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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:

Colposcopic multimodal fusion for the classification of cervical lesions
Yinuo Fan, Huizhan Ma, Yuanbin Fu, et al.
Physics in Medicine and Biology (2022) Vol. 67, Iss. 13, pp. 135003-135003
Closed Access | Times Cited: 10

Showing 10 citing articles:

A deep learning knowledge distillation framework using knee MRI and arthroscopy data for meniscus tear detection
Mengjie Ying, Yufan Wang, Kai Yang, et al.
Frontiers in Bioengineering and Biotechnology (2024) Vol. 11
Open Access | Times Cited: 5
Classification of cervical lesions based on multimodal features fusion
Jing Li, Peng Hu, Huayu Gao, et al.
Computers in Biology and Medicine (2024) Vol. 177, pp. 108589-108589
Closed Access | Times Cited: 5
Segmentation of the cervical lesion region in colposcopic images based on deep learning
Hui Yu, Yinuo Fan, Huizhan Ma, et al.
Frontiers in Oncology (2022) Vol. 12
Open Access | Times Cited: 20
A segmentation model to detect cevical lesions based on machine learning of colposcopic images
Zhen Li, Chu-Mei Zeng, Yan-Gang Dong, et al.
Heliyon (2023) Vol. 9, Iss. 11, pp. e21043-e21043
Open Access | Times Cited: 7
CerviFusionNet: A Multi-Modal, Hybrid CNN-Transformer-GRU Model for Enhanced Cervical Lesion Multi-classification
Yuyang Sha, Qingyue Zhang, Xiaobing Zhai, et al.
iScience (2024) Vol. 27, Iss. 12, pp. 111313-111313
Open Access | Times Cited: 1
A deep learning-based method for cervical transformation zone classification in colposcopy images
Yuzhen Cao, Huizhan Ma, Yinuo Fan, et al.
Technology and Health Care (2022) Vol. 31, Iss. 2, pp. 527-538
Closed Access | Times Cited: 4
CeLaTis: A Large Scale Multimodal Dataset with Deep Region Network to Diagnose Cervical Cancer
Lalasa Mukku, Jyothi Thomas
Lecture notes in networks and systems (2024), pp. 154-163
Closed Access
CMT-CNN: colposcopic multimodal temporal hybrid deep learning model to detect cervical intraepithelial neoplasia
Lalasa Mukku, Jyothi Thomas
International Journal of Advances in Intelligent Informatics (2024) Vol. 10, Iss. 2, pp. 317-317
Open Access
Detecting and localizing cervical lesions in colposcopic images with deep semantic feature mining
Li Wang, Ruiyun Chen, Jingjing Weng, et al.
Frontiers in Oncology (2024) Vol. 14
Open Access
Hybrid Decision Fusion based Multimodal Ensemble Framework for Cervical Cancer Detection
Lalasa Mukku, Jyothi Thomas
International Journal of Scientific Research in Computer Science Engineering and Information Technology (2023), pp. 17-24
Open Access
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