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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:

Optimization of deep learning models for the prediction of gene mutations using unsupervised clustering
Zihan Chen, Xingyu Li, Miaomiao Yang, et al.
The Journal of Pathology Clinical Research (2022) Vol. 9, Iss. 1, pp. 3-17
Open Access | Times Cited: 16

Showing 16 citing articles:

An Al-Biruni Earth Radius Optimization-Based Deep Convolutional Neural Network for Classifying Monkeypox Disease
Doaa Sami Khafaga, Abdelhameed Ibrahim‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬, El-Sayed M. El-kenawy, et al.
Diagnostics (2022) Vol. 12, Iss. 11, pp. 2892-2892
Open Access | Times Cited: 44
Mapping the landscape of histomorphological cancer phenotypes using self-supervised learning on unannotated pathology slides
Adalberto Claudio Quiros, Nicolas Coudray, Anna Yeaton, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 12
Deep learning-empowered crop breeding: intelligent, efficient and promising
Xiaoding Wang, Haitao Zeng, Limei Lin, et al.
Frontiers in Plant Science (2023) Vol. 14
Open Access | Times Cited: 15
Troponin C gene mutations on cardiac muscle cell and skeletal Regulation: A comprehensive review
Abdullahi Tunde Aborode, Ridwan Olamilekan Adesola, Ibrahim Idris, et al.
Gene (2024) Vol. 927, pp. 148651-148651
Closed Access | Times Cited: 5
Application of Deep Learning in Histopathology Images of Breast Cancer: A Review
Yue Zhao, Jie Zhang, Dayu Hu, et al.
Micromachines (2022) Vol. 13, Iss. 12, pp. 2197-2197
Open Access | Times Cited: 19
Crested ibis algorithm and its application in human-powered aircraft design
Yuefeng Xu, Rui Zhong, Chao Zhang, et al.
Knowledge-Based Systems (2025), pp. 113020-113020
Closed Access
DNA sequence analysis landscape: a comprehensive review of DNA sequence analysis task types, databases, datasets, word embedding methods, and language models
Muhammad Nabeel Asim, Muhammad Ali Ibrahim, Alam Zaib, et al.
Frontiers in Medicine (2025) Vol. 12
Open Access
Artificial intelligence in predicting EGFR mutations from whole slide images in lung Cancer: A systematic review and Meta-Analysis
Mai Ly Thi Nguyen, Le Huu Nhat Minh, Anh Tuan Bui, et al.
Lung Cancer (2025) Vol. 204, pp. 108577-108577
Closed Access
A robust and lightweight deep attention multiple instance learning algorithm for predicting genetic alterations
Bangwei Guo, Xingyu Li, Miaomiao Yang, et al.
Computerized Medical Imaging and Graphics (2023) Vol. 105, pp. 102189-102189
Open Access | Times Cited: 6
Image-Based Subtype Classification for Glioblastoma Using Deep Learning: Prognostic Significance and Biologic Relevance
Min Yuan, Haolun Ding, Bangwei Guo, et al.
JCO Clinical Cancer Informatics (2024), Iss. 8
Closed Access | Times Cited: 1
Multimodal deep learning approaches for precision oncology: a comprehensive review
Huan Yang, Minglei Yang, Jiani Chen, et al.
Briefings in Bioinformatics (2024) Vol. 26, Iss. 1
Open Access | Times Cited: 1
A systematic literature review of clustering techniques for patients with traumatic brain injury
Alejandro Moya, Elena Pretel, Elena Navarro, et al.
Artificial Intelligence Review (2023) Vol. 56, Iss. S1, pp. 351-419
Closed Access | Times Cited: 3
Deep-GenMut: Automated genetic mutation classification in oncology: A deep learning comparative study
E. Elsamahy, Asmaa E. Ahmed, Tahsin Shoala, et al.
Heliyon (2024) Vol. 10, Iss. 11, pp. e32279-e32279
Open Access
Artificial intelligence model predicts M2 macrophage levels and HCC prognosis with only globally labeled pathological images
Huiyuan Tian, Yingjie Tian, Dujuan Li, et al.
Frontiers in Oncology (2024) Vol. 14
Open Access
Beyond human capacity: How artificial intelligence (AI) is enhancing cancer diagnosis and treatment
Mehrnaz Sadat Ravari, Majid Momeny
Iranian Journal of Blood and Cancer (2023) Vol. 15, Iss. 3, pp. 4-12
Open Access
Self-supervised artificial intelligence predicts recurrence, metastasis and disease specific death from primary cutaneous squamous cell carcinoma at diagnosis
John A. Carucci, Nicolas Coudray, Michelle C. Juarez, et al.
Research Square (Research Square) (2023)
Open Access
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