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:

Classification of Fruit Flies by Gender in Images Using Smartphones and the YOLOv4-Tiny Neural Network
М. А. Генаев, Е. Г. Комышев, Olga D. Shishkina, et al.
Mathematics (2022) Vol. 10, Iss. 3, pp. 295-295
Open Access | Times Cited: 19

Showing 19 citing articles:

Lightweight tomato real-time detection method based on improved YOLO and mobile deployment
Taiheng Zeng, Siyi Li, Qiming Song, et al.
Computers and Electronics in Agriculture (2023) Vol. 205, pp. 107625-107625
Closed Access | Times Cited: 108

Application of machine learning in automatic image identification of insects - a review
Yuanyi Gao, Xiaobao Xue, Guo‐Qing Qin, et al.
Ecological Informatics (2024) Vol. 80, pp. 102539-102539
Open Access | Times Cited: 14

Automatic recognition of parasitic products in stool examination using object detection approach
Kaung Myat Naing, Siridech Boonsang, Santhad Chuwongin, et al.
PeerJ Computer Science (2022) Vol. 8, pp. e1065-e1065
Open Access | Times Cited: 26

A Lightweight Crop Pest Detection Method Based on Convolutional Neural Networks
Zekai Cheng, Rongqing Huang, Rong Qian, et al.
Applied Sciences (2022) Vol. 12, Iss. 15, pp. 7378-7378
Open Access | Times Cited: 21

New trends in detection of harmful insects and pests in modern agriculture using artificial neural networks. a review
Dan Popescu, Alexandru Dinca, Loretta Ichim, et al.
Frontiers in Plant Science (2023) Vol. 14
Open Access | Times Cited: 12

Video based oil palm ripeness detection model using deep learning
Franz Adeta, Suharjito Suharjito
Heliyon (2023) Vol. 9, Iss. 1, pp. e13036-e13036
Open Access | Times Cited: 10

Real-Time Oil Palm Fruit Grading System Using Smartphone and Modified YOLOv4
Suharjito Suharjito, Muhammad Asrol, Ditdit Nugeraha Utama, et al.
IEEE Access (2023) Vol. 11, pp. 59758-59773
Open Access | Times Cited: 10

A mobile application to identify poison ivy (Toxicodendron radicans) plants in real time using convolutional neural network
Renato Herrig Furlanetto, Arnold W. Schumann, Nathan S. Boyd
Multimedia Tools and Applications (2024) Vol. 83, Iss. 21, pp. 60419-60441
Closed Access | Times Cited: 2

Image detection model construction of Apolygus lucorum and Empoasca spp. based on improved YOLOv5
Bo Xiong, Delu Li, Qi Zhang, et al.
Pest Management Science (2024) Vol. 80, Iss. 6, pp. 2577-2586
Closed Access | Times Cited: 2

A Fast and Low-Power Detection System for the Missing Pin Chip Based on YOLOv4-Tiny Algorithm
Shiyi Chen, Wugang Lai, Junjie Ye, et al.
Sensors (2023) Vol. 23, Iss. 8, pp. 3918-3918
Open Access | Times Cited: 4

Comparative analysis of potato blight diseases BARI-72 and BARI-73 using a simplified convolutional neural network method

International Journal of Advanced Technology and Engineering Exploration (2024) Vol. 11, Iss. 115
Open Access | Times Cited: 1

Decision Fusion-Based System to Detect Two Invasive Stink Bugs in Orchards
Alexandru Dinca, Dan Popescu, Loretta Ichim, et al.
Smart Agricultural Technology (2024) Vol. 9, pp. 100548-100548
Open Access | Times Cited: 1

Promotion of Color Sorting in Industrial Systems Using a Deep Learning Algorithm
Ivana Medojević, Emil Veg, Aleksandra Joksimović, et al.
Applied Sciences (2022) Vol. 12, Iss. 24, pp. 12817-12817
Open Access | Times Cited: 3

Research on identification and detection of coal and gangue based on infrared thermal imaging technology and improved YOLOv8n
Yan Wang, Zongtang Zhang, Xiulei Zhang, et al.
International Journal of Coal Preparation and Utilization (2024), pp. 1-21
Closed Access

Automatic counting and identification of two Drosophila melanogaster (Diptera: Drosophilidae) morphs with image-recognition artificial intelligence
Aaron Gálvez Salido, Roberto de la Herrán, Francisca Robles, et al.
The Canadian Entomologist (2024) Vol. 156
Closed Access

GBiDC-PEST: A novel lightweight model for real-time multiclass tiny pest detection and mobile platform deployment
Weiyue Xu, Ruxue Yang, Raghupathy Karthikeyan, et al.
Journal of Integrative Agriculture (2024)
Open Access

A Systematic Literature Review on Insect Detection in Images
Lotfi Souifi, Afef Mdhaffar, Ismael Bouassida Rodriguez, et al.
(2022), pp. 41-56
Open Access

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