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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:

RETRACTED ARTICLE: Agro Suraksha: pest and disease detection for corn field using image analysis
S. Mahalakshmi, K. Vijayalakshmi
Journal of Ambient Intelligence and Humanized Computing (2020) Vol. 12, Iss. 7, pp. 7375-7389
Closed Access | Times Cited: 13

Showing 13 citing articles:

A high performance-oriented AI-enabled IoT-based pest detection system using sound analytics in large agricultural field
Md. Akkas Ali, Rajesh Kumar Dhanaraj, Anand Nayyar
Microprocessors and Microsystems (2023) Vol. 103, pp. 104946-104946
Closed Access | Times Cited: 29
Rice Leaf Disease Classification Using Cnn
Pallapothala Tejaswini, Priyanshi Singh, Monica Ramchandani, et al.
IOP Conference Series Earth and Environmental Science (2022) Vol. 1032, Iss. 1, pp. 012017-012017
Open Access | Times Cited: 38
Deep Learning Based Disease, Pest Pattern and Nutritional Deficiency Detection System for “Zingiberaceae” Crop
Hamna Waheed, Noureen Zafar, Waseem Akram, et al.
Agriculture (2022) Vol. 12, Iss. 6, pp. 742-742
Open Access | Times Cited: 24
AI in apiculture: A novel framework for recognition of invasive insects under unconstrained flying conditions for smart beehives
Abdul Nasir, Muhammad Obaid Ullah, Muhammad Haroon Yousaf
Engineering Applications of Artificial Intelligence (2023) Vol. 119, pp. 105784-105784
Closed Access | Times Cited: 14
A real-time object detection model for orchard pests based on improved YOLOv4 algorithm
Haitong Pang, Yitao Zhang, Weiming Cai, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 22
Enhanced K-means Color Clustering Based on SLIC Superpixels Merging incorporated within the Entomology Software: AInsectID
Haleema Sadia, Parvez Alam
(2024), pp. 1-9
Closed Access | Times Cited: 2
A Mobile-Based System for Detecting Ginger Leaf Disorders Using Deep Learning
Hamna Waheed, Waseem Akram, Saif ul Islam, et al.
Future Internet (2023) Vol. 15, Iss. 3, pp. 86-86
Open Access | Times Cited: 5
Revolutionizing Crop Management: An Emphasis on Ginger Leaf Disease Detection Techniques Using Machine Learning and IoT
C M Shreelakshmi, Channakrishna Raju
(2023), pp. 1-5
Closed Access | Times Cited: 3
A Comparative Survey of Maize Leaf Diseases using Pre-Trained Convolutional Neural Networks
K. Kanchanadevi, G. K. Sandhia
(2023), pp. 1-6
Closed Access | Times Cited: 1
IOT-Based Pest Detection in Maize Plants Using Machine Learning
A. Syafiq Muhammad, Satria Mandala, Putu Harry Gunawan
(2023), pp. 254-258
Closed Access | Times Cited: 1
Deep learning based video surveillance for predicting vehicle density in real time scenario
G Priyanka, J. Senthil Kumar, S. T. Veena
Journal of Ambient Intelligence and Humanized Computing (2023) Vol. 14, Iss. 4, pp. 4371-4383
Closed Access
A NOVEL LOSS OPTIMIZED VGG-16 APPROACH FOR CORN LEAVES DISEASE DETECTION
Gopalan Vijaya, Anil Behara
International Journal of Food and Nutritional Sciences (2023) Vol. 11, Iss. 12
Closed Access
APD-229: a textual-visual database for agricultural pests and diseases
Shan-Song Wang, Weijian Ni, Qingtian Zeng, et al.
Multimedia Tools and Applications (2023) Vol. 83, Iss. 8, pp. 22189-22220
Closed Access
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