Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Virtual staining for histology by deep learning
Leena Latonen, Sonja Koivukoski, Umair Khan, et al.
Trends in biotechnology (2024) Vol. 42, Iss. 9, pp. 1177-1191
Open Access | Times Cited: 10

Showing 10 citing articles:

Image Analysis in Histopathology and Cytopathology: From Early Days to Current Perspectives
Tibor Mezei, Melinda Kolcsár, András Joó, et al.
Journal of Imaging (2024) Vol. 10, Iss. 10, pp. 252-252
Open Access | Times Cited: 9
BiaPy: A unified framework for versatile bioimage analysis with deep learning
Daniel Franco-Barranco, Jesús A. Andrés-San Román, Iván Hidalgo-Cenalmor, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 4
Virtual Staining for Pathology: Challenges, Limitations and Perspectives
Weiping Lin, Yihuang Hu, Rong Zhu, et al.
(2025)
Closed Access
Computational Synthesis of Histological Stains: A Step Toward Virtual Enhanced Digital Pathology
Massimo Salvi, Nicola Michielli, Lorenzo Salamone, et al.
International Journal of Imaging Systems and Technology (2024) Vol. 34, Iss. 5
Open Access | Times Cited: 1
Physics and artificial intelligence: illuminating the future of optics and photonics
Md Sadman Sakib Rahman, Aydogan Özcan
Advanced Photonics (2024) Vol. 6, Iss. 05
Open Access | Times Cited: 1
Deep Learning for Accurate, Efficient, Economical, and ConsistentCancer Diagnosis Compared to Traditional Biopsy
Jia-Hong Lin
Science and Technology of Engineering Chemistry and Environmental Protection (2024) Vol. 1, Iss. 7
Open Access
ML-driven segmentation of microvascular features during histological examination of tissue-engineered vascular grafts
Вячеслав Данилов, Vladislav V. Laptev, K. Yu. Klyshnikov, et al.
Frontiers in Bioengineering and Biotechnology (2024) Vol. 12
Open Access
Virtual multi-staining in a single-section view for renal pathology using generative adversarial networks
Masataka Kawai, Toru Odate, Kazunari Kasai, et al.
Computers in Biology and Medicine (2024) Vol. 182, pp. 109149-109149
Open Access
Assessment of AI-based computational H&E staining versus chemical H&E staining for primary diagnosis in lymphomas: a brief interim report
Rima Koka, Laura Wake, Nam K Ku, et al.
Journal of Clinical Pathology (2024), pp. jcp-209643
Closed Access
Trends and Challenges of the Modern Pathology Laboratory for Biopharmaceutical Research Excellence
Sílvia Sisó, Anoop Kavirayani, Suzana S. Couto, et al.
Toxicologic Pathology (2024)
Closed Access
Page 1

Scroll to top