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:

A novel deep learning model with the Grey Wolf Optimization algorithm for cotton disease detection
Burak Gülmez
JUCS - Journal of Universal Computer Science (2023) Vol. 29, Iss. 6, pp. 595-626
Open Access | Times Cited: 17

Showing 17 citing articles:

Stock price prediction with optimized deep LSTM network with artificial rabbits optimization algorithm
Burak Gülmez
Expert Systems with Applications (2023) Vol. 227, pp. 120346-120346
Open Access | Times Cited: 118

Hybrid Approach of Cotton Disease Detection for Enhanced Crop Health and Yield
Rahul Kumar, Ashok Kumar, Karamjit Bhatia, et al.
IEEE Access (2024) Vol. 12, pp. 132495-132507
Open Access | Times Cited: 8

Advancements in rice disease detection through convolutional neural networks: A comprehensive review
Burak Gülmez
Heliyon (2024) Vol. 10, Iss. 12, pp. e33328-e33328
Open Access | Times Cited: 6

Explainable ResNet50 learning model based on copula entropy for cotton plant disease prediction
Heba Askr, M. A. El-Dosuky, Ashraf Darwish, et al.
Applied Soft Computing (2024) Vol. 164, pp. 112009-112009
Closed Access | Times Cited: 6

Enhancing stock index prediction: A hybrid LSTM-PSO model for improved forecasting accuracy
Xiaohua Zeng, Changzhou Liang, Qian Yang, et al.
PLoS ONE (2025) Vol. 20, Iss. 1, pp. e0310296-e0310296
Open Access

A new multi-objective hyperparameter optimization algorithm for COVID-19 detection from x-ray images
Burak Gülmez
Soft Computing (2024) Vol. 28, Iss. 19, pp. 11601-11617
Open Access | Times Cited: 3

Designing a Smart Agri-Crop Framework on Cotton Production using ABO Optimized Vision Transformer Model
R. Bhavani, R. Balamanigandan, Katta Sona, et al.
Journal of Machine and Computing (2024), pp. 230-237
Open Access

Cotton Diseases Multiclassification: CNN and Random Forest Approach
Nisha Kumari, Tripti Mandal, Pranav Kumar, et al.
(2024) Vol. 10, pp. 71-74
Closed Access

Role of Artificial Intelligence in Crop Health Monitoring for Sustainable Farming - A Comprehensive Survey
Riya Pendse, Sagar Gokhale, Harsh Chaudhari, et al.
SSRN Electronic Journal (2024)
Closed Access

Advancements in maize disease detection: A comprehensive review of convolutional neural networks
Burak Gülmez
Computers in Biology and Medicine (2024) Vol. 183, pp. 109222-109222
Open Access

A Composite Meta Model for the Identification of Cotton Pathologies Utilizing an IoT-Enabled Framework and Stacked Generalization Learning Methodology
Bhushan V. Patil, Pravin S. Patil
International Research Journal of Multidisciplinary Technovation (2024), pp. 128-144
Open Access

Advanced deep transfer learning techniques for efficient detection of cotton plant diseases
Prashant Johri, SeongKi Kim, Kumud Dixit, et al.
Frontiers in Plant Science (2024) Vol. 15
Open Access

Automated lesion detection in cotton leaf visuals using deep learning
Faisal Akbar, Yassine Aribi, Syed Muhammad Usman, et al.
PeerJ Computer Science (2024) Vol. 10, pp. e2369-e2369
Open Access

Hybrid Ensemble Learning with CNN and RNN for Multimodal Cotton Plant Disease Detection
Anita Shrotriya, Akhilesh Sharma, Amit Kumar Bairwa, et al.
IEEE Access (2024) Vol. 12, pp. 198028-198045
Open Access

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