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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:

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

Showing 1-25 of 26 citing articles:

ParasitoBank Dataset for Diagnosing Intestinal Parasitism: Helminths and Protozoa in Coprological Samples
Jader Alejandro Muñoz Galindez, Luis Reinel Vásquez Arteaga, Rubiel Vargas Cañas
Data in Brief (2025) Vol. 58, pp. 111279-111279
Open Access | Times Cited: 1
Comparative Analysis of Resource-efficient YOLO Models for Rapid and Accurate Recognition of Intestinal Parasitic Eggs in Stool Microscopy
Venkatesan Kotteswaran, Muthulakshmi Muthunayagam, P. Balaji, et al.
Intelligence-Based Medicine (2025), pp. 100212-100212
Open Access
An Artificial Intelligence-Based Approach for Human Parasite Egg Segmentation and Classification
Sohag Kumar Mondal, Monira Islam, Md. Salah Uddin Yusuf
(2025)
Closed Access
Real-Time American Sign Language Interpretation Using Deep Learning and Keypoint Tracking
Bader Alsharif, Easa Alalwany, Ali Ibrahim, et al.
Sensors (2025) Vol. 25, Iss. 7, pp. 2138-2138
Open Access
Automatic detection of Opisthorchis viverrini egg in stool examination using convolutional-based neural networks
Tongjit Thanchomnang, Natthanai Chaibutr, Wanchai Maleewong, et al.
PeerJ (2024) Vol. 12, pp. e16773-e16773
Open Access | Times Cited: 3
Improved YOLOv4-tiny based on attention mechanism for skin detection
Ping Li, Taiyu Han, Yifei Ren, et al.
PeerJ Computer Science (2023) Vol. 9, pp. e1288-e1288
Open Access | Times Cited: 9
Automating parasite egg detection: insights from the first AI-KFM challenge
Salvatore Capuozzo, Stefano Marrone, Michela Gravina, et al.
Frontiers in Artificial Intelligence (2024) Vol. 7
Open Access | Times Cited: 2
Two-stage automated diagnosis framework for urogenital schistosomiasis in microscopy images from low-resource settings
Prosper Oyibo, Brice Meulah, Michel Bengtson, et al.
Journal of Medical Imaging (2023) Vol. 10, Iss. 04
Open Access | Times Cited: 5
Improving faster R-CNN generalization for intestinal parasite detection using cycle-GAN based data augmentation
Satish Kumar, Tasleem Arif, Gulfam Ahamad, et al.
Deleted Journal (2024) Vol. 6, Iss. 5
Open Access | Times Cited: 1
Development of a Machine Learning Model for the Classification of Enterobius vermicularis Egg
Natthanai Chaibutr, Pongphan Pongpanitanont, Sakhone Laymanivong, et al.
Journal of Imaging (2024) Vol. 10, Iss. 9, pp. 212-212
Open Access | Times Cited: 1
Effective Laboratory Diagnosis of Parasitic Infections of the Gastrointestinal Tract: Where, When, How, and What Should We Look For?
Julia Dąbrowska, Maria Groblewska, Maria Bendykowska, et al.
Diagnostics (2024) Vol. 14, Iss. 19, pp. 2148-2148
Open Access | Times Cited: 1
Validation of Vetscan Imagyst®, a diagnostic test utilizing an artificial intelligence deep learning algorithm, for detecting strongyles and Parascaris spp. in equine fecal samples
Ashley E. Steuer, Jason Fritzler, SaraBeth Boggan, et al.
Parasites & Vectors (2024) Vol. 17, Iss. 1
Open Access | Times Cited: 1
Superior Automatic Screening for Human Helminthic Ova by Using Self-supervised Learning Approach-Based Object Classification
Natchapon Pinetsuksai, Veerayuth Kittichai, Rangsan Jomtarak, et al.
Communications in computer and information science (2023), pp. 40-51
Closed Access | Times Cited: 2
Development of Self-Supervised Learning with Dinov2-Distilled Models for Parasite Classification in Screening
Natchapon Pinetsuksai, Veerayuth Kittichai, Rangsan Jomtarak, et al.
(2023), pp. 323-328
Closed Access | Times Cited: 2
The detection and classification of acute myeloid leukaemia blood cell images based on different YOLO approaches
Kaung Myat Naing, Veerayuth Kittichai, Teerawat Tongloy, et al.
Bulletin of Electrical Engineering and Informatics (2024) Vol. 13, Iss. 2, pp. 1147-1158
Open Access
Parasitic Egg Detection and Classification: A Systematic Review
Md. Ariful Islam, Jahid Hassan, Most. Momtahina Bani, et al.
(2024)
Closed Access
Evaluation of alarm notification of artificial intelligence in automated analyzer detection of parasites
Zila Wang, Lin Liao, Ximei Huang, et al.
Medicine (2024) Vol. 103, Iss. 39, pp. e39788-e39788
Open Access
Towards automatic farrowing monitoring—A Noisy Student approach for improving detection performance of newborn piglets
Martin Wutke, Clara Lensches, Ulrich Hartmann, et al.
PLoS ONE (2024) Vol. 19, Iss. 10, pp. e0310818-e0310818
Open Access
Identification of veterinary and medically important blood parasites using contrastive loss-based self-supervised learning
Supasuta Busayakanon, Morakot Kaewthamasorn, Natchapon Pinetsuksai, et al.
Veterinary World (2024), pp. 2619-2634
Open Access
Peer Review #2 of "Improved YOLOv4-tiny based on attention mechanism for skin detection (v0.2)"
Ping Li, Taiyu Han, Yifei Ren, et al.
(2023)
Open Access
Peer Review #1 of "Improved YOLOv4-tiny based on attention mechanism for skin detection (v0.1)"
Ping Li, Taiyu Han, Yifei Ren, et al.
(2023)
Open Access
Peer Review #2 of "Improved YOLOv4-tiny based on attention mechanism for skin detection (v0.1)"
Ping Li, Taiyu Han, Yifei Ren, et al.
(2023)
Open Access
Peer Review #2 of "Improved YOLOv4-tiny based on attention mechanism for skin detection (v0.3)"
Ping Li, Taiyu Han, Yifei Ren, et al.
(2023)
Open Access
Automatic detection of Cryptosporidium in optical microscopy images using YOLOv5x: a comparative study
Johan Sebastian Lopez Salguero, Melissa Rodríguez Rendón, Jessica Triviño-Valencia, et al.
Biochemistry and Cell Biology (2023) Vol. 101, Iss. 6, pp. 538-549
Closed Access
Generative AI for Industrial Applications: Synthetic Dataset
Thanyathep Sasiaowapak, Siridech Boonsang, Santhad Chuwongin, et al.
(2023), pp. 1-6
Closed Access
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