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:

Prediction of plant pest detection using improved mask FRCNN in cloud environment
P. Deepika, B. Arthi
Measurement Sensors (2022) Vol. 24, pp. 100549-100549
Open Access | Times Cited: 16

Showing 16 citing articles:

Faster-PestNet: A Lightweight Deep Learning Framework for Crop Pest Detection and Classification
Farooq Ali, Huma Qayyum, Muhammad Iqbal
IEEE Access (2023) Vol. 11, pp. 104016-104027
Open Access | Times Cited: 21

Unmanned Aerial Vehicle-based Applications in Smart Farming: A Systematic Review
El Mehdi Raouhi, Mohamed Lachgar, Hamid Hrimech, et al.
International Journal of Advanced Computer Science and Applications (2023) Vol. 14, Iss. 6
Open Access | Times Cited: 19

Deep Learning For Detection of Foliar Diseases in Soybeans Based on the Mask R-CNN Model
Ualace Vieira Gonçalves da Cruz, Tiago do Carmo Nogueira, Gelson da Cruz, et al.
Revista de Gestão Social e Ambiental (2025) Vol. 19, Iss. 1, pp. e011121-e011121
Closed Access

Polyp segmentation with colonoscopic images: a study
Yaren Akgöl, Buket Toptaş, Murat Toptaş
Neural Computing and Applications (2025)
Open Access

The Power of Vision Transformers and Acoustic Sensors for Cotton Pest Detection
S. Remya, T Anjali, S Abhishek, et al.
IEEE Open Journal of the Computer Society (2024) Vol. 5, pp. 356-367
Open Access | Times Cited: 2

Prediction of leaf disease and pest detection using deep learning
K. Nirmaladevi, P. Chaitanya Reddy, P. Tharun Kumar, et al.
AIP conference proceedings (2024)
Open Access | Times Cited: 1

Pengembangan Aplikasi Sistem Pakar Deteksi Dini Hama dan Penyakit Tanaman Jagung
Mohamad Lihawa, Zulzain Ilahude, Mukhlisulfatih Latief, et al.
Jurnal Penelitian Pertanian Terapan (2024) Vol. 24, Iss. 1, pp. 58-66
Open Access

Real-time precision spraying application for tobacco plants
Muhammad Arsalan, Ahmar Rashid, Khurram Khan, et al.
Smart Agricultural Technology (2024) Vol. 8, pp. 100497-100497
Open Access

State-of-the-Art Deep Learning Algorithms for Internet of Things-Based Detection of Crop Pests and Diseases: A Comprehensive Review
Nyakuri Jean Pierre, Celestin Nkundineza, Omar Gatera, et al.
IEEE Access (2024) Vol. 12, pp. 169824-169849
Open Access

Deep Learning-Based Accurate Detection of Insects and Damage in Cruciferous Crops Using YOLOv5
Sourav Chakrabarty, P. R. Shashank, Chandan Kumar Deb, et al.
Smart Agricultural Technology (2024), pp. 100663-100663
Open Access

Tomato Plant Disease Detection using Deep Learning Based Techniques: A Comparative study
P. Deepika, B. Arthi
(2023), pp. 01-08
Closed Access | Times Cited: 1

YOLO-IP
Rashmiranjan Nayak, Prashant Dwivedi, Umesh Chandra Pati
Practice, progress, and proficiency in sustainability (2023), pp. 133-158
Closed Access | Times Cited: 1

Detection of Whiteflies in Plants using Deep Learning
Jenowin Jebadoss, Bertia Albert
(2023), pp. 433-440
Closed Access

Deep Reinforcement Learning with Fuzzy Inference System for Prediction of Crop-sowing Windows
D. Balakrishnan, Umasree Mariappan, Pokuri Manoj Chowdary, et al.
(2023), pp. 1-6
Closed Access

Machine and Deep Learning Approaches for Plant Disease Detection: A Comprehensive Review
Et al. Yogesh V. Chimate
International Journal on Recent and Innovation Trends in Computing and Communication (2023) Vol. 11, Iss. 11s, pp. 745-757
Open Access

A Comparative Analysis of Machine Vision Algorithms for Insect Pests Classification
Nitin, Satinder Bal Gupta
Journal of Artificial Intelligence and Capsule Networks (2022) Vol. 4, Iss. 4, pp. 290-298
Open Access

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