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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:

Enhancing parasitic organism detection in microscopy images through deep learning and fine-tuned optimizer
Yogesh Kumar, Pertik Garg, Manu Raj Moudgil, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 12

Showing 12 citing articles:

Efficient deep learning-based approach for malaria detection using red blood cell smears
Muhammad Mujahid, Furqan Rustam, Rahman Shafique, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 10
Optimized deep transfer learning techniques for spine fracture detection using CT scan images
G. Prabu Kanna, Jagadeesh Kumar, Pavithra Parthasarathi, et al.
Multimedia Tools and Applications (2025)
Closed Access
Automated detection of underwater cracks based on fusion of optical and texture information
Shuai Teng, Airong Liu, Zhihua Wu, et al.
Engineering Structures (2024) Vol. 315, pp. 118515-118515
Closed Access | Times Cited: 4
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
Dual Channel-Spatial Self-Attention Transformer and CNN Synergy Network for 3D Medical Image Segmentation
Fan Yang, Bo Wang
Applied Soft Computing (2024), pp. 112255-112255
Closed Access | Times Cited: 3
Machine Learning Based Approaches for Livestock Symptoms and Diseases Prediction and Classification
Priya Bhardwaj, S J K Jagadeesh Kumar, G. Prabu Kanna, et al.
(2024), pp. 1-6
Closed Access | Times Cited: 1
Ensemble learning using Gompertz function for leukemia classification
Arjun Abhishek, Sagar Deep Deb, Rajib Kumar Jha, et al.
Biomedical Signal Processing and Control (2024) Vol. 100, pp. 106925-106925
Closed Access | Times Cited: 1
Application of machine learning in a rodent malaria model for rapid, accurate, and consistent parasite counts
Sean Yanik, Hang Yu, Nattawat Chaiyawong, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Persistence Human Babesiosis with Low-Grade Parasitemia, Challenges for Clinical Diagnosis and Management
Fei Chen, Shuhong Fu, Jia‐Fu Jiang, et al.
Heliyon (2024) Vol. 10, Iss. 22, pp. e39960-e39960
Open Access
A lightweight deep-learning model for parasite egg detection in microscopy images
Wenbin Xu, Qiang Zhai, Jizhong Liu, et al.
Parasites & Vectors (2024) Vol. 17, Iss. 1
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
Machine Learning Approaches in Virtual Biopsy: A Review of Recent Developments and Applications
Ajaz Shah, Vishwam Modi, Yogesh Kumar
(2024), pp. 1-6
Closed Access
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