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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:

Digital pathology and computational image analysis in nephropathology
Laura Barisoni, Kyle Lafata, Stephen M. Hewitt, et al.
Nature Reviews Nephrology (2020) Vol. 16, Iss. 11, pp. 669-685
Open Access | Times Cited: 203

Showing 76-100 of 203 citing articles:

Toward a quantitative method for estimating tumour-stroma ratio in breast cancer using polarized light microscopy
Jillian Sprenger, Ciara Murray, Jigar Lad, et al.
Biomedical Optics Express (2021) Vol. 12, Iss. 6, pp. 3241-3241
Open Access | Times Cited: 16
Artificial intelligence in renal pathology: Current status and future
Chunyue Feng, Fei Liu
Bosnian Journal of Basic Medical Sciences (2022)
Open Access | Times Cited: 11
Artificial Intelligence Enabled Diagnostic Digital Cytopathology System for Cervical Intraepithelial Neoplasia Detection: Advantages and Challenges
Akanksha Kapruwan, Sachin Sharma, Himanshu Rai Goyal
(2023), pp. 669-674
Closed Access | Times Cited: 6
Multi-Configuration Analysis of DenseNet Architecture for Whole Slide Image Scoring of ER-IHC
Wan Siti Halimatul Munirah Wan Ahmad, Mohammad Faizal Ahmad Fauzi, Md Jahid Hasan, et al.
IEEE Access (2023) Vol. 11, pp. 79911-79928
Open Access | Times Cited: 6
The Role of Machine Learning in Cardiovascular Pathology
Carolyn Glass, Kyle Lafata, William R. Jeck, et al.
Canadian Journal of Cardiology (2021) Vol. 38, Iss. 2, pp. 234-245
Closed Access | Times Cited: 14
Deep learning segmentation of glomeruli on kidney donor frozen sections
Xiang Li, Richard Davis, Yuemei Xu, et al.
Journal of Medical Imaging (2021) Vol. 8, Iss. 06
Open Access | Times Cited: 14
Deep Learning Algorithms for the Prediction of Posttransplant Renal Function in Deceased-Donor Kidney Recipients: A Preliminary Study Based on Pretransplant Biopsy
You Luo, Jing Liang, Xiao Hu, et al.
Frontiers in Medicine (2022) Vol. 8
Open Access | Times Cited: 10
Communicator-Driven Data Preprocessing Improves Deep Transfer Learning of Histopathological Prediction of Pancreatic Ductal Adenocarcinoma
Raphael M. Kronberg, Lena Haeberle, Melanie Pfaus, et al.
Cancers (2022) Vol. 14, Iss. 8, pp. 1964-1964
Open Access | Times Cited: 10
Artificial intelligence in laparoscopic cholecystectomy: does computer vision outperform human vision?
Runwen Liu, Jingjing An, Ziyao Wang, et al.
Artificial Intelligence Surgery (2022) Vol. 2, Iss. 2, pp. 80-92
Open Access | Times Cited: 10
Deep learning-based pathology signature could reveal lymph node status and act as a novel prognostic marker across multiple cancer types
Siteng Chen, Jinxi Xiang, Xiyue Wang, et al.
British Journal of Cancer (2023) Vol. 129, Iss. 1, pp. 46-53
Open Access | Times Cited: 5
Large-scale extraction of interpretable features provides new insights into kidney histopathology – A proof-of-concept study
Laxmi Gupta, Barbara M. Klinkhammer, Claudia Seikrit, et al.
Journal of Pathology Informatics (2022) Vol. 13, pp. 100097-100097
Open Access | Times Cited: 9
Natural Language Processing in Diagnostic Texts from Nephropathology
Maximilian Legnar, Philipp Daumke, Jürgen Hesser, et al.
Diagnostics (2022) Vol. 12, Iss. 7, pp. 1726-1726
Open Access | Times Cited: 9
Banff Digital Pathology Working Group: Image Bank, Artificial Intelligence Algorithm, and Challenge Trial Developments
Alton B. Farris, Mariam P. Alexander, Ulysses J. Balis, et al.
Transplant International (2023) Vol. 36
Open Access | Times Cited: 5
Pathomics and Deep Learning Classification of a Heterogeneous Fluorescence Histology Image Dataset
Georgios Ioannidis, Eleftherios Trivizakis, Ioannis Metzakis, et al.
Applied Sciences (2021) Vol. 11, Iss. 9, pp. 3796-3796
Open Access | Times Cited: 12
Identification of glomerulosclerosis using IBM Watson and shallow neural networks
Francesco Pesce, Federica Albanese, Davide Mallardi, et al.
Journal of Nephrology (2022) Vol. 35, Iss. 4, pp. 1235-1242
Open Access | Times Cited: 8
Artificial Intelligence in Biomedical Image Processing
Jubie Selvaraj, Prabha Thangavelu, T. Durai Ananda Kumar, et al.
(2022), pp. 147-188
Closed Access | Times Cited: 8
Cultivating Clinical Clarity through Computer Vision: A Current Perspective on Whole Slide Imaging and Artificial Intelligence
Ankush Patel, Nada Shaker, Sambit K. Mohanty, et al.
Diagnostics (2022) Vol. 12, Iss. 8, pp. 1778-1778
Open Access | Times Cited: 8
High Macrophage Densities in Native Kidney Biopsies Correlate With Renal Dysfunction and Promote ESRD
Maren Bettina Pfenning, Jessica Schmitz, Irina Scheffner, et al.
Kidney International Reports (2022) Vol. 8, Iss. 2, pp. 341-356
Open Access | Times Cited: 8
Unsupervised many-to-many stain translation for histological image augmentation to improve classification accuracy
Maryam Berijanian, Nadine S. Schaadt, Boqiang Huang, et al.
Journal of Pathology Informatics (2023) Vol. 14, pp. 100195-100195
Open Access | Times Cited: 4
Artificial intelligence in cancer pathology: Challenge to meet increasing demands of precision medicine
Boan Lai, Jianjiang Fu, Qingxin Zhang, et al.
International Journal of Oncology (2023) Vol. 63, Iss. 3
Closed Access | Times Cited: 4
Prototype Network for Predicting Occluded Picking Position Based on Lychee Phenotypic Features
Yuanhong Li, Jiapeng Liao, Jing Wang, et al.
Agronomy (2023) Vol. 13, Iss. 9, pp. 2435-2435
Open Access | Times Cited: 4
Computational approaches for hematopoietic stem cells
Pawan Kumar Raghav, Basudha Banerjee, Rajesh Kumar, et al.
Elsevier eBooks (2024), pp. 331-346
Closed Access | Times Cited: 1
Classification of pathologies on digital chest radiographs using machine learning methods
Murat Aitimov, Ainur Shekerbek, I. A. Pestunov, et al.
International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering (2024) Vol. 14, Iss. 2, pp. 1899-1899
Open Access | Times Cited: 1
tRigon: an R package and Shiny App for integrative (path-)omics data analysis
David L. Hölscher, Michaël Goedertier, Barbara M. Klinkhammer, et al.
BMC Bioinformatics (2024) Vol. 25, Iss. 1
Open Access | Times Cited: 1
Efficient Training of Colorectal Cancer Diagnosis Model through Unsupervised Learning Composite Network
Pradeep Kundlik Deshmukh Deepak T. Mane
Deleted Journal (2024) Vol. 20, Iss. 1s, pp. 114-125
Open Access | Times Cited: 1

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