm and improved 3D prototypical network for tree species classification using airborne hyperspectral images
Wu Jing, Long Chen, Jiaqi Wang, et al.
Computers and Electronics in Agriculture (2024) Vol. 219, pp. 108813-108813
Closed Access | Times Cited: 4
Non-Destructive Classification of Maize Seeds Based on RGB and Hyperspectral Data with Improved Grey Wolf Optimization Algorithms
Chunguang Bi, Shuo Zhang, He Chen, et al.
Agronomy (2024) Vol. 14, Iss. 4, pp. 645-645
Open Access | Times Cited: 4
Au octahedrons monolayer film SERS substrate coupled with a hybrid metaheuristic algorithm-optimized ELM model: An analytical strategy for rapid and label-free detection of zearalenone in corn oil
Jiaji Zhu, Hao Qian, Afang Zhu, et al.
Food Chemistry (2025) Vol. 476, pp. 143516-143516
Closed Access
Comparison performance of the CNN-based deep learning models for the distinguishing ultrasound pretreated and microwave dried jujube fruits
Banu Ulu, Seda Günaydın, Necati Çetin
Measurement (2025), pp. 117047-117047
Closed Access
Artificial Intelligence in Food Manufacturing: A Review of Current Work and Future Opportunities
Mert Canatan, Nasser Alkhulaifi, Nicholas J. Watson, et al.
Food Engineering Reviews (2025)
Closed Access
Advanced machine learning techniques for hyacinth bean identification using infrared spectroscopy and computer vision
Pratik Madhukar Gorde, Poonam Singha, Sushil Kumar Singh
Sustainable Food Technology (2025)
Open Access
Advancing Legume Quality Assessment Through Machine Learning: Current Trends and Future Directions
Mahdi Rashvand, Mehrad Nikzadfar, Sabina Laveglia, et al.
Journal of Food Composition and Analysis (2025), pp. 107532-107532
Closed Access
Gaussian mutation-alpine skiing optimization algorithm-recurrent attention unit-gated recurrent unit-extreme learning machine model: an advanced predictive model for predicting evaporation
Mohammad Ehteram, Fatemeh Barzegari Banadkooki, Mahdie Afshari Nia
Stochastic Environmental Research and Risk Assessment (2024) Vol. 38, Iss. 5, pp. 1803-1830
Closed Access | Times Cited: 3
Method of Peanut Pod Quality Detection Based on Improved ResNet
Lili Yang, Changlong Wang, Jianfeng Yu, et al.
Agriculture (2023) Vol. 13, Iss. 7, pp. 1352-1352
Open Access | Times Cited: 9
MResCaps: Enhancing capsule networks with parallel lanes and residual blocks for high‐performance medical image classification
Sümeyra Büşra Şengül, İlker Ali Özkan
International Journal of Imaging Systems and Technology (2024) Vol. 34, Iss. 4
Open Access | Times Cited: 3
Deep Learning-Based Classification of Black Gram Plant Leaf Diseases: A Comparative Study
Elham Tahsin Yasin, Ramazan Kursun, Murat Köklü
Proceedings of the International Conference on Advanced Technologies (2023)
Open Access | Times Cited: 7
Mutation boosted salp swarm optimizer meets rough set theory: A novel approach to software defect detection
Kripa Sekaran, Sherly Puspha Annabel Lawrence
Transactions on Emerging Telecommunications Technologies (2024) Vol. 35, Iss. 3
Closed Access | Times Cited: 2
Coffee Bean Grading Based on Weight Estimation Using Densenet121 Model
Bipin Nair B J, Abrav Nanda K M, A. S. Shalwin, et al.
2022 6th International Conference On Computing, Communication, Control And Automation (ICCUBEA (2023), pp. 1-6
Closed Access | Times Cited: 6
Machine Learning-Based Classification of Infected Date Palm Leaves Caused by Dubas Insects: A Comparative Analysis of Feature Extraction Methods and Classification Algorithms
Ramazan Kursun, Elham Tahsin Yasin, Murat Köklü
2022 Innovations in Intelligent Systems and Applications Conference (ASYU) (2023)
Closed Access | Times Cited: 5
Detection of Chicken Diseases from Fecal Images with the Pre-Trained Places365-GoogLeNet Model
İlkay Çınar
(2023), pp. 752-758
Closed Access | Times Cited: 5
Automated Identification of Morphological Characteristics of Three Thunnus Species Based on Different Machine Learning Algorithms
Liguo Ou, Bilin Liu, Xinjun Chen, et al.
Fishes (2023) Vol. 8, Iss. 4, pp. 182-182
Open Access | Times Cited: 4
Automated classification of hand-woven and machine-woven carpets based on morphological features using machine learning algorithms
Melike Turan Işık, Burcu Ozulku, Ramazan Kursun, et al.
Journal of the Textile Institute (2024) Vol. 115, Iss. 12, pp. 2650-2659
Closed Access | Times Cited: 1
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