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:

Hyperparameter Optimization of Deep Learning Networks for Classification of Breast Histopathology Images
Cheng‐Jian Lin, Shiou-Yun Jeng, Chin‐Ling Lee
Sensors and Materials (2021) Vol. 33, Iss. 1, pp. 315-315
Open Access | Times Cited: 8

Showing 8 citing articles:

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: 18

Vector Deep Fuzzy Neural Network for Breast Cancer Classification
Chin‐Teng Lin, Mei-Yu Wu, Yi‐Hsuan Chuang, et al.
Sensors and Materials (2023) Vol. 35, Iss. 3, pp. 795-795
Open Access | Times Cited: 2

Advancing Tumor Cell Classification and Segmentation in Ki-67 Images: A Systematic Review of Deep Learning Approaches
Mohamed Zaki, Oussama Elallam, Oussama Jami, et al.
Lecture notes in networks and systems (2024), pp. 94-112
Closed Access

Hyper Parameter Optimization of CRNN for Printed Devanagari Script Recognition using Taguchi's Method
Shaheera Saba Mohd Naseem Akhter, Priti P. Rege
ACM Transactions on Asian and Low-Resource Language Information Processing (2023) Vol. 22, Iss. 4, pp. 1-20
Closed Access | Times Cited: 1

Understanding the Mechanism of Deep Learning Frameworks in Lesion Detection for Pathological Images with Breast Cancer
Wei‐Wen Hsu, Chung‐Hao Chen, Hao Chang, et al.
Sensors and Materials (2022) Vol. 34, Iss. 4, pp. 1337-1337
Open Access | Times Cited: 1

IHCNet: Advancing Multi-Stage HER2 Status Detection in Breast Cancer Using Interpretable Robust Transfer Learning Model from IHC Images
Md Sakib Hossain Shovon, Jungpil Shin, M. F. Mridha
2021 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies (3ICT) (2023), pp. 326-332
Closed Access

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