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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 26-50 of 203 citing articles:

Revolutionizing Cancer Research: The Impact of Artificial Intelligence in Digital Biobanking
Chiara Frascarelli, Giuseppina Bonizzi, Camilla Rosella Musico, et al.
Journal of Personalized Medicine (2023) Vol. 13, Iss. 9, pp. 1390-1390
Open Access | Times Cited: 20
Restaining-based annotation for cancer histology segmentation to overcome annotation-related limitations among pathologists
Daisuke Komura, Takumi Onoyama, Koki Shinbo, et al.
Patterns (2023) Vol. 4, Iss. 2, pp. 100688-100688
Open Access | Times Cited: 18
Evolutionary design of explainable algorithms for biomedical image segmentation
Kévin Cortacero, Brienne McKenzie, Sabina Müller, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 17
Using digital pathology to standardize and automate histological evaluations of environmental samples
Philip Tanabe, Daniel Schlenk, Kristy L. Forsgren, et al.
Environmental Toxicology and Chemistry (2025) Vol. 44, Iss. 2, pp. 306-317
Closed Access
Shape, Size, and Spatial Relationships: Peritubular Capillary Features in Kidney Fibrosis and Disease Progression
Cynthia C. Nast
Clinical Journal of the American Society of Nephrology (2025)
Closed Access
Investigating lung cancer microenvironment from cell segmentation of pathological image and its application in prognostic stratification
Xu Zhang, Zi-Han Zhang, Yongmin Liu, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
A Robust Deep Learning Method for WSI-Level Diseased Glomeruli Segmentation
Pengzhou Cai, Xueyuan Zhang, Xiaowen Wang, et al.
Lecture notes in computer science (2025), pp. 192-201
Closed Access
Edge deep learning in computer vision and medical diagnostics: a comprehensive survey
Yiwen Xu, Tariq Khan, Yang Song, et al.
Artificial Intelligence Review (2025) Vol. 58, Iss. 3
Open Access
AI-based prediction of androgen receptor expression and its prognostic significance in prostate cancer
Jiawei Zhang, Feng Ding, Yitian Guo, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Bridging imaging-based in vitro methods from biomedical research to regulatory toxicology
Monica Piergiovanni, Milena Mennecozzi, Erio Barale-Thomas, et al.
Archives of Toxicology (2025)
Open Access
Novel Scalar-on-matrix Regression for Unbalanced Feature Matrices
Jeremy Rubin, Fan Fan, Laura Barisoni, et al.
Statistics in Biosciences (2025)
Open Access
Deep learning-based image analysis in muscle histopathology using photo-realistic synthetic data
Leonid Mill, Oliver Aust, Jochen A. Ackermann, et al.
Communications Medicine (2025) Vol. 5, Iss. 1
Open Access
Artificial intelligence and algorithmic computational pathology: an introduction with renal allograft examples
Alton B. Farris, Juan C. Vizcarra, Mohamed Amgad, et al.
Histopathology (2020) Vol. 78, Iss. 6, pp. 791-804
Open Access | Times Cited: 42
Moving Towards Induced Pluripotent Stem Cell-based Therapies with Artificial Intelligence and Machine Learning
Claudia Coronnello, Maria Giovanna Francipane
Stem Cell Reviews and Reports (2021) Vol. 18, Iss. 2, pp. 559-569
Open Access | Times Cited: 38
Deep-Learning–Driven Quantification of Interstitial Fibrosis in Digitized Kidney Biopsies
Yi Zheng, Clarissa A. Cassol, Saemi Jung, et al.
American Journal Of Pathology (2021) Vol. 191, Iss. 8, pp. 1442-1453
Open Access | Times Cited: 34
Benchmarking the Robustness of Deep Neural Networks to Common Corruptions in Digital Pathology
Yunlong Zhang, Yuxuan Sun, Honglin Li, et al.
Lecture notes in computer science (2022), pp. 242-252
Closed Access | Times Cited: 23
Convolutional Neural Networks for the Evaluation of Chronic and Inflammatory Lesions in Kidney Transplant Biopsies
Meyke Hermsen, Francesco Ciompi, Adeyemi Adefidipe, et al.
American Journal Of Pathology (2022) Vol. 192, Iss. 10, pp. 1418-1432
Open Access | Times Cited: 22
Pathomic Features Reveal Immune and Molecular Evolution From Lung Preneoplasia to Invasive Adenocarcinoma
Pingjun Chen, Frank Rojas, Xin Hu, et al.
Modern Pathology (2023) Vol. 36, Iss. 12, pp. 100326-100326
Open Access | Times Cited: 15
Deep-learning based breast cancer detection for cross-staining histopathology images
Pei‐Wen Huang, Hsu Ouyang, Bang-Yi Hsu, et al.
Heliyon (2023) Vol. 9, Iss. 2, pp. e13171-e13171
Open Access | Times Cited: 14
An interpretable decision-support model for breast cancer diagnosis using histopathology images
Sruthi Krishna, Su. Suganthi, Arnav Bhavsar, et al.
Journal of Pathology Informatics (2023) Vol. 14, pp. 100319-100319
Open Access | Times Cited: 14
Predicting peritoneal recurrence in gastric cancer with serosal invasion using a pathomics nomogram
Dexin Chen, Jianbo Lai, Jiaxin Cheng, et al.
iScience (2023) Vol. 26, Iss. 3, pp. 106246-106246
Open Access | Times Cited: 12
Clinical Relevance of Computationally Derived Attributes of Peritubular Capillaries from Kidney Biopsies
Yijiang Chen, Jarcy Zee, Andrew Janowczyk, et al.
Kidney360 (2023) Vol. 4, Iss. 5, pp. 648-658
Open Access | Times Cited: 12
Whole slide imaging (WSI) scanner differences influence optical and computed properties of digitized prostate cancer histology
Savannah Duenweg, Samuel Bobholz, Allison Lowman, et al.
Journal of Pathology Informatics (2023) Vol. 14, pp. 100321-100321
Open Access | Times Cited: 12
Challenges in standardizing preimplantation kidney biopsy assessments and the potential of AI-Driven solutions
Karolien Wellekens, Priyanka Koshy, Maarten Naesens
Current Opinion in Nephrology & Hypertension (2025)
Closed Access
Future of biomarker evaluation in the realm of artificial intelligence algorithms: application in improved therapeutic stratification of patients with breast and prostate cancer
Jenny Fitzgerald, Debra F. Higgins, Claudia Mazo, et al.
Journal of Clinical Pathology (2021) Vol. 74, Iss. 7, pp. 429-434
Closed Access | Times Cited: 30

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